JP7323933B2 - Information processing equipment - Google Patents

Description

The present invention relates to an information processing device.

Logistics has always been closely related to people's lives, and efficient distribution is a very important issue.
In this regard, there is a technique for providing a delivery plan support system for optimizing a collection and delivery plan for a plurality of customers, such as round collection and delivery by truck (see, for example, Patent Document 1).
More specifically, it relates to a device that assists in determining the optimum delivery order when delivering to multiple customers using trucks, and more particularly to a technique for coping with additional delivery tasks that occur after creation of a delivery plan.

JP 2003-002444 A

However, with the conventional technology alone including Patent Document 1, although it is possible to cope with the case where additional delivery work occurs after the delivery plan is created, a truly efficient delivery plan can be achieved by taking into consideration the driver's compliance and the like. Difficult to create.
In recent years, in particular, it has been pointed out that the working environment for people involved in logistics (truck drivers, etc.) is poor. important to

SUMMARY OF THE INVENTION The present invention has been made in view of such circumstances, and it is an object of the present invention to determine the content of a break (rest place and break time) in consideration of the driver's compliance restrictions.

In order to achieve the above object, an information processing device according to one aspect of the present invention includes:
Rest information, including rest places and rest times, based on compliance restrictions imposed on the driver of a moving object that transports specified goods on a transportation route that moves from a departure point to an arrival point. a break content determining means for determining one or more of

According to the present invention, it is possible to provide a technology capable of determining the content of a break (rest place and break time) in consideration of the compliance restrictions of the driver.

3 is a block diagram showing the hardware configuration of a server according to one embodiment of the present invention; FIG. FIG. 2 is a block diagram showing a functional configuration of the server of FIG. 1 for executing processing for determining contents such as a break, among the functional configurations ; FIG. 3 is a flowchart for explaining a series of flow of content determination processing such as a break executed by the server of FIG. 2; FIG. FIG. 3 is a diagram showing a specific example of content determination processing for rest etc. executed by the server in FIG. 2 ; FIG. 6 is a diagram showing a specific example of a result of the content determination process for rest etc. executed by the server of FIG. 2, and is a diagram showing an example different from that of FIG . FIG. 10 is a diagram showing a specific example of an input form used by a user to request transportation of a package; FIG. 10 is a diagram showing a specific example of an input form used by a user to request transportation of a package; FIG. 10 is a diagram showing a specific example of an input form used by a user to request transportation of a package; FIG. 10 is a diagram showing a specific example of an operation plan calculated and displayed based on the contents entered in the input form; FIG. 10 is a diagram showing a specific example of an operation plan calculated and displayed based on the contents entered in the input form;

An embodiment of the present invention will be described below with reference to the drawings.

FIG. 1 is a block diagram showing the hardware configuration of a server according to one embodiment of the present invention.

The server 1 includes a CPU (Central Processing Unit) 11, a ROM (Read Only Memory) 12, a RAM (Random Access Memory) 13, a bus 14, an input/output interface 15, an output section 16, and an input section 17. , a storage unit 18 , a communication unit 19 and a drive 20 .

The CPU 11 executes various processes according to programs recorded in the ROM 12 or programs loaded from the storage unit 18 to the RAM 13 .
The RAM 13 also stores data necessary for the CPU 11 to execute various processes.

The CPU 11 , ROM 12 and RAM 13 are interconnected via a bus 14 . An input/output interface 15 is also connected to this bus 14 . An output unit 16 , an input unit 17 , a storage unit 18 , a communication unit 19 and a drive 20 are connected to the input/output interface 15 .

The output unit 16 is composed of various liquid crystal displays and the like, and outputs various information.
The input unit 17 is composed of various hardware and the like, and inputs various information.
The storage unit 18 is configured by a hard disk, a DRAM (Dynamic Random Access Memory), or the like, and stores various data.
The communication unit 19 controls communication with other devices (the driver terminal 2 and the user terminal 3 in the example of FIG. 1) via a network N including the Internet.

A drive 20 is provided as required. A removable medium 21 such as a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory is mounted in the drive 20 as appropriate. A program read from the removable medium 21 by the drive 20 is installed in the storage section 18 as necessary. The removable medium 21 can also store various data stored in the storage section 18 in the same manner as the storage section 18 .

Various types of processing, which will be described later, are realized by the cooperation of various types of hardware and various types of software of the server 1 of FIG.

FIG. 2 is a functional block diagram showing the functional configuration of the server 1 of FIG. 1. As shown in FIG.
Here, the "determination process for the content of rests, etc." refers to a series of processes for determining one or more pieces of rest, etc. information, including resting or resting places and resting or resting times, based on compliance restrictions imposed on drivers, etc. Say.

In the CPU 11 of the server 1, as shown in FIG. 2, a route determining section 61, an article addition receiving section 62, a rest content determining section 63, and a display control section 64 function. A restriction information DB 300 is provided in one area of the storage unit 18 .
Here, the restriction information DB 300 holds, as "restriction information", information relating to compliance restrictions on drivers and information relating to quantity restrictions on transportable goods such as trucks.

The route determination unit 61 of the server 1 determines a transportation route for moving from a departure point to an arrival point for a moving object that transports a predetermined article.
That is, the route determination unit 61 determines a transport route for a truck or the like that transports a predetermined item (for example, coffee) from a departure point to an arrival point. Note that this transport route is appropriately modified and determined depending on the driver's compliance restrictions, the addition of goods to be transported, and the like.

The item addition reception unit 62 receives the addition of transportation of an item other than the predetermined item by a moving body currently transporting the predetermined item.
In other words, the additional goods receiving unit 62 receives the addition of the transport of goods other than the predetermined goods (such as tea) to the truck or the like that is carrying the predetermined goods (such as coffee).
Here, the item other than the predetermined item does not necessarily have to be a type of item other than the predetermined item, and may be the same item (for example, the same type of coffee as the predetermined item).

The rest etc. content determination unit 63 determines one or more pieces of rest etc. information including a rest or rest time for each rest or rest place based on the compliance restrictions imposed on the driver of the mobile object.
That is, based on the compliance restrictions imposed on drivers of trucks, etc., the rest etc. content determination unit 63 determines one or more pieces of rest etc. information necessary for complying with the compliance restrictions on the transport route described above. do.

The display control section 64 generates an image displayed on the display section 81 of the server 1 . Specifically, for example, an image or the like is generated in which the contents such as rest determined by the contents determination unit 63 for rest etc. are displayed on the display unit 81 .

Here, before describing a specific example of the content determination process for rest, etc., first, the difference between a rest and a break in the present embodiment will be briefly described.
Rest means four hours or more of rest (non-working hours) without working. This rest does not count as working hours.
A break refers to a short break during working hours to allow the body to rest so that working hours do not continue for a long time. Specifically, for example, when a driver drives continuously for 4 hours, the truck is stopped for 30 minutes to rest.
In the present embodiment, the concepts of rest and break will be described separately. Furthermore, when the rest content determination unit 63 determines one or more pieces of information such as rest, for example, "Route A has 1 rest and 1 rest", "Route B has 0 rests". , rest twice", the number and duration of rests and rests may be determined separately.

In this example, it is assumed that the route determination unit 61 of the server 1 determines in advance the transportation route of the truck T traveling from Sendai (departure point) to Osaka (arrival point). In addition, as a compliance limit for drivers, eight hours of working hours is set as the upper limit.
Here, in this example, when traveling from Sendai (departure point) to Osaka (arrival point) on a straight route, the traveling time of the truck T exceeds 8 hours. In other words, if you travel from Sendai (departure point) to Osaka (arrival point) without a break, the driver's working hours will exceed eight hours, so the driver's compliance limit will not be observed.
Therefore, in such a case, the content determination unit 63 for breaks, etc., can appropriately determine the content of breaks, etc. so that the working hours of the driver do not exceed 8 hours, and incorporate them into the transportation route described above .

FIG. 4 is a flow chart for explaining a series of processes for determining the content of breaks, etc., executed by the server 1 of FIG.

In step S1, the route determination unit 61 determines a transportation route for a truck or the like that transports a predetermined item (for example, coffee) from a departure point to an arrival point.

In step S2, the additional article reception unit 62 determines whether or not the truck or the like that is carrying the predetermined article (eg, coffee) receives an additional instruction to carry an article other than the predetermined article (eg, tea, etc.).
If there is no additional instruction to carry an article other than the predetermined article, it is determined as NO in step S2, and the process proceeds to step S4.
On the other hand, if there is an additional instruction to carry an item other than the predetermined item, YES is determined in step S2, and the process proceeds to step S3.

In step S3, the route determination unit 61 adds collection points and the like for articles other than the predetermined articles for which additional transportation instructions have been given in step S2, and determines a new transportation route.

In step S4, the rest etc. content determination unit 63 determines one or more pieces of rest etc. information required to comply with the compliance restrictions on the transportation route based on the compliance restrictions imposed on the driver of the truck or the like. .

In step S5, the display control unit 64 displays, on the display unit 81, information such as rest determined in step S4, for example.

In step S6, the CPU 11 of the server 1 determines whether or not there is an instruction to end processing.
Here, the processing end instruction is not particularly limited, but in the present embodiment, an instruction to shift the server 1 to a so-called sleep state or the like is adopted. That is, unless an instruction to shift to a sleep state or the like is given in the server 1, it is determined as NO in step S6, the process is returned to step S1, and the subsequent processes are repeated.
On the other hand, when the server 1 issues an instruction to shift to a sleep state or the like, it is determined as YES in step S6, and the content determination processing for rest and the like ends.

Although one embodiment of the present invention has been described above, the present invention is not limited to the above-described embodiment, and modifications, improvements, etc. within the scope of achieving the object of the present invention are included in the present invention. be.

Here, in the above-described embodiment, the explanation has been given on the premise that the addition of the transportation of the article is not accepted after the transportation route is determined, but the present invention is not particularly limited to this.
That is, the article addition reception unit 62 can accept the addition of the transportation of the article even when the transportation route is determined. In this case, the article addition reception unit 62 can determine a new transportation route including the addition of transportation of the article.

Therefore, an example of processing when an additional delivery of an article is accepted will be described with reference to FIG. 5 .
FIG. 5 is a diagram showing an example of changing the transport route in the processing for determining the content of breaks, etc., executed by the server in FIG. 2 .

For example, in the example of FIG. 5, a truck T is loaded with seven pallets loaded with goods (for example, canned coffee) from shippers S in Tokyo, and departs shippers S at 9:00 am on January 23rd. The goods are being transported to Customer C located in Osaka. Also, the delivery date for the goods to customer C is 5:00 pm on January 24th.
Here, truck T has a transportable pallet quantity limit of 10, and the driver driving truck T has a compliance limit of 8 hours of work per day (for example, 9 am on January 23rd). 5:00 p.m. on the same day).
In other words, since the number of pallets that can be transported by the truck T is limited to 10, the truck T currently loaded with 7 pallets can transport 3 additional pallets.
Here, it takes about 5 hours to transport from shipper S to customer C in the shortest distance. That is, when the shipper S departs at 9:00 am on January 23rd, the estimated time of arrival of the truck T at the customer C is 2:00 pm on January 23rd.

Assume that user U in Hamamatsu desires additional transportation of three pallets loaded with goods (for example, canned goods).
In this case, assuming that the truck T transports the goods to be additionally transported, the time required for transporting the goods from the shipper S to the customer C via the user U in the shortest distance is about 7 hours.
That is, when the shipper S leaves the shipper S at 9:00 am on January 23rd, the estimated time of arrival of the truck T at the customer C is 4:00 pm on January 23rd.

As a compliance limit, the driver's working hours are 8 hours, whereas the time required for transportation from the shipper S to the customer C via the user U in the shortest distance is about 7 hours. That is, the travel time is within the compliance limits for the driver's working hours.
Also, while the number of pallets that the truck T can carry is limited to 10, the number of pallets currently being carried by the truck T is 7, and the number of pallets scheduled to be added by the user U is 3. is. That is, it is within the limit of the number of pallets that the truck T can transport.
Furthermore, the delivery date for the goods to customer C is 5:00 pm on January 24th. On the other hand, if the shipper S leaves the shipper S at 9:00 am on January 23rd, the estimated time of arrival of the truck T at the customer C is 4:00 pm on January 23rd. That is, it is within the limit of the delivery date of the goods to the customer C.
As described above, in the example of FIG. 5, the truck T stops at the user U, three pallets loaded with goods (for example, canned goods) from the user U, and seven pallets loaded from the shipper S, Transport to Customer C.
Note that, in the example of FIG. 5 as well, the rest etc. content determination unit 63 can also appropriately determine rests etc. so that the driver's compliance restrictions are observed.
In addition, the following method is conceivable as a method for the rest etc. content determination unit 63 to determine a new transportation route. Next, with reference to FIG. 6, an example of a technique for determining a new transportation route by the content determination unit 63 for rest etc. will be described.

FIG. 6 is a diagram showing a specific example of the result of the content determination process for rest etc. executed by the server in FIG. 2 , and is a diagram showing an example different from FIG.

In the example of FIG. 6, a normal route and an avoidance route in a predetermined range (for example, from Tokyo to Hamamatsu) including a shipper's base KT, a shipper's base KH, a warehouse SY for storing goods, and a warehouse SA for storing goods. 10 shows an example of determination of the contents of a break and the determination of rest.

In the example of FIG. 6, the route determining unit 61 of the server 1 determines a transportation route for transporting a predetermined article (for example, coffee) from the base KT to the base KH via the warehouse SA.
Here, it is assumed that it takes 10 hours to drive a predetermined article (for example, coffee) from the base KT to the base KH via the warehouse SA. In other words, when moving from the base KT to the base KH via the warehouse SA without a break, the driver's working hours exceed 8 hours, and the driver's compliance limit is not observed.
Therefore, as described above, the break content determination unit 63 appropriately decides the content of the break, etc., and determines a new transportation route so that the working hours of the driver do not exceed eight hours.
In the example of FIG. 6, after the driver moves from the base KT to the warehouse SY, after resting for 4 hours, a new transportation route is determined to move to the base KH.
In this way, the rest etc. content determination unit 63 determines a new transportation route that adheres to the compliance limit when the driver's working hours exceed 8 hours (when the compliance limit is not observed).

Also, for example, in the above-described embodiment, information about the compliance restrictions of the driver is used as the "restriction information", but the information is not particularly limited to this. Other information may be employed.

Further, for example, in the above-described embodiment, "rest" and "rest" were described as examples of "contents of rest, etc.", but the present invention is not particularly limited to this.
The provider of this service may adopt various items related to breaks other than "rest" and "breaks" as contents of breaks.
Also, the definitions of "rest" and "rest" are merely examples, and can be arbitrarily determined by the provider of this service.

Also, for example, in the above-described embodiment, the driver's compliance limit is described as eight working hours, but it is not particularly limited to this.
Providers of the Service may optionally set compliance limits to improve working conditions for drivers.
Furthermore, the provider of this service may determine the transportation route in consideration of, for example, tolls (for example, expressway tolls, fuel consumption, etc.) as well as compliance restrictions of the driver.

Further, for example, in the above-described embodiment, it is determined whether or not additional transportation conditions can be added to the current transportation conditions based on one additional transportation condition presented by one user. It is not particularly limited to this. Based on M or more (M is an arbitrary integer value of 2 or more) additional transportation conditions presented by a plurality of users, N (N is an arbitrary integer value of M or less) additional transportation conditions to the current transportation conditions can be added.

Further, according to the information processing apparatus of the present invention, by performing the following processing, it is possible to formulate an optimal operation plan that takes compliance into consideration.
That is, in conventional transport systems, it was common to determine a vehicle for transporting a load based on the distance from the departure point to the destination and the weight of the load. One of the reasons for this is that conventional transportation systems are designed to perform processing based on a physical distribution contract between a shipper and a transportation company.
As a result, in the conventional transportation system, compliance regarding driver's working hours could not be taken into account, so the dispatch staff of the transportation company had to consider the situation of the transportation company, the situation of the driver, etc. .
However, with the rapid increase in distribution volume, it is not appropriate to leave all compliance considerations to the vehicle dispatch staff in today's world where compliance has become common sense.
Therefore, according to the information processing apparatus of the present invention, it is possible to determine an optimal operation plan that takes compliance into consideration. As a result, for example, it is possible to easily respond to an unannounced patrol investigation by a government office (for example, the Labor Standards Inspection Office in Japan) regarding the presence or absence of compliance. Specifically, it is also possible to easily generate evidence such as documents for proving compliance.

Furthermore, compliance can be observed from an international perspective. Specifically, it is possible to determine an operation plan that considers not only the working hours of the driver but also the working conditions. For example, in Europe, the maximum weight that a single driver can carry is fixed, but this can also be accommodated. In other words, by considering the maximum weight that a single driver can carry as a working condition, it is possible to determine an operation plan that takes into account the physical strength and health of the driver.

Furthermore, it is also possible to determine the operation plan in consideration of the overtime hours of the driver. In the past, there was a compliance problem because the dispatch work was performed without sharing information such as the overtime hours of the current month.

7 to 9 are diagrams showing specific examples of input forms used when a user requests the transportation of a package.

When various types of information are entered in the input forms shown in FIGS. 7 to 9, an operation plan is determined in consideration of the driver's compliance with respect to working hours, breaks, rest periods, sleeping hours, and workload. .

As shown in FIG. 7, the input item (1) has a column for inputting the weight (kg) of the cargo to be transported as "package information". If "4900" (kg) is entered in this field, truck candidates that can be used to transport the cargo are displayed. Candidate trucks are displayed with information of "vehicle number", "vehicle class", "loaded weight", "cargo weight", "possible weight", and "weight determination". Specifically, the car number (vehicle number) is "Yamanashi 100 or XX-XX", the car class is "13t wing car", the load weight is "13000" (kg), the cargo weight is "4900" (kg), A truck with a possible weight of "8100" (kg) and a weight judgment of "●" (that is, acceptable) and two other trucks are displayed as candidates. Information indicating the other two trucks is as shown in FIG.
The user selects a desired track from among the tracks displayed as candidates. Specifically, it is selected by performing an operation of putting a check in the "Select" column.

Further, as shown in FIG. 7, the input item (2) is provided with columns for inputting the "departure point" and "arrival point" of the package to be transported as "delivery information". If you enter "Kodaira City, Tokyo" in the "Departure Place" field and "Nagoya City, Aichi Prefecture" in the "Destination Place" field, the total transport distance will be automatically calculated and displayed. be done. Specifically, "347 km" is displayed in the "Distance" column.
In addition to the total distance to be transported, information indicating transport conditions is automatically calculated and displayed. In the transportation conditions displayed, "outbound driving time", "break", "rest period", "standby", and "loading" are displayed as outbound transportation conditions, and as return transportation conditions, Various types of information such as "return driving time", "rest", "rest period", and "restraint time" are included. Specifically, as the transport conditions for the destination, the destination driving time is "240" (minutes), the break is "30" (minutes), the rest period is "0" (minutes), the standby is "30" (minutes), The loading is displayed as "60" (minutes). In addition, as the return transportation conditions, the return driving time is displayed as "240" (minutes), the break as "30" (minutes), the rest period as "0" (minutes), and the restraint time as "630" (minutes). ing.
Furthermore, various types of information such as "working hours" consisting of "working hours" and "waiting time" and "break times" are displayed. Specifically, the work time is displayed as "540" (minutes), the waiting time as "30" (minutes), and the break time as "60" (minutes). Note that "waiting time" refers to waiting time that is included in working hours but is not actually performed.

Further, as shown in FIG. 8, the input item (3) has a field for inputting the "arrival time" of the package to be transported in order to specify the delivery time. If you enter, for example, "9:30" in the "arrival time" field, the departure time will be automatically calculated and displayed. Specifically, "4:30" is displayed in the "departure time" column, and the candidate drivers are displayed. That is, when the arrival time is input, the departure time is automatically calculated based on the transportation conditions automatically calculated in (2). Then, when the departure time is automatically calculated, candidate drivers who meet the conditions of a rest period, sleep time, and driver's license, which will be described later, among the transport conditions are displayed. That is, the displayed driver candidates are displayed as various information such as "time to return to office", "judgement", "rest period", "name", "age", "license", and "driving history". Specifically, the most recent time to return to work is "18:00", the judgment is "○" (that is, transportation conditions are met), the rest period is "10 hours and 30 minutes", the name is "Taro Yamada", and the age is "35". A driver with a license of "Large vehicle" and a driving experience of "13 years", and two others are displayed as candidates for drivers. Each piece of information indicating the other two candidates is as described in FIG.

Here, although not displayed on the screen, four persons will be described as an example of those who are excluded from the candidate drivers because they do not satisfy the transportation conditions.
That is, the most recent time to return to work is "21:00", the rest period is "7 hours and 30 minutes", the name is "Rokuro Akiyama", the age is "25 years old", the license is "Large vehicle", and the driving experience is "5 years". , the rest period is judged to be "X" (that is, does not meet the transportation conditions). In addition, the most recent time to return to work is "23:00", the rest period is "5 hours and 30 minutes", the name is "Shichiro Haneda", the age is "27 years old", the license is "Large vehicle", and the driving experience is "7 years". , the rest period is judged to be "X" (that is, does not meet the transportation conditions). This is because none of the passengers meet the transport conditions for a rest period that requires a rest period of 8 consecutive hours or more.
On the other hand, the most recent time to return to work is "18:00", the rest period is "10 hours and 30 minutes", the name is "Shiro Sato", the age is "25 years old", the license is "medium vehicle", and the driving history is For those who are "three years", the judgment of the rest period is "○" (that is, the transportation conditions are satisfied). In addition, the most recent time to return to work is "18:00", the rest period is "10 hours and 30 minutes", the name is "Ringoro", the age is "18 years old", the driver's license is "semi-medium vehicle", and the driving history is "1". For those who are "years", the judgment of the rest period is "○" (that is, the transportation conditions are met). However, these two are not candidates for drivers because their licenses do not match.

Further, as shown in FIG. 9, in the input item (4), there is provided a field for inputting the specific contents of the package as "package information" in order to calculate the workload and the difficulty of the work. there is If you enter or select, for example, "beverage (paper pack)" or "980 cases" in the "package information" field, the weight of the package (4900 kg) is automatically displayed, along with the "difficulty", "work conditions", The work load and difficulty level of the work, which are displayed in the information of "work volume" and "work weight", are automatically calculated and displayed. Specifically, the difficulty level is "A", the work condition is "hand loading and unloading", the work amount is "1960 cases", and the work weight is "9800 kg", and the difficulty level is "B" and the work condition is " A task with a work volume of "980 cases" and a work weight of "4900 kg", a difficulty level of "C", a work condition of "palletized pallet wholesale", and a work volume of "0 cases". A work with a weight of "0 kg" is displayed so that it can be selected.

Here, when difficulty level B is selected as shown in FIG. 9, those who can perform "unloading of pallets" as a work condition are displayed as candidates for drivers. That is, the candidates for the driver are displayed as various information such as "time to return to work", "standby time at home (approximate sleep time)", "name", "age", "health condition", and "work load". Specifically, the most recent time to return to work is "18:00", the waiting time at home (approximate sleep time) is "10 hours and 30 minutes", the name is "Taro Yamada", the age is "35 years old", and the health condition is " ◎”, and the person whose workload is “can be loaded”, the most recent time to return to work is “19:00”, the waiting time at home (estimated sleep time) is “9 hours and 30 minutes”, and the name is “Jiro Kimura”. , whose age is ``45'', whose health condition is ``○'', and whose workload is ``available'', and those whose most recent return to work was ``17:30'' and whose standby time at home (approximate sleep time) is `` 11 hours", the name is "Saburo Suzuki", the age is "55 years old", the health condition is "△", and the workload is "confirmation of the person with low back pain". there is
Here, among the symbols indicating the candidate's health condition, "⊚" indicates that the candidate can perform any of the tasks of difficulty levels A, B, and C. Also, "◯" indicates that both the work with difficulty level B and C can be performed, and "Δ" indicates that only the work with difficulty level C can be performed. In other words, among the three candidates displayed as drivers, the candidate whose name is "Saburo Suzuki" is confirmed to be a person with low back pain. pallet wholesaling).
In this way, according to the compliance-added route determination process, not only compliance but also labor management including management of the driver's personal health condition can be properly managed.

When the input to the input form shown in FIGS. 7 to 9 is completed, an operation plan based on the input contents is automatically calculated and displayed.
10 and 11 are diagrams showing a specific example of an operation plan calculated and displayed based on the contents entered in the input form.

As shown in FIG. 10, (5) the operation plan is displayed as various information of "vehicle information" consisting of "driver's name", "car number" and "vehicle class", as well as "departure time", "Break start", "Break end", "Arrival time", "Standby start", "Standby end", "Loading start", "Loading end", "Departure time", "Break start", "Break end" ”, and “return time” are displayed.
Specifically, as a specific operation plan from departure to arrival at the site, the "departure time" is to depart "Kodaira City, Tokyo" at "4:30" on "October 28". is displayed, "Break start" indicates that the break will start at "○○ parking" from "7:30" on "October 28", and "Break end" indicates "10 It is displayed that the break at "○○ parking" will end at "8:00" on "Month 28th", and "Aichi It is displayed that it will arrive at "Prefecture Nagoya City".
Next, as a specific operation plan from arrival at the site until loading work is completed, the "waiting start" will be at "Nagoya City, Aichi Prefecture" from "9:00" on "October 28". It is displayed that the standby will start, and in "Standby End", it is displayed that the standby in "Nagoya City, Aichi Prefecture" will end at "9:30" on "October 28". "Start loading" indicates that the loading operation will start in "Nagoya City, Aichi Prefecture" from "9:30" on "October 28", and "End loading" indicates "October 28 It is displayed that the loading operation in "Nagoya City, Aichi Prefecture" will be completed at "10:30" on "Sunday".
Furthermore, as a specific operation plan from the completion of the loading work until returning to the office, the "departure time" is "10:30" on "October 28" from "Nagoya City, Aichi Prefecture". In "Break start", it is displayed that the break will start at "○○ parking" from "13:30" on "October 28", and "Break end" is displayed It is displayed that the break at "○○ parking" will end at "14:00" on "October 28", and "15:30" on "October 28" is displayed for "time to return to work" It is displayed that it will arrive at "Kodaira City, Tokyo". In addition, the "restraint time" that indicates the total amount of time that the driver is restrained is "11 hours", and the "overtime hours" that indicates the amount of overtime that the driver will have to do is "3 hours". is displayed.

Further, FIG. 11 shows a calculation result as to what kind of influence there will be after the operation plan shown in FIG. 10 is executed.
That is, as shown in FIG. 11, "Driver Taro Yamada's cumulative overtime hours in October" indicating the cumulative overtime hours of the driver in this month is "38 hours", and the driver is allowed to work overtime in this month. It is displayed that the "remaining overtime hours for driver Taro Yamada in October" indicating the time is "1 hour".
Further, the effect on regular flights after the operation plan shown in FIG. 10 is executed is displayed. Specifically, "Taro Yamada regular flight operation" is displayed with the information of "service date" and "judgment". In other words, it is displayed that both the regular service on "October 29" and the regular service on "October 30" are "X" (that is, cannot operate).
Here, the contents of the "judgment" shown in FIG. 11 are determined based on various information from the working conditions, the monthly operation schedule, and the time card. Working conditions can include information from labor-management agreements under Article 36 of the Labor Standards Act, for example. Specifically, it is possible to include information such as 3 hours per day that can be extended, 25 hours in total for two weeks, 42 hours in total for one month, and 320 hours in total for one year. A monthly schedule may include, for example, information about the driver's scheduled flights. Specifically, information such as 10 hours of work per day and 2 hours of overtime can be included. The timecard may contain information about the performance of the driver's working hours, for example. Based on such information, in the case of the above example, the driver "Taro Yamada" is scheduled to work two hours of overtime per day for regular flights. That is, if the driver "Taro Yamada" executes the operation on October 28 according to the operation plan shown in FIG. As a result, it will be impossible to operate both the scheduled service on October 29 and the scheduled service on October 30, which require two hours of overtime per day. In other words, when Taro Yamada executes the service on October 28, the judgment for Taro Yamada's regular service on the next day (October 29) and the day after the next (October 30) is "X", and someone It indicates that it is necessary for another driver to assist or outsource the work.
In this way, together with the operation plan, the subsequent effects of executing the operation plan are also displayed, so planned operation that observes compliance can be realized. The operation plan shown in FIG. 10 is a one-day operation plan, but based on this operation plan, a long-term operation plan such as one week, one month, and one year can be drawn up.

Moreover, the hardware configuration shown in FIG. 1 is merely an example for achieving the object of the present invention, and is not particularly limited.

Also, the functional block diagram shown in FIG. 2 is merely an example and is not particularly limited. That is, it is sufficient that the server 1 has a function capable of executing the above-described series of processes as a whole, and what kind of functional blocks are used to realize this function is not particularly limited to the example in FIG.

Also, the locations of the functional blocks are not limited to those shown in FIG. 2, and may be arbitrary.
Also, one functional block may be composed of hardware alone, software alone, or a combination thereof.

When the processing of each functional block is to be executed by software, a program constituting the software is installed in a computer or the like from a network or a recording medium.
The computer may be a computer built into dedicated hardware. Also, the computer may be a computer capable of executing various functions by installing various programs, such as a server, a general-purpose smart phone, or a personal computer.

A recording medium containing such a program is not only constituted by the removable medium 21 of FIG. It consists of a recording medium, etc. provided to The removable medium 21 is composed of, for example, a magnetic disk (including a floppy disk), an optical disk, or a magneto-optical disk. Optical discs are composed of, for example, CD-ROMs (Compact Disk-Read Only Memory), DVDs (Digital Versatile Disks), and the like. The magneto-optical disk is composed of an MD (Mini-Disk) or the like. Also, the recording medium provided to the user in a state of being pre-installed in the apparatus body is composed of, for example, the ROM 12 in FIG. 1 in which the program is recorded, the hard disk included in the storage section 18 in FIG. 1, or the like.

In this specification, the steps of writing a program recorded on a recording medium are not only processes that are performed chronologically in that order, but also processes that are not necessarily chronologically processed, and that are performed in parallel or individually. It also includes the processing to be performed.
Further, in this specification, the term "system" means an overall device composed of a plurality of devices, a plurality of means, or the like.

In summary, the information processing apparatus to which the present invention is applied only needs to have the following configuration, and can take various embodiments.
That is, an information processing apparatus to which the present invention is applied (for example, the server 1 in FIG. 1, etc.)
Rest information, including rest places and rest times, based on compliance restrictions imposed on the driver of a moving object that transports specified goods on a transportation route that moves from a departure point to an arrival point. A break content determination means (for example, the break content determination unit 63 in FIG. 2) that determines one or more of
Any information processing device provided with the above is sufficient.
As a result, it is possible to provide a technology capable of determining the contents of a break, etc., taking into consideration the compliance restrictions of the driver.

Further, the information processing device described above
A route determination means (for example, the route determination unit 61 in FIG. 2) for determining the transportation route,
You may make it provide further.
Thereby, the information processing device described above can determine the transportation route. Further, the information processing device described above can also determine a new transportation route in consideration of the determined contents such as rest.

Further, the transportation route may be a route determined when the moving body currently transporting the predetermined article accepts additional transportation of an article other than the predetermined article.
As a result, when the moving body accepts the addition of the transportation of a new article, it is possible to accept the addition of the transportation of the new article. Furthermore, when a new article is received, a new transportation route can be determined while considering the driver's compliance.

DESCRIPTION OF SYMBOLS 1... Server 11... CPU 61... Route determination part 62... Goods addition reception part 63... Content determination part, such as a break, 64... Display control part, 300...・Restriction information DB

Claims (5)

Restrictions on compliance, including daily working hours and rest hours, imposed on the driver of a moving vehicle that transports specified goods on the transportation route that moves from the departure point to the arrival point, and the transportation route means for determining rest contents, etc., for individually determining a rest place and rest time, and a rest place and rest time, based on the travel time of the moving object and the delivery date for the moving object to arrive at the arrival point;
prepared ,
The means for determining the content of the rest, etc.
determining whether or not the moving time of the moving object exceeds the working time;
If it is determined that it does not exceed, determine that there is no resting place and that the resting time is 0,
If it is determined that it will exceed the working hours, a predetermined place between the departure point and the arrival point where the moving object can move within a time not exceeding the working hours is determined as the resting place, and the driver is instructed to The time imposed as the compliance limit is determined as the rest time, the transportation route on the first day is set from the departure point to the resting place, and the transportation route on the second day is from the resting place to the arrival point. set up a new transport route,
Determining 0 or more resting places and resting times within the transportation route;
Information processing equipment. The rest content determination means further determines a waiting time,
The information processing device according to claim 1 . The rest content determination means further determines the restraint time,
The information processing device according to claim 1 . The transportation route is a route that is determined when the moving object currently transporting the predetermined item accepts the addition of transportation of an item other than the predetermined item.
The information processing apparatus according to any one of claims 1 to 3 . The transportation route is a route that includes at least one base and one warehouse out of a plurality of bases for receiving or delivering the predetermined article from the user and a plurality of warehouses for storing the predetermined article.
The information processing apparatus according to any one of claims 1 to 4 .

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