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/lp/emerald-publishing/a-comparative-study-of-three-lotsizing-methods-for-the-case-of-fuzzy-WEDFrlxkn7
- 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 Management – Emerald Publishing
Published: Jul 1, 1991