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政大典藏 > College of Commerce > Department of Business Administation > Periodical Articles > Item 140.119/10257

Please use this identifier to cite or link to this item: https://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 link:	http://dx.doi.org/10.1108/EUM0000000001276
DOI:	10.1108/EUM0000000001276
Appears in Collections:	[Department of Business Administation] Periodical Articles

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