NDLI: A multiperiod fuzzy production planning and sourcing problem with service level constraints

Content Provider	IEEE Xplore Digital Library
Author	Yan-Fei Lan Yan-Kui Liu
Copyright Year	2008
Description	Author affiliation: Coll. of Math. & Comput. Sci., Hebei Univ., Baoding (Yan-Fei Lan; Yan-Kui Liu)
Abstract	In this paper, we consider a multiperiod fuzzy production and sourcing problem that a manufacturer has a number of plants and subcontractors. The manufacturer has to meet the products demand according to the service level requirements set by its customers. The demand for each product in each period is assumed to be a fuzzy variable. Since the proposed model is too complex that the conventional optimization methods cannot be used. To solve the problem, a heuristic solution method, which combines approximation method, genetic algorithm (GA) and neural network (NN), is proposed. We provide a numerical example to illustrate the feasibility and effectiveness of the designed algorithm.
Starting Page	1670
Ending Page	1675
File Size	392696
Page Count	6
File Format	PDF
ISBN	9781424420957
DOI	10.1109/ICMLC.2008.4620674
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Production planning Artificial neural networks Approximation methods Chromium Production Approximation algorithms Biological system modeling neural network Fuzzy production planning service level constraints credibility theory genetic algorithm
Content Type	Text
Resource Type	Article

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