JP2005267183A - Production scheduling apparatus - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide the best schedule solution in a required minimum computing time. <P>SOLUTION: This production scheduling apparatus is for creating a production schedule for a manufacturing line and includes a production condition information recording device 520 for recording production condition information including operation information about production facilities in the manufacturing line and works-in-progress information, and a computing device 530 for calculating, on the basis of the production condition information, an expectation for time intervals at which a schedule is changed according to changes in production conditions, and for selectively creating a schedule for a period from the scheduling start time to a time obtained by adding the expectation for the time intervals at which the changes to scheduling arise. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

  The present invention relates to a technique for creating a work production schedule in a factory production line, and more particularly to a technique for creating a good scheduling result in a production line in a short time.

  In recent years, a production management method called JIT (Just In Time) is often used in factory production management. In this JIT, parts used in product assembly and the like are produced and supplied in accordance with the product assembly time to reduce parts inventory and reduce inventory management costs.

  Therefore, in such production management by JIT, it is necessary to determine the production schedule of parts and semi-finished products (work) in accordance with the production schedule of the product. Large factories use computers to determine production schedules for such products and parts.

  In a production line for manufacturing a semiconductor IC (Integrated Circuit), a liquid crystal display panel, a plasma CRT (Cathode Ray Tube), etc., the number of processing steps may reach several hundreds of steps. In this case, there are many types and many production facilities, and there are many work-in-process as semi-finished products. For each of these work pieces, it is necessary to instruct when to perform processing at the production facility. Production scheduling systems are often used because of the need for such instructions. A production scheduling system is disclosed in the following publication.

  JP-A-8-6632 (Patent Document 1) aims to create a schedule pattern for performing process scheduling based on accurate logistics calculation up to a lot unit in a job shop factory and performing optimal scheduling. A method for formulating the process processing order is disclosed. This method of formulating the process processing order at the job shop factory is a method for optimizing the process processing order for each lot while simulating logistics and work in progress for each lot for each process at the job shop factory. The step of creating an initial solution of the process processing order of each lot by a dispatching method that is selected based on a predetermined priority rule using discrete event simulation, and the initial solution is improved to an almost optimal solution by an iterative improvement method Including the step of.

  According to the method for establishing the process processing order in this job shop factory, the processing time of each process is not unequal time intervals, so when selecting the lot of the next process in a certain process using discrete event simulation, Is selected by a dispatching method that selects from one or two or more lots stored in (1) based on the priority rule. As a result, a simulation solution can be obtained efficiently without performing a large number of operations such as permutation combinations. An initial solution can be obtained by such a process, but since there is no guarantee that this is the optimal solution, it is possible to use another iterative improvement method (for example, by replacing the lots to be inserted in each process to create another processing procedure, A second solution is obtained (using a dispatching method that is selected based on a predetermined priority rule using discrete event simulation), and this iterative insertion method is repeated until the nth solution is obtained. Then, by comparing these n solutions, it is possible to obtain a process order closer to the optimum.

  Japanese Patent Laid-Open No. 11-221740 (Patent Document 2) discloses a rescheduling apparatus capable of automatically determining whether to change a schedule (rescheduling) and rescheduling itself when a production facility is abnormal. Is disclosed. This rescheduling device is a rescheduling device that detects the abnormality and changes the production schedule of the workpiece when an abnormality occurs in the production facility in a factory where a plurality of workpieces are produced by a plurality of production facilities. A rescheduling means for changing a work production schedule in a plurality of production facilities, an equipment abnormality detecting means for detecting an abnormality in the plurality of production facilities, an abnormality generating equipment detected by the equipment abnormality detecting means, The time when the production facility where the abnormality occurred was stopped due to the abnormality, the abnormality history storage means for accumulating the cause of the abnormality, and the abnormality was detected when the equipment abnormality detection means detected the abnormality of the production equipment. Search the past abnormality history of production equipment from the abnormality history storage means, determine whether there is the same abnormality cause, When the production facility where the abnormality is detected has been stopped for more than the reference time due to the same abnormality in the past, the time when the abnormality was stopped is compared with a preset reference time. Reschedule judging means for operating the rescheduling means.

  According to this rescheduling device, the abnormality that has occurred so far in the production facility is stored in the abnormality history storage means together with its cause and stop time, and when an abnormality is detected by the abnormality detection means, , Search for whether there has been an abnormality due to the same cause in the past, and if there is an abnormality due to the same cause in the past, if the stop time at that time is longer than the reference time, reschedule Therefore, when an abnormality occurs in a production facility, the stop time due to the abnormality is immediately predicted from the past abnormality history, and if it is expected to stop more than the reference time due to the abnormality that occurred, immediately Since rescheduling is started, there is no delay in determining rescheduling and the work production schedule can be changed appropriately. Uninaru.

  Japanese Patent Laid-Open No. 5-12302 (Patent Document 3) discloses an automatic method for resetting a production reference value that can automatically reset a reference value related to production in the manufacturing industry. This automation method for resetting production standard values consists of a plurality of computer systems, in which a production standard is initialized by a higher-level computer and manufacturing performance information is collected by a lower-level computer. The method includes the steps of automatically deriving a new production reference value using the management table and automatically correcting the reference value of the host computer.

  According to this automation method for resetting the production standard value, the standard value can be automatically reset, so that a production plan using the optimum standard value can be made. In addition, because of automatic setting, manual review of the reference value and setting man-hours can be reduced.

  Japanese Patent Laid-Open No. 8-22979 (Patent Document 4) discloses a production line configuration evaluation apparatus that automates optimization when designing and changing a production line.

  This production line configuration evaluation device includes a first input device for inputting non-production equipment information, a second input device for inputting equipment information, a third input device for inputting process flow information, and equipment model dimensions. Equipment part data creation device for inputting equipment shape information, a database updated by the inputted information, the number of production equipment necessary for the production line and the production period of the product are calculated based on the information of the database, Equipment capacity comparison that compares equipment capacity with a production line structure evaluation simulator that composes and evaluates work groups based on the calculated data, and a layout device that creates and corrects production line placement rule information and creates layout drawings. Including the device.

According to this production line configuration evaluation apparatus, the production period and the number of facilities can be calculated and the production line configuration can be automatically corrected. As a result, (1) the production line configuration can be changed to quickly search for a production line plan with a short production period and a small number of required equipment, and (2) grasping before the capacity neck facility starts up the production line. Yes, and countermeasures can be taken from the start of the line.
JP-A-8-6632 JP-A-11-221740 JP-A-5-12302 JP-A-8-229779

  However, the process processing order formulation method disclosed in Patent Document 1 has the following problems. As the number of groups increases, the number of simulations increases significantly. Specifically, when the number of groups is N, it is necessary to repeat the simulation for all group combinations, that is, N factorial (N!) Times. This increases the calculation time. To reduce the calculation time, the number of works included in one group may be increased to reduce the number of groups. In such a case, the processing order of many works is determined by the dispatching rule, so that the effect of this simulation of selecting the best one from many conceivable cases is hardly exhibited. That is, there is a trade-off problem that it becomes difficult to obtain a good scheduling solution as the calculation target increases.

  The rescheduling device disclosed in Patent Document 2 is merely related to a technology for detecting an abnormality in a production facility and performing rescheduling, and the automatic method for resetting the production reference value disclosed in Patent Document 3 is a production method. It is only related to a technique for checking the error between the reference information and the actual information and changing the reference information. Therefore, in these techniques, scheduling is not performed assuming that a schedule change occurs in advance.

  Further, the production line configuration evaluation apparatus disclosed in Patent Document 4 is merely related to a technique for automating optimization when designing and changing a production line. This apparatus is designed in advance with respect to the buffer capacity and production facility capacity of the production line using a production line configuration simulator, but does not perform scheduling assuming that a schedule change occurs in advance.

  That is, a schedule change that cannot be anticipated at the time of creating a schedule always occurs in a general production line. Scheduling on the assumption that all production facilities are always in a normal state can only obtain results that deviate from reality. None of the technologies related to scheduling described in any of the above-mentioned patent documents can calculate a schedule that assumes such an unexpected situation and schedule change. Therefore, once the schedule goes wrong, it becomes difficult to execute the schedule result, and at that time, it becomes necessary to create a schedule according to the new situation and recalculate. That is, even if the schedule is calculated using a great amount of time and computer resources for scheduling, the scheduling result after the schedule change becomes useless.

  This schedule change occurs more frequently in production lines where the operation of production facilities is more unstable, with shorter occurrence intervals. However, in order to obtain a good (high accuracy) schedule solution, a certain amount of calculation time is required. In other words, in a production line with such unstable operation, even if it takes a long time to recalculate in order to obtain a good scheduling solution, it may be necessary to recalculate High nature. In such a case, a schedule in the future that is longer than the time at which the next schedule change is expected to occur, that is, a schedule having a period longer than the occurrence time interval of the schedule change, is wasted and wastes calculation time. There is a possibility that.

  The present invention has been made to solve the above-described problems, and an object of the present invention is to provide a production schedule apparatus capable of obtaining the best schedule solution with the minimum necessary calculation time. .

  The production schedule device according to the present invention is a device for creating a production schedule in a production line, and in the production facility in the production line, an acquisition means for acquiring production status information including operation information and in-process information, Based on the production status information, the calculation means for calculating the expected value of the time interval when the schedule change occurs due to the change of the production status, and the time from the scheduling start time to the time when the expected value of the time interval when the schedule change occurs is added Creating means for creating a schedule for the period of time.

  More preferably, the calculation means includes the number of production facilities on the production line, the time when the production facility stops due to an unexpected situation, the degree to which the production facility stops due to an unexpected situation, the operation rate of the production facility on the production line, and the production line Include a means to calculate the expected value of the time interval based on the processing time of the production equipment, the waiting time before processing the production equipment on the production line, and the number of workpieces on the production equipment on the production line Also good.

  More preferably, the creating unit may include a unit for creating a schedule for a period from a scheduling start time to a time obtained by adding an expected value of a time interval at which a schedule change occurs.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. In the following description, the same parts are denoted by the same reference numerals. Their names and functions are also the same. Therefore, detailed description thereof will not be repeated.

  With reference to FIG. 1, the structure of the production schedule apparatus which concerns on embodiment of this invention is demonstrated.

  The production schedule device includes an input device 510, a production status information recording device 520, an arithmetic device 530, an output device 550, and a cable 540 that connects these devices to each other. The input device 510 is used by an operator to input operation statistics information and work-in-progress information on production facilities in the production line and perform browsing, deletion, and correction by the operator. Data including these operation statistics information, work-in-progress information, and the like is recorded in the production status information recording device 520 via a local area network (LAN) cable 540 connected to the input device 510. .

  The arithmetic device 530 calculates an expected value of the occurrence time interval of the schedule change. In addition, the arithmetic device 530 calculates a production schedule. In the arithmetic device, by executing a program created in advance, the expected value of the time interval for changing the schedule is calculated, or the production schedule is calculated. A production schedule, which is a calculation result by the calculation device 530, is output from the output device 550. Thereby, the operator can know the information regarding a production schedule.

  In the configuration example shown in FIG. 1, the input device 510, the output device 550, the production status information recording device 520, and the arithmetic device 530 are shown as being connected by a cable 540. It can also be realized with a computer. The cable 540 is not limited to a LAN, and may be the Internet, for example.

  FIG. 2 shows an example of another configuration of the production schedule apparatus according to the embodiment of the present invention. Compared to the configuration shown in FIG. 1, the difference is that the equipment controller 610 is included. The equipment controller 610 communicates with the production equipment group 650 in the production line, acquires production status information such as production equipment operation information and work-in-progress information, and sends these production status information via the LAN cable 640. It is recorded in the production status information recording device 620. Note that the arithmetic device 630 corresponds to the arithmetic device 530 in FIG. 1 and executes a program for calculating an expected value of the time interval for changing the schedule and calculating production scheduling.

  With reference to FIG. 3, a control structure of a program executed by the arithmetic device 530 shown in FIG. 1 or the arithmetic device 630 shown in FIG. 2 for realizing the production schedule device will be described.

  In step (hereinafter, step is abbreviated as S) 110, the production schedule device executes the input of production status information. In S110, production status information including operation statistical information of production facilities in the production line, work-in-progress information, and the like is input by the operator. In addition, in the case shown in FIG. 2, production status information including production facility operation statistical information and work-in-progress work information in the production facility group 650 is input via the facility controller 610 without an operator.

  In S120, the production schedule device calculates an expected value of the schedule change occurrence interval. A detailed calculation method in S120 will be described later.

  In S130, the production schedule device preferentially creates a schedule in a period from the scheduling start time to the time added with the expected value of the time interval at which the schedule change calculated in S120 occurs.

  With reference to FIG. 4, the control structure of the program executed by the production schedule apparatus according to the present embodiment will be described. Note that the flowchart shown in FIG. 4 shows the schedule creation step of S130 of FIG. 3 executed by the arithmetic device 530 or the arithmetic device 630.

  In S1310, the production schedule device receives the expected value of the schedule change occurrence time interval. This is performed by inputting an expected value of the occurrence time interval of the schedule change calculated by a calculation method described later by an operator or passing data between programs.

  In S1320, the production schedule device monitors the change in production status in the production facility and determines whether or not a schedule change such as a sudden facility failure has occurred. If a schedule change occurs (YES in S1320), the process proceeds to S1340. Otherwise (NO at S1320), the process proceeds to S1330.

  In S1330, the production schedule device compares the current time with the review time and determines whether the review time has been reached. If the current time has reached the review time, there is no need to change the plan, but it is necessary to perform rescheduling to maintain a good schedule solution. This is because the current schedule is focused on the period from the previous scheduling time to the time (that is, the current time) plus the expected time interval for the schedule change to occur. This is because scheduling may not be good. If the current time has reached the review time (YES at S1330), the process proceeds to S1340. If not (NO in S1330), the process returns to S1320.

  In S1340, the production schedule device executes a scheduling process. In S1350, the production schedule device executes setting of the review time for the next schedule. Thereafter, the process returns to S1320.

  The operation of the production schedule apparatus according to the present embodiment based on the above-described structure and flowchart will be described.

  In describing the operation, a process for calculating the expected value of the schedule change occurrence time interval will be described. First, how schedule changes occur is shown below.

  FIG. 5 shows a situation where the workpiece 210 just completes the machining process at a certain production facility (A) 240 at time t = 0. In the next process of the workpiece 210, the workpiece 220 and the workpiece 230 are waiting for the order of receiving the processing in the production facility (B) 250. If the work 210 completes the processing in the production facility (A) 240 as scheduled, the work 210 waits for the turn after the work 230, and the production execution is performed as planned in the order of the work 220 → the work 230 → the work 210. It should be done.

  FIG. 6 shows a state where some trouble (for example, a sudden production facility failure) occurs after the state shown in FIG. 5 and the completion of the work 310 at the production facility (A) 240 is delayed. However, at this time, if the workpiece 310 can arrive at the production facility (B) 250 of the next process before the workpiece 320 is completed at the production facility (B) 250, the schedule is not changed.

  FIG. 7 shows the state after FIG. The case where the arrival of the workpiece | work 410 is further delayed than the state of FIG. Even in this case, if the production facility (B) 250 has some load margin time, it is possible to wait for the arrival of the workpiece 410 within the margin. However, if the arrival of the workpiece 410 is delayed beyond the load margin time range of the production facility (B) 250 after the completion of the workpiece 420, the production facility (B) 250 no longer waits for the workpiece 410. Can not. It is necessary to select another work (for example, work 430) that should have been started after the work 410 and execute the production. At this time, the schedule will be reviewed. However, although there is a risk that the workpiece 410 is always involved in trouble, there is no necessity that it always gets involved. On the other hand, even if the workpiece 410 is fortunately not involved in the trouble, the next workpiece 440 may encounter a trouble immediately. Alternatively, it is also conceivable that the workpiece 410 that has escaped the trouble in the production facility (A) 240 is involved in the trouble in the production facility (B) 250.

From the above, when summarizing the possibility of schedule changes in the production line,
(1) The longer the elapsed time from the end of scheduling, the greater the probability that a schedule change will occur.
(2) The greater the number of troubles (probability), the greater the probability that a schedule change will occur.
(3) The longer one trouble time, the more likely the schedule change will occur.
(4) The larger the production line with more production facilities, the more likely the schedule changes.
(5) The less work in progress, the more likely the schedule change will occur (because there are fewer work in progress, there will be no time margin for the arrival and start timing of the work in the next process, and the arrival in the next process) Because it is impossible to absorb the delay of
(6) The smaller the load margin of the production equipment (that is, the higher the load and the higher the production line), the more likely the schedule change will occur (because there is a sufficient load, the production equipment will be idled). Even because you can wait for a late arrival work)
There is a relationship. In the schedule device according to the embodiment of the present invention, for example, the probability described below is calculated using the method described below.

  First, the arrival delay allowable time for the next process production facility of each workpiece is calculated. The total number of production facilities on the production line is Sta (units), the average outage time of one trouble is MTTR (Hr), the average failure (trouble) rate per unit of production facilities ν, and the production facilities are in operation Idle is the idle time rate for idle operation because workpieces do not arrive in spite of possible states, and RPT (Hr) is the average machining processing time per process in production equipment (not including failure stop time in the middle) The average waiting time before processing of the production equipment per process per work is Wait (Hr), and the total number of processes that all works progress per day is Move.

  At this time, the arrival delay allowable time ε (Hr) for the next process production equipment of each work is expressed as “average waiting time before processing of production equipment per work per work (Wait)” and “per work per work. Because it is the sum of the "device free time allowed"

で表わすことができる。

It can be expressed as

  Next, the expected value of the time at which each workpiece arrives late with respect to the next process production facility is calculated. The total time that a work is involved in trouble within the period from time 0 to t is affected by how many troubles the work encounters during the time from time 0 to t. If the number of all work-in-process workpieces in the production line is WIP (pieces), the number of processes c that can progress during the period from time 0 to time t is

である。

It is.

  Further, the probability of being involved in n troubles when passing through a production facility having an average failure rate ν is represented by BIN (n, c, ν), and this BIN (n, c, ν) is regarded as a Bernoulli trial. If

である。

It is.

  By the way, the time to stop due to a single trouble is often approximated by an exponential distribution. FIG. 8 shows the frequency of occurrence of a stop time due to a trouble in a certain production facility. If this is utilized, the sum of the time to stop by n troubles can be approximated to the sum of n exponential distributions, that is, the Γ distribution with parameter α = n. FIG. 9 shows the probability distribution of the stop time when the trouble occurs once and twice. If the average stop time of one time is involved n times in the trouble of MTTR (Hr), the time when the progress stops due to the trouble is less than or equal to ε is the lower probability of X ≦ ε of Γ distribution Can be expressed as GAM (ε, n, MTTR / n).

  From the above, if the probability that the total time that one work is involved in trouble within the period from time 0 to time t is ε or less, that is, the probability that no schedule change occurs is R (t, ε),

で表わすことができる。

It can be expressed as

  Here, the number of workpieces that move within the period from time 0 to time t is:

である。これらのすべてのワークがトラブルに巻き込まれる総時間がε以下にならなければ、スケジュールの変更が発生する。つまり、時刻ｔまでにスケジュールの変更が発生する確率をＰ（ｔ）とすれば、

It is. If the total time during which all these works are involved in trouble does not fall below ε, a schedule change occurs. In other words, if the probability that a schedule change will occur by time t is P (t),

となる。そしてスケジュール変更が発生する時間間隔の期待値Ｅ（Ｈｒ）は、十分な大きな値Ｋ（たとえば２４Ｈｒ）を用いて、

It becomes. And the expected value E (Hr) of the time interval at which the schedule change occurs uses a sufficiently large value K (for example, 24 Hr),

となる。このような計算を行なうことで、スケジュール変更が発生する時間間隔の期待値Ｅを計算することができる。この計算方法に具体的な数値例を代入して説明する。ここでＳｔａ＝１００、ＭＴＴＲ＝３、ν＝５％、Ｉｄｌｅ＝１０％、ＲＰＴ＝２、Ｗａｉｔ＝３、Ｍｏｖｅ＝１０００、ＷＩＰ＝２０５とすれば、各ワークの次工程生産設備に対する到着遅れ許容時間ε＝３．２４となる。このときの時刻ｔまでにスケジュールの変更が発生する確率Ｐ（ｔ）の確率分布関数を図１０に示す。これによれば、スケジュール変更が発生する時間間隔の期待値Ｅ＝１．０（＝６０分）となる。

It becomes. By performing such a calculation, an expected value E of a time interval at which a schedule change occurs can be calculated. This calculation method will be described by substituting a specific numerical example. Here, if Sta = 100, MTTR = 3, ν = 5%, Idle = 10%, RPT = 2, Wait = 3, Move = 1000, and WIP = 205, the arrival delay for the next process production equipment of each workpiece is allowed. Time ε = 3.24. FIG. 10 shows a probability distribution function of the probability P (t) that the schedule is changed by time t at this time. According to this, the expected value E = 1.0 (= 60 minutes) of the time interval at which the schedule change occurs.

  FIG. 11 is an example of production facility operation statistical information. In this example, each operation statistical information such as the total number of production facilities in the production line, the average trouble stop time, the average trouble rate, the idle operation rate, the average processing time, etc. in a certain period that has been agreed in advance in the production line is displayed. include.

  FIG. 12 shows an example of work-in-progress information. In this example, in-process work information such as the average number of work in progress in a certain period that has been agreed in advance in the production line, the total number of average work progresses, and the average waiting time before processing is included. Such information can be directly registered by the operator, or can be calculated after automatically collecting operation data from each production facility in the production line. By using such statistical data, the amount of data is small compared to the method using detailed operation information of all production facilities as seen in simulation methods, etc., so the storage capacity of the information recording device should be reduced. Can do. Specifically, in the case of a production line having 1000 production facilities, the operation statistics information is only one, and the capacity is 1/1000 as compared with the case of storing information on all production facilities. Using the information shown in FIG. 11 and FIG. 12, the schedule change occurrence interval expected value E is calculated using the above-described formula, and scheduling is focused from the current time to the time obtained by adding the schedule change occurrence interval expected value. As shown in FIG. 13, for all production facilities and all work-in-progress, the time from the scheduling start time to the time when the schedule change occurs is sequentially calculated from the near time to the future. Specifically, in the example shown in FIG. 10, the scheduling target period calculated by the production scheduling apparatus may be calculated for a future period of the expected value E (1.0 hour) at most. You can save a lot of time.

  As described above, according to the production schedule apparatus according to the present embodiment, the time interval at which the schedule change occurs is predicted in advance by the calculation formula, and the period until the next schedule change occurs Therefore, it is possible to assign a calculation amount of scheduling intensively. As a result, it is possible to obtain a schedule solution that is as good as possible within a limited time. Specifically, in situations where it is difficult to execute schedule results (that is, production lines with stable production equipment operations), a long scheduling time interval is set to obtain the best possible schedule solution. However, in a situation where it is likely that the execution of the schedule result will be difficult (that is, a production line where the operation of the production facility is unstable), scheduling can be performed with a short scheduling time. Conventionally, such a situation in which execution of the schedule result is difficult can change even in the same production line, and the time interval of schedule change cannot be uniquely determined in advance. However, according to the schedule device according to the present embodiment, it is possible to constantly monitor the status of the production facility, calculate the expected value of the time interval at which the schedule change occurs, and calculate the scheduling up to the expected value with priority. it can. As a result, after calculating in advance the time interval at which the schedule change occurs, each schedule is variably and automatically calculated from the current time to the time obtained by adding the time interval. The best schedule solution can be obtained with the minimum calculation time required on the production line.

  The embodiment disclosed this time should be considered as illustrative in all points and not restrictive. The scope of the present invention is defined by the terms of the claims, rather than the description above, and is intended to include any modifications within the scope and meaning equivalent to the terms of the claims.

It is a figure (the 1) which shows the structure of the production schedule apparatus which concerns on embodiment of this invention. It is a figure (the 2) which shows the structure of the production schedule apparatus which concerns on embodiment of this invention. It is a flowchart (the 1) which shows the control structure of the program performed with the production schedule apparatus which concerns on embodiment of this invention. It is a flowchart (the 2) which shows the control structure of the program performed with the production schedule apparatus which concerns on embodiment of this invention. FIG. 6 is a diagram (part 1) for explaining a situation in which a schedule change occurs. FIG. 6 is a diagram (part 2) for explaining a situation in which a schedule change occurs. FIG. 10 is a diagram (No. 3) for describing a situation in which a schedule change occurs. It is a figure which shows generation | occurrence | production frequency of the time stopped by the trouble of a production facility. It is a figure which shows the probability distribution of a stop time in case a trouble occurs once and twice. It is a figure which shows the numerical example of the probability that a schedule change will occur. It is a figure which shows the operation statistics information of a production facility. It is a figure which shows the work-in-progress information of a production facility. It is a figure for demonstrating the scheduling method in the production schedule apparatus which concerns on embodiment of this invention.

Explanation of symbols

  210, 220, 230, 310, 320, 410, 420, 430, 440 Work, 240 Production equipment (A), 250 Production equipment (B), 260 Production equipment (C), 510 Input device, 520, 620 Production status information Recording device, 530, 630 arithmetic device, 540, 640 cable, 550 output device, 610 equipment controller, 650 production equipment group.

Claims (10)

A production schedule device in a production line,
An acquisition means for acquiring production status information including operation information and work-in-progress information in the production equipment in the production line;
Based on the production status information, calculation means for calculating an expected value of a time interval at which a schedule change occurs due to a change in production status;
A production schedule device comprising: a creation unit for creating a schedule for a period from a scheduling start time to a time obtained by adding an expected value of a time interval at which the schedule change occurs.   The production schedule device according to claim 1, wherein the calculation unit includes a unit for calculating an expected value of the time interval using the number of the production facilities in the production line as one factor.   The production schedule device according to claim 1, wherein the calculation unit includes a unit for calculating an expected value of the time interval with a time when the production facility is stopped due to an unexpected situation as one factor.   The production schedule device according to claim 1, wherein the calculation unit includes a unit for calculating an expected value of the time interval based on a degree that the production facility stops due to an unexpected situation as one factor.   The production schedule device according to claim 1, wherein the calculation unit includes a unit for calculating an expected value of the time interval by using an operation rate of the production facility in the production line as one factor.   The production schedule device according to claim 1, wherein the calculation unit includes a unit for calculating an expected value of the time interval using a processing time of the production facility in the production line as one factor.   The production schedule apparatus according to claim 1, wherein the calculation unit includes a unit for calculating an expected value of the time interval using a waiting time before processing of the production facility in the production line as one factor.   The production schedule device according to claim 1, wherein the calculation unit includes a unit for calculating an expected value of the time interval by using a number of workpieces in the production facility in the production line as one factor. .   The calculation means is the number of the production equipment in the production line, the time when the production equipment stops due to an unexpected situation, the degree that the production equipment stops due to an unexpected situation, the operating rate of the production equipment in the production line, Expected time interval due to the processing time of the production facility in the manufacturing line, the waiting time before the processing of the production facility in the manufacturing line, and the number of workpieces in the production facility in the manufacturing line 2. The production schedule device according to claim 1, comprising means for calculating a value.   The creation means includes means for intensively creating a schedule for a period from a scheduling start time to a time obtained by adding an expected value of a time interval at which the schedule change occurs. The production schedule device described.

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