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    政大機構典藏 > 商學院 > 企業管理學系 > 期刊論文 >  Item 140.119/10257
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/10257

    Title: A Comparative Study of Three Lot-Sizing Methods for the Case of Fuzzy Demand
    Authors: 李易諭;Kramer B. A.
    LEE, Y. Y.;Kramer, B.A.;Hwang, C.L.
    Keywords: Algorithms;Lot size;Manufacturing;Quantitative techniques;Research
    Date: 1991
    Issue Date: 2008-11-25 10:41:46 (UTC+8)
    Abstract: Most of the literature published regarding the performance of lot-sizing algorithms has been in a deterministic environment. The first objective of this article is to propose a way to incorporate fuzzy sets theory into lotsizing algorithms for the case of uncertain demand in a fuzzy master production schedule. Triangular fuzzy numbers are used to represent uncertainty in the master production schedule. It is shown that the fuzzy sets theory approach provides a better representation of fuzzy demand and more information to aid the determination of lot size. The second objective is to evaluate three lot sizing methods: part-period balancing, Silver-Meal, and Wagner-Whitin. The performance of each lot-sizing algorithm was calculated over nine examples. The results indicate that the part-period balancing algorithm may be a better overall choice to determine lot sizes.
    Relation: International Journal of Operations & Production Management, 11(7), 72-80
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1108/EUM0000000001276
    DOI: 10.1108/EUM0000000001276
    Appears in Collections:[企業管理學系] 期刊論文

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