JP4177019B2 - Product distribution system, product replenishment source device, product distribution method, and replenishment destination warehouse terminal - Google Patents

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a product distribution system, a product replenishment source apparatus, a product distribution method, and a replenishment destination warehouse terminal for replenishing each product from a product replenishment source warehouse to a replenishment destination warehouse that is a regional integrated warehouse scattered throughout the country.
[0002]
[Prior art]
In general, products (products) manufactured by a manufacturer are once delivered to and stored in a replenishment source warehouse that serves as one or more headquarters warehouses, and then linked with each sales base according to the inventory status of each product. It takes the form of replenishing products to replenishment destination warehouses scattered in each region and region with which it has a relationship.
[0003]
By the way, it is general that a minimum stock is arranged in the replenishment destination warehouse and products are replenished from the replenishment source warehouse to the replenishment destination warehouse as the inventory decreases. At this time, the replenishment of the inventory from the replenishment source warehouse to the replenishment destination warehouse is based on a system in which the logistics department of a specific supplier replenishes products to the replenishment destination warehouse as needed based on a request from the replenishment source warehouse.
[0004]
[Problems to be solved by the invention]
Therefore, in the product distribution method as described above, every time the product inventory in the replenishment destination warehouse decreases, the distribution department of a specific contractor is requested to deliver, so the problem is that the cost required for the delivery increases greatly. Has been.
[0005]
Therefore, it is possible to reduce the logistics cost by having a lot of product inventory, or conversely ignore the logistics cost and replenish as needed while holding the minimum inventory, but which inventory replenishment method is adopted There is no clear indicator of what to do. In other words, the cost (expense) indicators related to inventory and logistics are biased to one of the two, making it difficult to make comprehensive judgments. After all, it is generally left to the experience and intuition of the person in charge. .
[0006]
The present invention has been made in view of the above circumstances, and provides a product distribution system, a product replenishment source apparatus, a product distribution method, and a replenishment destination warehouse terminal that maintain inventory without reducing shortage while reducing distribution costs. Objective.
[0007]
[Means for Solving the Problems]
(1) In order to solve the above-mentioned problem, at least one product replenishment source device is connected through a network, and a plurality of products in cooperation with sales bases scattered in regions / regions from a replenishment source warehouse having the product replenishment source device. The product distribution system according to the present invention for replenishing a product to a product replenishment destination warehouse notifies the shipment / sale result data for each month / product. Replenishment destination Replenishment destination warehouse terminals possessed by the respective warehouses, and predicted reduction quantities from the required months for each of the replenishment destination warehouse terminals created from the past monthly and product shipment results data received from each of these replenishment destination warehouse terminals From prior stock quantity before the required month Create inventory transition prediction data for each warehouse, each month, and each product, and use the generated inventory transition prediction data to determine the number of cracks for each product that should be replenished in the same warehouse in each month after the month when the shortage occurs. And calculate the number of cracks for each product. Calculate the total number of cracked products for each warehouse and each month, Temporarily set a tonnage car to request delivery based on the total number of cracks in all products, the number of each ton car loaded in advance for each product, and the volume data for each product. Based on the logistics arrangement cost of each ton car, calculate the logistics cost of a combination of one or more ton cars equivalent to loading the total number of broken products over several months due to advance, and the cheapest of these logistics costs The product replenishment source device that determines one or more tonnage vehicles that will be a distribution cost is provided.
[0008]
With the above-described configuration, the present invention calculates the total product cracking quantity for each warehouse and each month, and loads the total product cracking quantity over a plurality of months in advance based on the logistics arrangement cost of each ton car. The distribution cost of a combination of one or more tonn cars corresponding to this is calculated, and one or more tonn cars that will be the cheapest distribution cost is determined from these distribution costs, so that no shortage will occur In the range, it is possible to replenish the corresponding replenishment destination warehouses with the total number of products broken over several months due to advance, and it is possible to replenish products at a low logistics cost for each replenishment destination warehouse.
[0009]
(2) The product replenishment source apparatus according to the present invention receives at least one product that receives sales performance data for each month and each product from a plurality of replenishment destination warehouses that are linked to sales bases scattered in regions and regions through a network. A replenishment source device,
Reduction forecast data from the required month created from demand forecast data for each warehouse, month, and product created from the sales performance data for each replenishment warehouse, each month, and each product Inventory transition forecasting means to create inventory transition forecast data for each warehouse, each month, and each product from the preliminary inventory quantity, and each warehouse and each month obtained from the inventory transition forecast data created by this inventory transition forecasting means・ Calculates the number of cracks for each product and calculates the total number of cracks for all products for each month from the number of cracks for each warehouse / month / product. Number of cracks per warehouse / month / all products The tonnage vehicles requested for delivery are temporarily set based on the number of loads for each product of each tonnage vehicle determined in advance and the volume data for each product. While considering the logistics arrangement cost of each ton car, calculate the logistics cost of a combination of one or more ton cars that match the temporarily set ton car that has been compiled every month or over several months due to advance, This is a product replenishment source device provided with a distribution cost calculation means for determining one or more tonnage vehicles that will be the cheapest distribution cost among the costs.
[0010]
In the product replenishment source apparatus, the replenishment plan processing means uses the replenishment plan processing unit to determine the product replenishment plan for each month in the product replenishment source device. The total number of cracks of all products for each month is calculated from the number of cracks for each month. Here, the logistics cost calculation means provisionally sets the tonnage truck that loads products according to the total number of cracks for each warehouse, each month, and every product, and considers the logistics arrangement cost of each tonnage car. Calculate the distribution cost of a combination of one or more tonnage vehicles that match the temporarily set tonnage vehicles collected over the month or several months due to advance, and one of these distribution costs will be the cheapest distribution cost Since the above-described tonnage wheel is determined, the same operational effects as the above item (1) can be obtained.
[0011]
(3) In the product distribution method according to the present invention, at least one product replenishment source device is connected through a network, and is linked to sales bases scattered in regions / regions from the replenishment source warehouse having the product replenishment source device. A product distribution method for replenishing products to a plurality of replenishment destination warehouses,
The step of notifying the product replenishment source warehouse of the shipment result data for each month and product from the replenishment destination warehouse terminal possessed by each replenishment destination warehouse, and for each replenishment destination warehouse notified by this step Steps to create demand forecast data for each warehouse, month, and product from the shipment actual data for each product, the forecasted reduction data from the required month created from the demand forecast data in this step, and the advance of the required month Inventory transition prediction data creation step for creating inventory transition prediction data for each warehouse, each month, and each product from the inventory quantity, and each warehouse, each month, and product obtained from the inventory transition prediction data created in this step A replenishment planning process step that calculates the number of cracks for each product and calculates the total number of cracks for all products for each month from the number of cracks for each warehouse, each month, and each product. It calculated the warehouse every-cracking the total quantity of each month each, all products And a delivery request based on the number of loads for each product and the volume data for each product. A combination of one or more tonn cars that match the temporarily set tonn cars that have been compiled over a period of several months while considering the logistics arrangement cost of each tonn car set in advance This is a product logistics method having a logistics cost calculation step of calculating a logistics cost and determining one or more tonnage vehicles that are the cheapest logistics cost among the logistics costs.
[0012]
By adopting the method as described above, the present invention has the same effects as the items (1) and (2).
[0013]
(4) In addition, the product replenishment source device as another invention predicts the product shortage quantity for each replenishment destination warehouse, each month, and each product from the shipment result data for each month and each product from a plurality of replenishment destination warehouses. When the shortage of all products is added for each month, and the shortage month is consecutive, the shortage month of the shortage month is the replenishment timing, and the shortage of all products due to advancement over these consecutive months If it is decided whether or not it can be replenished with a large tonnage car, and it is determined that the large ton car is a delivery vehicle, it can be delivered in large ton cars in multiple months without causing a shortage As a result, logistics costs can be reduced.
[0014]
The same can be realized in the product distribution method processed by the above procedure.
[0015]
(5) Further, the product replenishment source apparatus according to the present invention receives at least one shipment result data for each month and each product from a plurality of replenishment destination warehouses linked to sales bases scattered in the region / region through the network. A product replenishment source device,
Demand forecast data for each warehouse, month, and product is created from the shipment result data for each product replenishment destination warehouse, each month, and each product, and all the products from the created demand forecast data to the required month are created. Based on the means for obtaining the first gross tonnage corresponding to the reduced total amount and the logistics arrangement plan data that has been contracted in advance, the tonnage that can be used every month is obtained, and these monthly tonnages are added to determine the logistics arrangement plan. The above-mentioned means for obtaining the second total tonnage is compared with the first total tonnage and the second total tonnage, and when all products are replenished with the contracted vehicle of the second total tonnage, advance stock is required A confirmation means for confirming whether or not the advance inventory is necessary, and the advance inventory quantity calculation for subtracting the second gross tonnage from the first gross tonnage to calculate the advance inventory quantity Means and It is a configuration.
[0016]
With this configuration, when the planned vehicle cannot be replenished, if the pre-stock quantity obtained in advance is secured as an inventory, the vehicle based on the logistics arrangement plan data that has been contracted in advance is used. The product can be replenished, and the distribution cost can be greatly reduced.
[0017]
The same can be realized in the product distribution method processed by the above procedure.
[0018]
(6) The product replenishment source apparatus according to the present invention uses the logistics cost by the combination of tonnage vehicles described in the above (2) and the pre-inventory quantity described in the above (5), Define the correlation with the inventory quantity, and based on the correlation between the defined logistics cost and the inventory quantity, the product inventory corresponding to the logistics cost budget from each replenishment destination warehouse terminal owned by each replenishment destination warehouse Guide information can be provided and used effectively in corporate strategy.
[0019]
(7) Further, the replenishment destination warehouse terminal according to the present invention is connected to a network to which a plurality of sales base terminals serving as sales bases are connected, and replenishes products in cooperation with a sales base having a plurality of sales base terminals. The replenishment destination warehouse terminal possessed by the replenishment destination warehouse terminal, and this replenishment destination warehouse terminal has the same configuration as the product replenishment source device described above, so that the replenishment destination warehouse terminal itself is the same as the product replenishment source device. There are various effects.
[0020]
DETAILED DESCRIPTION OF THE INVENTION
Hereinafter, embodiments of the present invention will be described with reference to the drawings.
[0021]
(First embodiment)
FIG. 1 is a system configuration diagram showing an embodiment of a product distribution system according to the present invention.
[0022]
First, before explaining a product distribution system according to the present invention, a general product distribution form example will be described.
[0023]
In this product distribution example, a plurality of types of products manufactured by the manufacturer 1 are once delivered and stored in one or more product replenishment source warehouses 2 nationwide. The product replenishment source warehouse 2 takes a form in which products are replenished sequentially to a plurality of replenishment destination warehouses (regional integrated warehouses) 3a, 3b,. ing. Each of the replenishment destination warehouses 3a, 3b,... Has a mechanism for replenishing products to the sequential sales bases according to the sales situation while cooperating with a large number of sales bases.
[0024]
Therefore, the product replenishment source warehouse 2 has a role as a head office warehouse, while each replenishment destination warehouses 3a, 3b,..., 3n control a large number of sales bases, and thus have a role as a regional control warehouse.
[0025]
A product distribution system as an embodiment of the present invention is provided with a network 11 such as the Internet or a dedicated line, and this network 11 receives and stores a plurality of types of products manufactured by a manufacturer 1, for example, a head office warehouse. A replenishment destination warehouse having the role of, for example, a regional integrated warehouse that replenishes products necessary for each sales base while cooperating with the replenishment source apparatus 12 such as a terminal or server and the sales base possessed by the replenishment source warehouse having the role of Replenishment destination warehouse terminals 13a, 13b, ..., 13n possessed by 3a, 3b, ..., 3n are connected. Each of the replenishment destination warehouse terminals 13a, 13b,..., 13n is connected to a plurality of sales base terminals 14a, 14b,..., 14n such as distribution centers, and receives replenishment of products from the replenishment destination warehouses 3a, 3b. It is like that.
[0026]
Therefore, the product replenishment source device 12 and each replenishment destination warehouse terminal 13a, 13b,..., 13n are all described below from the viewpoint of replenishing the replenishment destination warehouses 3a, 3b and sales bases with the required products. The various functions to be described are naturally applicable to the product replenishment source apparatus 12 and each replenishment destination warehouse terminal 13a, 13b,..., 13n, but for convenience of explanation, an example applied to the product replenishment source apparatus 12 will be described below.
[0027]
The product replenishment source device 12 is created for each replenishment destination warehouse terminal 13a, 13b,..., 13n from each month received from the replenishment destination warehouse terminals 13a, 13b,. In addition to the demand forecast data for each product for one year, a database 12A in which the monthly quantity and the required quantity for each product sent from each replenishment destination warehouse terminal 13a, 13b,. , Inventory change prediction data (inventory change prediction simulation result) is created by using the replenishment destination warehouse terminals 13a, 13b,..., 13n, monthly, product demand forecast data stored in the database 12A, and finally The product replenishment calculation processing unit 12B is configured by a CPU that determines a delivery vehicle having a low logistics cost.
[0028]
The product replenishment source apparatus 12 is equipped with various kinds of communication software necessary for mail communication and other data communication.
[0029]
Further, the product replenishment source device 12 is provided with a Web database as necessary so that the monthly shipment results and inventory quantity writing screens for each product can be viewed on each replenishment destination warehouse terminal 13a, 13b,. When the software to be provided is installed and the user at each replenishment destination warehouse terminal writes the shipment results and inventory quantity for each month in the required area on the screen, the CGI script is used to store the database 12A for each warehouse and each month. -A function for executing processing reflected in the shipment results and inventory quantity data for each product may be provided. Of course, it is also possible to perform a process of reflecting the shipment result data for each product for which the electronic mail has been received in the shipment record area and the inventory quantity area for each warehouse, each month, and each product in the database 12A.
[0030]
Functionally, the product replenishment calculation processing unit 12B functionally supplies the replenishment destination warehouse terminals 13a, 13b created from the shipment result data for each month and each product received from the replenishment destination warehouse terminals 13a, 13b,. ,..., 13n demand forecast data for each product, for example, for one year is stored in the database 12A. Therefore, regularly, for example, every month, every three months, every six months, or once a year at the end of March Pre-inventory quantity (carry-over inventory quantity) is set, and reduction forecast data based on demand forecast data for each warehouse, each month, and each product stored in the database 12A is subtracted from the advance inventory quantity, and when the corresponding product is missing Inventory transition forecasting means 121 for forecasting whether inventory will occur and the number of cracks for each product after the month when the shortage occurs, are added together, and each replenishment destination warehouse terminal 13a, 1 b,..., 13n are calculated by the replenishment plan processing means 122 and the replenishment plan processing means 122 for temporarily setting the size (ton) of the delivery vehicle requested for delivery by adding up the number of cracks of all products every month. For each warehouse, every month, every product, a tonnage car is temporarily set according to the total number of cracks, and considering the logistics arrangement cost for each ton car, The distribution cost calculation means 123 calculates the distribution cost of a combination of one or more tonn cars that matches the total quantity, and determines one or more tonn cars that will be the cheapest distribution cost from among these distribution costs. ing.
[0031]
Further, the distribution cost calculation means 123 is suitable for the total number of cracks of all products collected over a period of several months including the months after the month when the shortage occurs, taking into account the distribution arrangement cost of each ton car. It has the function of calculating the distribution cost of a combination of two or more tonn cars and determining one or more tonn cars that will be the cheapest distribution cost from among these distribution costs.
[0032]
Each replenishment destination warehouse terminal 13a, 13b,..., 13n is equipped with mail software and other various communication software necessary for data communication, and when the product replenishment source device 12 has a function of providing a Web screen, browser software is installed. In addition, necessary data can be written on a writing screen such as a stock quantity for each product.
[0033]
Next, the operation of the product distribution system as described above and the product distribution method according to the present invention will be described with reference to FIGS.
[0034]
First, the product replenishment calculation processing unit 12B of the product replenishment source device 12 receives the shipment result data for each month and each product transmitted from each replenishment destination warehouse terminal 13a, 13b, ..., 13n over the past several years. (S1), stored in the database 12A.
[0035]
This product replenishment calculation processing unit 12B creates demand forecast data shown in T1 of FIG. 3 for each replenishment destination warehouse 3a, 3b,. And stored in the database 12A. Further, since the product replenishment calculation processing unit 12A receives the inventory quantity data for each month from the replenishment destination warehouse terminals 13a, 13b,..., 13n, the replenishment destination warehouses 3a, 3b,. The inventory quantity data for each month and each product is stored in the database 12A.
[0036]
Therefore, the product replenishment calculation processing unit 12A creates the reduction prediction data for each warehouse, each month, and each product shown in T2 of FIG. 3 from the demand prediction data stored in the database 12A as described above (S2). ).
[0037]
After that, with respect to the forecasted reduction data for each warehouse, each month, and each product, the carry-over inventory quantity or the carry-over inventory forecast quantity of each product A, B, C at the end of March, for example, as initial information ΣA, ΣB, ΣC, and subtracting the forecast data for each month, each month, and each product from this initial information, and the inventory trend by warehouse, every month, and every product as shown in T3 of FIG. Prediction data (simulation result) is created (S3). The initial information may be set by the person in charge, or when the stock quantity for each warehouse, each month, and each product is stored in the database 12A, the stock quantity data is used. These steps S2 and S3 correspond to the inventory transition prediction means 121 or the inventory transition prediction step.
[0038]
It can be seen from T3 in FIG. 3 that the product A existing in the warehouse 13a is missing in December, the product B is missing, and the product C is missing in November.
[0039]
Next, the product replenishment calculation processing unit 12A executes the replenishment plan processing means 122. This product replenishment plan processing means 122 replenishes each month after the month when the shortage occurs as shown in T4 of FIG. 4 based on the inventory transition prediction data of T3 of FIG. 4 showing exactly the same contents as T3 of FIG. The number of cracks for each product in the same warehouse should be calculated (S4). Incidentally, regarding the product A, the crack quantity ΣA12 in December, the crack quantity ΣA in January, the crack quantity ΣA2 in February, and the crack quantity ΣA3 in March are obtained. Similarly, for product C, a crack quantity ΣC11 is obtained in November, a crack quantity ΣC12 in December, a crack quantity ΣC in January, a crack quantity ΣC2 in February, and a crack quantity ΣC3 in March.
[0040]
When the number of cracks to be replenished in each month is obtained as described above, the number of cracks in all products to be replenished every month is summed as shown in T5 of FIG. 4 (S5). For example, since the product C is out of stock in November, it is necessary to replenish the product C × ΣC11 by the beginning of November. Since the products A and C are missing in December, it is necessary to replenish the product A × ΣA12 + product C × (ΣC12−ΣC11) by the beginning of December. For the following months, add the number of cracks for all products in the same way.
[0041]
Furthermore, if the total value of all the products for each month is obtained, the load quantity for each product and the volume data for each product of each ton car are stored in advance in the database 12A. The tonnage vehicle for which delivery is requested is provisionally set using the sum of the values and the stored data (S6). For example, a 1-ton car is set in November, a 3-ton car in December, a 1-ton car in January, a 1-ton car in February, and a 1-ton car in March. These steps S4 to S6 correspond to a replenishment planning process step.
[0042]
Subsequently, the product replenishment calculation processing unit 12A executes the distribution cost calculation means 123. As shown in T6 of FIG. 4, the distribution cost calculation means 123 has a distribution arrangement cost for each ton car, for example, 1 ton car: (a1) yen, 2 ton car: (a2) yen, 3 ton car: ( a3) Yen, 4 ton cars: (a4) Yen is fixed, so for example, 1 ton car x 3, 1 ton car + 2 ton car, 3 t Or ((a1) × 2)> (a2), ((a1) × 3)> (a3), ((a1) + (a3))> (a4) Logistics costs for a combination of one or more tonn cars that match the provisionally set gross tonnage cars compiled over several months due to advance are calculated, and it is determined which ton car combination is advantageous in terms of logistics costs (S7). ) If the cheapest combination of tons is found, for example, until the beginning of November until December Determine the Umate ahead, to determine for example, 4-ton (S8). These S7 and S8 correspond to a physical distribution cost calculation step. In other words, rather than using a 1-ton car in November and a 3-ton car in December, it is possible to replenish the product at a low distribution cost if the shortage product is replenished collectively until the beginning of November. Can do.
[0043]
Therefore, according to the embodiment as described above, when there is a state in which a shortage occurs from the inventory transition prediction data, at least the beginning of the month in which the shortage occurs, the total number of cracks of all products is summed for each month and delivered. Considering the logistics arrangement cost of each ton car used for the delivery, the delivery vehicle is determined by the combination of each ton car with a low distribution cost, so there is no shortage and the lowest distribution cost from each ton car combination One or more delivery vehicles can be selected.
[0044]
(Second Embodiment)
FIG. 5 is a functional block diagram showing another embodiment of the product replenishment calculation processing unit 12B of the product replenishment source device 12 in the product distribution system according to the present invention.
[0045]
This embodiment is an example in which the logistics cost is reduced annually by making an annual replenishment plan for each replenishment destination warehouse using the basic idea of the first embodiment.
[0046]
Functionally, the product replenishment calculation processing unit 12B of the replenishment source device 12 in this product distribution system functionally predicts inventory transition from the demand forecast data for each warehouse, each month, and each product already stored in the database 12A. Data is created and product shortage quantity calculation means 131 for calculating the product shortage quantity for each warehouse, each month for each year, and each product from this inventory transition forecast data, and the month before each product shortage month are replenished Each month total product summing means 132 for summing all product shortage quantities for each replenishment timing month, and when the shortage occurrence months are consecutive, replenishment by advance for multiple months stored in the database 12A in advance. Based on possible condition data, the shortage of all products due to the advancement over several consecutive months can be collected and replenished with a large tonnage vehicle. Replenishment plan processing means 133 for judging whether or not, and when this means 133 judges that advance processing is possible, delivery that determines a delivery vehicle having a large tonnage with respect to all product shortage quantities in a plurality of months in which continuous shortages occur Vehicle decision means 134.
[0047]
Next, the operation of the product distribution system as described above and the product distribution method according to the present invention will be described with reference to FIGS.
[0048]
First, from the replenishment destination warehouse terminals 13a, 13b,... Possessed by each replenishment destination warehouse 3a, 3b,... Has been notified (notification step). Demand forecast data for each warehouse, each month, and each product is created from the notified shipment result data for each replenishment destination warehouse, each month, and each product, and stored in the database 12a (demand forecast data creating step).
[0049]
Therefore, the product replenishment calculation processing unit 12B determines each warehouse for each warehouse based on the forecasted reduction data from the above-mentioned required month and the prior inventory quantity before the required month created from the demand forecast data for each warehouse, each month, and each product. Inventory change prediction data for each month / product is created and stored in the database 12A (S11: inventory change prediction data creation step).
[0050]
Subsequently, the product replenishment calculation processing unit 12B executes the product shortage quantity calculation means 131 using the inventory transition prediction data stored in the database 12A. This product shortage quantity calculation means 131 calculates the product shortage quantity for each month and for each product over the year for each warehouse as shown in T7 of FIG. 7 from the inventory transition prediction data (S12). By the way, T7 in FIG. 7 is short for product A in June of 2002, 200 in July, 400 in July, 400 in November, 200 in March, and 300 in April. Similarly, the shortage number is similarly calculated for the product C. However, if the number of products shortage in each month is assumed to be replenished, for example, 400 shortages in June, it means 200 shortages in July. These steps S11 and S12 correspond to a product shortage quantity calculation step.
[0051]
Further, the monthly total product adding means 132 is executed. The monthly total product adding means 132 sets at least the previous month as the product shortage replenishment timing as described above (see T8 in FIG. 8). In this example, when each month is adjusted according to the timing of the replenishment timing, it becomes T9 in FIG. Therefore, when product A and product C are summed for each month of the replenishment timing, the product shortage quantity as shown in T10 is obtained (S13: total product summation step).
[0052]
Here, after summing up the products A and C after each month, the replenishment plan processing means 133 is executed. Originally, if the tonnage car is estimated from the data such as the total number of each tonnage car and each product stored in the database 12A with respect to the sum of each month, 4 ton car in May and 4 in June throughout the year. Ton car, 4 ton car in July, 4 ton car in October, 8 ton car in November, 4 ton car in February, 8 ton car in March, need delivery 7 times a year Become. In this state, there is a sufficient margin in the case of a 4-ton vehicle in May, and the same is true in June. In July, it will be almost full of 4 tons.
[0053]
Therefore, in the system of the present invention, it is determined whether or not a replenishable condition flag for a plurality of months (for example, three months) is set in the database 12A from the viewpoint of reducing distribution costs (S14), and the flag is set. In this case, the combined value of the shortage is calculated ahead of June and July on May flights (S15).
[0054]
A large tonnage car can be obtained by using any one or more data such as the number of loads, weight conversion value or volume of each ton car in the database 12A for the total value of the shortage quantity for a plurality of months. It is determined whether it can be delivered by one vehicle, and based on the determination result, for example, one 8-ton vehicle is determined as shown at T10 in FIG. 8 (S16: delivery vehicle determination means, delivery vehicle determination step).
[0055]
Therefore, by executing the processing as described above, the shortage of products can be supplemented with, for example, three 8-ton vehicles throughout the year, and the distribution cost can be greatly reduced.
[0056]
In the above embodiment, the delivery vehicle is determined by giving the annual product shortage quantity. However, since the subsequent product sales quantity also changes, the actual annual product shortage is given once every 6 months. Determine the delivery vehicle.
[0057]
5 to 8, in the case of continuous shortage months, all products are added together and delivery vehicles are determined. For example, as shown in T11 of FIG. 7 and FIG. If it is not full, the next product can be loaded and loaded until it is full.
[0058]
Specifically, the product replenishment calculation processing unit 12B creates inventory transition prediction data from demand prediction data for each warehouse, each month, and each product, and is stored in the database 12A (S21).
[0059]
Therefore, the product replenishment calculation processing unit 12B executes the product shortage quantity calculation means 131 using the inventory transition prediction data stored in the database 12A. The product shortage quantity calculation means 131 predicts the product shortage quantity for each month and product over the year for each warehouse as shown in T7 of FIG. 7 from the inventory transition prediction data (S22). Incidentally, as for T7 in FIG. 8, with respect to the product A, there will be a shortage of 400 in June 2002, 200 in July, 400 in November, 200 in March, and 300 in April. Similarly, the shortage number is similarly calculated for the product C. These steps S11 and S12 correspond to a product shortage quantity calculation step.
[0060]
Thereafter, the product replenishment calculation processing unit 12B executes single product summation means. This single product summing means is set to at least the previous month as the replenishment timing of the product shortage as described above, and after summing up the single product over consecutive shortage months occurring in advance (S23), the tonnage car that is as large as possible The delivery vehicle is determined (S24).
[0061]
Then, it is determined whether or not this delivery vehicle is full with a single item (S25). If it is not full, it is determined whether or not there is a next insufficient product (S26), and the process proceeds to step S23. Execute the process.
[0062]
In step S25, if it becomes full, the process proceeds to step S24 for the same product, the delivery vehicle is determined based on the remaining shortage number, and the same process is repeated (S27).
[0063]
Therefore, according to the embodiment as described above, since the determined delivery vehicle is loaded for each same product, an efficient loading operation can be performed, and the distribution cost can be reduced.
[0064]
(Third embodiment)
This embodiment is an example in which the inventory quantity is determined in advance based on a logistics arrangement plan created in advance and reduction prediction data for all products by replenishment destination warehouse.
[0065]
First, since the overall configuration of the product distribution system according to the present invention is the same as that shown in FIGS. 1 and 2, the description will be given with reference to FIGS. 13a, 13b, ..., 13n) will be described with reference to FIG.
[0066]
The product replenishment source device 12 is composed of a database 12A and a product replenishment calculation processing unit 12B.
[0067]
As described above, the database 12A stores reduction forecast data for each warehouse, each month, and each product, quantity arrangement plan data planned in advance from a logistics cost budget, volume and weight data of each product, and other necessary data. Yes.
[0068]
The product replenishment calculation processing unit 12B functionally includes a reduction total amount calculation means 141 for calculating a total reduction amount of all products in a required month ahead based on reduction prediction data for each warehouse and each product stored in the database 12A. Similarly, the logistics order plan total amount calculation means 142 for calculating the total tonnage of deliverable deliverable by the contracted vehicle based on the quantity arrangement plan data stored in the database 12A, and the total reduction amount of all products obtained by both the calculation means 141 and 142 And an advance inventory quantity calculating means 144 for obtaining an advance inventory quantity when the advance inventory is confirmed to be necessary, and an advance inventory quantity calculating means 144 for obtaining an advance inventory quantity when the advance inventory is required. It is configured.
[0069]
Next, the operation of the product distribution system as described above and the product distribution method according to the present invention will be described with reference to FIGS.
[0070]
First, since the shipment results data for each warehouse, month, and product over the past several years is accumulated in the database 12A, demand forecast data for each warehouse, each month, and each product is created from this shipment result data. Are stored in the database 12A. Therefore, as described above, annual decrease prediction data for each warehouse and each product as shown in FIG. 12 can be created from the demand prediction data (S31).
[0071]
Therefore, the reduction total amount calculation means 141 in the product replenishment calculation processing unit 12B calculates the required amount of each product A, B, C from the annual reduction prediction data for each warehouse / product, for example, the total amount ΣAA, ΣBB, ΣCC in March. Are sequentially obtained (S32), and the total tonnage ΣAA, ΣBB, ΣCC of each product is converted from the volume data and weight data of each product stored in the database 12A (S33, S34). Then, the total tonnages ΣAA, ΣBB, and ΣCC of these products are added to calculate the total tonnage ΣYY of all products (see S35 and T13). These steps S32 to S35 correspond to a reduction total amount calculation step.
[0072]
On the other hand, as described above, the logistics arrangement plan data is created and stored in the database 12A based on a contract with a specific logistics department company in advance based on the logistics cost budget of the company. In other words, the replenishment source warehouse 2 is, for example, 1 ton car: first business day of the month, 2 ton car: first business day every 2 months, 3 ton car: first business day every 3 months, 4 ton car: once a half year A delivery contract has been signed with a specific logistics department company. Needless to say, the specific logistics department company is not limited to one.
[0073]
Therefore, the distribution order plan total amount calculation means 142 in the product replenishment calculation processing unit 12B allocates tonnage cars every month based on the distribution order plan data stored in the database 12A and calculates the planned distribution allowable amount for each month. Then, as shown in T14 of FIG. 13, for example, the total delivery tonnage ΣXX that can be delivered by the contracted vehicle for 5 months is calculated (S37). These steps S36 and S37 correspond to the distribution order plan total amount calculation step.
[0074]
Subsequently, the pre-stock necessity check means 143 in the product replenishment calculation processing unit 12B uses the total product tonnage ΣYY obtained by the reduction total quantity calculation means 141 and the delivery total tonnage ΣXX obtained by the logistics arrangement plan total quantity calculation means 142, and uses the advance inventory. Check if replenishment is necessary. That is, using all product gross tonnage ΣYY and delivery gross tonnage ΣXX, it is determined whether or not ΣXX−ΣYY> 0 (see S38, T15 in FIG. 12). If ΣXX−ΣYY> 0, replenishment with contracted flights is sufficient. On the other hand, if ΣXX−ΣYY <0, it is confirmed that the total tonnage ΣYY of all products cannot be replenished only by contracted flights. This step S38 corresponds to a preliminary inventory necessity confirmation step.
[0075]
Further, the preliminary inventory quantity calculation means 144 in the product replenishment calculation processing unit 12B is executed. When it is confirmed in step S38 that the advance inventory is necessary, the advance inventory quantity calculation unit 144 calculates the advance inventory by calculating (ΣYY−ΣXX) as shown in T16 of FIG. 12, and determines the advance inventory. (S39).
[0076]
Note that if the advance inventory quantity is fixed, it cannot be replenished by contracted flights, so it is necessary to increase the inventory in advance.
[0077]
Therefore, according to the embodiment as described above, replenishment is performed in accordance with a logistics arrangement plan contracted in advance, so that the product can be efficiently replenished within the budget of the logistics cost. Also, if the pre-stock quantity has been confirmed at a fairly fast time, it can be replenished in advance by the pre-stock amount by some means, or it can be prepared as stock in advance at the beginning of the year, If there is a vacancy when replenishing to the replenishment destination warehouse, the empty vehicle may be fully loaded, dropped to the corresponding replenishment destination warehouse, and then delivered to another replenishment destination warehouse.
[0078]
(Fourth embodiment)
In this embodiment, the “distribution cost plan when the advance inventory quantity is set” described in the first embodiment and the “pre-inventory quantity when the distribution cost budget is set” described in the third embodiment are used. ”To define the correlation between pre-inventory quantities and logistics costs, and based on this definition, determine how to have inventory as a corporate strategy and optimize logistics costs and reflect them in corporate activities .
[0079]
First, since the overall configuration of the product distribution system according to this embodiment is the same as that shown in FIGS. 1 and 2, it will be transferred to the description of FIGS. (Including warehouse terminals 13a, 13b,..., 13n) will be described with reference to FIGS.
[0080]
The product replenishment source device 12 is composed of a database 12A and a product replenishment calculation processing unit 12B composed of a CPU.
[0081]
The database 12A stores necessary data and processing result data among the process data according to the first embodiment, and necessary data and process among the process data according to the second embodiment. Result data is stored.
[0082]
In the first embodiment, the stock is replenished in advance so as not to cause a shortage due to the number of products broken by product / month, and the advance inventory is maintained. Plan cheap logistics costs.
[0083]
On the other hand, in the second embodiment, as in the first embodiment, the advance inventory is obtained by using the total tonnage of replenishment obtained from the reduced forecast data and the total tonnage that can be delivered from the contracted logistics arrangement plan. The prior stock quantity for maintaining the absence of missing parts in the first embodiment and the advance inventory determination for maintaining no missing parts in the second embodiment are in the same relationship with each other.
[0084]
Therefore, the product replenishment calculation processing unit 12B includes an inventory-distribution cost defining unit 151 that defines a correlation from the inventory quantity handled from the first and second embodiments and the distribution cost used for the commodity replenishment, Based on the correlation between the inventory quantity and the distribution cost, the output means 152 that outputs and displays the correlation between the inventory quantity and the distribution cost defined by the inventory-distribution cost definition means 151, and the replenishment destination warehouse terminals 13a, 13b, .., 13n and information providing means 153 for providing stock guideline information corresponding to the distribution cost budget.
[0085]
FIG. 14 is a diagram schematically showing the correlation between the above inventory quantity and the distribution cost.
[0086]
Therefore, according to the embodiment as described above, how much logistics cost is required if stock is held, how much stock is possible if logistics cost budget is determined, and at the end of the period. When the logistics cost budget is surplus, it is possible to quickly make a policy such as how much inventory can be secured with the surplus budget, and it is possible to effectively utilize it in one of the corporate activities and the corporate strategy.
[0087]
Note that the present invention is not limited to the above-described embodiment, and various modifications can be made without departing from the scope of the invention.
[0088]
In addition, the embodiments can be implemented in combination as much as possible, and in that case, the effect of the combination can be obtained. Further, each of the above embodiments includes various higher-level and lower-level inventions, and various inventions can be extracted by appropriately combining a plurality of disclosed constituent elements. For example, when an invention is extracted because some constituent elements can be omitted from all the constituent elements described in the means for solving the problem, the omitted part is used when the extracted invention is implemented. Is appropriately supplemented by well-known conventional techniques.
[0089]
【The invention's effect】
As described above, according to the present invention, a product distribution system, a product replenishment source device, a product distribution method, and a replenishment destination warehouse terminal that can reduce distribution costs and can ensure product inventory without causing a shortage. Can provide.
[Brief description of the drawings]
FIG. 1 is a system configuration diagram showing an embodiment of a product distribution system according to the present invention.
FIG. 2 is a flowchart for explaining the operation of the system shown in FIG. 1 and a product distribution method according to the present invention.
FIG. 3 is a diagram for explaining reduction forecast data, inventory transition prediction data, and the like created from sales performance data obtained from each replenishment destination warehouse terminal.
FIG. 4 is an explanatory diagram for calculating a product breakage quantity from the inventory transition prediction data of FIG. 3 and creating a combination of delivery vehicles having the lowest logistics cost while considering the logistics arrangement cost.
FIG. 5 is a functional block diagram for explaining another embodiment of a product replenishment source apparatus constituting the product distribution system according to the present invention.
6 is a flowchart for explaining the operation of the product distribution system when the product replenishment source apparatus shown in FIG. 5 is used.
FIG. 7 is a diagram for creating a replenishment plan from annual product shortages.
FIG. 8 is also a diagram for creating a replenishment plan from annual product shortages.
FIG. 9 is a diagram illustrating an operation for loading each single product until the vehicle is fully loaded.
FIG. 10 is a functional block diagram for explaining still another embodiment of the product replenishment source apparatus constituting the product distribution system according to the present invention.
FIG. 11 is a flowchart for explaining the operation of the product distribution system when the product replenishment source apparatus shown in FIG. 10 is used.
FIG. 12 is an explanatory diagram for obtaining a pre-inventory quantity when a total amount of reduction from the reduction prediction data is delivered by a vehicle based on a logistics arrangement plan.
FIG. 13 is a functional block diagram for explaining still another embodiment of the product replenishment source apparatus constituting the product distribution system according to the present invention.
FIG. 14 is an explanatory diagram for defining a correlation between a distribution cost and an inventory quantity.
[Explanation of symbols]
1 ... Manufacturer
2. Product replenishment source warehouse
3a, 3b, ... Replenishment destination warehouse
11 ... Network
12 ... Replenishment source warehouse
12A ... Database
12B ... Product replenishment calculation processing section
13a, 13b, ... Replenishment destination warehouse terminal
14a, 14b, ... sales base terminal
121 ... Inventory transition prediction means
122 ... Replenishment plan processing means
123 ... Logistics cost calculation means
131: Product shortage quantity calculation means
132 ... Monthly product total means
133: Replenishment plan processing means
134 is phase vehicle planning means
141: Reduction total amount calculation means
142 ... Logistics arrangement plan total amount calculation means
143 ... Means for checking whether or not prior stock is needed
144: Prior inventory quantity calculation means
151 ... Inventory-logistics cost definition means
153 ... Inventory guide information providing means

Claims (9)

A product that is connected to at least one product replenishment source device via a network and replenishes products from a replenishment source warehouse that owns the product replenishment source device to a plurality of product replenishment destination warehouses that are linked to sales bases scattered in regions and regions. In the distribution system,
A replenishment destination warehouse terminal possessed by each of the product replenishment destination warehouses for notifying monthly / product shipment / sales performance data;
Warehouse from the ullage prediction quantity and the required month before the pre-stock quantity from the desired month of the replenishment destination warehouse each terminal that is created from the past of shipments data for each monthly and products received from each of these replenishment destination warehouse terminal Create inventory transition prediction data for each month, each month, and each product, and use the generated inventory transition prediction data to determine the number of cracks for each product that should be replenished in the same warehouse in each month after the month when the shortage occurs. Calculate and calculate the total product cracking quantity for each warehouse and each month from the cracking quantity for each product, the total number of cracks for each product, the number of loads for each product of each tonnage car, the volume for each product. Temporarily set tonn cars to be delivered from the data, and based on the logistics arrangement cost of each ton car that has been provisionally set, one or more ton cars corresponding to loading the total number of broken products over multiple months due to advance Logistics cost by combination Product distribution system computes, and characterized in that a said product replenishment source apparatus for determining one or more ton trucks to be the cheapest distribution costs from these distribution costs. At least one product replenishment source device that receives sales performance data for each month and each product from a plurality of replenishment destination warehouses that are linked to sales bases scattered in regions and regions through a network,
Reduction forecast data from the required month created from demand forecast data for each warehouse, month, and product created from the sales performance data for each replenishment warehouse, each month, and each product Inventory transition prediction means for creating inventory transition prediction data for each warehouse, each month, and each product from the preliminary inventory quantity,
Calculate the number of cracks for each warehouse, each month, and each product obtained from the inventory transition prediction data created by this inventory transition prediction means, and calculate the number of cracks for each month from the number of cracks for each warehouse, each month, and each product. Replenishment planning processing means for calculating the total number of cracks of all products,
A tonnage truck that requests delivery based on the total number of cracks for each warehouse, each month, and every product calculated by this replenishment plan processing means, the number of loads for each tonnage car for each product, and the volume data for each product. temporarily set, taking into account the distribution arrangements cost of each ton trucks that are the temporary setting, a combination of one or more ton trucks commensurate with the temporarily set ton trucks are summarized several months by each month or every ahead A product replenishment source device comprising: a logistics cost calculating means for calculating logistics costs by means of determining the one or more tonnage vehicles that are the cheapest logistics costs from among the logistics costs. Product distribution in which at least one product replenishment source device is connected through the network, and the product is replenished from the replenishment source warehouse that owns the product replenishment source device to multiple replenishment destination warehouses that are linked to the sales bases scattered in the region / region. In the method
Notifying the product replenishment source warehouse of monthly / product shipment result data from the replenishment destination warehouse terminal possessed by each replenishment destination warehouse;
Creating demand forecast data for each warehouse, each month, and each product from the shipment result data for each replenishment destination warehouse, each month, and each product notified by this step;
Create inventory trend forecast data that creates inventory trend forecast data for each warehouse, each month, and each product from the forecast forecast data from the required month created from the demand forecast data in this step and the previous inventory quantity before the relevant month Steps,
Calculate the number of cracks for each warehouse, each month, and each product obtained from the inventory transition forecast data created in this step, and calculate the total number of products for each month from the number of cracks for each warehouse, each month, and each product. Replenishment planning processing step for calculating the total number of cracks;
Temporarily set tonnage trucks to request delivery based on the total number of cracks for each warehouse, each month, and all products calculated in this step, the number of each tonnage car to be loaded for each product, and the volume data for each product. Steps,
While considering the logistics arrangement cost for each tonnage car to be determined in advance, calculate the logistics cost for the combination of one or more tonnage cars that match the provisionally set ton car over the past several months, and A product logistics method comprising: a logistics cost calculation step for determining one or more tonnage vehicles that are the cheapest logistics cost among them. At least one product replenishment source device that receives shipment results data for each month and each product from a plurality of replenishment destination warehouses that are linked to sales bases scattered in regions and regions through a network,
Each replenishment destination warehouse, every month, every product The shipment history data for each product is stored in advance.・ Product shortage quantity calculation means to predict product shortage quantity for each product,
With respect to the product shortage quantity predicted by this calculation means for each replenishment destination warehouse, each month, and each product, the month immediately before the shortage month is set as the replenishment timing period, and the total product shortage quantity every month. Each month total product summing means,
When the shortage occurrence month is continuous, a replenishment plan processing means for determining whether or not the shortage of all products due to the advancement over a plurality of consecutive months can be replenished by a large tonnage vehicle;
A product replenishment source apparatus comprising: a delivery vehicle determining unit that determines a large tonnage vehicle that is determined to be replenishable when it is determined by the replenishment plan processing unit. Product distribution in which at least one product replenishment source device is connected through the network, and the product is replenished from the replenishment source warehouse that owns the product replenishment source device to multiple replenishment destination warehouses that are linked to the sales bases scattered in the region / region. In the method
Notifying the product replenishment source warehouse of monthly / product shipment result data from the replenishment destination warehouse terminal possessed by each replenishment destination warehouse;
Creating demand forecast data for each warehouse, each month, and each product from the shipment result data for each replenishment destination warehouse, each month, and each product notified by this step;
Create inventory trend forecast data that creates inventory trend forecast data for each warehouse, each month, and each product from the forecast forecast data from the required month created from the demand forecast data in this step and the previous inventory quantity before the relevant month Steps,
A product shortage quantity calculation step for calculating a product shortage quantity for each month / product for each product replenishment destination warehouse from the inventory transition prediction data created in this step;
With respect to the product shortage quantity for each product replenishment destination warehouse, each month, and each product calculated in this step, the month immediately before the shortage month is set as the replenishment timing, and the total product shortage quantity every month. Each month to add up all products,
When the shortage occurrence month is continuous, a replenishment plan processing step of determining whether or not a large tonnage vehicle can replenish the shortage of all products due to the advancement over a plurality of consecutive months, and
A product distribution method comprising: a delivery vehicle determination step for determining a large tonnage vehicle determined to be replenishable when it is determined that replenishment is possible in this step. At least one product replenishment source device that receives shipment results data for each month and each product from a plurality of replenishment destination warehouses that are linked to sales bases scattered in regions and regions through a network,
Demand forecast data for each warehouse, month, and product is created from the shipment result data for each product replenishment destination warehouse, each month, and each product, and all the products from the created demand forecast data to the required month are created. Means for obtaining a first gross tonnage corresponding to the total amount reduced;
A means for obtaining a tonnage that can be used for each month based on the logistics arrangement plan data that has been contracted in advance, adding each of the monthly tonnages, and obtaining a second total tonnage in the logistics arrangement plan;
A confirmation means for comparing the first gross tonnage with the second gross tonnage and confirming whether or not advance inventory is necessary when all products are replenished with the contracted vehicle of the second gross tonnage;
A pre-inventory quantity calculating means for subtracting the second total tonnage from the first total tonnage and calculating a pre-inventory quantity when the confirmation means confirms that the pre-inventory is necessary. Product replenishment source device. Product distribution in which at least one product replenishment source device is connected through the network, and the product is replenished from the replenishment source warehouse that owns the product replenishment source device to multiple replenishment destination warehouses that are linked to the sales bases scattered in the region / region. In the method
Notifying the product replenishment source warehouse of monthly / product shipment result data from the replenishment destination warehouse terminal possessed by each replenishment destination warehouse;
Creating demand forecast data for each warehouse, each month, and each product from the shipment result data for each replenishment destination warehouse, each month, and each product notified by this step;
A step of predicting a reduction in every warehouse, every month, every product from the demand forecast data created by this step;
Obtaining a first gross tonnage corresponding to the total amount of reduction of all products from the forecasted reduction data for each warehouse, month, and product to the required month;
Obtaining a tonnage that can be used in each month based on pre-contracted logistics arrangement plan data, adding each month's tonnage over the required months, and obtaining a second total tonnage in the logistics arrangement plan;
A step of comparing the first gross tonnage with the second gross tonnage and confirming whether or not advance stock is required when all products are replenished with the contracted vehicle of the second gross tonnage;
A product distribution method comprising: a preliminary inventory quantity calculating step of calculating a preliminary inventory quantity by subtracting the second gross tonnage from the first gross tonnage when preliminary confirmation is required in the confirmation step. At least one product replenishment source device that receives shipment results data for each month and each product from a plurality of replenishment destination warehouses that are linked to sales bases scattered in regions and regions through a network,
Using the physical distribution cost calculated by the physical distribution cost calculating means according to claim 2 and the preliminary inventory quantity calculated by the preliminary inventory quantity calculating means according to claim 6 , the physical distribution A means for defining a correlation between the cost and the inventory quantity;
Means for providing standard information on product inventory according to the distribution cost budget from each replenishment destination warehouse terminal possessed by each replenishment destination warehouse based on the correlation between the distribution cost defined by this means and the inventory quantity; A product replenishment source device characterized by comprising: A replenishment destination warehouse terminal owned by a replenishment destination warehouse that replenishes products in cooperation with a sales base that owns a plurality of sales base terminals, connected to a network to which a plurality of sales base terminals serving as sales bases are connected,
A replenishment destination warehouse terminal comprising a configuration similar to that of the product replenishment source device according to any one of claim 2, claim 4, claim 6, and claim 8 .

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