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A fuzzy mixed integer linear programming model for production and capacity planning with seasonal demand

Authors: Sichong Guan; Dingwei Wang; Javad Seyed;

A fuzzy mixed integer linear programming model for production and capacity planning with seasonal demand

Abstract

Abstract The production and capacity planning of a manufacturer in a supply chain facing seasonal demand is studied. A fuzzy mixed integer linear programming model is proposed for the manufacturer to find an ideal production and inventory level in each period such that the impact on capacity changing due to demand fluctuation is minimized. Using Verdegay's non-symmetric approach, the fuzzy model can be transformed to a parametric programming problem and solved by a general mixed integer linear programming package. Examples are included to illustrate the proposed model and its performance.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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