JP2002073751A - Device and method for planning supply plan, and program for planning supply plan - Google Patents

Abstract

PROBLEM TO BE SOLVED: To rapidly set up a production plan to perform the production of commodities at a lower cost. SOLUTION: Based on the requested number of products Xi(t) of a commodity (i), the sum of the planned number of products Yij(t) in production lines (j) and the number of personnel Zj3k(t) required for producing the planned number of products Yij(t) in the production lines (j), a tact time Zj4(t), an over time Zj1(t), direct working times on holidays Zj2(t), and number of personnel Zj3k(t) are set up initially (S100 to S108). Evaluation loss as the cost requiring to produce the commodities (i) by the requested number of products Xi(t) by successively changing the number of personnel Zj3k(t), sum thereof, and planed number of products Yij(t) at with increments at prescribed intervals is calculated (S110 to S122). Then, a set value with the smallest evaluation value is output as a planned commodity supply value (S124, S126). According to these processings, a production plan capable of performing the production of the commodities at a low cost can be established rapidly.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a supply planning device, a supply planning method, and a supply planning program, and more particularly to the supply of goods or services at a plurality of supply bases capable of supplying goods or services. The present invention relates to a supply planning device for preparing a plan, a method for preparing the same, and a program for preparing such a supply plan.

[0002]

2. Description of the Related Art Conventionally, as a supply planning device of this kind, there has been proposed a device which finely totals various cost and cost items related to the production of a product (for example, Japanese Patent Application Laid-Open No. 11-3)
No. 53375). This device calculates and outputs man-hours, the number of personnel, costs and the like required for product production based on various kinds of subdivided data such as line data, component data, man-hour data, and reference cost data.

[0003]

However, it is difficult for such a supply planning device to formulate a production plan for a product with the lowest cost. Simply calculating the man-hours, the number of personnel, costs, etc., required for product production based on various types of subdivided data will reduce the production cost of the product and determine the production volume of the required product on which line. It is not possible to plan what kind of personnel should be used and how many personnel should be used. It is possible to input multiple conditions by human input work, obtain multiple calculation results, output multiple product production costs, and select the condition with the lowest product production cost among them. It takes a lot of time and the result obtained does not mean that the production cost of the product is the lowest.

An object of a supply planning device and a supply planning method of the present invention is to provide a supply plan for supplying goods and services at lower cost. Another object of the supply planning device and the supply planning method of the present invention is to quickly prepare a low-cost supply plan for a product or service. It is an object of the present invention to provide a supply planning program for causing a computer to function as a supply planning device for quickly preparing a supply plan for supplying goods and services at lower cost.

[0005]

Means for Solving the Problems and Actions and Effects Thereof The supply planning device, the supply planning method and the supply planning program of the present invention include the following means for achieving at least a part of the above objects. Was taken.

A supply planning device according to the present invention is a supply planning device for preparing a supply plan of goods or services at a plurality of supply bases capable of supplying goods or services, and supplies goods or services per unit. Data storage means for storing the unit supply man-hour data relating to the number of personnel and time required for each unit, the cost data per unit personnel type relating to the cost per unit for each personnel type, and the required supply quantity of the whole goods or services Required supply number input means, supply number distribution means for distributing the input required supply number to the base supply number which is the supply number from each supply base based on the distribution parameter, and supply number distribution means for the distributed base supply number. Based on the unit supply man-hour data stored in the data storage means, a base supply man-hour required to supply a product or service is determined. Means for setting the number of personnel for each type of personnel for processing the calculated base supply man-hours based on personnel parameters, the number of personnel for each type of personnel set by the personnel setting means, and the data Cost calculation means for calculating the total cost when supplying the supply number of bases from the plurality of supply bases based on the unit personnel type-based cost data stored in the storage means; the distribution parameter and the personnel parameter; And a total number calculated by the cost calculating means using the number of personnel for each type of personnel set by the personnel setting means in accordance with the change of the distribution parameter and the personnel parameter by the parameter changing means. And selecting the distribution parameter and the personnel parameter that minimize the total cost of the Plan setting means for setting, as a supply plan, a base supply number distributed by the supply number distribution means using parameters and personnel parameters, and the number of personnel for each type of personnel at each supply base set by the personnel setting means. The gist is to provide.

In the supply planning device according to the present invention, the distribution parameter used when the required supply number is distributed by the supply number distribution means to the number of base supply, which is the supply number from each supply base, and the base supply by the personnel setting means. A distribution parameter that minimizes the overall cost among the overall costs calculated by sequentially changing the personnel parameters used when setting the number of personnel for each type of personnel that processes the base supply man-hours corresponding to the number. A staff parameter is selected, and the number of base supplies to be distributed using the selected distribution parameter and the staff parameter, and the set number of personnel for each staff type at each supply base are set as a supply plan. As a result, the supply of the required number of goods or services can be planned as a supply plan with a lower overall cost.

In the supply planning device according to the present invention, the parameter changing means may be means for changing the distribution parameter within a supply range of each supply base. In this way, a supply plan can be made within the supply range of each supply base. In the supply planning device according to the aspect of the present invention, the suppliable range is a range including a steadily suppliable range that can be supplied by a routine operation and an unsteady suppliable range that can be supplied by an irregular operation. The cost data by type is the cost data by unit type for regular work related to the cost per unit by the personnel type in the regular work, and the cost data by unit type for the non-regular work related to the cost per unit by the work type in the irregular work. The data may include the following. In this way, it is possible to formulate a supply plan that reduces the overall cost in consideration of the regular work and the irregular work. Further, in the supply planning device according to the aspect of the present invention, the unsteady supplyable range is a range including an overtime supplyable range that can be supplied by overtime and a restable supplyable range that can be supplied by going to work on a holiday. The cost data per unit type for the unusual work unit is the cost data per unit type for overtime work per unit type and the cost data per unit type for overtime work and the leave unit per unit type for cost on holiday work. It may be data including cost data. In this way, it is possible to further consider the non-routine work due to overtime work and the work due to work on holidays.

Further, in the supply planning device according to the present invention, the parameter changing means may be means for changing a ratio of each type of personnel as one of the personnel parameters. In this way, it is possible to formulate a supply plan with a lower overall cost in consideration of the ratio of each type of personnel. In the supply planning device according to the aspect of the present invention, the personnel type includes a regular personnel and a plurality of types of temporary personnel, and the parameter changing unit changes the composition ratio of the plurality of types of temporary personnel to change each of the personnel. It may be a means for changing the type ratio. In this way, the regular staff can be treated as fixed costs, and the cost impact of the temporary staff can be reflected in the fluctuation of the overall cost.

Further, in the supply planning device according to the present invention, the parameter changing means may be means for changing the total number of personnel at each supply base as one of the personnel parameters. In this way, the change in the overall cost can be reflected in the change in the overall cost, such as the amount of overtime or the amount of work on holidays. In the supply planning device of this aspect of the present invention, the parameter changing means may be means for changing the total number of personnel at the supply base within a range of changing the number of personnel at each supply base.

Alternatively, in the supply planning device according to the present invention, the parameter changing means may be means for sequentially changing the parameter at a predetermined interval set for each parameter. In this way, it is possible to draft a plan more quickly than in the case where each parameter is sequentially changed for all changeable values.

Further, in the supply planning device according to the present invention, the plurality of supply bases are production lines for producing a product, and the unit supply man-hour data is the number of personnel, time, and the number of persons required to produce one product. The data may be data relating to In this way, the supply plan with the minimum overall cost can be formulated as the production plan for the product with the minimum overall production cost.

In addition, in the supply planning device according to the present invention, the plurality of supply bases are bases that provide a predetermined service, and the unit supply man-hour data is the number of personnel required to provide the predetermined service at one time. And time data. In this way, the supply plan with the minimum overall cost can be formulated as the service provision plan with the minimum total service cost.

The supply planning program according to the present invention comprises:
The gist of the present invention is to cause a computer to function as the supply planning device of the present invention in any of various aspects.

According to the supply planning program of the present invention, a computer can be made to function as the supply planning device of any of various aspects of the present invention.

The supply planning method of the present invention is a supply planning method for preparing a supply plan of goods or services at a plurality of supply bases capable of supplying goods or services. The supply number is sequentially changed by distributing parameters and distributed to the base supply number, which is the supply number from each supply base, and (b) the base supply man-hour required for supplying the distributed base supply number of goods or services. Is calculated based on the unit supply man-hour data relating to the number of personnel and time required for supplying goods or services per unit, and the number of personnel for each type of personnel who processes the computed base supply man-hour is sequentially changed. (C) Cost data by unit personnel type relating to the set number of personnel by personnel type and the cost per unit by personnel type It calculates the overall cost of the time of supply of the base supply quantity from said plurality of supply base based on,
(D) selecting a distribution parameter and a personnel parameter that minimize the overall cost calculated in accordance with the change of the distribution parameter and the personnel parameter, and distributing using the selected distribution parameter and the personnel parameter; The point is that the number of supply sites to be supplied and the number of personnel for each type of personnel at each supply site to be set are set as a supply plan.

According to the supply planning method of the present invention,
The distribution parameters and the personnel parameters are sequentially changed to calculate the distribution parameters and the personnel parameters that minimize the overall cost, and the number of base supplies to be distributed using the selected distribution parameters and the personnel parameters. Since the set number of personnel for each type of personnel at each supply base is set as a supply plan, it is possible to formulate a supply plan that minimizes the total cost of supplying goods or services.

In the supply planning method according to the present invention, the step (a) may be a step of changing the distribution parameter within a supplyable range of each supply base. In this way, a supply plan can be made within the supply range of each supply base. In the supply planning method according to the aspect of the present invention, the suppliable range is a range including a regular suppliable range that can be supplied by a regular operation and an unsteady suppliable range that can be supplied by an irregular operation. The cost data by type is the cost data by unit type for regular work related to the cost per unit by the personnel type in the regular work, and the cost data by unit type for the non-regular work related to the cost per unit by the work type in the irregular work. The data may include the following. In this way, it is possible to formulate a supply plan that reduces the overall cost in consideration of the regular work and the irregular work. Further, in the supply planning method of the present invention according to this aspect, the unsteady supplyable range is a range including an overtime supplyable range that can be supplied by overtime and a restable supplyable range that can be supplied by going to work on a holiday. The cost data per unit type for the unusual work unit is the cost data per unit type for overtime work per unit type and the cost data per unit type for overtime work and the leave unit per unit type for cost on holiday work. It may be data including cost data. In this way, it is possible to further consider the non-routine work due to overtime work and the work due to work on holidays.

Further, in the supply planning method of the present invention, the step (a) may be a step of sequentially changing the distribution parameter at a predetermined step size. In this case, a supply plan can be quickly drafted.

Further, in the supply planning method of the present invention, the step (b) may be a step of changing a ratio of each type of personnel as one of the personnel parameters. In this way, it is possible to formulate a supply plan with a lower overall cost in consideration of the ratio of each type of personnel. In the supply planning method according to the aspect of the present invention, the personnel types include regular personnel and a plurality of types of temporary personnel, and the step (b) comprises changing the composition ratio of the plural kinds of temporary personnel to change each of the personnel types. It may be a step of changing the ratio of the personnel types. In this way, the regular staff can be treated as fixed costs, and the cost impact of the temporary staff can be reflected in the fluctuation of the overall cost.

Alternatively, in the supply planning method of the present invention, the step (b) may be a step of changing the total number of personnel at each supply base as one of the personnel parameters. In this way, the change in the overall cost can be reflected in the change in the overall cost, such as the amount of overtime or the amount of work on holidays. In the supply planning method of the present invention according to this aspect, the step (b) may be a step of changing the total number of personnel at the supply base within a range of changing the number of personnel at each supply base.

In the supply planning method according to the present invention, the step (b) may be a step of sequentially changing the personnel parameters at a predetermined step size. In this way, a supply plan can be drafted more quickly.

[0023]

Next, embodiments of the present invention will be described with reference to examples. FIG. 1 is a configuration diagram showing, as functional blocks, a schematic configuration of a product supply planning device 20 according to an embodiment of the present invention, and FIG. 2 is a configuration illustrating a hardware configuration of the product supply planning device 20 of the embodiment. FIG.

As shown in FIG. 2, the commodity supply planning device 20 of the embodiment has a hardware configuration as a general-purpose computer centered on a CPU 42 as a central processing unit. Bus 4 connected to CPU 42
Reference numeral 4 denotes a cache memory 46, its cache controller 48, a main memory 50, a graphics controller 52 to which a CRT 54 is connected, and a keyboard interface 5 to which a keyboard 58 and a mouse 60 are connected.
6, Hard disk drive 64 and floppy (registered trademark)
The input / output interface 62 to which the disk device 66 and the like are connected is connected.

Further, the commodity supply planning device 20 of the embodiment
As shown in FIG. 1, the functional blocks include a data storage unit 22 for storing various data and constraints, and a data input unit 24 for inputting various data and the number of requested supplies.
And a supply number distribution unit 26 that distributes the required supply number to each supply base based on the distribution parameter, and sets the personnel required to supply the base supply number distributed at each supply base using the personnel parameter. Personnel setting unit 28, distribution parameters used in supply number distribution unit 26, and personnel setting unit 2
A parameter changing unit 30 for sequentially changing the personnel parameters used in step 8, and a cost for calculating the total cost required to supply the required number of supplies from each supply base based on the personnel set by the personnel setting unit 28 A calculation unit 32, a plan setting unit 34 for selecting the distribution of the number of supplies to minimize the overall cost and setting of the personnel and setting the product supply plan value, and a plan output unit 36 for outputting the set product supply plan And
Each functional unit included in the product supply planning device 20 of the embodiment is realized by integrating the hardware configuration illustrated in FIG. 2 described above and software described later.

The data storage unit 22 stores a unit supply man-hour Sij [person / hour / hour] expressed as a product of the number of personnel required to produce the product i per unit on the production line j and time.
Units] and the production number Aj (t) of the production line j in t months
[Direct / month], data for product production on the production line j of the product i, such as the regular operating time Tj [hour / direct] for the direct hit on the production line j, regular employees, contract employees, temporary employees, and temporary employees. Cost C0k [yen / person / hour] per man-hour during regular operation of personnel type k such as part, Cost C1k [yen / person-hour] per man-hour during overtime of personnel type k,
Cost per man-hour during work on holidays for staff type k C2k
Cost data by personnel type such as [yen / person / hour], product i
Planned production amount Yij for t month on production line j
(T) Data on change of distribution parameters such as changeable range Ly of [vehicle / month] and step size zy [veh / hour] when changing planned production number Yij (t), The changeable range L1 of the overtime hours Zj1 (t) [hours / shifts] and the step width z1 [hours / shifts] when changing the overtime hours Zj1 (t), and the direct hit of the production line j in t months The changeable range L2 of the number of direct shifts Zj2 (t) [direct / month] as the direct number when going to work on a holiday, the step width z2 [direct / month] when changing the direct shift number Zj2 (t), etc. Data on overtime and work on holidays, changeable range L3 of total number of employees Zj3k (t) [persons] in t-months of production line j of personnel type k
For changing the parameter of the personnel such as the changeable range Lk of the number of personnel and the number of personnel Zj3k (t) and the step width z3 [person] when the number of personnel Zj3k (t) is modified, the production line j
And data on other constraint conditions such as the changeable range L4 of the tact time Zj4 (t) [hour / unit] of t month and the step width z4 [hour / unit] when changing the tact time Zj4. I have. Each of these data is input by the data input unit 24 such as the keyboard 58.

The supply number distribution unit 26 includes a data input unit 24
The required production quantity Xi (t) [vehicle / month] as the required supply quantity of the product i in the planning target month t is input as the respective supply bases based on the initial value and the distribution parameter changed by the parameter changing unit 30. Is distributed to the planned production number Yij (t) of each production line j. In the embodiment, as the distribution parameter, the value at the time of the plan value at the time of the previous plan is used as the initial value. For example, in the case of a rolling plan in which a product supply plan for the previous January to March is made and a product supply plan for the current February to April is made, the previous value is used as the distribution parameter for February and March. The distribution parameter for April may use the value of March of the previous month. Here, the use of the previous value means that the required production quantity Xi (t) [vehicle / month] changes every month, and thus means the same proportional distribution as the previous time. In the embodiment, the previous value is used as the initial value of the distribution parameter. However, a predetermined initial value may be used.

The personnel setting unit 28 obtains a unit supply man-hour Sij [person / hour / unit] for each production line j based on the production number plan value Yij (t) distributed by the supply number distribution unit 26, and sets an initial value. And the overtime hours Zj1 (t) per t month of the production line j, the number Zj2 (t) at work on holidays, and the t of the production line j of the personnel type k, based on the changed personnel parameters and each constraint condition. Monthly staffing number Zj3k
(T), tact time Zj4 (t) and the like are set. The setting method will be described later.

In the cost calculation section 32, the supply number distribution section 26
Production quantity Xi (t) distributed to each production line j at
And the overtime hours Zj1 (t) per t month of the production line j set by the personnel setting unit 28 and the number of shifts Zj2
(T), the number of personnel Z of the production line j of the personnel type k in t months
j3k (t), the tact time Zj4 (t), the cost C0k per man-hour during regular operation of the personnel type k stored in the data storage unit 22, and the cost C1 per man-hour during overtime work
The cost is calculated using the following formula (1) as a general formula and a specific formula (2) as a specific example based on the cost data for each type of personnel, such as k, the cost per man-hour C2k at work on holidays. Equation (2) replaces the personnel type k with k '
Is used. This k 'means that only k for which the scheduled operation is recorded as a variable cost is used. That is,
Regular employees are paid a fixed amount of salary regardless of whether they are operating or not, so this amount is treated as fixed cost and not included in the evaluation formula. If the staff type k is used instead of k ', the entire cost including the fixed cost is calculated.

[0030]

(Equation 1)

The plan setting unit 34 is a distribution parameter and a personnel parameter which are minimum evaluation values among the evaluation values calculated by the cost calculation unit 32 using the evaluation formula when the distribution parameters and the personnel parameters are changed by the step size. And the required production number Xi (t) distributed to the production line j calculated using
And the overtime hours Zj1 (t) per t month of the production line j set by the personnel setting unit 28 and the number of shifts Zj2
(T), the number of personnel Z of the production line j of the personnel type k in t months
j3k (t) and tact time Zj4 (t) are set as the commodity supply plan values. Then, the plan output unit 36 outputs the commodity supply plan value set by the plan setting unit 34 to the CRT 5.
4 and so on.

Next, the operation of the merchandise supply plan drafting apparatus 20 of the embodiment configured as described above will be described based on the commodity supply plan drafting processing routine of FIG. When this routine is executed, the CP of the commodity supply planning device 20 of the embodiment is
The U42 first inputs the required production number Xi (t) (step S100), and based on the distribution parameter set with the input required production number Xi (t) as an initial value, each production line j as each supply base j. Is initially distributed to the planned production number Yij (t) in (step S102). The initial distribution of the required production number Xi (t) to the production number plan value Yij (t) has been described above. Note that the required production quantity X
It goes without saying that the distribution of i (t) to the planned production number Yij (t) is performed so that the sum of the planned production numbers Yij (t) of each production line j becomes equal to the required production number Xi (t). No.

Subsequently, t of the production line j of the personnel type k
The sum of the number of monthly personnel Zj3k (t) is set. The setting of the sum of the number of personnel Zj3k (t) is based on the number of personnel Zj3 described above.
This is performed using the changeable range L3 of the total sum of k (t) and the following equation (3). Here, equation (3) is derived from equations (4) and (5). Here, the equation (4) is obtained by multiplying the reference time of the number of products calculated for each product produced on each production line j, and multiplying the total number of personnel put into the production line j in the month by the total operation time. And the total operation time is derived from the fact that the total operation time is equal to the regular operation time plus the time for overtime work and work on holidays. It is derived from the fact that the number is equal to the total operating time of the production line divided by the time required for the production of the product, ie the takt time.

[0034]

(Equation 2)

Referring to equation (3), since the planned production number Yij (t) is set in step S102, the variable not set is the sum of the tact time Zj4 (t) and the number of personnel Zj3k (t). It is. Here, the tact time Z
j4 (t) is the value of the previous month, that is, the tact time Zj4 (t−
Initialize using 1). Then, since the unknowns in Equation (3) are only the sum of the number of personnel Zj3k (t), the sum of the number of personnel Zj3k (t) can be set. The process of step S104 is a process based on a method of setting the total sum of the number of personnel Zj3k (t).

Next, the overtime hours Zj1 (t) and the number of immediate shifts Zj
2 (t) is set (step S106). In the above equation (5), the planned production number Yij (t) and the tact time Zj4 (t) are set, so that the overtime hours Zj
If one of 1 (t) and the number of rests Zj2 (t) is set, the other is set by equation (5). Overtime hours Zj1
(T) and the number of rests Zj2 (t) can be changed L
1, L2 may be set. However, since there is usually a relationship of the cost of rest> the cost of overtime, in this embodiment, the overtime time Zj1 (t) is first set to the maximum within the changeable range L1. And the remainder is calculated from equation (5) as Z
j2 (t). In the case of the relationship of the cost of rest <the cost of overtime, the number of immediate breaks Zj2 (t) is set to be the maximum within the changeable range L2 by the reverse method, and the remainder is expressed by the formula ( 5) From overtime hours Zj
It may be set as 1 (t). In the relationship of the cost of rest = the cost of overtime, any method may be used, or the overtime hours Zj1 (t) and the number of immediate work Zj2 (t) may be treated as one parameter.

Then, the number of personnel Zj3k (t) is set (step S108). The number of personnel Zj3k (t) is such that the total cost of the number of personnel Zj3k (t) is equal to a set value, and the type of personnel in which the cost of the regular operation is treated as a fixed cost, and the cost C0k per man-hour during the regular operation are small. The changeable range L of each personnel type in the priority order of the personnel type, the personnel type with a small cost C1k per man-hour when working overtime, and the personnel type with a small cost C2k per man-hour when working on holidays
It is set by applying the maximum value within the range of k. That is, the overtime work is allocated after the fixed time is allocated, and the shortage is allocated as the holiday attendance.
This priority is applied to the highest priority since the portion treated as a fixed cost does not fluctuate, and also takes into account the relationship between the cost of rest and the cost of overtime. Therefore, if the cost of leave is less than the cost of overtime, a personnel type with a small cost C2k per man-hour at work on holidays has priority over a personnel type with a small cost C1k per man-hour during overtime.

When the number of personnel Zj3k (t) is set in this way, the evaluation value is calculated using the above-mentioned equation (2), and the set value and the evaluation value are stored in a storage device such as the hard disk device 64. (Step S110).

Then, the number of personnel Zj3k (t) is calculated by the step width z.
3 (step S112), the calculation of the evaluation value using equation (2) using the changed number of personnel Zj3k (t), and the storage processing of each set value and the evaluation value (step S1)
10) is repeated until the change of the number of personnel Zj3k (t) by the step width z3 is completed (step S114). By such processing, each set value and evaluation value of the number of personnel Zj3k (t) for each step width z3 are stored in the hard disk device 64.

When the repetition processing accompanying the change in the number of personnel Zj3k (t) is completed, the total of the number of personnel Zj3k (t) is changed by changing the tact time Zj4 (t) by the step width z4 (step S116). Number of personnel Zj3k
Steps S106 to S106 until the change of the sum of (t) is completed.
Step S118 is repeated. In the process of step S104, by setting the tact time Zj4 (t-1), which is the value of the previous month, as the tact time Zj4 (t), the total sum of the number of personnel Zj3k (t) is set from Expression (3). Therefore, in the processing of step S116, the tact time Z
By changing the tact time Zj4 (t) within the changeable range L4 of j4 (t) with a step width z4, the total sum of the number of personnel Zj3k (t) is changed. In the processing of steps S106 to S118, the number of personnel Zj3k
Since the repetition process (steps S110 to S114) accompanying the change in the step width z3 of (t) is included, the number of personnel Z
Each time the total sum of j3k (t) is changed, the number of personnel Zj3k
The process of calculating the evaluation value by changing (t) by the step size z3 and storing the calculated evaluation value and each set value are repeatedly executed.

When the repetitive processing according to the change of the total number of personnel Zj3k (t) is completed, the planned production number Yij
(T) is changed by the step size zy (step S120), and the processing of steps S104 to S122 is repeated until the change of the production number plan value Yij (t) is completed. The change of the planned production number Yij (t) by the step size zy is performed within a range that satisfies the condition that the total sum of the production number planned value Yij (t) regarding the product i is equal to the required production number Xi (t). Since the processes of steps S104 to S122 include a repetition process (steps S106 to S118) accompanying the change of the total number of personnel Zj3k (t), the number of personnel Zj3k is changed every time the planned production number Yij (t) is changed.
The repetition processing accompanying the change of the sum of (t) is repeatedly executed.

When the repetitive processing according to the change of the planned production number Yij (t) is completed, the smallest evaluation value among the evaluation values stored in the hard disk drive 64 is selected and set when the evaluation value is calculated. Set values, that is, the planned production number Yij (t), overtime hours Zj1
(T), number of off-shifts Zj2 (t), number of personnel Zj3k
(T), the tact time Zj4 (t) is set as a commodity supply plan value (step S124), and the set commodity supply plan value is output to the CRT 54 or the like (step S12).
6), end this routine.

According to the product supply planning device 20 of the embodiment described above, an evaluation value, that is, a product supply plan with a minimum cost, that is, a product production plan can be prepared. In addition, since the change of the variable is changed within a changeable range using a predetermined step size and is repeatedly processed, a plan can be drafted more quickly than in a case where the change is performed for each unit without a step size. .

In the commodity supply planning device 20 of the embodiment,
For ease of explanation, a supply plan has been described in which a product i is produced and supplied on a plurality of production lines j. However, a product plan for producing and supplying a plurality of products i on a plurality of production lines j is described. Of course, it can be applied. FIG. 4 shows a conceptual diagram in the case where a plurality of products i are produced and supplied on a plurality of production lines j.

In the commodity supply planning device 20 of the embodiment,
Although the unit t of the supply plan is the month unit, the supply plan may be made in any period. For example, a supply plan may be made in units of weeks, or a supply plan may be made in units of seasons.

As one of the embodiments of the present invention, the product supply planning device 20 for preparing a product supply plan for producing and supplying products on a plurality of production lines has been described. The present invention may be applied to a service supply planning device that drafts a service supply plan to be supplied from a company. The services include those that intervene with goods such as repair of products and parts and those that do not intervene with goods such as provision of human services. In this case, the required production quantity Xi (t) is replaced with the required service provision quantity of the service i in the plan target month t, and the production quantity plan value Y
ij (t) may be replaced with the planned number of services provided at each service base.

Although the embodiment of the present invention has been described using the product supply planning device 20, the present invention may be applied to any product using a planning method similar to the product supply planning process routine illustrated in FIG. 3. Any method may be used, or a computer-readable program that causes a computer to function as the product supply planning device 20 of the embodiment or a modification thereof. Needless to say, CD-ROMs and DVs storing these programs
It may be a storage medium such as a D-ROM.

The embodiments of the present invention have been described with reference to the embodiments. However, the present invention is not limited to these embodiments, and various embodiments may be made without departing from the gist of the present invention. Of course, it can be carried out.

[Brief description of the drawings]

FIG. 1 is a configuration diagram shown as functional blocks.

FIG. 2 is a configuration diagram illustrating a hardware configuration of a product supply planning device 20 according to the embodiment;

FIG. 3 is a flowchart illustrating an example of a product supply planning process routine executed by the product supply planning device 20 according to the embodiment;

FIG. 4 is a conceptual diagram illustrating the concept of a supply plan when a plurality of products i are produced and supplied on a plurality of production lines j.

[Explanation of symbols]

20 Commodity supply planning device, 22 Data storage unit, 2
4 data input section, 26 supply number distribution section, 28 personnel setting section, 30 parameter change section, 32 cost calculation section,
34 plan setting unit, 36 plan output unit, 42 CPU,
44 bus, 46 cache memory, 48 cache controller, 50 main memory, 52 graphics controller, 54 CRT, 56 keyboard interface, 58 keyboard, 60 mouse, 6
2 input / output interface, 64 hard disk drives,
66 Floppy disk drive.

 ──────────────────────────────────────────────────続 き Continued on the front page (72) Inventor Toshihiro Nakamura 1 Toyota Town, Toyota City, Aichi Prefecture Inside Toyota Motor Co., Ltd. (72) Eiji Kojima 1 Toyota Town, Toyota City, Aichi Prefecture Toyota Motor Corporation F Terms (Reference) 5B049 BB07 CC21

Claims (22)

[Claims] Claims 1. A supply planning device for planning supply of goods or services at a plurality of supply bases capable of supplying goods or services, comprising: a number of personnel and a time required to supply the goods or services per unit; Data storage means for storing unit supply man-hour data relating to the above, and unit personnel type cost data relating to the cost per unit for each personnel type, and a required supply quantity input means for inputting a required supply quantity of the whole goods or services. Supply number distribution means for distributing the input required supply number to the base supply number, which is the supply number from each supply base, based on the distribution parameter; and supplying the distributed base supply number of goods or services. And a calculation based on the unit supply man-hour data stored in the data storage means. The number of personnel for each type of personnel that processes the supplied base supply man-hours based on the personnel parameters; and the number of personnel for each type of personnel set by the personnel setting means and stored in the data storage means. Cost calculation means for calculating the total cost when supplying the number of supply bases from the plurality of supply bases based on the unit personnel type-based cost data, and a parameter change for sequentially changing the distribution parameters and the personnel parameters Means, and the total cost calculated by the cost calculating means using the number of personnel for each type of personnel set by the personnel setting means in accordance with the change of the distribution parameter and the personnel parameter by the parameter changing means. The distribution parameter and the personnel parameter that minimize the cost of the distribution are selected, and the selected distribution parameter and the personnel parameter are selected. And a plan setting means for setting, as a supply plan, the number of base supplies distributed by the supply number distribution means using the supply number and the number of personnel for each type of personnel at each supply base set by the personnel setting means. Planning equipment. 2. The supply planning device according to claim 1, wherein the parameter changing unit changes the distribution parameter within a supplyable range of each supply base. 3. The supply planning device according to claim 2, wherein the suppliable range includes a steadily suppliable range that can be supplied by a regular operation and an unsteady suppliable range that can be supplied by an irregular operation. The cost data by unit personnel type in the regular work, the cost data by unit personnel type for regular work related to the cost per unit by the personnel type in the regular work, and the non-work data related to the cost per unit by the personnel type in the irregular work. A supply planning device, which is data including regular business unit personnel type cost data. 4. The supply planning device according to claim 3, wherein the unsteady supplyable range includes an overtime supplyable range that can be supplied by overtime and a restable supplyable range that can be supplied by working on holidays. The above-mentioned cost data by unit for the irregular work unit personnel type is the cost data by unit type for overtime work related to the cost per unit by the type of staff in overtime, and the cost data by unit type by the type of staff during work on holidays. A supply planning device, which is data including unit cost type data for unit personnel for rest. 5. The supply planning device according to claim 1, wherein the parameter changing unit changes a ratio of each type of personnel as one of the personnel parameters. 6. The supply planning device according to claim 5, wherein the staff type includes a regular staff and a plurality of types of temporary staff, and the parameter changing unit includes a composition ratio of the plurality of temporary staffs. The supply planning device is a means for changing the ratio of each type of personnel by changing the number of persons. 7. The supply planning device according to claim 1, wherein the parameter changing unit changes a total number of personnel at each supply base as one of the personnel parameters. 8. The supply planning device according to claim 7, wherein said parameter changing means is means for changing the total number of personnel at the supply base within a range of changing the number of personnel at each supply base. 9. The supply planning device according to claim 1, wherein said parameter changing means is means for sequentially changing the parameter at a predetermined step size set for each parameter. 10. The supply planning device according to claim 1, wherein the plurality of supply bases are production lines for producing goods, and the unit supply man-hour data is for producing one commodity. A supply planning device that is data on the number of personnel and the time required to do so. 11. The supply planning device according to claim 1, wherein the plurality of supply bases are bases that provide a predetermined service, and the unit supply man-hour data is a single predetermined supply man-hour. Supply planning device, which is data on the number of personnel and time required to provide the service of the present invention. 12. The computer according to claim 1, wherein
A supply planning program that functions as the supply planning device according to any of the above. 13. A supply planning method for preparing a supply plan of goods or services at a plurality of supply bases capable of supplying goods or services, comprising: (a) determining a required supply number of goods or services by sequentially assigning distribution parameters; (B) changing the base supply man-hours required to supply the distributed base supply quantity of goods or services to the base supply quantity, which is the supply quantity from each supply base; Calculating based on the unit supply man-hour data relating to the number of manpower and time required for supply, and setting the manpower for each manpower type for processing the calculated base supply manhour by sequentially changing the manpower parameters, (c The plurality of supplies based on the set number of personnel for each type of personnel and the cost data for each type of personnel relating to the cost per unit for each type of personnel. Calculating the total cost when supplying the number of base supplies from the base; and (d) the distribution parameter and the personnel parameter, which are calculated in accordance with the change of the distribution parameter and the personnel parameter, so that the total cost is minimized. And setting the number of base supplies distributed using the selected distribution parameters and personnel parameters and the number of personnel for each type of personnel at each supply base to be set as a supply plan. 14. The supply planning method according to claim 13, wherein said step (a) is a step of changing said distribution parameter within a supplyable range of each supply base. 15. The supply planning method according to claim 14, wherein the suppliable range includes a steadily suppliable range that can be supplied by a regular operation and a non-stationary suppliable range that can be supplied by an irregular operation. The cost data by unit personnel type in the regular work, the cost data by unit personnel type for regular work related to the cost per unit by the personnel type in the regular work, and the non-work data related to the cost per unit by the personnel type in the irregular work. A supply planning method which is data including cost data for each unit type of personnel for regular business. 16. The supply planning device according to claim 15, wherein the unsteady supplyable range includes an overtime supplyable range that can be supplied by overtime and a restable supplyable range that can be supplied by working on a holiday. The above-mentioned cost data by unit for the irregular work unit personnel type is the cost data by unit type for overtime work related to the cost per unit by the type of staff in overtime, and the cost data by unit type by the type of staff during work on holidays. A supply planning method, which is data including cost data by unit personnel type for absence. 17. The supply planning method according to claim 13, wherein the step (a) is a step of sequentially changing the distribution parameter at a predetermined step size. 18. The supply planning method according to claim 13, wherein the step (b) is a step of changing a ratio of each personnel type as one of the personnel parameters. 19. The supply planning method according to claim 18, wherein the staff types include regular staff and a plurality of types of temporary staff, and the step (b) includes the configuration of the plurality of temporary staffs. A supply planning method in which the ratio of each of the personnel types is changed by changing the ratio. 20. The supply planning method according to claim 13, wherein the step (b) is a step of changing the total number of personnel at each supply base as one of the personnel parameters. 21. The supply planning method according to claim 20, wherein the step (b) is a step of changing the total number of personnel at the supply base within a range of changing the number of personnel at each supply base. 22. The supply planning method according to claim 13, wherein the step (b) is a step of sequentially changing the personnel parameters at a predetermined step size.