JPH09136245A - Evaluation method and evaluation device for production planning - Google Patents

Abstract

PROBLEM TO BE SOLVED: To evaluate production planning quantitatively by recalculating a due data adherence rate and a stock quantity, which are characteristic values in the different dimensions, in the same dimension. SOLUTION: In an evaluation method for production planning, as to production plans S4, S5, S6 made on the basis of a given order data S2, a total loss of a production loss S8, which is generated because of a deviation between a product due date based on the order data and a product due date based on the production planning, and a stock loss S7 due to stock generated because of the production planning is calculated, and then, the production planning is evaluated on the basis of the calculated total loss.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method and an evaluation device for evaluating a production plan designed based on given order data.

[0002]

2. Description of the Related Art Conventionally, as a method of making a production plan based on given order data, various planning methods such as a method of producing in order and a method of producing in order of delivery date have been used. And among these, which production plan is adopted has often depended on the experience and intuition of a conventional worker. However, customer preferences have diversified, the types of products ordered have increased, and it has been impossible to obtain a satisfactory production plan based on the experience and intuition of workers. Therefore, a method for evaluating the planned production plan is proposed in, for example, Japanese Patent Laid-Open No. 4-364571.
That is, for each product type included in the daily order data, a production lead time calculation unit that calculates the production lead time of the product type based on the intermediate work-in-process product of the product type and the ordered stock amount and the replenishment amount of the product, It has a delivery date compliance rate output unit that obtains a delivery date compliance rate by comparing the production lead time for each product type calculated from the production lead time with the delivery time of the product type. It also has an inventory quantity transition display unit.

[0003]

However, the conventional evaluation method has the following problems. That is, only the delivery date compliance rate and the inventory quantity transition are separately obtained and displayed, and in order to comprehensively determine the quality of the planned production plan, it is necessary to make a total determination of both.
However, regarding the comprehensive judgment of both, it still depends on the experience and intuition of the worker, and when multiple production plans are made for the same order data, each production plan is decided. It was difficult to select the optimal production plan because it could not be evaluated quantitatively.

The present invention has been made in order to solve such a problem, and the characteristic values having different dimensions such as the delivery date compliance rate and the stock amount are recalculated in the same dimension to quantitatively calculate the production plan. The purpose is to provide a method of evaluation.

[0005]

According to the method of evaluating a production plan of the present invention, a computer is used to prepare a production plan made on the basis of given order data, and the product delivery date of the order data and the production plan are used. A total loss including a production loss caused by a deviation from the production deadline and an inventory loss due to the inventory caused by the production plan is calculated, and the production plan is evaluated based on the calculated total loss. Further, the production planning evaluation method of the present invention is characterized in that, in the above method, a missing item loss due to a missing item of a component occurring in the production plan is calculated and included in the total loss. Further, the production plan evaluation method of the present invention is characterized in that, in the above method, each of the losses is multiplied by a predetermined coefficient to convert the total loss as a monetary amount. A computer-readable recording medium for executing the production plan evaluation method of the present invention stores a program for executing at least one of the above three evaluation methods.

Further, the production plan evaluation apparatus of the present invention uses a computer to compare the product delivery date of the order data and the production delivery date of the production plan with respect to the production plan made based on the received order data. Production loss calculation program for calculating production loss caused by deviation, inventory loss calculation program for calculating inventory loss due to inventory caused by production plan, total for calculating total loss of production loss and inventory loss It has a loss calculation program and output means for outputting the calculated total loss. further,
It is preferable that the evaluation device has a stockout loss calculation program for calculating a stockout loss due to stockout of a part that occurs in a production plan. Further, the total loss calculation program of the evaluation device may include a step of multiplying each of the losses by a predetermined coefficient and converting the total loss as a monetary amount.

[0007]

BEST MODE FOR CARRYING OUT THE INVENTION An embodiment of the production plan evaluation method of the present invention will be described in detail below with reference to the drawings. First, the hardware for implementing the production plan evaluation method will be described. FIG. 8 shows the hardware configuration. The evaluation device of the present embodiment is a personal computer 11, which is composed of a CPU 12 which is a calculation means and a disk 13 which is a data storage means. CPU 12
Includes a ROM for storing a program for implementing the production planning evaluation method according to the present invention, a RAM for temporarily storing data, and the like. The CPU 12 is also connected with an input / output terminal device 14 such as a keyboard, a CRT, and a printer which is an output unit of the evaluation device.

FIG. 7 shows the relationship of concrete means constituting the production plan evaluation method. The order input storage means 15 for inputting and storing the order data, and the order planning method selecting means 16 for selecting a production planning program to be evaluated from a plurality of production planning programs are provided in the production planning evaluation program 17. Connected. Further, a sequence planning method storage means 18 for inputting and storing a plurality of production planning programs, and a production pattern input storage means 19 for inputting and storing various parameters of the production process.
Is connected to the production plan evaluation program 17. Further, the evaluation result output means 20 for outputting the evaluation result
Is connected to the production plan evaluation program 17. A computer is used for the production plan evaluation program 17,
A production loss calculation program 171 for calculating a production loss caused by a deviation between the product delivery date of the order data and the production delivery date according to the production plan for the production plan created based on the given order data, and the production plan Inventory loss calculation program 172 for calculating the inventory loss due to the inventory generated due to the inventory loss, and the missing item loss calculation program 17 for calculating the inventory loss due to the lack of parts that occur in the production plan.
3 and a total loss calculation program 174 for calculating the total loss thereof are stored.

Next, the method of evaluating the production plan will be described with reference to FIG.
It will be described in detail based on the flowchart of FIG. (1) Input of Basic Data Input of basic data for the loss calculation shown in S1 will be described. The information that needs to be input as basic data is as follows. a) A processing program for each order plan for rearranging orders received from customers. b) Various parameter data that defines the production / parts procurement model. The production sequence planning program is the sequence planning method storage means 1.
8 is input and stored. Specifically, this is input from the input / output terminal device 14 via the CPU 12 to the disk 13
Is stored in The CPU 12 also executes the program of the production sequence plan. The program of the production order plan can be arbitrarily created, but in the present embodiment, three methods of the first-come-first-served method, the designated delivery date priority method, and the parts usage frequency leveling method will be described as an example. The details of these three methods will be described later.

Parameter data defining conditions of a production process for executing the next production plan are input and stored in the production pattern input storage means 19, and the specific means is the same as the program of the production sequence plan. . The following are production / parts procurement parameter data. -Production parameter data-a) Production plan drafting timing: T _O [hours] (T _O represents the current production plan drafting timing, T _-1 represents the previous production plan drafting timing, and T ₁ represents the next production plan It shows the planning timing.) B) Production operation pattern (setting of operation time and rest time of production process) c) Production capacity: MAX [pieces / hour] d) Number of types of products subject to production planning: P

-Parts Procurement Parameter Data-Parts procurement is premised on a method in which the amount of parts used is replenished after a predetermined delivery flight. Here, actual parts procurement is carried out several times a day by truck. a) the number of types of parts: Q b) parts i (1,2, ... i ... Q ) T O after, initial delivery timing: C _{O, i} [time] (C _{O, i} is the time the delivery timing , C _{-1, i} indicates the previous delivery timing, and C _{1, i} indicates the next delivery timing.) C) Replenishment delay number of parts i (1, 2, ... i ... Q): D _i
[Times] d) Component parts list for each product type (see Fig. 12)

Further, the parameter data for calculating the loss due to the inventory occurrence is as follows. -Loss calculation parameter data-a) Allowable stock quantity of component i (1,2, ... i ... Q): LZ _i
[Pieces] b) Coefficient for calculating loss as the number of parts i (1,2, ... i ... Q) exceeding the allowable inventory amount: DZ (+, i) [yen / piece / time] c) Parts i ( 1,2, ... i ... Q) Coefficient for calculating the number of missing items as loss: DZ (-, i) [yen / unit · time] d) Product type j (1,2, ... j ... P) Coefficient for calculating the delay from the specified delivery time for each loss: DN (+, j) [yen / hour] e) Loss due to lack of the specified delivery time for each product type j (1,2, ... j ... P) Coefficient to calculate: DN (-, j) [yen / hour]

Here, LZ _i is set for each part using the existing storage space as a guide. In addition, DZ (+, i) is set for each part by using the interest amount of the rent for the space occupied by the overflow of the stock space as a guide. DZ (-, i) is set for each part by using the amount of equipment lost by the equipment and the worker's loss per unit time as the production delays due to lack of parts. DN (+, j) is set based on the value obtained by multiplying the selling price for each product type by judging the effect of late delivery on opportunity loss from the sales entity. DN (-, j) is set for each product by using the interest rate burden on the product inventory as a guide. Although the above is required as an input, among the data of the results input or calculated before the previous production planning timing T ₋₁ , the required data is stored in the disk 13 by the CPU 12.

The data are as follows. a) component i (1,2, ... i ... Q ) of T _O previous delivery _{timing: C -1, i, C -2} , i, C -3, i, ... [ h] b) T _-1 of Parts i after production of the final product according to the production plan
Inventory quantity of (1,2, ... i ... Q): Z _{-1, L, i} [pieces] c) Final product production end time according to T _-1 production plan: S
_{-1, L} [hour]

(2) Input of Customer Order Order Next, the customer order input corresponding to S2 of FIG. 1 will be described. The customer order is input and stored in the order input storage means 15, which is specifically stored in the disk 13 from the input / output terminal device 14 via the CPU 12. Orders are accumulated between production planning timings and stored in the form shown in FIG.
As shown in FIG. 9, the content of the customer order is a designated delivery date that clarifies the order number assigned to each order, the product type, the order reception time, and the customer desired delivery time. The designated delivery date plays an important role in the loss evaluation of the present invention.

Regarding the contents of the customer order, the parameter data necessary for the loss calculation described later are defined as follows. a) Number of customer order orders (hereinafter referred to as T _O order orders) accumulated during the period of T _{−1 to} T _O : R b) Order number k (1, 2, ... K ...) of T _O order orders.
R) Order acceptance time: E _{O, k} [hours] c) T _O Order acceptance order number k (1,2, ... k ...
R) Specified delivery date for order: N _Ok [hours]

(3) Formulation of Production Sequence Planning Next, selection and rearrangement of the production sequence planning method corresponding to S3 to S6 in FIG. 1 will be described. The selection of the production order planning method (S3) is performed by the order planning method selecting means 16. Specifically, this is performed by the input / output terminal of the input / output terminal device 14 of a program of the order planning which is previously input and stored. Of these, selecting multiple methods for which you want to evaluate loss. The selected sequence plan program is
As shown in S4 to S6 of FIG. 1, the customer order of FIG. 9 is rearranged in order by each program. The following three methods will be described as examples of the order planning method.

First, in the first-come-first-served system, rearrangement is carried out according to the time of receiving an order from a customer. Specifically, this means that the sorting is performed in the ascending order of the order receiving time shown in FIG.
Next, the designated delivery date priority method will be described. Here, it is premised that the customer's desired delivery time is clarified and entered as data when an order is received from the customer. The rearrangement is specifically to carry out the sorting in the date order of the designated delivery date in FIG. 9, and FIG. 10 shows the rearranged one as an example.

Finally, the component usage frequency leveling priority method will be described. Here, a method based on a target tracking method which is a known technique will be shown. In FIGS. 11 to 13, assuming that the parts requiring leveling are the parts 2 and 3, the type of the product in the order 1 is the ratio of each product × 1−
Assign the largest of 0. For the assigned products, the value to be subtracted when calculating the order 2 is +1. For the product type of order 2, the largest product ratio x 2-0 (the product assigned in order 1 is 1) is assigned. Follow the steps above until the end. FIG. 13 shows a specific calculation flow for rearranging FIG. 13, and FIG. 11 shows the rearranged result.
Shown in In the above three methods, the first-come-first-served method generally has a problem that the difference between the designated delivery time and the actual delivery time becomes large. Further, in the designated delivery date priority method, the difference between the designated delivery date and the actual delivery date is reduced, but there is a problem that the parts inventory and the parts shortage increase. Further, in the parts leveling priority method, the parts inventory and the parts shortage decrease, but the gap between the designated delivery time and the actual delivery time tends to increase.

(4) Loss Calculation for Inventory Next, a loss calculation method for inventory corresponding to S7 in FIG. 1 will be described. This calculation and the following calculation of the loss related to the delivery date are executed by the production plan evaluation program 17. This is specifically done by the CPU 12 using the data stored by the disk 13. Prior to the explanation of the calculation method, FIGS.
The symbols used in the above, symbols used for loss calculation, and functions are defined. a) T _o Order-to-order production sequence m (1,2, ... m ...
Inventory quantity of parts i (1,2, ... i ... Q) for each R): Z
_{O, m, i} [pieces]

[0021]

(Equation 1) Here, the function f (x) is for considering only the plus side, and the function g (x) is for considering only the minus side. Is a function used to consider only

Next, the following losses are calculated for each sort performed by each production sequence planning method. Estimated total loss due to excess of allowable stock V ^ [yen]
Can be expressed as in Equation 2 below.

(Equation 2) Here, the inventory Z _{O, m, i} is Z _{O, m, i} [pieces] = Z _{-1, L, i} + (amount delivered in the time from T _O to production of the product in the production order m) − ( Production order from T _o m
The amount used in the time until the product is manufactured).

Further, the quantity delivered within the time from T _O to the production of the product in the production order m is determined by the delivery time of the parts (... C _{-1, i} ,
C _{O, i} , C _{1, i} , ...), inventory quantity Z _{−1, L, i} after final product production according to the production plan of T ₋₁ , number of delayed delivery flights D _i [times],
It is derived from the usage history of the part i before T _o . Also, T _O
The quantity used in the production time of the product in the production order m is derived by adding the usage amount of the part i assigned from the type of the product in the production order m to the usage amount up to the production order m-1. Then, the estimated value W ^ [yen] of the total loss due to the lack of parts can be expressed by the following Expression 3.

(Equation 3)

(5) Loss Calculation Due to Deviation between Designated Delivery Date and Actual Delivery Date Next, the loss calculation regarding the delivery date, which corresponds to S8 in FIG. 1, will be described. The following losses are calculated for each sort performed by each production sequence planning method. Estimated total loss due to delay from designated delivery date X ^ [yen]
Can be expressed as in Equation 4 below.

(Equation 4) Here, S _{O, k} represents the production end time of the product of the order number k (1, 2, ... K ... R), and S _{O, k} is the final product production end time S according to the production plan of T _−1. It is derived by adding _{-1, L} to the production order of this product multiplied by the production time 1 / MAX per piece. Next, the estimated value Y ^ [yen] of the total loss due to the shortfall until the designated delivery date can be expressed by the following Expression 5.

(Equation 5)

(6) Output of Evaluation Result Finally, the output of the evaluation result corresponding to S9 in FIG. 1 will be described. The total loss loss A ^ [yen] for each rearrangement performed by each production sequence planning method can be calculated as the sum of all losses as shown in the following Expression 6.

(Equation 6) Finally, the evaluation result output means 20 is arranged in the order of smaller A ^.
Is output. This is specifically the input / output terminal device 14
To be displayed. With the above-described operation, it is possible to specifically grasp the method with the smallest loss regarding inventory and delivery among the preliminarily input production order planning methods, and it is possible to perform the production with the optimum production order planning method.

Next, the case where the above-described production plan evaluation method is applied to a specific example will be described in detail. FIG. 3 is a table showing the coefficients, which are detailed prerequisites. These coefficients are for converting each loss into a monetary amount. next,
An example of evaluating the production plan determined by the first-come-first-served method shown in FIG. 9 will be described with reference to FIG. Loss calculation for inventory is performed first. According to the equation 2, by multiplying the amount by which the inventory quantity of the parts 1, 2 and 3 exceeds the allowable inventory quantity LZ _i by a coefficient,
A value obtained by converting the amount of loss caused by exceeding the allowable stock amount into an amount is obtained. That is, the portion indicated by a in the drawing is LZ _i.
Is exceeded, and a value converted from that portion is calculated. FIG. 2 shows an example of calculating a specific amount of money. It is obtained by using the coefficient shown in FIG. According to this, the loss amount caused by exceeding the allowable stock amount is 0 yen for the part a and 14 for the part b.
0 yen, 0 yen for the part c, 140 yen in total.

Further, according to the expression 3, a value obtained by converting the amount of loss caused by the lack of parts into a monetary amount is obtained by multiplying the stock amount of the parts 1, 2, 3 by the coefficient. That is, the portion indicated by b in the figure is less than 0, and a value obtained by converting the portion into a monetary amount is obtained. As shown in FIG. 2, when the specific amount of money is calculated, the loss amount caused by the part shortage is 0 yen for the part a and 0 for the part b.
A yen and a part c are 50 yen, which is 50 yen in total.

Next, the loss due to the delay from the designated delivery date is calculated by the equation (4). As shown in the upper part of FIG. 4, the delay of the product production completion time S with respect to the customer-specified delivery time N is
It is shown as plus time in the figure. By accumulating only this plus time and multiplying it by a coefficient, a value obtained by converting the amount of loss caused by delay in delivery into an amount can be obtained. FIG.
As shown in, when the specific amount of money is calculated, the loss amount due to the delay from the designated delivery date is 80 yen for the production order 1, 0 yen for the production order 2, and the production order 3
360 yen for production, 0 for production order 4,
160 yen for production rank 5, 0 yen for production rank 6, 0 yen for production rank 7, 0 yen for production rank 8, 0 yen for production rank 9, 0 yen for production rank 10. Is 160 yen, for a total of 760 yen.

Next, the loss due to the shortage until the designated delivery date, which is caused by the early production, is calculated by the equation 5. As shown in the upper part of FIG. 4, for the customer-specified delivery time N,
The shortage due to the product production completion time S being too early is shown as a negative time in the figure. By accumulating only this minus time and multiplying it by a coefficient, a value obtained by converting the amount of loss caused by late delivery into an amount can be obtained. FIG.
As shown in, when calculating the concrete amount, the loss amount caused by the shortage by the designated delivery date is 0 yen for the production order 1, 400 yen for the production order 2, and 0 for the production order 3. Yen, 640 according to production ranking 4
Yen, production order 5 is 0 yen, production order 6 is 0 yen, production order 7 is 0 yen, production order 8 is 120 yen, production order 9 is 40 yen,
The production rank 10 is 0 yen, for a total of 1200 yen. Therefore, the total amount of loss due to the production plan designed by the first-come-first-served method is 2150 yen.

Next, an example of evaluating the production plan determined by the delivery date priority method shown in FIG. 10 will be described with reference to FIG.
Loss calculation for inventory is performed first. According to Equation 2, by multiplying the amount by which the inventory quantity of the parts 1, 2 and 3 exceeds the allowable inventory quantity LZ _i by a coefficient, a value obtained by converting the amount of loss caused by the excess of the allowable inventory quantity into an amount is obtained. That is, the portion indicated by c in the figure exceeds LZ _i , and a value obtained by converting the portion into a monetary amount is obtained. FIG. 2 shows an example of calculating a specific amount of money. It is obtained by using the coefficient shown in FIG. According to this, the loss amount generated due to the excess of the allowable stock amount is 140 yen. Also, Equation 3
Thus, by multiplying the stock quantity of the parts 1, 2, and 3 by the coefficient, a value obtained by converting the loss caused by the stock of the parts into a monetary amount is obtained. That is, the portion indicated by d in the figure is less than 0, and a value obtained by converting the portion into a monetary amount is obtained. As shown in FIG. 2, when the specific amount of money is calculated,
The amount of loss caused by missing parts is 250 yen.

Next, the loss due to the delay from the designated delivery date is calculated by the equation 4. As shown in the upper part of FIG. 5, the delay of the product production completion time S with respect to the customer-specified delivery time N is
It is shown as plus time in the figure. By accumulating only this plus time and multiplying it by a coefficient, a value obtained by converting the amount of loss caused by delay in delivery into an amount can be obtained. FIG.
As shown in, when the specific amount of money is calculated, the loss amount caused by the delay from the designated delivery date is 320 yen. Next, the loss due to the shortage until the designated delivery date, which occurs due to the early production, is calculated by the formula 5. As shown in the upper part of FIG. 5, the shortage due to the product production completion time S being too early with respect to the customer-specified delivery time N is shown as a negative time in the figure. By accumulating only this minus time and multiplying it by a coefficient, a value obtained by converting the amount of loss caused by late delivery into an amount can be obtained. As shown in FIG.
When the specific amount of money is calculated, the loss amount caused by the shortage by the designated delivery date is 400 yen. Therefore, the total loss amount in the production plan designed by the delivery date priority method is 1110 yen.

Next, an example of evaluating the production plan determined by the parts leveling priority method shown in FIG. 11 will be described with reference to FIG. Loss calculation for inventory is performed first. According to Equation 2,
By multiplying the amount by which the inventory quantity of the parts 1, 2 and 3 exceeds the allowable inventory quantity LZ _i by a coefficient, a value obtained by converting the loss caused by the excess of the allowable inventory quantity into an amount is obtained. That is, the portion indicated by e in the figure exceeds LZ _i , and a value obtained by converting the portion into a monetary amount is obtained. FIG. 2 shows an example of calculating a specific amount of money. It is obtained by using the coefficient shown in FIG. According to this, the loss amount caused by the excess of the allowable stock amount is 60 yen. Also,
According to Equation 3, by multiplying the stock quantity of the parts 1, 2, and 3 by the coefficient, a value obtained by converting the loss caused by the stock of the parts into a monetary amount is obtained. That is, the portion indicated by f in the figure is less than 0, and a value obtained by converting the portion into a monetary amount is obtained. As shown in FIG. 2, when the specific amount of money is calculated, the loss amount caused by the lack of parts is 50 yen.

Next, the loss due to the delay from the designated delivery date is calculated by the equation 4. As shown in the upper part of FIG. 6, the delay of the product production completion time S with respect to the customer-specified delivery time N is
It is shown as plus time in the figure. By accumulating only this plus time and multiplying it by a coefficient, a value obtained by converting the amount of loss caused by delay in delivery into an amount can be obtained. FIG.
As shown in, when the specific amount of money is calculated, the amount of loss that occurs due to the delay from the designated delivery date is 920 yen. Next, the loss due to the shortage until the designated delivery date, which occurs due to the early production, is calculated by the formula 5. As shown in the upper part of FIG. 6, the shortage due to the product production completion time S being too early with respect to the customer-specified delivery time N is shown as a negative time in the figure. By accumulating only this minus time and multiplying it by a coefficient, a value obtained by converting the amount of loss caused by late delivery into an amount can be obtained. As shown in FIG.
When the specific amount of money is calculated, the amount of loss that occurs due to a shortage by the designated delivery date is 600 yen. Therefore, the total loss amount in the production plan designed by the delivery date priority method is 1630 yen.

FIG. 2 shows a list of the above evaluation results. According to this, the total loss amount of the production plan made by the first-come-first-served method is 2150 yen, and the total loss amount of the production plan made by the delivery date priority method is 111
It is 0 yen, and the total loss amount of the production plan designed by the parts leveling priority method is 1630 yen. Therefore, in the three production plans that were planned with the same order data,
It can be judged that the production plan prepared by the delivery date priority method is the best, and it can be adopted.

As described in detail above, according to the production plan evaluation method and cost or device of the present embodiment, the product of the order data is compared with the production plan made based on the received order data. Calculate the production loss amount due to the difference between the delivery date and the production delivery date according to the production plan, the inventory loss amount due to the inventory due to the production plan, and the out-of-stock loss amount due to the lack of parts in the production plan,
Since the total losses are compared as the amount of money, the quality of a plurality of production plans can be easily identified, and the optimum production plan can be adopted. Further, according to the production planning evaluation method and the evaluation device of the present embodiment, since each loss is multiplied by a predetermined coefficient and the total loss is converted as the amount of money, it is adjusted according to the parameter data of each process. A coefficient can be appropriately and easily selected, and an optimum evaluation method and evaluation apparatus can be provided for each process.

Although several embodiments have been described above, the present invention is not limited to the above embodiments, and various design changes can be made without departing from the spirit of the present invention. In the present embodiment, as the production plan, three types of production plans, that is, a plan made by the first-come-first-served method, a plan made by the delivery date priority method, and a plan made by the parts leveling method have been described. It goes without saying that the evaluation method of this production plan can also be applied to plans drafted by the method. Further, in the present embodiment, all are displayed as the amount of money, but the same applies when the dimensions are made the same by a specific unit and comparative evaluation is performed.

[0037]

According to the method and apparatus for evaluating a production plan of the present invention, the product delivery date of the order data and the production delivery date according to the production plan are compared with the production plan planned based on the received order data. Calculate the production loss caused by the deviation and the inventory loss due to the inventory caused by the production plan,
Since the total losses are compared in total, the quality of a plurality of production plans can be easily identified, and the optimum production plan can be adopted.

[Brief description of the drawings]

FIG. 1 is a flowchart of a method for evaluating a production plan.

FIG. 2 is a comparison table of loss amounts calculated by a production plan evaluation method.

FIG. 3 is a table showing a specific example of coefficients that are prerequisites.

FIG. 4 is an explanatory diagram illustrating a procedure for evaluating a production plan that is planned by the first-come-first-served method.

FIG. 5 is an explanatory diagram for explaining a procedure for evaluating a production plan designed by the delivery date priority method.

FIG. 6 is an explanatory diagram illustrating a procedure for evaluating a production plan designed by the component leveling priority method.

FIG. 7 is a conceptual diagram showing a relationship among means constituting a production plan evaluation method.

FIG. 8 is a block diagram showing a hardware configuration for performing a production plan evaluation method.

FIG. 9 is a table showing a production plan designed by the first-come-first-served method.

FIG. 10 is a table showing a production plan designed by the delivery date priority method.

FIG. 11 is a table showing a production plan designed by the parts leveling method.

FIG. 12 is a table showing a relationship between products and parts.

FIG. 13 is an explanatory diagram for explaining a component leveling system.

[Explanation of symbols]

 11 personal computer 12 CPU 13 disk 14 input / output terminal device 15 order input storage means 16 order planning method selection means 17 production plan evaluation program 171 production loss calculation program 172 inventory loss calculation program 173 missing item loss calculation program 174 total loss calculation program 18 Sequential planning method storage means 19 Production pattern input storage means 20 Evaluation result output means

Claims (5)

[Claims] 1. A production loss caused by a deviation between a product delivery date of the order data and a production delivery date of the production plan for a production plan made based on given order data using a computer, A method for evaluating a production plan, which calculates a total loss together with an inventory loss due to an inventory generated in the production plan, and outputs the calculated total loss. 2. The method for evaluating a production plan according to claim 1, further comprising calculating a shortage loss due to a shortage of parts that occurs in the production plan and including the loss in the total loss. 3. The method for evaluating a production plan according to claim 1, wherein each of the losses is multiplied by a predetermined coefficient to convert the total loss as a monetary amount. 4. A computer-readable recording medium in which a program for executing at least one evaluation method according to claim 1 is stored. 5. A computer is used to calculate a production loss caused by a deviation between a product delivery date of the order data and a production delivery date of the production plan, for a production plan made based on given order data. A production loss calculation program, an inventory loss calculation program that calculates an inventory loss due to inventory generated by the production plan, a total loss calculation program that calculates a total loss of the production loss and the inventory loss, and the calculated An apparatus for evaluating a production plan, comprising: an output unit that outputs a total loss.