JPH06290165A - Production scheduling equipment - Google Patents

Abstract

(57) [Abstract] [Purpose] It is possible to easily modify the knowledge in the system in consideration of the planning strategy of the person in charge of planning without the intervention of a knowledge engineering engineer to enable flexible production scheduling. [Structure] For the production request fetched and stored by the production request input unit 1, the parameter determination unit 3 corrects the planning knowledge based on the planning strategy of the person in charge of planning described by the user interface unit 4. By determining the parameters, the planning knowledge of the scheduling unit 2 can be easily corrected and flexible production scheduling can be realized without the intervention of a knowledge engineer.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a production scheduling device for scheduling production plans in factories of various industries.

[0002]

2. Description of the Related Art As a technique relating to an apparatus for scheduling a production plan of a factory, Japanese Patent Laid-Open No. 63-306861
A method for facilitating confirmation by displaying a manually drafted plan, such as Japanese Patent Publication, using a graphical user interface, and producing on a production line based on the planned production plan, such as Japanese Patent Laid-Open No. 2-53553. A method of instructing in real time, a method such as Japanese Patent Application Laid-Open No. 2-95549 that centrally manages constraint conditions to be considered when making a production plan, and efficiently changes plans, Japanese Patent Application Laid-Open No. 3-264250. While retaining the rule of thumb of the person in charge of planning as a knowledge base and using it for scheduling, an expert system method and Japanese Patent Laid-Open Nos. 3-67334 and 4-81968 are relaxed while weighted constraints are relaxed. There is a method of efficiently performing scheduling.

[0003]

[Problems to be Solved by the Invention] In factories of various industries, an increase in production varieties due to product diversification, an increase in types of raw materials and an increase in load required for arrangement and management thereof, and high added value of products The complexity of the production process has increased, and the complexity of production planning operations has increased due to the demand for production that can quickly respond to changes in demand trends.Therefore, there is a great need for automated production scheduling or support equipment. Is increasing.

Production scheduling is basically a combinatorial problem, and can be solved in principle by formulating it as an integer programming problem in integer programming. However, when this method is applied to actual problems, it is difficult to formulate it as a mathematical model because the objective function and constraints are too complicated. On the other hand, in recent years, an expert system method, in which the knowledge and know-how of a person in charge of planning is stored in a system and used to derive a suboptimal solution in a practical time, is being successful.

However, in the conventional production scheduling apparatus using the expert system method, modification of systematized knowledge requires a specialized engineer called a knowledge engineering engineer. Could not be changed to. On the other hand, in actual production scheduling, planning strategies such as evaluation criteria and intentions of planners often differ according to changes in demand trends. Therefore, there is a problem that the planning strategy of the planner for scheduling cannot be easily reflected in the knowledge in the system and flexible scheduling cannot be performed.

[0006] Further, since the production scheduling is originally closely related to the situation of the target production site, it is indispensable to take into consideration the production situation which changes day by day. However, the production schedule using the conventional expert system method is essential. However, there was a problem that they could not consider them at all.

Further, in the conventional production scheduling using the expert system method, since the revision history and the inference history of knowledge based on the planning strategy of the person in charge of planning are not stored, the planning strategy and the production situation are changed every time. There is a problem that similar processing is repeated.

A first object of the present invention is to easily modify the knowledge in the system in consideration of the planning strategy of the planner without the intervention of a knowledge engineering engineer, thereby enabling flexible production scheduling. Is.

A second object is to easily modify the knowledge in the systemization in consideration of the daily changing production situation without the intervention of a knowledge engineering engineer, thereby enabling flexible production scheduling.

A third purpose is to efficiently modify the knowledge in the systemization by utilizing the past planning cases accumulated in a reusable form when the planning strategy or the production situation changes. is there.

[0011]

A production scheduling apparatus of the present invention for achieving the first object described above describes a production request input section for inputting and storing a production request, and a planning strategy of a planning staff, A user interface section for displaying a planning result, a parameter determining section for determining parameters based on a planning strategy, and a scheduling section for automatically modifying planning knowledge based on the determined parameters and executing the planning Is.

The production scheduling apparatus of the present invention for achieving the second object describes a production request input section for inputting and storing production requests, a planning strategy of a person in charge of planning and various production situations, A user interface unit that displays the planning result, a parameter determination unit that determines parameters based on the planning strategy and production situation, and a scheduling unit that automatically corrects planning knowledge based on the determined parameters and executes the planning. Be prepared.

The production scheduling apparatus of the present invention for achieving the third object described above describes a production request input section for inputting and storing production requests, a planning strategy of a person in charge of planning, and various production situations. , A user interface unit that displays the planning result, a parameter determination unit that determines the parameter based on the planning strategy and the production situation, and a case search unit that stores the planning result as case data and searches the case when necessary when determining the parameter. And a scheduling unit that automatically corrects the planning knowledge based on the determined parameters and executes the planning.

[0014]

According to the first means, the parameter determination section provides the planning knowledge to the production request fetched and stored by the production request input section based on the planning strategy of the person in charge of the planning described in the user interface section. By determining the parameters to modify, without the intervention of a knowledge engineer,
It is possible to easily modify the planning knowledge of the scheduling section and realize flexible production scheduling.

In the second means, the parameters are determined for the production request taken in and stored by the production request input section, based on the planning strategy of the person in charge of planning defined by the user interface section and various production situations. By determining the parameters for the department to modify the planning knowledge, it is possible to easily modify the planning knowledge of the scheduling department and realize flexible production scheduling without the intervention of a knowledge engineer.

In the third means, even when the planning strategy and the production situation of the planning staff defined by the user interface section are changed with respect to the production request fetched and stored by the production request input section, the case retrieval section The parameter deciding unit can utilize the past planning cases retrieved by the above, decide parameters for correcting the planning knowledge, and efficiently correct the planning knowledge of the production schedule ring unit.

[0017]

【Example】

(Embodiment 1) Hereinafter, a first embodiment of the present invention will be described with reference to the drawings. FIG. 1 is a block diagram showing the overall configuration of a production scheduling apparatus for plastic parts, which is a first embodiment of the present invention.

In FIG. 1, reference numeral 1 is a production request input unit, 2 is a scheduling unit, 3 is a parameter determination unit, 4 is a user interface unit, and the scheduling unit 2 is a plan for storing knowledge such as a planning procedure and know-how in production scheduling. Knowledge storage area 21 and planning knowledge storage area 2
Parameter storage area 22 for storing parameters for automatically correcting the knowledge stored in 1 .; planning execution means 23 for executing planning while referring to planning knowledge storage area 21 and parameter storage area 22; and planning execution It is composed of a planning result storage area 24 for storing the result planned by the means 23.

The parameter determining unit 3 refers to the planning strategy storage area 31 for storing the planning strategy intended by the user and the planning strategy stored in the planning strategy storage area 31 to determine the parameters stored in the parameter storage area 22. It is composed of a parameter decision knowledge storage area 32 for storing the knowledge for executing, and a parameter decision means 33 for executing the parameter decision using the knowledge stored in the parameter decision knowledge storage area 32.

FIG. 2 is a diagram showing an example of the contents of the production request input section 1. The production request input section 1 stores a field for storing a production request number, a field for storing a part name in a production request, a field for storing a molding quantity of a part, a field for storing a delivery date of a part molding, and a finished product name of a molded part. It consists of fields to be stored.

FIG. 3 is a diagram showing an example of the contents of the planning strategy storage area 31. The planning strategy storage area 31 is composed of a field for storing an evaluation standard for planning and a field for storing a policy (priority) of a person in charge of planning for the evaluation standard.

FIG. 4 is a diagram showing an example of the contents of the parameter determination knowledge storage area 32. Parameter decision knowledge storage area 32
Consists of fields for storing knowledge names, fields for storing conditions, and fields for storing parameter setting policies.

FIG. 5 is a diagram showing an example of the contents of the parameter storage area 22. The parameter storage area 22 is composed of fields for storing parameter attributes and fields for storing parameter values.

FIG. 6 is a flow chart showing the flow of processing in the parameter determining means 33. The parameter determining means 33 for determining parameters will be described below with reference to the configurations of FIGS. 3 to 5 according to the flow of FIG. When the parameter determination means 33 starts operation (step 600), the planning strategy storage area 31 refers to the planning strategy (step 601) and collates with the knowledge stored in the parameter determination knowledge storage area 32 (step 60).
2). If there is knowledge to collate (step 60
3) Then, the knowledge is used to determine the value of each parameter (step 604). If there is no matching knowledge (step 603), the standard value is adopted as the value of each related parameter (step 605). The determined value of each parameter is stored in the parameter storage area 22 (step 60).
6) and terminate the parameter determining means 31 (step 60)
7).

FIG. 7 is a diagram showing an example of the contents of the planning knowledge storage area 21. The planning knowledge storage area 21 is composed of a field for storing a knowledge name, a field for storing a knowledge application status, and a field for storing a specific countermeasure content.

FIG. 8 is a diagram showing an example of the contents of the planning result storage area 24. The planning result storage area 24 is a field for storing the production request number, a field for storing the work name in the plan, a field for storing the tool name used in the work, a field for storing the machine name for the work, and the start of the work It is composed of a field for storing the time, a field for storing the end time of the work, a field for storing the number of parts molded by the work, and a field for storing the validity judgment result of the allocation plan.

FIG. 9 is a flowchart showing the flow of processing in the planning execution means 23. The planning execution means 23 for planning will be described below with reference to the configurations of FIGS. 2, 5, and 7 to 8 according to the flow of FIG.

When the planning execution means 23 starts the operation (step 900), the parameters are read from the parameter storage area 22 (step 901), the application priority of the knowledge stored in the planning knowledge storage area 21 is changed, and The planning knowledge is corrected by substituting the parameter value for the variable being referred to (step 902). Thereafter, the processes of steps 903 to 909 are performed with reference to the revised planning knowledge.

The production demands stored in the production demand input unit 1 are piled up on the machine to be used, the preliminary load is examined (step 903), and the machine with the largest load is selected (step 904). If the machine can be selected, the production requirements for the machine are sequenced using the planning knowledge (step 905). If there is no unprocessed machine and the selection fails, the process of the planning execution means 23 ends (step 909).

The production request having the highest priority is extracted from the ordered production requests (step 906). if,
If the production request cannot be selected, there is no production request for the machine under processing, and the process is repeated from step 904 to select the next machine. For the selected production request, an allocation plan indicating how many times and how many tools are to be allocated at which time is generated and stored in the planning result storage area 24 (step 907).

For the allocation plan, it is checked whether the constraint condition is satisfied (step 908). If the constraint condition is satisfied, the process is repeated from step 906 to fetch the next production request. If it is not satisfied, the value “false” is stored in the field for storing the validity judgment result of the allocation plan in the planning result storage area 24, and the process is repeated at step 907 to generate the allocation plan again.

As described above, according to the present embodiment, the parameter determining unit determines the parameter for correcting the planning knowledge based on the planning strategy of the person in charge of planning defined by the user interface unit. It is possible to easily modify the planning knowledge of the scheduling section and realize flexible production scheduling without the intervention of an engineer.

(Second Embodiment) A second embodiment will be described below with reference to the drawings. FIG. 10 is a block diagram showing the overall configuration of a production scheduling device for plastic parts according to the second embodiment of the present invention.

In FIG. 10, 1 is a production request input unit, 2 is a scheduling unit, 30 is a parameter determination unit, 40 is a user interface unit, and the scheduling unit 2 is a plan for storing knowledge such as a planning procedure and know-how in production scheduling. Planning is performed with reference to the knowledge storage area 21, the parameter storage area 22 that stores parameters for automatically correcting the knowledge stored in the planning knowledge storage area 21, and the planning knowledge storage area 21 and the parameter storage area 22. Planning execution means 23 to be executed, and planning execution means 23
Planning result storage area 2 for storing the results planned by
It is composed of 4.

The parameter determining unit 30 is stored in the planning strategy storage area 31 for storing the planning strategy intended by the user, the production status storage area 34 for storing various production statuses surrounding the scheduling, and the planning strategy storage area 31. A parameter determination knowledge storage area 32 for storing knowledge for determining a planning parameter stored in the parameter storage area 22 with reference to the planning strategy and the production status stored in the production status storage area 34, and a parameter determination knowledge storage area It is composed of parameter determining means 33 for executing parameter determination using the knowledge stored in 32.

2, 3, 4, 5, 7, 8 and 9 show the same contents as in the first embodiment.

FIG. 11 is a diagram showing an example of the contents of the production status storage area 34. The production status storage area 34 is composed of a field for storing an attribute representing the production status and a field for storing a value for the attribute.

FIG. 12 is a flow chart showing the flow of processing in the parameter determining means 33. Below, Figure 1
Parameter determining means 3 for determining parameters according to the flow of FIG. 2 while referring to the configurations of FIGS. 3 to 5 and 11.
3 will be described. When the parameter determination means 33 starts operation (step 1200), the planning strategy storage area 31
The planning strategy is referred to (step 1201), and the production status is referred to from the production status storage area 34 (step 1201).
2) Collate with the knowledge stored in the parameter determination knowledge storage area 32 (step 1203). If there is knowledge to be collated (step 1204), the value of each parameter is determined based on that knowledge (step 1205). If there is no matching knowledge (step 1204), the standard value is adopted as the value of each related parameter (step 12).
06). The determined value of each parameter is stored in the parameter storage area 22 (step 1207), and the parameter determining means 31 is terminated (step 1208).

As described above, according to the present embodiment, by providing the production status description means, the planning staff defined by the user interface unit can respond to the production request fetched and stored by the production request input unit. The parameter decision unit decides the parameters for modifying the planning knowledge based on the planning strategy and various production situations, so that the planning knowledge of the scheduling unit can be easily modified without the intervention of a knowledge engineer. Production scheduling can be realized.

(Embodiment 3) A third embodiment will be described below with reference to the drawings. FIG. 13 is a block diagram showing the overall configuration of a production scheduling device for plastic parts according to the third embodiment of the present invention.

In FIG. 13, 1 is a production request input unit, 2 is a scheduling unit, 30 is a parameter determination unit, 40 is a user interface unit, 5 is a case retrieval unit, and the scheduling unit 2 is a planning procedure and know-how in production scheduling. Planning knowledge storage area 21 for storing knowledge of
And a parameter storage area 2 for storing parameters for automatically correcting the knowledge stored in the planning knowledge storage area 21.
2, planning knowledge storage area 21 and parameter storage area 2
A planning execution means 23 for executing a planning with reference to 2.
It is composed of a planning result storage area 24 for storing the result planned by the planning execution means 23.

The parameter determination unit 30 is stored in the planning strategy storage area 31 for storing the planning strategy intended by the user, the production situation storage area 34 for storing various production situations surrounding the scheduling, and the planning strategy storage area 31. A parameter decision knowledge storage area 32 for storing knowledge for determining a parameter stored in the parameter storage area 22 with reference to the planning strategy and the production status stored in the production status storage area 34, and a parameter determination knowledge storage area 32. Parameter determining means 3 for performing parameter determination using the knowledge stored in
It consists of 3.

The case retrieval unit 5 indexes the cases based on the planning result stored in the planning result storage area 24 and the planning strategy stored in the planning strategy storage area 31 and the production status stored in the production status storage area 34. A case accumulating means 51 for accumulating while adding a case, a case index storage area 52 for storing an index given to a case by the case accumulating means 51,
It is composed of a case storage area 53 for storing a case and a case search means 54 for searching a case stored in the case storage area 53 based on a case search request made by the parameter determination means 33.

2, FIG. 3, FIG. 4, FIG. 5, FIG. 7, FIG. 8, FIG. 9, and FIG. 11 show the same contents as those described in the first and second embodiments.

FIG. 14 is a diagram showing an example of the contents of the case index storage area 52. The case index storage area 52 is composed of a planning strategy index, a production status index, and a planning result index, and is composed of a main index field, a sub index field, and a case set field, respectively.

FIG. 15 is a diagram showing an example of the contents of the case storage area 53. The case storage area 53 is composed of a case name field and a parameter set field.

FIG. 16 is a flow chart showing the flow of processing in the case accumulating means 51. Hereinafter, according to the flow of FIG. 16, FIG. 3, FIG. 5, FIG.
The case accumulating means 51 for accumulating cases will be described with reference to the configuration of 15.

Each time the scheduling section 2 completes the planning, the case accumulating means 51 is activated. Case storage means 5
When 1 starts its operation (step 1600), the parameters are read from the parameter storage area 22 (step 160).
1), 1 for the parameter set consisting of all parameter values
The case data is stored in the case storage area 53 (step 1602). A planning strategy is read from the planning strategy storage area 31 (step 1603), an index is added to the case stored in step 1602, and the case is stored in the case index storage area 52 (step 1604).

Next, the production status is read from the production status storage area 34 (step 1605), the case stored in step 1602 is indexed, and stored in the case index storage area 52 (step 1606). Finally, the planning result is read from the planning result storage area 24 (step 1
607), an index is added to the case stored in step 1602, the case is stored in the case index storage area 52 (step 1608), and the processing of the case accumulating unit 51 is ended (step 1609).

FIG. 17 is a flow chart showing the flow of processing in the case retrieval means 54. Hereinafter, the case search means 54 for searching for a case will be described with reference to the configurations of FIGS. 14 to 15 according to the flow of FIG.

The case retrieval means 54 is the parameter determination means 33.
It is activated by a search statement issued by. Case search means 5
4 starts operation (step 1700), the search sentence received from the parameter determining means 33 is decomposed into a partial search string which is the minimum search unit (step 1701). One partial search string is selected, collated with the case index stored in the case index storage area 52 (step 1702), and the searched case set is temporarily stored (step 1703).

If another partial search string remains (step 1704), the process is repeated from step 1702. If no other partial search string remains (step 1704), the frequency of each case appearing in the searched case set is calculated as the similarity of each case (step 1705). If one case with a high degree of similarity can be specified (step 1706), the case storage area 53 is searched for the parameter set of the corresponding case (step 17).
07).

If one case having a high degree of similarity cannot be specified (step 1706), the one having a better index for the planning result is selected (step 1708), and the parameter set of the corresponding case is selected from the case storage area 53. Search (step 1707). The processing of the case search means 54 is terminated (step 1709).

FIG. 18 is a flow chart showing the flow of processing in the parameter determining means 33. Below, Figure 1
3 to 5, 11 and 14 to 1 according to the flow of FIG.
The parameter determining means 33 for determining parameters will be described with reference to the configurations up to 5. When the parameter determination means 33 starts its operation (step 1800), the planning strategy storage area 31 refers to the planning strategy (step 180).
1) Referring to the production status from the production status storage area 34 (step 1802), a search formula for searching the case stored in the case storage area 53 is created (step 180).
3) The case is searched (step 1804). if,
If the search is successful (step 1805), the value of each parameter is determined based on the parameter set stored as the case (step 1806).

If the search fails (step 180)
5) Collate with the knowledge stored in the parameter determination knowledge storage area 32 (step 1807). If there is knowledge to be collated (step 1808), the value of each parameter is determined based on that knowledge (step 1809). If there is no matching knowledge (step 1808), the standard value is adopted as the value of each related parameter (step 18).
10). The determined value of each parameter is stored in the parameter storage area 22 (step 1811), and the parameter determining means 31 is terminated (step 1812).

As described above, according to this embodiment, the planning strategy and the production status of the person in charge of planning defined by the user interface section are changed with respect to the production request fetched and stored by the production request input section. Even in such a case, the past decision cases retrieved by the case retrieval unit can be utilized by the parameter determination unit to determine the parameters for correcting the planning knowledge, and the planning knowledge of the production schedule ring unit can be corrected efficiently.

[0057]

As described above, according to the first means, based on the planning strategy of the person in charge of planning defined by the user interface section for the production request fetched and stored by the production request input section. Since the parameter determining unit determines the parameter for modifying the planning knowledge, it is possible to easily modify the planning knowledge of the scheduling unit and realize flexible production scheduling without the intervention of a knowledge engineer.

According to the second means, the parameters for the production request fetched and stored by the production request input section are set based on the planning strategy of the person in charge of planning defined by the user interface section and various production situations. By the decision unit deciding the parameter for modifying the planning knowledge, it is possible to easily modify the planning knowledge of the scheduling unit and realize flexible production scheduling without the intervention of a knowledge engineer.

According to the third means, even if the planning strategy and the production situation of the planning staff defined by the user interface section are changed with respect to the production request fetched and stored by the production request input section, the case is changed. The parameter determination unit can utilize the past planning cases searched by the search unit to determine the parameters for correcting the planning knowledge, and efficiently correct the planning knowledge of the production scheduling unit.

[Brief description of drawings]

FIG. 1 is a block connection diagram showing an overall configuration of a production scheduling apparatus according to a first embodiment of the present invention.

FIG. 2 is a schematic diagram showing an example of contents of a production request input section in the embodiment.

FIG. 3 is a schematic diagram showing an example of contents of a planning strategy storage area in the embodiment.

FIG. 4 is a schematic diagram showing an example of contents of a parameter determination knowledge storage area in the embodiment.

FIG. 5 is a schematic diagram showing an example of contents of a parameter storage area in the same embodiment.

FIG. 6 is a flowchart showing the flow of processing in the parameter determining means in the same embodiment.

FIG. 7 is a schematic diagram showing an example of contents of a planning knowledge storage area in the embodiment.

FIG. 8 is a schematic diagram showing an example of the contents of a planning result storage area in the same embodiment.

FIG. 9 is a flowchart showing the flow of processing in the planning execution means in the embodiment.

FIG. 10 is a block connection diagram showing an overall configuration of a production scheduling device according to a second embodiment of the present invention.

FIG. 11 is a schematic diagram showing an example of contents of a production status storage area in the embodiment.

FIG. 12 is a flow chart showing the flow of processing in the parameter determining means in the embodiment.

FIG. 13 is a block connection diagram showing an overall configuration of a production scheduling apparatus according to a third embodiment of the present invention.

FIG. 14 is a schematic diagram showing an example of contents of a case index storage area in the same embodiment.

FIG. 15 is a schematic diagram showing an example of contents of a case storage area in the embodiment.

FIG. 16 is a flowchart showing the flow of processing in the case accumulating means in the embodiment.

FIG. 17 is a flowchart showing the flow of processing in the case search means in the embodiment.

FIG. 18 is a flowchart showing the flow of processing in the parameter determining means in the embodiment.

[Explanation of symbols]

 1 Production Request Input Section 2 Scheduling Section 3 Parameter Determining Section 4 User Interface Section 5 Case Study Section 21 Planning Knowledge Storage Area 22 Parameter Storage Area 23 Planning Execution Means 24 Planning Result Storage Area 30 Parameter Determination Section 31 Planning Strategy Storage Area 32 Parameter Determination Knowledge storage area 33 Parameter determination means 34 Production status storage area 40 User interface section 41 Planning strategy description means 42 Planning result display means 43 Production status description means 51 Case storage means 52 Case index storage area 53 Case storage area 54 Case search means

Claims (3)

[Claims] 1. A production request input unit for inputting and storing a production request, a planning knowledge storage area for storing a planning procedure and knowledge in production scheduling, and a parameter for modifying the knowledge stored in the planning knowledge storage area. A scheduling unit having a parameter storage area for storing, a planning execution means for executing a planning with reference to the planning knowledge storage area and a parameter storage area, and a planning result storage area for storing a result planned by the planning execution means, A planning strategy storage area for storing a planning strategy intended by the user, and parameter decision knowledge for storing knowledge for determining parameters stored in the parameter storage area with reference to the planning strategy stored in the planning strategy storage area Storage area, parameter determination for executing parameter determination using the knowledge stored in the parameter determination knowledge area A parameter determination unit having a setting unit, a planning strategy description unit for describing a planning strategy intended by the user and passing it to the parameter determination unit, and a planning result display for displaying a result planned by the scheduling unit as a diagram And a production scheduling device comprising a user interface unit having means. 2. A production request input section for inputting and storing a production request, a planning knowledge storage area for storing a planning procedure and knowledge in production scheduling, and a parameter for correcting the knowledge stored in the planning knowledge storage area. A scheduling unit having a parameter storage area for storing, a planning execution means for executing a planning with reference to the planning knowledge storage area and a parameter storage area, and a planning result storage area for storing a result planned by the planning execution means, The planning strategy storage area for storing the planning strategy intended by the user, the production status storage area for storing the production status regarding scheduling, the planning strategy stored in the planning strategy storage area and the production status stored in the production status storage area A parameter for storing knowledge for determining the parameters stored in the parameter storage area by referring to A parameter decision section having a meta decision knowledge storage area and a parameter decision means for executing parameter decision using the knowledge stored in the parameter decision knowledge area, and a planning strategy intended by the user is described and passed to the parameter decision section. A planning strategy description means for displaying the results planned by the scheduling section as a diagram, and a production status description means for describing the production status related to the scheduling and passing it to the parameter determination section. A production scheduling device including a user interface unit. 3. A production request input unit for inputting and storing a production request, a planning knowledge storage area for storing a planning procedure and knowledge in production scheduling, and a parameter for modifying the knowledge stored in the planning knowledge storage area. A scheduling unit having a parameter storage area for storing, a planning knowledge storage area, a planning execution means for executing a planning with reference to the parameter storage area, and a planning result storage area for storing a result prepared by the planning execution means. , A planning strategy storage area for storing a planning strategy intended by a user, a production status storage area for storing a production status regarding scheduling, a planning strategy stored in the planning strategy storage area and a production status stored in the production status storage area Parameter to store the knowledge for determining the parameter stored in the parameter storage area. A parameter decision section having a meta decision knowledge storage area and a parameter decision means for executing parameter decision using the knowledge stored in the parameter decision knowledge area, and a planning strategy intended by the user is described and received by the parameter decision section. A planning strategy description means for passing, a planning result display means for displaying the result planned by the scheduling section as a diagram, and a production status describing means for describing the production status regarding scheduling and passing it to the parameter determination section. A user interface unit having, and an index to the planning case based on the planning result stored in the planning result storage area, the planning strategy stored in the planning strategy storage area, and the production status stored in the production status storage area. The case accumulating means for giving and accumulating, and the index added to the plan cases by the case accumulating means are classified. A case search having a case index storage area, a case storage area for storing a plan case, and a case search means for searching a plan case stored in the case storage area based on a case search request made by the parameter determining means. Production scheduling device.