Apparatus and method for production planning

• US 5,280,425 A
• Filed: 07/26/1990
• Issued: 01/18/1994
• Est. Priority Date: 07/26/1990
• Status: Expired due to Term

• Current Assignee: Texas Instruments, Inc.
• Original Assignee: Texas Instruments, Inc.
• Inventors: Hogge, John C.
• Primary Examiner(s): Envall, Jr., Roy N.
• Assistant Examiner(s): Poinvil, Frantzy
• Application Number:
  US07/558,970
• Time in Patent Office: 1,272 Days
• Field of Search: 364/401-406, 364/468, 364/200 MS File
• US Class Current: 712/300
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: Y02P 90/02 Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

Apparatus and method for production planning in a manufacturing facility is provided. The apparatus and method generates a plurality of theoretical plans and a constraint-based model for receiving one of the theoretical production plans, and applying at least one constraint thereto. Further, a cost function is computed for the theoretical production plans. Then, the apparatus and method searches for a feasible production plan among the plurality of theoretical plans, where the feasible plan is the plan which does not violate the applied constraint and has the least computed cost function.

Claims

1. Apparatus for production planning in a manufacturing facility, comprising:

means for generating a plurality of theoretical plans;

a constraint-based model for receiving one of said theoretical production plans, and applying at least one constraint thereto;

means for computing a cost function per addition to work in response to said theoretical production plan; and

heuristic means for searching for a feasible production plan among said plurality of theoretical plans, said feasible plan within said applied constraint and having the least computed cost function value per addition to work.

2. The apparatus, as set forth in claim 1, wherein said constraint-based model applies a plurality of constraints to each of said theoretical production plan, and said feasible plan is within said plurality of constraints.

3. The apparatus, as set forth in claim 1, wherein said constraint-based model comprises means for applying a production capacity constraint of said manufacturing facility to said theoretical plan, said manufacturing facility having at least one machine and wherein said capacity constraint applying means further includes:

means for storing and providing an availability of each machine;

means for controlling an amount of work-in-process;

means for storing and providing a number of work hours of said manufacturing facility; and

means for receiving said machine availability, work-in-process and work hours and computing the maximum amount of usage of said machine.

4. The apparatus, as set forth in claim 3, wherein said capacity constraint applying means includes:

means for storing and providing an amount of usage per machine; and

means for receiving said machine usage and computing an amount of current usage per machine in response thereto.

5. The apparatus, as set forth in claim 4, said capacity constraint applying means further comprises means for formulating said production capacity of said manufacturing facility in response to said maximum usage per machine and said current usage per machine.

6. The apparatus, as set forth in claim 1, wherein said constraint-based model comprises means for applying a constraint describing the amount of surplus that is feasibly produced by said manufacturing facility.

7. The apparatus, as set forth in claim 6, said manufacturing facility producing at least one type of product, and wherein said surplus feasibility constraint applying means further comprises:

means for computing expected surplus per product type in response to said theoretical production plan; and

means for formulating said surplus feasibility constraint in response to said computed expected surplus.

8. The apparatus, as set forth in claim 1, wherein said manufacturing facility manufactures in units of a fixed number and also in partial units of a number less than said fixed number, wherein said constraint-based model comprises means for applying a constraint describing the number of partial production units that may be feasibly initiated by said manufacturing facility.

9. The apparatus, as set forth in claim 8, wherein said partial unit feasibility constraint applying means comprises:

means for computing the number of units that are required in response to said theoretical production plan;

means for computing the number of partial units that are required in response to said theoretical production plan; and

means for formulating said partial unit feasibility constraint in response to said computed number of units and partial units required for said theoretical production plan.

10. The apparatus, as set forth in claim 1, said manufacturing facility producing at least one type of product, and wherein said cost function computing means comprises:

means for computing an expected yield per product type;

means for receiving customer demand;

means for computing a push cost per product type in response to said computed expected yield and said received customer demand;

means for computing a pull cost per product type in response to said computed expected yield and said received customer demand; and

means for computing a cost function of said production plan in response to said computed push and pull costs.

11. The apparatus, as set forth in claim 2, wherein said theoretical production plan generating means comprises:

means for modifying a theoretical plan and generating a plurality of children theoretical plans;

constructing a tree having said theoretical production plan as a root node and said plurality of children theoretical production plans as leaf nodes.

12. The apparatus, as set forth in claim 11, wherein said heuristic searching means further comprises:

means for discarding any leaf node containing a children theoretical production plan which contradicts said plurality of applied constraints;

means for selecting from among remaining leaf nodes a theoretical production plan which incurs the least cost; and

means for providing a solution production plan all of whose children production plans contradict said applied constraint.

13. Apparatus for production planning in a manufacturing facility, said facility manufactures quantities of at least one type of product to meet customer demand, said apparatus comprising:

means for determining a production plan including the quantities and types of product;

means for computing the capacity of said factory in order to produce said determined quantities and types of product;

means for computing the maximum factory capacity;

means for comparing said computed production capacity with said maximum factory capacity;

means for computing the cost of producing said determined quantities and types of product per addition to work in response to said computed production capacity being less than or equal to said maximum factory capacity; and

means for selecting a production plan that incurs the least cost per addition to work.

14. The apparatus, as set forth in claim 13, further comprising means for receiving the quantities and types of product demanded by customers.

15. The apparatus, as set forth in claim 14, further comprising means for computing a surplus feasibility constraint that describes the quantities and types of product which are expected to yield large surpluses when compared to said customer demand.

16. The apparatus, as set forth in claim 15, wherein said cost computing means computes said production cost in response to said determined quantities and types of product generating smaller surpluses as compared with said surplus feasibility constraint.

17. The apparatus, as set forth in claim 13, wherein said capacity computing means further comprises:

means for modeling the machine capacity in said manufacturing facility; and

means for computing machine usage required for said quantities and types of product using said machine capacity model.

18. The apparatus, as set forth in claim 17, wherein said capacity computing means further comprises:

means for storing and supplying machine availability data;

means for storing and supplying the number of work hours of said manufacturing facility;

means for computing the work-in-process workload; and

means for computing the maximum usage per machine in response to said machine availability data, number of work hours and work-in-process workload.

19. The apparatus, as set forth in claim 13, wherein said cost computing means further comprises means for computing the push cost incurred by not producing enough quantities to meet the customer demand.

20. The apparatus, as set forth in claim 19, wherein said cost computing means further comprises means for computing the pull cost incurred by producing ahead of scheduled delivery time.

21. The apparatus, as set forth in claim 20, wherein said cost computing means further comprises means for summing said push and pull cost to determine a total plan cost.

22. The apparatus, as set forth in claim 13, wherein said manufacturing facility produces units of a predetermined quantity of product and partial units of another predetermined quantity of product and said apparatus further comprising:

means for computing the number of units of each product to be produced;

means for computing the number of partial units of each product to be produced;

means for determining the feasibility of producing said computed number of units and partial units; and

said cost computing means computing said cost in response to producing said computed number of units and partial units being feasible.

23. A computer-implemented method for production planning in a manufacturing facility, comprising the steps of:

generating a plurality of theoretical plans;

receiving one of said theoretical production plans, formulating a plurality of constraints in response to said received theoretical plan and applying said formulated constraint thereto;

computing a cost function divided by the addition to work in response to said theoretical production plan; and

searching for a feasible production plan among said plurality of theoretical plans, said feasible plan within said applied constraint and having the least computed cost function value per addition to work, wherein said searching utilizes a heuristic search method.

24. The method, as set forth in claim 23, wherein said constraint formulating and applying step comprises the step of formulating and applying a production capacity constraint of said manufacturing facility to said theoretical plan, said manufacturing facility having at least one machine and wherein said capacity constraint formulating step further comprises the steps of:

storing and providing an availability of each machine;

controlling a work-in-process work load;

storing and providing a number of work hours of said manufacturing facility; and

receiving said machine availability, work-in-process and work hours and computing the maximum amount of usage of said machine.

25. The method, as set forth in claim 24, wherein said capacity constraint formulating step comprises the steps of:

storing and providing an amount of usage per machine; and

receiving said machine usage and computing an amount of current usage per machine in response thereto.

26. The method, as set forth in claim 25, said capacity constraint formulating step further comprises the step of formulating said production capacity of said manufacturing facility in response to said maximum usage per machine and said current usage per machine.

27. The method, as set forth in claim 23, wherein said constraint formulating and applying step comprises the step of formulating and applying a constraint describing the amount of surplus that is feasibly produced by said manufacturing facility.

28. The method, as set forth in claim 27, said manufacturing facility producing at least one type of product, and wherein said surplus feasibility constraint formulating step further comprises:

computing expected surplus per product type in response to said theoretical production plan; and

formulating said surplus feasibility constraint in response to said computed expected surplus.

29. The method, as set forth in claim 23, wherein said manufacturing facility manufactures in units of a fixed number and also in partial units of a number less than said fixed number, wherein said constraint formulating and applying step comprises the step of formulating and applying a constraint describing the number of partial production units that may be feasibly initiated by said manufacturing facility.

30. The method, as set forth in claim 29, said partial unit feasibility constraint formulating step comprises the steps of:

computing the number of units that are required in response to said theoretical production plan;

computing the number of partial units that are required in response to said theoretical production plan; and

formulating said partial unit feasibility constraint in response to said computed number of units and partial units required for said theoretical production plan.

31. The method, as set forth in claim 23, said manufacturing facility producing at least one type of product, and wherein said cost function computing step comprises the steps of:

computing an expected yield per product type;

receiving customer demand;

computing a push cost per product type in response to said computed expected yield and said received customer demand;

computing a pull cost per product type in response to said computed expected yield and said received customer demand; and

computing a cost function of said production plan in response to said computed push and pull costs.

32. The method, as set forth in claim 23, wherein said theoretical production plan generating step comprises the steps of:

modifying a theoretical production plan and generating a plurality of children theoretical production plans;

constructing a tree having said theoretical production plan as a root node and said plurality of children theoretical production plans as leaf nodes.

33. The method, as set forth in claim 23, wherein said searching step further comprises the steps of:

discarding any leaf node containing a children theoretical production plan which contradicts said plurality of applied constraints;

selecting from among remaining leaf nodes a theoretical production plan which has the least computed cost function value; and

modifying said selected production plan to generate another plurality of children theoretical production plans;

repeating said above steps until all children production plans from a selected production plan contradict said plurality of constraints; and

providing said last selected production plan as a solution production plan.

34. A computer-implemented method for generating a production plan for a manufacturing facility, comprising the steps of:

initializing said production plan;

generating a plurality of proposals to modify said production plan;

formulating at least one constraint;

applying said constraints to said production plan as modified by each of said plurality of proposals;

discarding any proposal which causes said production plan to contradict said constraints;

computing the cost of implementing said production plan as modified by each of said remaining proposals;

selecting a proposal which causes said production plan to have the least computed cost;

repeating said above steps until no proposals remain after said discarding step; and

providing the current production plan as a solution production plan.

35. The method, as set forth in claim 34, wherein said constraint formulating and applying steps comprise the steps of formulating and applying a production capacity constraint of said manufacturing facility to said theoretical plan, said manufacturing facility having at least one machine and wherein said capacity constraint formulating step further comprises the steps of:

storing and providing an availability of each machine;

controlling a work-in-process work load;

storing and providing a number of work hours of said manufacturing facility; and

receiving said machine availability, work-in-process and work hours and computing the maximum amount of usage of said machine.

36. The method, as set forth in claim 35, wherein said capacity constraint formulating step comprises the steps of:

storing and providing an amount of usage per machine; and

receiving said machine usage and computing an amount of current usage per machine in response thereto.

37. The method, as set forth in claim 36, said capacity constraint formulating step further comprises the step of formulating said production capacity of said manufacturing facility in response to said maximum usage per machine and said current usage per machine.

38. The method, as set forth in claim 34, wherein said constraint formulating and applying steps comprise the steps of formulating and applying a constraint describing the amount of surplus that is feasibly produced by said manufacturing facility.

39. The method, as set forth in claim 38, said manufacturing facility producing at least one type of product, and wherein said surplus feasibility constraint formulating step further comprises:

computing expected surplus per product type in response to said theoretical production plan; and

formulating said surplus feasibility constraint in response to said computed expected surplus.

40. The method, as set forth in claim 34 said manufacturing facility manufactures in units of a fixed number and also in partial units of a number less than said fixed number, wherein said constraint formulating and applying steps comprise the steps of formulating and applying a constraint describing the number of partial production units that may be feasibly initiated by said manufacturing facility.

41. The method, as set forth in claim 40, said partial unit feasibility constraint formulating step comprises the steps of:

computing the number of units that are required in response to said theoretical production plan;

computing the number of partial units that are required in response to said theoretical production plan; and

formulating said partial unit feasibility constraint in response to said computed number of units and partial units required for said theoretical production plan.

42. The method, as set forth in claim 34, said manufacturing facility producing at least one type of product, and wherein said cost function computing step comprises the steps of:

computing an expected yield per product type;

receiving customer demand;

computing a push cost per product type in response to said computed expected yield and said received customer demand;

computing a pull cost per product type in response to said computed expected yield and said received customer demand; and

computing a cost function of said production plan in response to said computed push and pull costs.