Aggregate production planning using chance-constrained goal programming
作者:
TERRYR. RAKES,
LORIS. FRANZ,
A. JAMES WYNNE,
期刊:
International Journal of Production Research
(Taylor Available online 1984)
卷期:
Volume 22,
issue 4
页码: 673-684
ISSN:0020-7543
年代: 1984
DOI:10.1080/00207548408942487
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
Multiple objective models have frequently been proposed to assist in solving aggregate production planning problems. Although such models are an improvement over those with single objectives, demand is usually considered deterministic. For this reason, previous attempts at solving production problems have often lacked realism and could not be successfully applied in many real decision environments. This paper suggests a chance-constrained goal programming (CCGP) approach to production planning which allows the decision maker to specify both probabilistic product demands and production line operating characteristics more in keeping with actual situations. The CCGP approach is based on the sequential solution of a linear programming formulation, allowing efficient solution of large-scale real-world problems using commercially available LP codes. The procedure is demonstrated with a hypothetical example, and proper interpretation of goal achievement is discussed. The findings in the paper are applicable whether preemptive goal programming or a weighted objective function approach is used.
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