JPH0589154A - Method for managing order instruction card - Google Patents

Abstract

PURPOSE:To previously detect whether the number of stocks becomes inappropriate under a condition where a parts-use-space hourly fluctuates by accumulating a difference between an estimated delivery quantity and an estimated consumed quantity whenever respective parts are delivered and displaying abnormality when an accumulated value exceeds a prescribed range. CONSTITUTION:The estimated quantity of the parts which parts-user consumes within an interval is calculated for every parts delivery interval from a parts supplier. The estimated consumed quantity is mostly calculated from a production plan quantity, etc. Then, the number of order instruction cards transmitted to the parts supplier after the parts of the estimated consumed quantity are consumed is calculated whenever the respective parts are delivered. Then, the estimated delivery quantity at the time of delivering the respective parts is calculated by the frequency of parts delivery times which is required from order to delivery. The accumulation of the difference between the estimated delivered quantity and the estimated consumed quantity becomes an estimated stock quantity. It does not become constant under environment where the use number hourly fluctuates, and it can previously be detected whether the estimated stock quantity is beyond the normal range or not.

Description

Detailed Description of the Invention

[0001]

[Field of Industrial Application] The effectiveness of a method of using an order instruction card is widely recognized in order to produce or carry a necessary amount when and in a required amount. This ordering instruction card is commonly called "Kanban", and the parts supplier delivers it together with the parts to the parts user every time the parts are delivered, and when the delivered parts are used, it is time to order the parts. It is forwarded to the supplier. As a result, the circulation in which the used parts are replenished is repeated. The present invention relates to a method for managing this ordering instruction card, and in particular, enables an orderless / wasteful cycle of ordering / delivery / use to be repeated in an environment in which the number of parts used fluctuates with time. is there.

[0002]

2. Description of the Related Art The number of kanbans is directly related to the stock quantity, and it is now assumed that parts are delivered b times and a times c times a day later (here, c times delay means that the ordered parts are It means the number of times until it is delivered, for example, the one ordered at the time of the first delivery of parts is delivered at the time of the (1 + c) th delivery of parts), the number of kanbans = {(average demand amount) x (a The number of kanbans is calculated using the formula: / b) × (1 + c) + appropriate inventory quantity} / accommodation quantity. The reason why 1 is added to c is that the parts are delivered once before the order is placed using the parts. The number of parts accommodated is the number of parts per kanban. The validity of the above formula is described in detail in "Operation Research", pages 730 to 738, November 1987.

In an environment where the amount of parts used does not increase or decrease,
By distributing the number of kanbans calculated using the above formula, the parts just used are replenished while the proper inventory quantity is maintained. However, if the monthly production quantity fluctuates, the number of parts used also changes. At this time, if the number of kanbans is increased or decreased at one time according to the change in the number of used parts, the inventory quantity temporarily becomes excessively large or too small, and when it is remarkable, a situation such as stockout may occur.
Therefore, the present applicant has developed the technique disclosed in Japanese Patent Laid-Open No. 2-292603. In this technique, a condition for limiting the number of issued cards is set when adjusting the number of kanban cards to prevent a sudden change in the number of cards. For example, when the amount of parts used increases and it is necessary to increase the number of kanbans, an upper limit is set for the number of items ordered at one time, and the number is increased under the condition that the upper limit is not exceeded. On the other hand, when reducing the number of sheets, the number of kanban sheets is reduced under the condition that the lower limit number is not exceeded. Under this condition, increase / decrease is continued, and the increasing / decreasing operation is continued until the total amount of increase / decrease becomes equal to the required number of changed sheets.

[0004]

SUMMARY OF THE INVENTION In the above conventional technique,
For each considerable period, the production number is usually calculated on a monthly basis, and then the kanban number is calculated. However, they are not always produced at the same pace during January,
In some cases, the pace of parts usage is fast, but in others it is slow. In this case, the number of kanbans is calculated on the basis of the average pace of parts usage, so that the inventory quantity tends to be inappropriate. Also, if the production plan is revised in the middle of the month, the inventory quantity will be inadequate.

Therefore, an object of the first invention of the present application is to check in advance whether or not the inventory quantity becomes inadequate under the condition that the pace of parts use changes temporally when a predetermined number of kanban boards are used. We have developed a method that can detect the number of orders, which will allow more rational management of the number of ordering cards.

Another object of the second invention of the present application is to develop a method for calculating the minimum number of cards that will not cause a stockout in an environment in which the pace of use of parts fluctuates with time, thereby ordering instruction cards. It tries to manage the number of sheets more reasonably.

A third object of the present invention is to prevent the inventory quantity from becoming inappropriate when the parts usage pace fluctuates greatly and it is necessary to increase or decrease the number of kanbans. The purpose is to develop a method that calculates how much the number of sheets should be increased or decreased, and that can increase or decrease the number easily.

[0008]

In order to achieve the above object, in the ordering instruction card management method according to the first aspect of the present invention, as shown schematically in FIG. For each delivery interval of parts from, the number of parts to be used by the part user within the interval is calculated. Here, the planned usage quantity is calculated from the production planning quantity given to the component user. (b) Next, calculate the number of order instruction cards to be sent to the parts supplier after each part is delivered after using the planned number of parts. (c) After that, calculate the expected number of deliveries at the time of delivery of each component from the number of deliveries and the number of delivery of components required from ordering to delivery. (d) Then, the difference between the planned delivery number and the planned use number is accumulated each time each part is delivered. (e) Finally, the cumulative value is compared with a predetermined range, and when it is out of the predetermined range, an abnormality is displayed.

Further, in the ordering instruction card management method according to the second aspect of the present invention, as schematically shown in FIG. 2, (f) the parts user sets the intervals at which parts are delivered from the parts supplier. Calculate the number of parts you plan to use within the interval. (g) Then, by classifying at a timing when the planned usage number fluctuates significantly, the planned usage number is classified for each almost constant period. In the example of FIG. 2, the case where the number of parts used sharply increases after the last delivery is illustrated. (h) In addition, the planned usage quantity calculated in (f) shall be the order quantity when the parts are delivered at a timing ahead by the number of times the parts are delivered from the time they are used until the order is placed and delivered. (i) Furthermore, the total number of orders is calculated by summing the number of orders at the time of delivering each part, which is required from the time the parts are used until the order is placed and delivered. (j) Of the total number of orders calculated in this way, (g)
In the period divided by, the maximum one in the period not including the number of orders for the next period is extracted. (k) Calculate the number of ordering instruction cards based on the sum of the maximum total number of orders and the number of appropriate stocks. Here, the process of (g) is
It may be carried out before the step (j).

In the ordering instruction card management method according to the third aspect of the present invention, as schematically shown in FIG. 3, (m) every time the parts are delivered from the parts supplier, the parts user sets the interval. Calculate the number of parts you plan to use inside. (n) By dividing the calculated planned usage number at a time when the planned usage number fluctuates significantly, the planned usage number is classified every period. (o) For each divided period, calculate the number of ordering instruction cards within that period based on the planned usage number and the appropriate inventory number. (p) The number of deliveries of a component (A + 1-A1 in the case shown in FIG. 3) required from the time the component is used until the order is delivered (C + 1 in the case of FIG. 3).
Times). (q) Before the end of each period (including the end),
Increase or decrease the number of order instruction cards by the number obtained in (p) above when each part is delivered, if the number of deliveries within that period is equal to or less than the number of deliveries required to order and deliver after using the goods. ..

[0011]

According to the card management method of the first invention,
As is clear from Fig. 1, the cumulative difference between the number of deliveries and the number of uses, that is, the inventory number Will be asked. If the usage number does not fluctuate over time, the stock number is constant. The conventional method of managing the number of kanbans does not calculate the number of stocks because this concept is used. However, if the usage number fluctuates over time, the inventory quantity will not be constant due to the time difference between usage and delivery. According to the present invention, the stock quantity in an environment where the usage quantity fluctuates with time is calculated, and whether or not the stock quantity deviates from the normal range can be examined in advance. This can make the management of the number of kanbans more rational.

According to the card management method of the second aspect of the present invention, as schematically shown in FIG. 2, the number of parts ordered to be used is delivered at the time of delivery of the parts just before that. Is calculated. Once this order quantity is calculated,
Next, the number of orders at the time of delivery of each component, which is required from the use of the component to the ordering and delivery, is summed up. This total number is the total number of items ordered but not yet delivered,
That is, it corresponds to the total number of orders that are currently valid. When the total number of orders is calculated, the next expected number of uses will be within a certain period (production increase has started from the rightmost period in Fig. 2, and an example of dividing the period is shown). The maximum total order quantity of the total order quantity is extracted. However, the maximum total number of orders will not be extracted for those that include orders for the next period. The maximum total number of orders extracted in this way is
This would correspond to the minimum number of cards required to implement the ideal ordering plan. If the number of cards is less than this, the inventory will decrease, while if you use more cards, the inventory will increase. Therefore, the number of cards to be passed during that period is calculated from the maximum total number of orders and the appropriate inventory number.

According to the method of the third aspect of the present invention, the number of cards can be properly increased or decreased when the number of used parts suddenly changes.
Also in the case of the present invention, the number of parts used is calculated for each delivery interval, and the number of parts to be used is divided by the timing when the number of parts is changed rapidly, so that the number of parts to be used is almost constant. Then, the required number of cards is calculated for each period. The number of cards may be calculated in the same manner as the conventional technique, or may be calculated by the method according to the second invention of the present application.

Here, during the period from period to period, A2-A
If it is necessary to increase the number of cards by one, the number of cards will be increased regularly at the time of placing an order just before the end of the previous period, which is delivered in the next period. For example, if it is necessary to deliver the parts once from the use of the parts to the ordering and C times from the ordering to the delivery, the last C times of the ordering timing of the previous period and the first ordering timing of the next period. In (3), (A2-A1) / (C + 1) sheets are increased each time. As a result, the number of parts delivered will be increased in time with the increase in the number of parts used, and no shortage will occur. In addition, the increase / decrease number and the increase / decrease period per time are
It is not necessary to strictly follow the above equation, and any approximation may be used. The same is true when reducing the number of cards, and the number of deliveries will decrease as the amount of parts used decreases.
Does not cause abnormal inventory. Here, at the start of the next period, the process for adjusting the increase / decrease of the number of cards is completed, so that the actual increase / decrease operation can be easily performed.

[0015]

EXAMPLES In order to make the structure of the present invention easier to understand, examples will be described below. Note that this is one embodiment of the present invention, and the configuration of the invention is not limited to this.
Now, the present inventors constructed a system utilizing a computer in executing the method according to the present invention. This computer system also has a function of calculating an appropriate number of order instruction cards by executing this method, and further simulating a phenomenon that occurs when the number is used. The card manager can carry out the method of the present invention by using this computer system, thereby performing extremely rational card management.

Now, as shown in FIG. 4, this computer system is connected to the production plan instructing means 2. This instructing means 2 can be used for any product, when, how many,
Instruct which production line to produce. On the other hand, this computer is also connected to the process / configuration file 4. This file 4 stores what parts and how many parts are required to produce the specified product.
The computer is connected to the two systems to calculate which production line requires which part, when, and how many parts (process 6).

FIG. 5 exemplifies the result of calculating when and how many specific parts are required in the specific production line in this way, and as shown in the column 130, 29 days It illustrates that 10 pieces were obtained during daytime work, 9 pieces during nighttime work, and 18 pieces were obtained by increasing production from daytime work on 30th. When the necessary parts are calculated in this way, the process of calculating the number of parts to be used is then executed (process 8 in FIG. 4). This processing calculates the number of parts to be used during the interval in which the parts are delivered from the parts supplier. Now, for example, as shown in column 110 of FIG. 5, the parts supplier receives daily 7:00, 9:00, 1
0:00, 12:30, 13:50, 16:00, 1
9:30, 21:10, 22:30, 0:10, 2: 3
Parts shall be delivered at 0: 3: 40. In addition, this production line, as shown in column 100, is from 8:00 to 1
2:00, 13:00 to 17:00, 20:30 to 0:
It shall operate during 10, 1:10 to 5:30.

Then, each work shift (two shifts, day shift and night shift) becomes an operating time of 8 hours.
Column 1 from the planned number of parts used per day shown in 30
The planned use number per hour shown in 40 is calculated. In the column 120, the operating time is divided by the parts delivery interval, and the number of parts used within the parts delivery interval is calculated from this time and the planned usage number per hour of the column 140 (see column 150). ). In the process 8 of FIG. 4, the planned use number (value shown in the column 150) is calculated as described above.

When the planned usage number is calculated in this way, then in processing 10 of FIG. 4, the planned usage number is divided at a timing at which the planned usage number changes abruptly, so that the planned usage number is divided for each substantially constant period. .. In the example shown in Fig. 5, the production starts to increase from noon on the 30th, and the number of parts to be used is increasing rapidly.
The period is divided before and after this (see column 180). It should be noted that this division may be entered by the operator. Alternatively, it may be based on a program that finds a sudden change in the number to be used.

When the planned usage quantity for each delivery interval is calculated, an ideal ordering plan is next prepared in process 12 of FIG. This ideal ordering plan is to calculate the ordering timing and the number of orders so that the planned number of parts calculated in process 8 will be delivered at the time of delivery of the part immediately before, and the calculated planned number of parts to be used It is calculated by setting the number of orders at the time of parts delivery prior to the number of times of parts delivery required from the time of using to the time of ordering and delivery. FIG. 5 exemplifies a case in which the parts are delivered once after the parts are used and before the order is placed, and the ordered parts are delivered at the time of the fourth part delivery after the order is placed. Therefore, as is clear from the columns 150 and 160, the planned number of uses is the number of orders when the parts are delivered four times prior to the time of delivery, which indicates the start time of the scheduled use period.

Next, in process 14 of FIG. 4, first, the total number of orders is calculated. This will be described with reference to the example of FIG. First, as shown on the left end of the column 160, 2.71 pieces are ordered when the parts are delivered at 7:00 on the 29th. The actual delivery of this part is delayed by 4 flights at 13:50 on the 29th.
It will be a minute. But by then, each 1.25
Parts, 0.75, 1.5, and 1.88 have been ordered, and in the end, the example of the parts supplier has an order backlog equivalent to 8.09 in total. At the time of delivery of parts at 13:50, the kanban equivalent to 2.71 pieces was removed and the removed kanban cannot be used immediately for ordering 1.88 pieces, so an order for 1.88 pieces was also placed. The total number. In reality, the number of parts ordered must be an integer, and must also be an integral multiple of the number accommodated per kanban. This correction will be described later.

In this way, the order quantity and order timing are calculated one after another as illustrated in the column 170. As mentioned above, the number of scheduled use will rapidly increase from noon on the 30th. When calculated backward, the orders after 22:30 on the 29th must correspond to the rapidly increasing number of items to be used. That is, the number of kanbans must be increased or decreased within the period shown in column 190.

Therefore, the total number of orders placed in the column 170 does not include the number of orders placed during the kanban number adjustment period in the column 190, up to 8.25 in the example of FIG. This is because if the total number of orders is calculated, including the subsequent orders, the number of orders corresponding to the next production increase period will be included.

Therefore, with the total order quantity shown in 8.25 in the figure as the end, the maximum quantity is extracted from the total order quantity obtained so far. Although the extraction starting point is not shown in FIG. 5, it is extracted from the time when the production is started at the pace of 29 days, to be precise, from the time after the order is placed in time when the production is started. Now suppose this is 11.9. This number of 11.9 is 1 for the largest quantity of unordered items within the period of continuing production at the same pace as 29 days.
It shows that the number was 1.9. Therefore, if the number of kanbans corresponding to this is circulated, it corresponds to a value that will not be out of stock. Therefore, in the process 16 of FIG.
From the sum of the maximum total number of orders and the number of appropriate stocks calculated in the process 14, the number of sheets to be distributed within the period is calculated. Here, when the total number of both is divided by the number of accommodations per kanban and it is not divisible, rounding up processing is performed to calculate the number of kanbans. As described above, for each period in which production continues at a substantially uniform pace, the number of kanbans that should be distributed during that period is calculated.

Next, as shown in process 18 of FIG. 4, the increase / decrease number of sheets is calculated. This is the adjustment period shown in column 190, that is, the period before the number of parts used changes abruptly, and the number of sheets in the period when the ordered product is delivered is after the timing when the number of used parts changes abruptly. is there. In this embodiment, the timing of 7:00 on the 30th, which is both the end and the beginning of the period, is also the adjustment period. Instead, the adjustment may be completed at this time.

Now, in the processing 16 of FIG. 4, 5 until 29th.
It is assumed that it is calculated that eight Kanban boards are required after 30 days. So the adjustment period, that is, 22:30 on the 29th
It will be increased by 3 pieces during the total of 5 times of parts delivery from 7:00 to 7:00 on the 30th. This increase / decrease number is determined by the following equation. {Increase / decrease number} _i = [{new number-old number} / {number of times until (use → order → delivery)} + K ′ _i−1 ] Here, the brackets indicate the smallest integer greater than or equal to the real number in the brackets. Further, i indicates the number of deliveries within the adjustment period, and in the case of FIG. 5, the delivery at 22:30 on the 29th corresponds to i = 1.

K'is obtained by the following equation: K'i = {new number-old number} / {(use → order → delivery)
Up to the number of deliveries} + K ′ _i−1 − {number of increase / decrease number} _i Note that K′o is zero.

An example in which the above equation is applied to the case of FIG. 5 is shown in FIG.
In this example, {new number-old number} /
{Number of deliveries until (use → order → delivery)} = (8-5)
/5=0.6 (column 300). For i = 1, K ′ _i−1 = 0, and eventually (increase / decrease number of sheets) ₁ = [0.
6] = 1. Moreover, K _i ′ = 0.6 + 0-1 = −0.
4 (see line 340). Same as below (increase / decrease number) _{2
= [0.6-0.4] = 1, K'} 2 = 0.6-0.4-
1 = -0.8 and so on. As a result, it is possible to obtain the result that the number of sheets is increased by one at the timing of i = 1, 2, 4, and not at the timing of i = 3 and 5. Here, the above expression is for increasing the number of sheets in three times in five times, because it cannot be increased by 0.6 sheets each, so that the number can be increased in a manner most similar to the above. This result is shown in Figure 5.
Column 220.

FIG. 7 exemplifies a case where the number of old sheets is 13 and the number of old sheets is reduced to 3 when three deliveries are delayed after the order is placed. In this case, reduce 2 sheets at the beginning of the adjustment period (specifically, do not forward 2 sheets out of the parts), then 3 sheets, then 2 sheets, and reduce 3 sheets at the end of the adjustment period. It shows that it is good. Here, it is well understood that Ki 'processes a fraction of less than one card.

Column 200 of FIG. 5 shows the number of kanbans that are removed from the part for ordering to the supplier when the expected number shown in column 150 is actually used. For example, the use is started from 8:00 on the 29th, 1.25 by 9:00, a total of 2.50 by 10:00, and a total of 5.0 by 12:00. Here, in this example, part 4
4 because one Kanban is used for each
When the pieces are used, ie from 10:00 to 12:00
One Kanban is taken off in the meantime. Similarly, 13: 5
6.04 in total at 0 minutes, 8.75 by 16:00
Since it is used individually, the second one will come off by 16:00. The column 200 shows this number of outliers. This detached kanban is sent to the parts supplier for ordering the parts at the next parts delivery. This is shown in the number of orders in column 210. The number of orders in this column is the number of Kanban shipments to replenish the amount used.

The actual number of orders is the total number of orders for replenishment shown in column 210 and the number of orders for increase / decrease adjustment shown in column 220. This order number is delivered when delivery is delayed by four flights, so the column 210 and the column 220 are added, and the number is delivered by shifting the timing by four timings in the right direction in the figure. The process 22 of FIG. 4 thus executes the process of calculating the expected acceptance number. Then, in the remaining quantity calculation process 24, the inventory quantity is calculated by accumulating the planned delivery quantity and the planned usage quantity.

It is assumed that a total of 14 pieces are delivered as a result of delivering 8 pieces at 7:00 on the 30th. Since 2.25 of these should be used by the time when the next parts are delivered, the number of inventories will be reduced accordingly. The inventory quantity can be obtained by accumulating the difference between the delivered quantity and the used quantity. The result of obtaining the inventory quantity in this way is shown in the column 230. Clearly from this result, the number of deliveries increased as the production increase started,
It can be seen that the stock quantity immediately before each delivery, that is, the minimum stock quantity smoothly follows the increase in the number of parts used. In this way, the effectiveness of the method of calculating the number of kanban sheets according to the second invention of the present application and the method of calculating the adjusted number of sheets according to the third invention can be understood.

Now, the first invention of the present application is the column 230.
When the stock quantity becomes abnormal as a result of the simulation of the stock quantity shown in (1), the abnormality is displayed. This is the process 26 when the computer performs the process 28 when the simulated inventory quantity is out of the range of the proper inventory quantity (which is stored in the computer as a predetermined range in advance).
It is executed by displaying a message to inform the operator of the abnormality.

In this embodiment, the stock quantity is obtained by accumulating the difference between the delivered quantity and the used quantity in the period immediately after that. Therefore, the minimum stock quantity is simulated. On the other hand, the difference between the number used in the immediately preceding period and the number delivered immediately thereafter may be accumulated. In this case, the suitability of the maximum inventory quantity immediately after delivery is determined. 8 and 9
FIG. 9 is a diagram comparing a case where the number of sheets is calculated by the method of the present invention, and the number of sheets is further increased and decreased, and a case where the conventional method is compared, and in the example shown in FIG. Also, in the example of FIG. 9, it has been confirmed that excess inventory can be eliminated after 30 days.

[0035]

According to the second invention of the present application, the number of ordering instruction cards that should be distributed within a period in which the production pace is substantially constant is calculated. In this process, human judgment does not enter and the operator can easily know the optimum number. According to the third invention of the present application, when and how the production pace changes suddenly, it is calculated when and how to increase or decrease the number of circulation of the order instruction card. Again, the judgment of people does not enter,
The operator can easily know how to adjust the number of sheets. Further, according to the first invention of the present application, by inputting the number of cards, it is possible to carry out a simulation of a change in the number of stocks that occurs thereafter. Therefore, it is possible to confirm whether or not the number of sheets calculated in the second and third inventions is appropriate. In this way, according to the present invention, the management of the ordering instruction card is remarkably rationalized.

[Brief description of drawings]

FIG. 1 is a diagram schematically showing the method of the first invention of the present application.

FIG. 2 is a diagram schematically showing the method of the second invention of the present application.

FIG. 3 is a diagram schematically showing the method of the third invention of the present application.

FIG. 4 is a diagram showing a flow of processing carried out by a computer that implements the first to third inventions.

FIG. 5 is a diagram showing an example of a processing result.

FIG. 6 is a diagram showing an example of an adjusted number of sheets and a timing.

FIG. 7 is a diagram showing an example of an adjusted number of sheets and a timing.

FIG. 8 is a view showing a case where the method of the present invention is compared with a case where the conventional method is used.

FIG. 9 is a view showing a case where the method of the present invention is compared with a case where the conventional method is used.

Claims (3)

[Claims] [Claim 1] An ordering instruction card that is delivered to a component user together with a component every time the component is delivered to the component user and is forwarded to the component supplier to instruct an order when delivering the component after using the delivered component. This is a management method, and for each parts delivery interval from the parts supplier, the planned usage number calculation step for calculating the number of parts that the parts user plans to use within the interval, and the planned usage number calculation step are calculated. The number-of-orders calculation step for calculating the number of order instruction cards that will be forwarded to the parts supplier after each part is delivered after the planned number of parts has been used. The estimated delivery number calculation process that calculates the expected delivery number at the time of delivery of each component from the number of delivery times of the parts required for delivery, the estimated delivery number calculated in the estimated delivery number calculation process, and the expected use number calculation process A cumulative step of accumulating the difference from the planned usage number for each delivery of the parts, a display step of comparing the cumulative value calculated in the cumulative step with a predetermined range, and displaying an abnormality when it is out of the predetermined range, Management method of ordering instruction card having. 2. An order instruction card that is delivered to a component user together with the component every time the component supplier delivers the component and is forwarded to the component supplier as an instruction to order the component after the delivered component is used. This is a management method, and for each parts delivery interval from the parts supplier, the planned usage number calculation step for calculating the number of parts that the parts user plans to use within the interval, and the planned usage number calculation step are calculated. The period dividing process in which the planned use number is divided into almost constant periods, and the planned use number calculated in the planned use number calculation step is the number of parts delivery required from ordering and delivery of parts The order quantity calculation process, which is the number of orders at the time of parts delivery at an earlier timing, and the number of orders calculated by the order quantity calculation step at the time of parts delivery from the time the parts are used until they are ordered and delivered. Of the total order quantity calculation process to be calculated, and the total order quantity calculated in the total order quantity calculation step, the largest in the period not included in the period classified in the period classification process and for the next period A maximum total order quantity extraction step for extracting items, and a number calculation step for calculating the number of order instruction cards based on the sum of the maximum total order quantity extracted in the maximum total order quantity extraction step and the appropriate inventory quantity How to manage order instruction cards. 3. An ordering instruction card that is delivered to a component user together with the component every time the component supplier delivers the component, and is forwarded to the component supplier as an instruction to order the component after the delivered component is used. This is a management method, and for each parts delivery interval from the parts supplier, the planned usage number calculation step for calculating the number of parts that the parts user plans to use within the interval, and the planned usage number calculation step are calculated. Based on the planned usage quantity calculated in the planned usage quantity calculation step and the appropriate inventory quantity for each of the periods classified in the term classification step , A period number calculation step of calculating the number of ordering instruction cards within the period, a difference of each number calculated in the period number calculation step in an adjacent period among the periods divided in the period dividing step, Department The process of dividing by the number of parts delivery required from ordering to delivery after using the product, before the end of the period divided by the period division process (including the end time), the number of parts delivery within that period is goods Management of the ordering instruction card having a step of increasing or decreasing the number of ordering instruction cards by the number obtained in the dividing step when each part is delivered less than the number of times of delivery of parts required from using the Method.