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Cites:

Information Journal Paper

Title

A MINLP APPROACH TO OPTIMIZING BATCH PRODUCTION SCHEDULING FOR PERISHABLES BATCHES

Pages

  37-48

Keywords

MIXED INTEGER NONLINEAR PROGRAMMING (MINLP)Q3

Abstract

BATCH PRODUCTION is one of producing processes and cause to decrease production costs if its programming is optimized. This method has many applications in chemical, mechanical parts and polymer industries. Te literature review show a lot of researches concentrated on BATCH PRODUCTION Scheduling but shelf time have a little attentions from author. In this paper we modeled BATCH PRODUCTION scheduling with heuristic method of operations sequence to separate constraint dependence of fixed setting costs from objective function where products are perishable and have shelf time. In this study we applied Mixed Integer Nonlinear Programming (MINLP) to model problem and solved an numerical instance with using Lingo software package.

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    APA: Copy

    HAMIDY, N., NAYEBI, M.A., & SAEIDI, H.. (2009). A MINLP APPROACH TO OPTIMIZING BATCH PRODUCTION SCHEDULING FOR PERISHABLES BATCHES. JOURNAL OF MANAGEMENT FUTURES RESEARCH(JOURNAL OF MANAGEMENT RESEARCH), 20(82), 37-48. SID. https://sid.ir/paper/204218/en

    Vancouver: Copy

    HAMIDY N., NAYEBI M.A., SAEIDI H.. A MINLP APPROACH TO OPTIMIZING BATCH PRODUCTION SCHEDULING FOR PERISHABLES BATCHES. JOURNAL OF MANAGEMENT FUTURES RESEARCH(JOURNAL OF MANAGEMENT RESEARCH)[Internet]. 2009;20(82):37-48. Available from: https://sid.ir/paper/204218/en

    IEEE: Copy

    N. HAMIDY, M.A. NAYEBI, and H. SAEIDI, “A MINLP APPROACH TO OPTIMIZING BATCH PRODUCTION SCHEDULING FOR PERISHABLES BATCHES,” JOURNAL OF MANAGEMENT FUTURES RESEARCH(JOURNAL OF MANAGEMENT RESEARCH), vol. 20, no. 82, pp. 37–48, 2009, [Online]. Available: https://sid.ir/paper/204218/en

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