Fuzzy chance constrained linear programming model for optimizing the scrap charge in steel production

Optimizing the charge in secondary steel production is challenging because the chemical composition of the scrap is highly uncertain. The uncertainty can cause a considerable risk of the scrap mix failing to satisfy the composition requirements for the final product. In this paper, we represent the...

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Bibliographic Details
Published in:	European journal of operational research Vol. 186; no. 3; pp. 953 - 964
Main Authors:	Rong, Aiying, Lahdelma, Risto
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 01.05.2008 Elsevier Elsevier Sequoia S.A
Series:	European Journal of Operational Research
Subjects:	Applied sciences Chance constraint Exact sciences and technology Fuzzy sets Linear programming Operational research. Management science Optimization techniques Production methods Scrap Scrap charge optimization Steel production Studies Steel production Fuzzy sets Linear programming Scrap charge optimization Chance constraint Material costs Product specification Rupture Fuzzy programming Fuzzy set Soft constraint Failures Modeling Linear model Optimization Confidence interval Fuzzy logic Uncertain system Model specification Aspiration level Fuzzy set theory Fuzzy number Production process
ISSN:	0377-2217, 1872-6860
Online Access:	Get full text
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