Multi-item, multi-period production planning with uncertain demand

IIE Transactions (Institute of Industrial Engineers)

Volumn 28, Issue 11, 1996, Pages 891-900

  Sox, Charles R ^a   Muckstadt, John A ^b  

^a AUBURN UNIVERSITY   (United States)

^b Department of Obstetrics Gynecology   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CALCULATIONS; OPTIMIZATION; PERFORMANCE; PLANNING; RANDOM PROCESSES;

PRODUCTION PLANNING;

PRODUCTION CONTROL;

EID: 0030287501     PISSN: 0740817X     EISSN: None     Source Type: Journal    
DOI: 10.1080/15458830.1996.11770742     Document Type: Article

References (20)

1. Baker, K.R. (1977) An experimental study of the effectiveness of rolling schedules in production planning. Decision Sciences, 8, 19-27.
2. Bertsekas, D.P. (1987) Dynamic Programming: Deterministic and Stochastic Models, Prentice-Hall, Englewood Cliffs, NJ.
3. Bitran, G.R. and Yanasse, H.H. (1985) Deterministic approximations to stochastic production problems. Operations Research, 32, 999-1018.
4. Elmaghraby, S.E. (1978) The economic lot scheduling problem (ELSP): review and extensions. Management Science, 24, 587-598.
5. Evans, R.V. (1967) Inventory control of a multi-product system with a limited production resource. Naval Research Logistics Quarterly, 14(2), 173-184.
6. Everett, H. (1966) Generalized Lagrange multiplier method for solving problems of optimum allocation of resources. Operations Research. 11, 399-417.
7. Fisher, M.L. (1981) Lagrangian relaxation method for solving integer programming problems. Management Science, 27, 1-18.
8. Gascon, A. (1987) The lookahead heuristic for multi-item single machine production scheduling with dynamic, stochastic demands. INFOR, 26, 114-126.
9. Gascon, A. and Leachman, R.C. (1988) A dynamic programming solution to the dynamic, multi-item, single-machine scheduling problem. Operations Research, 36, 50-56.
10. Graves, S.C. (1980) The multi-product production cycling problem. IIE Transactions, 12, 233-240.
11. Haneveld, W.K.K. (1988) A stochastic programming approach to multiperiod production planning. Research Memorandum 276, University of Groningen, Institute of Economic Research.
12. Held, M., Wolfe, P. and Crowder, H.P. (1974) Validation of subgradient optimization. Mathematical Programming, 6, 62-88.
13. Khang, D.B. and Fujiwara, O. (1993) Multi-period stochastic network flow problems with service level requirements: approximation and error estimates. IIE Transactions, 25, 104-110.
14. Leachman, R.C. and Gascon, A. (1988) A heuristic scheduling policy for multi-item, single-machine production systems with time-varying, stochastic demands. Management Science, 34, 377-390.
15. Luss, H. and Gupta, S.K. (1975) Allocation of effort resources among competing activities. Operations Research, 23, 360-366.
16. Nemhauser, G.L. and Wolsey, L.A. (1988) Integer and Combinatorial Optimization, Wiley, New York.
17. Peters, R.J., Boskma, K. and Kupper, H.A.E. (1977) Stochastic programming in production planning: a case with non-simple recourse. Statistica Neerlandica, 31, 113-126.
18. Sox, C.R. (1994) A heuristic for stochastic production planning, in Burke, L. and Jackman, J., editors, Proceedings of the Third Industrial Engineering Research Conference, IIE, pp. 94-99.
19. Williams, J.F. (1983) A hybrid algorithm for simultaneous scheduling of production and distribution in multi-echelon structures. Management Science, 29, 77-92.
20. Zipkin, P.H. (1980) Simple ranking methods for allocation of one resource. Management Science, 26(1), 34-43.