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A Comparative Study of Three Lotsizing Methods for the Case of Fuzzy Demand

A Comparative Study of Three Lotsizing Methods for the Case of Fuzzy Demand Most of the literature published regarding the performance oflotsizing algorithms has been in a deterministic environment. The firstobjective of this article is to propose a way to incorporate fuzzy setstheory into lotsizing algorithms for the case of uncertain demand in afuzzy master production schedule. Triangular fuzzy numbers are used torepresent uncertainty in the master production schedule. It is shownthat the fuzzy sets theory approach provides a better representation offuzzy demand and more information to aid the determination of lot size.The second objective is to evaluate three lot sizing methodspartperiod balancing, SilverMeal, and WagnerWhitin. The performanceof each lotsizing algorithm was calculated over nine examples. Theresults indicate that the partperiod balancing algorithm may be abetter overall choice to determine lot sizes. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Operations & Production Management Emerald Publishing

A Comparative Study of Three Lotsizing Methods for the Case of Fuzzy Demand

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Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
0144-3577
DOI
10.1108/EUM0000000001276
Publisher site
See Article on Publisher Site

Abstract

Most of the literature published regarding the performance oflotsizing algorithms has been in a deterministic environment. The firstobjective of this article is to propose a way to incorporate fuzzy setstheory into lotsizing algorithms for the case of uncertain demand in afuzzy master production schedule. Triangular fuzzy numbers are used torepresent uncertainty in the master production schedule. It is shownthat the fuzzy sets theory approach provides a better representation offuzzy demand and more information to aid the determination of lot size.The second objective is to evaluate three lot sizing methodspartperiod balancing, SilverMeal, and WagnerWhitin. The performanceof each lotsizing algorithm was calculated over nine examples. Theresults indicate that the partperiod balancing algorithm may be abetter overall choice to determine lot sizes.

Journal

International Journal of Operations & Production ManagementEmerald Publishing

Published: Jul 1, 1991

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