JPH0950304A - Automatic plan generation device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To instantaneously make a production plan according to the actual results at work sites and based on the remaining processing time that is estimated and grasped from the results stored in a result master. SOLUTION: The results at work sites are inputted via a result collection device 3, and these result information are stored in real time in a result master 21. The lot input time is taken out by referring to the master 21 and in response to a schedule production instruction, and the remaining processing time is calculated by subtracting (present time - lot input time) from the processing time that is taken out of a process master 22. When this remaining time exists, an estimated schedule is automatically produced as the corresponding processing time. In regard of a new input lot, a schedule is automatically produced from the present time based on the processing time that is taken out of the master 22. These two schedules are added together and a new schedule is produced. In such a way, an accurate schedule is automatically produced based on the latest result information.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an automatic plan generation device for automatically generating a plan table based on actual record information.

[0002]

2. Description of the Related Art Conventionally, when a product is manufactured through a plurality of processes such as manufacturing of a thin film head, the schedule is manually prepared by listening to the production status of each process from the site.

[0003]

Conventionally, as described above, a production plan in a plurality of processes is manually drafted by listening to the production situation at the site, so that there are the following problems.

(1) When the production plan is drafted, since the production situation is heard from the site, there is a problem that an erroneous performance is reported and an erroneous production plan is drafted based on this. .

(2) Since a production plan is manually drafted, a lot of time is required, and there is a problem that an old and wasteful production plan tends to be already formed when the plan is created.

(3) The cycle for creating a production plan is
Conventionally, it is performed twice a week because it is done manually, and there is a problem in this cycle that it is not possible to create a plan that immediately responds to sudden accidents and delays in progress.

The present invention solves these problems.
The purpose is to predict the progress situation of the site from the actual results, to make a production plan based on the prediction, and to make a production plan immediately based on the actual results of the site.

[0008]

[Means for Solving the Problems] Means for solving the problems will be described with reference to FIG. In FIG. 1, the actual result master 21 collects and stores actual result information including a lot number at the start of production of a lot, an input time, and a process code.

The predicting means 14 predicts the remaining processing time from the loading time and the current time of the lot of each lot number in the performance information collected in the performance master 21.
The schedule creation unit 15 creates a schedule, a monthly schedule, etc. based on the remaining processing time and the like predicted by the prediction unit 14.

[0010]

The present invention, as shown in FIG.
The performance information including the lot number at the start of production of the lot, the input time, and the process code is collected and stored, and the prediction unit 14 stores the lot number of each lot number in the performance information collected in the performance master 21. The remaining processing time is predicted from the input time and the current time, and the schedule creation means 15 schedules or plans the month based on the predicted remaining processing time of each lot and the current time of the newly input lot. Is automatically generated.

Further, in response to the schedule table preparation instruction, the prediction means 14 predicts the remaining processing time from the input time and the current time of the lot of each lot number in the performance information collected in the performance master 21, and the schedule The table creating means 15 automatically creates a schedule table and a monthly planning table based on the remaining processing time of each lot.

Therefore, the actual results of the progress situation at the site are collected and saved in the actual result master 21, and the remaining processing time is predicted and grasped from the actual result information saved in the actual result master 21,
By making a production plan based on the forecast, it becomes possible to immediately make an accurate production plan (schedule, monthly schedule, etc.) based on the actual results at the site.

[0013]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Next, the construction and operation of an embodiment of the present invention will be sequentially described in detail with reference to FIGS.

FIG. 1 is a block diagram showing one embodiment of the present invention.
In FIG. 1, the performance collection device 3 is a PC installed on site.
It is a terminal such as a (personal computer) and is composed of a result input 31 and the like.

The actual result input 31 inputs information such as lot number, input time (the system automatically inputs), process code and the like (lot number, input time, process code, etc.) when starting production of a lot. To do. The input information (lot number, input time, process code, etc.) is transferred to the process management apparatus 2, and is collected and accumulated in the result master 21 in real time.

The process management device 2 manages the progress of the work of each process. Here, the information (lot number, input time, process code, etc.) from each process is collected and accumulated master 21. Or to store the result information accumulated in the accumulation master 21 to the processing device 1 to predict and automatically store a schedule or the like stored in the schedule master 23 for management. The report includes a master 21, a process master 22, a schedule master 23, a schedule 24, various reports 25, history information 26, a plan / execution difference report 27, and other reports 28.

The actual result master 21 collects and accumulates the actual results of each process from the actual result collecting device 3, and the input time, lot number, process code, etc. of a lot or a newly input lot are shown in FIG. It is collected and accumulated as shown in the record master 21. Since the actual time master 21 automatically collects the injection time, the lot number, and the process code at the start of manufacturing a lot or a newly introduced lot from each process, and collects and accumulates them in real time as current performance information, The latest performance information will always be accumulated.

The process master 22 is a process name (process code)
The processing time required to perform the work of the process, the machine ID to be used, and the like are registered in association with (see FIG. 4).

The schedule master 23 stores the schedule, and the processor 1 predicts the remaining processing time for each process based on the performance information accumulated in the performance master 21. The schedule table in which the remaining processing time is set for each process and the monthly planning table are stored. As shown in FIG. 5, which will be described later, the schedule table master 23 has date, time, and process names (B, C, etc.) set in association with lot numbers.

The schedule 24 is a display or print of the schedule stored in the schedule master 23. The various reports 25 are various reports created by referring to the schedule master 23 and the actual results master 21 and edited according to the purpose, and include history information 26, a plan / execution difference report 27, and other reports 28. It is a thing.

The history information 26 is obtained by extracting the past history with reference to the performance master 21 and editing it to make it easier to see. For example, it is information that summarizes the work status of a lot 001 from the past to the present in an easy-to-see manner.

The plan / execution difference report 27 is a report in which the schedule created by the processing apparatus 1 is compared with the record information accumulated in the record master 21 and the difference is easily edited. As a result, the plan based on the schedule created based on the remaining processing time predicted by the prediction means 14 based on the actual result information is compared with the actual actual result information,
It becomes possible to evaluate the schedule by easily editing and displaying the differences in the schedule according to the schedule.

The other reports 28 are reports created by editing the accumulation master 21 and the schedule master 23 according to the purpose. The processing device 1 receives the transfer of the performance information from the performance master 21, automatically predicts based on the performance information, and automatically generates a schedule table, a monthly plan table, and the like. 12, schedule master 13, forecasting means 14, and schedule creation means 15
It is composed of etc.

The work-in-progress master 11 registers and stores the remaining processing time, the process code, etc. predicted in association with the lot No. in process (see FIG. 7). Machine master 1
A machine ID 2 is registered in advance in association with a machine ID (group ID) (see FIG. 6).

The schedule table master 13 is a schedule table creating means 15
The schedule table and monthly plan table created by are registered (see FIG. 5). The predicting means 14 predicts the remaining processing time based on the record information transferred from the record master 21. In this prediction, for example, (the current time minus the input time) is subtracted from the processing time of the process set in the process master, and the remaining processing time is predicted.

The schedule creation means 15 creates a daily schedule or a monthly plan based on the remaining processing time for each process predicted by the prediction means 14 (FIG. 5). reference).

Next, the operation of the configuration of FIG. 1 will be described in detail according to the order shown in the flowchart of FIG. FIG. 2 shows a flowchart for explaining the operation of the present invention.

In FIG. 2, S1 inputs the actual result.
This inputs the actual result from the actual result input 31 of the actual result collection device 3 of FIG. For example, when starting the work of a lot, enter the following: ・ Input time: ・ Lot No: ・ Process code: ・ Others: as described on the right side. Here, as the input time, the time at the time of inputting the lot number is input (the system automatically inputs it). For the lot number, the in-process lot number is input or a new lot number is input. As the process code, the code of the process in which the work is performed is input for the lot number of the work in process or the new lot number. Input time, lot N
o, process code, etc. are shown in FIG.
As shown in the actual result master 21 of FIG.

In step S2, an instruction to create a schedule is given. As described on the right side, this is indicated, for example, by: ・ Preparation period: 1 week ・ New input lot: Here, the creation period is a period (one week) in which the itinerary is created. Newly input lot is to create a schedule for a newly input lot.

In step S3, the time from the lot loading time to the current time is predicted and stored in the in-process master 11. This is for the work-in-process lot that has already started work
With reference to 1, the presence / absence of the remaining processing time, and when there is the remaining processing time, the remaining processing time is calculated. For example, for the lot of lot No. “001”, refer to the result accumulation master 21 in FIG. 3. Lot No: 001 • Input time: May 31, 1995 13:00 • Process code: 100 Based on the process code “100”, the process master 2 of FIG.
The processing time "2 hours" is extracted with reference to 2.

The time elapsed from the input time to the current time is calculated. For example, assuming that the current time is 14:00, the elapsed time = current time "14:00" -input time "13:00" = 1 hour 00 is calculated.

Since the processing time is “2 hours”, the processing time up to the present is “1 hour 00 minutes”, so the remaining processing time is: remaining processing time = processing time required for processing− (Current time-input time) = 2 hours- (14: 00-13: 00) = 1 hour. That is, the remaining processing time could be predicted to be 1 hour. The information thus predicted is stored and saved in the in-process master 11 in FIG. 7 as shown below.

Lot No. Remaining processing time Process code 001 1.00 hours 100 S4 automatically generates a plan from the current time of the in-process lot and a plan from the current time of the new input lot. For this lot, a plan is made from the current time, that is, in the case of the lot predicted in S3, a plan that the remaining processing time is "1 hour" from the current time is prepared. On the other hand, for a newly input lot, if the process takes 2 hours from the current time, for example, a plan of 2 hours from the current time is drafted, and is set in, for example, the schedule master 13 in FIG. 5 described later. Plan to be At the time of planning, it is not possible to plan if the machine used in the process is not available, so a known planning method such as using an available machine is used with reference to the machine master 12 of FIG.

As described above, the actual result information is input from the actual result collection device 3 and the actual result information is accumulated in the actual result master 21 in real time, and the lot master is input in response to the schedule preparation instruction by referring to the accumulation master 21. The time is taken out, and the remaining processing time is obtained as the processing time taken from the process master 22- (current time-lot input time), and when there is this remaining processing time, a schedule table predicted as the remaining processing time is automatically created. Further, for a newly input lot, a schedule is automatically created at the processing time taken out from the process master 2 from the current time, and both are combined to create the schedule of FIG. This makes it possible to automatically create an accurate itinerary based on the latest performance information.

FIG. 3 shows an example of the result master of the present invention. As described above, the achievement master 21 has the achievement collecting device 3
The latest performance information input by the performance input 31 is stored. The actual time master 21 stores the charging time and the process code in association with the lot number as shown below.

Lot No. Input Time Process Code 001 95/5/31 13:00 100 FIG. 4 shows an example of the process master of the present invention. The process master 22 registers the processing time required for the process, the machine ID used for the process (group ID of the machine used), and the like in association with the process name (process code) as described below. To do.

Process Name (Process Code) Processing Time Machine ID Others A (100) 2 A ′ B (101) 3 B ′ C (102) 4 C ′ FIG. 5 shows an example of a schedule master of the present invention. This itinerary master 13 is assigned the lot number as shown in the figure below.
Set up a daily plan that has been planned in association with.

5/31 6/1 Lot No. 8 14 20 2 8 8 14 20 001 B C 002 A B C Here, the lot No. is the lot No. and the lot No. newly input. May 31st is May 31st. Below that, 8, 14, 20 are the time of the day, 8 o'clock, 14 o'clock,
It's 20:00. B, C, etc. are process names. For example, for “B”, the lot with the lot number “001” is set on May 3
Shows the schedule for the input at 8:00 on the day (After inputting at 8:00, the processing time for "B" is 2 hours with reference to B of the process master 22 in FIG. 4, so the processing ends at 10:00. However, in this itinerary, only the charging time is set to make it easy to understand. Internally, the next process is started after the predicted 10:00).

FIG. 6 shows an example of a machine master of the present invention. This machine master 12 has a machine ID as shown below.
A machine ID (individual ID) that can be used is registered in association with (a group ID of machines that can be used in the same process).

Machine ID (Group ID) Machine ID (Individual ID) A ′ A-1, A-2 B ′ B-1, B-2, B-3 C ′ C-1 This machine master 12 is provided. Machine ID used in process A set in schedule master 13
For "A '", an unused machine ID "A-2" or the like belonging to the group of the machine ID "A'" is assigned.

FIG. 7 shows an example of an in-process master of the present invention. FIG. 7A shows an example of an in-process master. This in-process master 1
1, the remaining processing time and the process code are registered in association with the lot number to manage the remaining processing time of the lot as described below.

Lot No. Remaining processing time Process code 001 1.0 hours 100 FIG. 7B shows a master creation procedure. Here, the inside of the square represents the process code, and the lot No. "001" represents the process sequence of manufacturing through the process code "100", "101", "102" ....

In this example, lot No: 001 input time 95/5/31 13:00 process code: 100 lot, remaining at process code "100" at the current time 95/5/31 14:00. The processing time is calculated as shown below.

Remaining processing time = process master processing time− (current time−input time) = 2 hours− (14: 00−13: 00) = 1 hour Therefore, "1 hour" is set in the column of the remaining processing time in (a) of FIG.

The process time of the process master is the process time "2" of the process code "100" of the process master 22 of FIG.
(The assigned machine is a machine I belonging to the "A '" group.
D Take out the empty machine (see FIG. 6) of "B-1", "B-2", and "B-3").

[0046]

As described above, according to the present invention,
A configuration that collects and saves the actual results of the on-site progress in the actual result master 21, predicts and grasps the remaining processing time from the actual results saved in the actual result master 21, and makes a production plan based on the prediction. Since it adopts, it is possible to make a production plan (schedule, monthly schedule, etc.) immediately based on the actual results at the site. As a result, (1) The actual result information is collected in real time by the actual result collecting device 3 and accumulated in the actual result master 21. Accurate and promptly based on the actual result information without the occurrence of mistakes in the conventional actual result report. It is now possible to make a production plan that reflects the actual results.

(2) The latest performance information for each lot is collected from the performance collection device 3 and accumulated in the performance master 21, and the remaining processing time is predicted based on the performance information for each lot, and the remaining processing is performed. Since a lot production plan (schedule, etc.) that reflects the time is automatically created, it is possible to automatically create a production plan that matches the current situation that reflects the remaining processing time predicted from the latest performance information for each lot. Becomes

(3) Since the production plan is automatically created based on the performance information, the conventional production plan drafting cycle was twice a week. However, the production plan is always immediately commensurate with the progress of the product. It became possible to automatically create.

[Brief description of drawings]

FIG. 1 is a configuration diagram of an embodiment of the present invention.

FIG. 2 is a flowchart explaining the operation of the present invention.

FIG. 3 is an example of a result master of the present invention.

FIG. 4 is an example of a process master of the present invention.

FIG. 5 is an example of a schedule table master of the present invention.

FIG. 6 is an example of a machine master of the present invention.

FIG. 7 is an example of an in-process master of the present invention.

[Explanation of symbols]

 1: Processing device 11: Work master 12: Machine master 13: Schedule master 14: Prediction means 15: Schedule creation means 2: Process management device 21: Actual master 22: Process master 23: Schedule master 24: Schedule 25 : Various reports 26: Historical information 27: Planning / execution difference report 28: Other reports 3: Actual collection device 31: Actual input

Claims (3)

[Claims] 1. A performance master that collects and stores performance information including lot numbers at the start of production of lots, input times, and process codes, and a lot of each lot number in the performance information collected in the performance master. Prediction means for predicting the remaining processing time from the input time and the current time of the lot, and a creating means for automatically generating a planning table based on the remaining processing time of each lot and the current time of the newly introduced lot. A plan automatic generation device characterized in that 2. The remaining processing time is predicted from the input time and the current time of the lot of each lot number in the performance information collected in the performance master by the prediction means in response to the plan table creation instruction, The production means automatically produces a plan table based on the remaining processing time of each lot.
Automatic plan generation device described. 3. The automatic plan generating apparatus according to claim 1, wherein the plan table is a daily schedule table or a monthly plan table.