JP7227726B2 - Operation management device, operation management method, and operation management program - Google Patents

Description

The present invention relates to an operation management device, an operation management method, and an operation management program.

Conventionally, there exists patent document 1 as a system which performs operation management. In Patent Document 1, when creating an operation transportation schedule, the position information of the distribution center and the collection and delivery destination base is input, and the amount of cargo to be transported, the collection and delivery destination, and the number of transportation vehicles at the collection and delivery destination. Enter cargo information including time constraints, which is the deadline for arrival time, enter transport vehicle information including the upper limit of the load capacity of the transport vehicle, and create a transport schedule consisting of multiple vehicle patrol bases, from the distribution center to the same base. It is determined whether or not a single vehicle can simultaneously transport the cargo to be delivered and the cargo to be collected to the distribution center, and a schedule for the transportation vehicles is created using each of the above information under the condition that the delivery time constraint is observed.

JP-A-2004-1975

However, Patent Literature 1 does not describe anything about dividing the order data into collection flights, relay flights, and delivery flights.

The present invention has been made in view of the above, and aims to reduce the work load of the person in charge of dispatch by automatically creating operation instruction data by dividing the order data into cargo collection flights, relay flights, and delivery flights. An object of the present invention is to provide an operation management device, an operation management method, and an operation management program capable of.

In order to solve the above-described problems and achieve the object, there is provided an operation management device comprising a control unit and a storage unit, wherein the control unit controls departure place, pickup time, arrival time, delivery time, product, and the product. an order data input means for entering order data including the quantity of , an operation instruction data creation means for creating operation instruction data divided into pickup flights, relay flights, and delivery flights based on the order data and master settings; characterized by comprising

Further, according to a preferred aspect of the present invention, the master includes a vehicle master in which data of vehicle number code, date, load capacity, and allocation priority are associated and registered; A vehicle having a vehicle code with a high priority and a large load capacity may be selected by referring to the master, and the selected vehicle may be assigned to the operation instruction data.

Further, according to a preferred aspect of the present invention, the master includes an actual vehicle distance master in which data on distances between departure and arrival points and required times are registered, data on departure and arrival points, cargo handling times, neighboring company warehouses, and data on a plurality of departure and arrival areas. The operation instruction data creating means refers to the actual vehicle distance master to obtain the required time, and refers to the departure and arrival point master to obtain the cargo handling time. Alternatively, the operation schedule of the operation instruction data may be determined in consideration of the time between operations.

Further, according to a preferred aspect of the present invention, the master includes a merchandise master in which merchandise and vehicle allocation conversion rate data, which is the weight per unit of the merchandise, are associated and registered, and the operation instruction data creating means is Alternatively, referring to the product master, the sum of the vehicle allocation conversion amount obtained by multiplying the vehicle allocation conversion rate of the product of the order data by the quantity may be set to be within the load capacity of the selected vehicle.

Further, in order to solve the above-described problems and achieve the object, the present invention provides an operation management method to be executed by an information processing device having a control unit and a storage unit, comprising: An order data input step of inputting order data including place of departure, pickup time, arrival time, delivery time, product, and quantity of the product; and an operation instruction data creation step of creating operation instruction data divided into two.

Further, in order to solve the above-described problems and achieve the object, the present invention provides an operation management program to be executed by an information processing apparatus having a control unit and a storage unit, wherein the control unit , pick-up time, arrival time, delivery time, product, and order data entry step of inputting order data including the quantity of the product; and an operation instruction data creating process for creating the operation instruction data.

Advantageous Effects of Invention According to the present invention, by automatically creating operation instruction data in which operations are divided into collection flights, relay flights, and delivery flights, it is possible to reduce the workload of the person in charge of dispatching vehicles.

FIG. 1 is a block diagram showing an example of the configuration of an operation management device. FIG. 2 is a diagram showing a configuration example of a vehicle master. FIG. 3 is a diagram showing a configuration example of an actual vehicle distance master. FIG. 4 is a diagram showing a configuration example of the departure/arrival master. FIG. 5 is a diagram showing a configuration example of a product master. FIG. 6 is a diagram showing a configuration example of a sales apportionment pattern master. FIG. 7 is a diagram showing a schematic processing flow of creating operation instruction data in this embodiment. FIG. 8 is a diagram showing the data samples of FIG. FIG. 9 is a diagram showing a detailed processing flow for assigning the parent operation instruction number of the operation instruction data. FIG. 10 is a diagram showing sample data of FIG.

An embodiment of the present invention will be described in detail based on the drawings. It should be noted that the present invention is not limited by this embodiment.

[1. overview]
In the transportation industry, there are many companies that employ an operation method called "mixed loading" in which packages requested by multiple business partners are transported in the same vehicle (one delivery). In the case of "consolidated loading," packages from nearby departure and arrival points are transported together in the same vehicle, and it is necessary to determine which departure and arrival points should be consolidated.

In the past, when consolidation was carried out, all of the decisions regarding operation were made manually based on the experience and perception of the person in charge of dispatching vehicles. For this reason, the work of dividing a huge amount of order data into operation units has created a workload for dispatch staff, and has been one of the causes of overwork, which has become a problem in the industry. In addition, there is a risk that the quality of delivery may deteriorate depending on the person in charge of dispatching.

In this embodiment, based on order data and master settings, operation instruction data is automatically created for collection flights, relay flights, and delivery flights. Improve quality.

[2. composition]
An example of the configuration of an operation management device 100 according to this embodiment will be described with reference to FIG. FIG. 1 is a block diagram showing an example of the configuration of the operation management device 100. As shown in FIG.

The operation management device 100 is a commercially available desktop personal computer. In addition, the operation management device 100 is not limited to a stationary information processing device such as a desktop personal computer, and may be a portable type such as a commercially available notebook personal computer, PDA (Personal Digital Assistants), a smartphone, or a tablet personal computer. It may be an information processing device.

The operation management device 100 includes a control unit 102 , a communication interface unit 104 , a storage unit 106 and an input/output interface unit 108 . Each unit included in the operation management device 100 is communicably connected via an arbitrary communication path.

The communication interface unit 104 communicably connects the operation management device 100 to the network 300 via a communication device such as a router and a wired or wireless communication line such as a dedicated line. The communication interface unit 104 has a function of communicating data with another device via a communication line. Here, the network 300 has a function of connecting the operation management device 100 and the server 200 so that they can communicate with each other, and is, for example, the Internet or a LAN (Local Area Network).

An input device 112 and an output device 114 are connected to the input/output interface section 108 . The output device 114 can be a monitor (including a home television), a speaker, or a printer. The input device 112 can be a keyboard, a mouse, a microphone, or a monitor that realizes a pointing device function in cooperation with a mouse. In addition, below, the output device 114 may be described as the monitor 114. FIG. Also, displaying on the monitor 114 and performing an operation with the input device 112 may be referred to as "user operation via UI".

The storage unit 106 stores various databases, tables, files, and the like. The storage unit 106 stores a computer program for performing various processes by giving commands to a CPU (Central Processing Unit) in cooperation with an OS (Operating System). As the storage unit 106, for example, memory devices such as RAM (Random Access Memory) and ROM (Read Only Memory), fixed disk devices such as hard disks, flexible disks, and optical disks can be used. The storage unit 106 includes a vehicle master 106a, an actual vehicle distance master 106b, an origin and destination master 106c, a product master 106d, a sales proportional division pattern master 106e, an order data file 106f, and an operation instruction data file 106g. . FIG. 2 is a diagram showing a configuration example of the vehicle master 106a. FIG. 3 is a diagram showing a configuration example of the actual vehicle distance master 106b. FIG. 4 is a diagram showing a configuration example of the origin/destination master 106c. FIG. 5 is a diagram showing a configuration example of the product master 106d. FIG. 6 is a diagram showing a configuration example of the sales apportionment pattern master 106e.

The vehicle master 106a is a master in which an allocation priority is set for each vehicle, since the costs incurred in operation vary depending on own vehicle or chartered vehicle, load capacity, vehicle age, and the like. Since the profit margins of own vehicles and chartered vehicles differ depending on the company, it is possible to reflect the results of management decisions in allocation priority. In addition, by setting allocation priority for each vehicle and date, it is possible to equalize the number of times the vehicle is used, or to exclude vehicles from being allocated on vehicle inspection days and the like.

As shown in FIG. 2, the vehicle master 106a includes a vehicle number code, date, load capacity, vehicle type (own vehicle or chartered vehicle), and allocation priority (“1” has a higher priority than “2”). can be composed of a table or the like in which the data of is associated and registered.

The vehicle master 106a example shown in FIG. 2 is for a Tokai district warehouse. The first line is the car number code "0001A", the date is "4/4", the load is "1.0t", the vehicle category is "own car", the allocation priority is "1", and the second line is the car number code. "0001B", date "4/4", load "0.5t", classification "chartered vehicle", allocation priority "2", third line: vehicle number code "0001C", date "4/ 4", load capacity "0.3 t", own vehicle classification "own vehicle", and allocation priority "1". In addition, the fourth line is the vehicle number code "0001A", the date "4/5", the load amount "1.0t", the self-owned classification "own vehicle", the allocation priority "2", and the fifth line is the vehicle number code "0001B", date "4/5", load capacity "0.5t", self-owned classification "chartered vehicle", allocation priority "2", the sixth line is the vehicle number code "0001C" 4/5", load capacity "0.3t", own vehicle category "own vehicle", and allocation priority "1".

The actual vehicle distance master 106b is for setting the distance between departure and arrival points and the required time, and taking them into consideration when numbering the parent operation instruction number. As shown in FIG. 3, the actual vehicle distance master 106b can be composed of a table or the like in which the data of origin, destination, actual vehicle distance, and required time are associated and registered.

In the example of the actual vehicle distance master 106b shown in FIG. , departure place "A company Nagoya, destination "A company Toyota", actual vehicle distance "25km", required time "1.0H", the third line is departure place "A company Toyota", destination "B company Ichinomiya", actual vehicle The distance is "10km", the required time is "0.5H", and the fourth line shows the origin "B company Nagoya", the destination "Tokai district warehouse", the actual vehicle distance "20km", and the required time "1.0H". .

The departure/arrival point master 106c is a master in which departure/arrival areas are registered in order to number the same parent operation instruction number for operations in the same direction when numbering the parent operation instruction number. If the number of trains operating within the same warehouse area is large, set multiple layers for the departure and arrival areas. Departure/arrival plane 1 is expressway IC unit, Departure/arrival plane 2 is municipal unit, Departure/arrival plane 3 is regional division unit, Departure/arrival plane 4 is regional division unit.

As shown in FIG. 4, the departure/arrival location master 106c registers the data of the departure/arrival location, cargo handling time, neighboring company warehouse, departure/arrival area table 1, departure/arrival area table 2, departure/arrival area table 3, and departure/arrival area table 4 in association with each other. It can be configured with a table or the like.

In the example of the departure/arrival location master 106c shown in FIG. 4, the first line includes the departure/arrival location “A company Nagoya”, cargo handling time “0.5H”, nearby own warehouse “Tokai district warehouse”, departure/arrival area 1 “Nagoya IC”. , Departure/arrival area 2 "Nagoya City", Departure/arrival area 3 "Owari", and Departure/arrival area 4 "Tokai". Line 2: Departure/arrival point "Company A Toyota" Cargo handling time "0.5H" Neighboring own warehouse "Tokai district warehouse" Departure/arrival area 1 "Toyota IC" Departure/arrival area 2 "Toyota City" Departure/arrival location Direction 3 "Mikawa" and departure/arrival direction 4 "Tokai". Line 3 shows the departure/arrival point "B Company Ichinomiya", cargo handling time "0.5H", the neighboring warehouse "Tokai district warehouse", the departure/arrival area 1 "Ichinomiya IC", the departure/arrival area 2 "Ichinomiya City", and the departure/arrival location. It has 3 direction "Owari" and 4 departure and arrival area "Tokai".

Line 4 shows the departure and arrival point "B Company Tokyo", cargo handling time "0.5 hours", nearby own warehouse "Kanto district warehouse", departure and arrival area 1 "Shibuya IC", departure and arrival area 2 "Shibuya Ward", departure and arrival location Direction 3 is "Tokyo", and departure and arrival region 4 is "Kanto". Line 5 shows the departure and arrival place "C company Tokyo", cargo handling time "0.5H", nearby own warehouse "Kanto district warehouse", departure and arrival area 1 "Shinjuku IC", departure and arrival area 2 "Shinjuku Ward", departure and arrival place Direction 3 is "Tokyo", and departure and arrival region 4 is "Kanto".

The product master 106d is a master for creating operation instruction data in consideration of the vehicle loading capacity at the time of consolidation by registering the dispatch equivalent amount of each product. As shown in FIG. 5, the product master 106d can be composed of a table or the like in which data of products, units, and vehicle allocation conversion rates (weight per unit of product) are associated and registered.

In the example of the product master 106d shown in FIG. 5, the first line is the product "potato chips", the unit is "box", and the vehicle allocation conversion rate is "0.01t", and the second line is the product "orange juice", the unit is "box". , a vehicle allocation conversion rate of "0.08t", and the third line has a product of "edible oil", a unit of "L", and a vehicle allocation conversion rate of "0.2t".

The sales apportionment pattern master 106e is a master in which patterns for apportioning the sales amount for collection flights, relay flights, and delivery flights are set. As shown in FIG. 6, the sales apportionment pattern master 106e can be composed of a table or the like in which patterns and sales apportionment ratios (ratios of collection flights:relay flights:delivery flights) are registered in association with each other.

In the example of the sales apportionment pattern master 106e shown in FIG. 6, the first line is the pattern "A" and the ratio is "3:4:3", and the second line is the pattern "B" and the ratio is "5:0:5". , the third line has the pattern “C” and the ratio “3:3:4”. Pattern B assumes a pattern with no relay flights.

The order data file 106f is a file for storing order data generated in order units according to orders from customers. The order data may include order number, origin, pick-up time, destination, delivery time, product, quantity, sales amount, and distribution pattern data (see FIG. 9A). The apportionment pattern can be set by the operator with reference to the sales apportionment pattern master 106e, for example, when entering an order.

The operation instruction data file 106g is a file for storing operation instruction data. The operation instruction data is data obtained by dividing the order data into operation categories (collection service, relay service, delivery service). The operation instruction data may include parent operation instruction number, operation instruction number, origin, departure time, destination, arrival time, order number, operation classification, product, quantity, dispatch equivalent amount, and sales proportional division amount ( See FIG. 9(F)).

The control unit 102 is a CPU or the like that comprehensively controls the operation management device 100 . The control unit 102 has an internal memory for storing a control program such as an OS, a program defining various processing procedures, required data, and the like, and performs various information processing based on these stored programs. Execute. The control unit 102 functionally and conceptually includes an order data input unit 102a, an operation instruction data creation unit (sales proportional division unit) 102b, and a master maintenance unit 102c.

The order data input unit 102a, for example, according to an operator's operation on an order entry screen (not shown) displayed on the monitor 114, inputs the place of origin, pickup time, destination, delivery time, product, and quantity of the product. The received order data including the order data is input and stored in the order data file 106f.

The operation instruction data creation unit 102b creates operation instruction data divided into pickup flights, relay flights, and delivery flights based on the order data and the master settings, and stores them in the operation instruction data file 106g.

The operation instruction data creation unit 102b may refer to the vehicle master 106a, select a vehicle having a vehicle code with a high priority and a large load capacity, and assign the selected vehicle to the operation instruction data.

The operation instruction data creation unit 102b refers to the actual vehicle distance master 106b to acquire the required time, and also refers to the departure/arrival location master 106c to acquire the cargo handling time. The operation schedule (route, departure time, arrival time) of the instruction data may be determined.

The operation instruction data creation unit 102b may refer to the product master 106d and set the sum of the vehicle allocation conversion amount obtained by multiplying the vehicle allocation conversion rate of the product in the order data by the quantity to be within the load capacity of the selected vehicle.

The master maintenance unit 102c generates a vehicle master 106a, an actual vehicle distance master 106b, an origin/arrival master 106c, a product master 106d, and a sales apportionment pattern according to the operator's operation on a master maintenance screen (not shown) displayed on the monitor 114. Editing (setting) such as data input/addition/change/update is performed for the master 106e.

[3. Concrete example]
A specific example of the processing of the operation management device 100 in this embodiment will be described with reference to FIGS. 1 to 10. FIG. FIG. 7 is a diagram showing a schematic processing flow of creating operation instruction data in this embodiment. FIG. 8 is a diagram showing the data samples of FIG. FIG. 9 is a diagram showing a detailed processing flow of assigning the parent operation instruction number of the operation instruction data (S4 in FIG. 7). FIG. 10 is a diagram showing sample data of FIG.

In FIG. 7, the order data input unit 102a inputs a plurality of order data (step S1). The order data includes order number, origin, collection time, destination, delivery time, product, quantity, sales amount, and distribution pattern data. Since the apportionment pattern is a special service, it is entered each time an order is received, but is selected from the sales apportionment pattern master 106e.

The operation instruction data creation unit 102b creates operation instruction data by dividing each order data into operation sections (cargo collection service, relay service, delivery service) with reference to the departure/arrival place master 106c (step S2). The operation instruction data includes parent operation instruction number, operation instruction number, origin, departure time, destination, arrival time, order number, operation classification, product, quantity, dispatch equivalent amount, and sales proportionally divided amount. The vehicle allocation conversion amount is calculated with reference to the product master 106d. Also, the sales proportional division amount is calculated with reference to the sales distribution pattern master 106e.

The operation instruction data creating unit 102b collects the operation instruction data for each operation section (S3). Aggregation is performed on a warehouse-by-warehouse basis.

The operation instruction data creation unit 102b aggregates the operation instruction data for each vehicle (assigns a parent operation instruction number) (S4). At this time, the operation instruction data creation unit 102b refers to the vehicle master 106A to determine the vehicle. In addition, the operation instruction data creation unit 102b acquires the required time by referring to the actual vehicle distance master 106b, acquires the cargo handling time by referring to the departure/arrival master 106c, and considers the time between operations to obtain the operation schedule ( route, departure time, arrival time). In addition, the operation instruction data creation unit 102b refers to the product master 106d so that the total of the vehicle allocation conversion amount is within the load capacity of the vehicle.

Next, a specific example of the processing flow shown in FIG. 7 will be described with reference to the data sample shown in FIG.

(S1) FIG. 8A shows an example of three order data. The distribution pattern of order data is set by the operator with reference to the sales distribution pattern master 106e when inputting the order data. In the example shown in FIG. 8A, the order number "000001" is proportional division pattern A,
The apportionment pattern B is set for the order number "000002", and the apportionment pattern C is set for the order number "000003". Operation instruction data is created based on these three order data. The operator may select a plurality of order data for which operation instruction data is to be generated, or may be selected automatically.

(S2) FIG. 8B shows an example of operation instruction data obtained by dividing the order data into operation sections (cargo collection service, relay service, delivery service). The operation instruction number is obtained by adding "A" to indicate a pickup flight, "B" to indicate a relay flight, and "C" to indicate a delivery flight to the order number.

For example, for the order number "000001", the operation instruction data for the collection service is the operation instruction number "000001A", the departure place "A company Nagoya", the departure time "4/4 12:00", and the destination "Tokai district warehouse". , arrival time "4/4 19:00", order number "000001", service category "collection service", product "potato chips", quantity "10 boxes", dispatch equivalent amount "0.1 t", sales apportionment amount " 15,000”.

The operation instruction data for the relay flight includes the operation instruction number "000001B", the origin "Tokai district warehouse", the departure time "4/4 23:00", the destination "Kanto district warehouse", and the arrival time "4/5 06:00". , order number "000001", service category "relay flight", product "potato chips", quantity "10 boxes", dispatch equivalent amount "0.1t", and sales apportionment amount "20,000".

The operation instruction data for the delivery flight includes the operation instruction number "000001C", the origin "Kanto district warehouse", the departure time "4/5 09:00", the destination "B company Tokyo", and the arrival time "4/5 12:00". , order number "000001", service category "delivery service", product "potato chips", quantity "10 boxes", vehicle allocation equivalent amount "0.1t", and sales apportionment amount "15,000".

The service division and departure and arrival points are set as follows. For example, in the case of the order number "000001", the place of origin is "Nagoya, company A" and the destination is "Tokyo, company B". Acquired a warehouse "Tokai district warehouse", also acquired a nearby own vehicle warehouse "Tokyo district warehouse" corresponding to the destination "Company B Tokyo", and arranged a collection service to depart from "Company A Nagoya" and to arrive at "Tokai district warehouse" , the relay flight will be the origin "Tokai district warehouse" and the destination "Tokyo district warehouse", and the delivery flight will be the origin "Tokyo district warehouse" and the destination "B company Tokyo".

For the order number "000002", in the origin/destination master 106c, the nearby own vehicle warehouse "Tokai district warehouse" corresponding to the origin "A company Toyota" and the destination "A company Nagoya" is acquired. Since the neighboring vehicle warehouse is the same as the "Tokai district warehouse", we do not use relay flights, and the pick-up service is sent to the origin "Kanto district warehouse" and the destination "Tokai district warehouse", and the delivery service is sent to the origin "Kanto district warehouse". , and landed at "Company A Nagoya".

For the order number "000003", the nearby vehicle warehouse "Tokai District Warehouse" corresponding to the origin "Ichinomiya" is obtained from the origin master 106c, and the nearby vehicle warehouse corresponding to the destination "Company C Tokyo" is obtained. Acquisition of "Tokyo district warehouse", departure from "Ichinomiya", destination "Tokai district warehouse", relay flight from "Tokai district warehouse", destination "Tokyo district warehouse", delivery flight from "Tokyo" district warehouse” and the destination “C company Tokyo”.

The allocation conversion amount is set as follows. For example, in the case of the order number "000001", the product master 106d is referred to, the vehicle allocation conversion amount "0.01t" per unit of the product "potato chips" is obtained, and the quantity "10" is multiplied to obtain Calculate and set the dispatch conversion amount "0.1t".

The apportioned sales amount is set as follows. For example, in the case of the order number "000001", the sales apportionment pattern master 106e is referred to, the apportionment ratio "3:4:3" corresponding to the pattern "A" is obtained, and the sales amount "50,000" is obtained. Proportionally divided by the proportional division ratio "3:4:3", the proportionally divided sales amount of "15,000" for the collection flight, the proportionally divided sales amount of "20,000" for the relay flight, and the proportionally divided sales amount of "15,000" for the delivery flight Calculate and set.

(S3) FIG. 8(C) shows an example of operation instruction data aggregated for the Tokai district warehouse by collection service. FIG. 8(D) shows an example of operation instruction data in which relay flights from the Tokai district warehouse to the Kanto district warehouse are aggregated. FIG. 8(E) shows an example of aggregated operation instruction data for the Kanto district warehouse by delivery service.

(S4) FIG. 8(F) shows an example in which the operation instruction data for the pickup service of FIG. 8(C) is aggregated for each vehicle (the parent operation instruction number is assigned). This is the final (completed) operation instruction data. Details of the creation of the operation instruction data in FIG. 8(F) will be described with reference to FIGS. 9 and 10. FIG.

The operation instruction data for the cargo collection flight in FIG. 8(F) is as follows: 00", landing "A company Toyota", arrival time "4/4 13:00", order number "000001", operation classification "collection service", product "potato chips", quantity "10 boxes", dispatch equivalent amount " 0.1t", and the proportionally divided amount of sales is "15,000".

The second line contains the parent operation instruction number "000001A", the operation instruction number "000002A", the origin "A company Toyota", the departure time "4/4 13:30", the arrival "B company Ichinomiya", the arrival time "4". /4 14:00", order number "000002", service category "collection service", product "orange juice", quantity "5", dispatch equivalent amount "0.4t", sales apportionment amount "15,000" ing.

The third line is parent operation instruction number "000001A", operation instruction number "000003A", departure location "B company Ichinomiya", departure time "4/4 14:30", arrival "Tokai district warehouse", arrival time "4" /4 15:30", order number "000003", operation classification "cargo collection service", product "food oil", quantity "1L", amount equivalent to vehicle allocation "0.2t", sales apportionment amount "12,000" ing.

With reference to FIG. 9, the processing flow for numbering the parent operation instruction number of the operation instruction data will be described. In FIG. 9, the consolidated flight will be described.

In FIG. 9, the operation instruction data creation unit 102b acquires the vehicle with the lowest allocation priority from the vehicle master 106a (S11). The operation instruction data creating unit 102b selects the vehicle with the largest load capacity among the acquired vehicles (S12).

The operation instruction data creation unit 102b acquires the total load amount for each departure/arrival land from the operation instruction data and the departure/arrival land master 106c (S13).

The operation instruction data creation unit 102b compares the vehicle load and the total load (S14). It is set in advance as basic information which departure/arrival plane is to be acquired and searched first. Specifically, the following processes A to C are performed according to the magnitude relationship between the vehicle load amount and the total load amount.

A. Vehicle load>total load If a wider range of departure/arrival areas has been registered, S13 is re-executed with a wider departure/arrival area. If S14 becomes B after re-execution, the process proceeds to C under the condition before re-execution.

B. Total Loading Capacity>Vehicle Loading Capacity If a narrower departure/arrival area is registered, S13 is re-executed with a narrower departure/arrival area. If there is no narrow departure/arrival area, the second and subsequent vehicles are acquired in S11, and the vehicle load > total load.

C. Vehicle load=total load The vehicle and operation instruction data are linked, and the process proceeds to S15.

When there are three or more departure and arrival points, the operation instruction data creation unit 102b acquires the required time between all departure and arrival points from the actual vehicle distance master 106b and the cargo handling time at each departure and arrival point from the departure and arrival point master 106c. Then, the routes are rearranged in order of the shortest required time, and the total travel time is obtained (S15). The following processes A and B are performed according to the magnitude relationship between the total operating time and the upper limit operating time.

A. Total operation time > upper limit of operation time Since the time exceeds the regulation, acquire the second and subsequent vehicles in the same way as B in S14 and reduce the operation time per vehicle (if the crew is assigned at the same time , can also be set for each crew member).

B. Operation upper limit time≧total operation time After confirming the linkage between the vehicle and the operation instruction data, the process returns to S11 to allocate the next vehicle.

Next, a specific example of the processing flow shown in FIG. 9 will be described with reference to the data sample shown in FIG. A case will be described where the pick-up time date in the order data is "4/4" and the parent operation instruction number is assigned for the pick-up flight at the Tokai district warehouse.

(S11) Acquire the vehicle type codes "0001A" and "0001C" with the allocation priority of "1" on the date "4/4" from the vehicle master 106a.

(S12) The vehicle type code "0001A" is selected because the maximum load capacity of the vehicle type code "0001A" is "1.0t".

(S13) For the operation instruction numbers "000001A", "000002A", and "000003A" whose destination in the operation instruction data is "Tokai District Warehouse", the departure/arrival master 106c is referred to, and the total load capacity for each departure/arrival area is calculated. get.

Departure and arrival area 1 is Nagoya IC "0.1t", Toyota IC "0.4t", and Ichinomiya IC "0.2t". Departure/arrival area 2 is Nagoya City "0.1t", Toyota City "0.4t", and Ichinomiya City "0.2t". Departure and arrival planes 3 are Owari "0.5t" and Mikawa "0.2t". The departure/arrival plane 4 is Tokai "0.7t".

(S14) A case where departure/arrival plane 3 is set as an initial search area will be described as an example. The vehicle load capacity of the vehicle number code "0001A" is 1.0t. The total load on the departure/arrival plane 3 = Owari "0.5t" + Mikawa "0.2t" = 0.7t. Since the vehicle load capacity of A>the total load capacity, the process returns to S13, and the total load capacity of the wider departure/arrival plane 4 is reacquired. Since the total loading capacity of the departure/arrival plane 4 = Tokai "0.7t", it corresponds to A's vehicle loading capacity > total loading capacity, but since it is not possible to acquire a larger departure/arrival plane, 4 units of the departure/arrival plane Confirm the aggregation at .

(S15) Total required time between all departure and arrival points = 4.0H (1.5H + 1.0H + 0.5H + 1.0H), Total cargo handling time at each departure and arrival point = 1.5H (0.5H + 0.5H + 0.5H) . The sum of total required time and total cargo handling time = 5.5H (4.0H + 1.5H). If the upper limit of operation time is 16.0 hours if the upper limit is set by law, 5.5 hours is within the regulation, so the parent operation instruction number "000001A" is assigned.

As described above, according to the present embodiment, the order data input unit 102a for inputting order data including origin, collection time, destination, delivery time, product, and quantity of the product; and an operation instruction data creation unit 102b that creates operation instruction data divided into collection flights, relay flights, and delivery flights based on the settings of . It is possible to reduce the work load of the person in charge of vehicle allocation by automatically creating operation instruction data.

Further, according to the present embodiment, the vehicle master 106a is provided in which the vehicle number code, date, load capacity, and allocation priority data are associated and registered. Therefore, a vehicle with a vehicle code with a high priority and a large load capacity is selected, and the selected vehicle is assigned to the operation instruction data. Become.

Further, according to the present embodiment, the actual vehicle distance master 106b in which the data of the distance between departure and arrival points and the required time are registered, and the data of the departure and arrival points, cargo handling time, neighboring company warehouses, and a plurality of departure and arrival areas are registered. The operation instruction data creation unit 102b refers to the actual vehicle distance master 106b to obtain the required time, and refers to the departure/arrival location master 106c to obtain the cargo handling time, and calculates the operation interval. Since the operation schedule of the operation instruction data is determined in consideration of the time, it is possible to set the shortest operation time.

Further, according to the present embodiment, the product master 106d is provided in which the product and the data of the dispatch conversion rate, which is the weight per unit of the product, are registered in association with each other. By referring to , we made it so that the total of the vehicle allocation conversion amount obtained by multiplying the vehicle allocation conversion rate of the product in the order data by the quantity is within the loading capacity of the selected vehicle, so it is possible to load the product to the maximum. Become.

[4. Other embodiments]
The present invention may be implemented in various different embodiments other than the embodiments described above within the scope of the technical idea described in the claims.

For example, among the processes described in the embodiments, all or part of the processes described as being automatically performed can be manually performed, or all of the processes described as being manually performed Alternatively, some can be done automatically by known methods.

In addition, unless otherwise specified, the processing procedures, control procedures, specific names, information including parameters such as registration data and search conditions for each process, screen examples, and database configurations shown in this specification and drawings can be changed arbitrarily.

Also, with respect to the operation management device 100, each component shown in the figure is functionally conceptual, and does not necessarily need to be physically configured as shown in the figure.

For example, all or any part of the processing functions provided by the operation management device 100, particularly each processing function performed by the control unit, may be realized by a CPU and a program interpreted and executed by the CPU. Alternatively, it may be implemented as hardware by wired logic. In addition, the program is recorded on a non-temporary computer-readable recording medium containing programmed instructions for causing the information processing device to execute the processing described in this embodiment, and if necessary, the operation management device 100 mechanically read. That is, a storage unit such as a ROM or HDD (Hard Disk Drive) stores a computer program for giving commands to the CPU in cooperation with the OS to perform various processes. This computer program is executed by being loaded into the RAM and constitutes a control section in cooperation with the CPU.

In addition, this computer program may be stored in an application program server connected to the operation management device 100 via any network, and all or part of it can be downloaded as necessary. be.

Also, the program for executing the processing described in this embodiment may be stored in a non-temporary computer-readable recording medium, or may be configured as a program product. Here, the term "recording medium" refers to memory cards, USB (Universal Serial Bus) memories, SD (Secure Digital) cards, flexible disks, magneto-optical disks, ROMs, EPROMs (Erasable Programmable Read Only Memory), EEPROMs (registered (trademark) (Electrically Erasable and Programmable Read Only Memory), CD-ROM (Compact Disk Read Only Memory), MO (Magneto-Optical disk), DVD (Digital Versatile Disk), and Disc (registered trademark) such as Blu- shall include any "portable physical medium".

A "program" is a data processing method written in any language or writing method, regardless of the format such as source code or binary code. In addition, the "program" is not necessarily limited to a single configuration, but is distributed as multiple modules or libraries, or cooperates with a separate program represented by the OS to achieve its function. Including things. It should be noted that well-known configurations and procedures can be used for the specific configuration and reading procedure for reading the recording medium in each device shown in the embodiments, the installation procedure after reading, and the like.

The various databases stored in the storage unit are storage means such as memory devices such as RAM and ROM, fixed disk devices such as hard disks, flexible disks, and optical disks. It stores programs, tables, databases, files for web pages, and so on.

Further, the operation management device 100 may be configured as an information processing device such as a known personal computer or workstation, or may be configured as the information processing device to which arbitrary peripheral devices are connected. Also, the operation management device 100 may be implemented by installing software (including programs, data, etc.) that causes the device to implement the processing described in the present embodiment.

Furthermore, the specific forms of distribution and integration of devices are not limited to those shown in the figures, and all or part of them can be functionally or physically arranged in arbitrary units according to various additions or functional loads. It can be distributed and integrated. In other words, the embodiments described above may be arbitrarily combined and implemented, or the embodiments may be selectively implemented.

100 operation management device 102 control unit 102a order data input unit 102b operation instruction data creation unit (sales proportional division unit)
102c Master maintenance unit 104 Communication interface unit 106 Storage unit 106a Vehicle master 106b Actual vehicle distance master 106c Departure/arrival master 106d Merchandise master 106e Sales apportionment pattern master 106f Order data file 106g Operation instruction data file 108 Input/output interface unit 112 Input device 114 Output device 200 server 300 network

Claims (6)

An operation management device comprising a control unit ,
The control unit
It is configured so that you can access the origin and destination master that registers data on the origin and destination, cargo handling time, neighboring warehouses, and multiple origin and destination areas.
order data input means for inputting order data including origin, pick-up time, destination, delivery time, product, and quantity of the product;
Operation instruction data creation means for creating operation instruction data divided into collection flights, relay flights, and delivery flights based on the order data;
with
The operation instruction data creation means refers to the departure and arrival place master, acquires neighboring company warehouses corresponding to the departure and arrival places of the order data, and if the acquired neighboring company warehouses are the same, the departure place is selected as the above. If the collection flight with the origin and destination of the order data as the neighboring company warehouse, the delivery flight with the origin and destination as the destination of the order data, but the neighboring company warehouse is different. corresponds to the collection flight with the departure place as the origin of the order data and the nearby own warehouse corresponding to the origin where the destination was acquired, the nearby own warehouse corresponding to the origin where the origin was acquired, and the destination where the destination was acquired a relay flight with a neighboring company's own warehouse, a neighboring company's warehouse corresponding to the destination of which the origin is acquired, and a delivery flight with the destination as the arrival of the order data. The control unit
It is configured to be able to access the vehicle master registered in association with the vehicle number code, date, load capacity, and allocation priority data,
The operation instruction data creation means refers to the vehicle master, selects a vehicle with a high priority and the largest load capacity, and refers to the departure/arrival land master to obtain a total load capacity for each departure/arrival land. Then, according to the magnitude relationship between the load capacity of the selected vehicle and the total load capacity, processing is performed to expand or reduce the area of the wide departure/arrival area and the narrow departure/arrival area, and the vehicle is assigned to the operation instruction data. The traffic control device according to claim 1. The control unit
It is configured to be able to access the actual vehicle distance master in which the data of the distance between the departure and arrival points and the required time are registered.
The operation instruction data creation means refers to the actual vehicle distance master to acquire the required time, refers to the departure and arrival point master to acquire the cargo handling time, and considers the time between operations to obtain the 3. The operation management device according to claim 1, wherein the operation schedule of the operation instruction data is determined. The control unit
It is configured to be able to access the product master registered in association with the data of the vehicle allocation conversion rate which is the weight per unit of the product and the product,
The operation instruction data creating means refers to the product master so that the sum of the vehicle allocation conversion amount obtained by multiplying the vehicle allocation conversion rate of the product of the order data by the quantity is within the load capacity of the selected vehicle. The operation management device according to any one of claims 1 to 3, characterized by the following. An operation management method executed by an information processing device having a control unit ,
The control unit
It is configured so that you can access the origin and destination master that registers data on the origin and destination, cargo handling time, neighboring warehouses, and multiple origin and destination areas.
Executed in the control unit,
an order data input step of inputting order data including origin, pick-up time, destination, delivery time, product, and quantity of the product;
an operation instruction data creation step of creating operation instruction data divided into collection flights, relay flights, and delivery flights based on the order data;
including
In the operation instruction data creation step, by referring to the departure and arrival place master, neighboring company warehouses corresponding to the departure and arrival places of the order data are acquired, and if the acquired neighboring company warehouses are the same, the departure place is selected as the above. If the collection flight with the origin and destination of the order data as the neighboring company warehouse, the delivery flight with the origin and destination as the destination of the order data, but the neighboring company warehouse is different. corresponds to the collection flight with the departure place as the origin of the order data and the nearby own warehouse corresponding to the origin where the destination was acquired, the nearby own warehouse corresponding to the origin where the origin was acquired, and the destination where the destination was acquired a relay flight with a neighboring company's own warehouse as the destination, a neighboring company's warehouse corresponding to the acquired destination, and a delivery flight with the destination as the arrival of the order data. An operation management program to be executed by an information processing device having a control unit ,
The control unit
It is configured so that you can access the origin and destination master that registers data on the origin and destination, cargo handling time, neighboring warehouses, and multiple origin and destination areas.
In the control unit,
an order data input step of inputting order data including origin, pick-up time, destination, delivery time, product, and quantity of the product;
an operation instruction data creation step of creating operation instruction data divided into collection flights, relay flights, and delivery flights based on the order data;
is an operation management program for executing
In the operation instruction data creation step, by referring to the departure and arrival place master, neighboring company warehouses corresponding to the departure and arrival places of the order data are acquired, and if the acquired neighboring company warehouses are the same, the departure place is selected as the above. If the collection flight with the origin and destination of the order data as the neighboring company warehouse, the delivery flight with the origin and destination as the destination of the order data, but the neighboring company warehouse is different. corresponds to the collection flight with the departure place as the origin of the order data and the nearby own warehouse corresponding to the origin where the destination was acquired, the nearby own warehouse corresponding to the origin where the origin was acquired, and the destination where the destination was acquired An operation management program characterized by making a relay flight with a neighboring company warehouse as the origin, a nearby company warehouse corresponding to the destination obtained by acquiring the origin, and a delivery flight with the destination as the arrival of the order data.

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