A Fuzzy Model for A Multistage Supply Chain System Controlled By Kanban

Alp Kor


This paper deals with a multi-machine supply chain system operating under just-in-

time delivery policy with fuzzy demands. For this purpose, the system is modeled as a fuzzy

linear programming problem. In JIT delivery policy, kanban has the role of a transporter. By

the solution of the related fuzzy linear programming problem, the number of kanbans is

determined optimally. Fuzzy demands method enables one to minimize inventory costs under

uncertain demand fluctuations. Copyright © 2007 IFAC

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DOI: http://dx.doi.org/10.21533/scjournal.v1i1.73


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Copyright (c) 2015 SouthEast Europe Journal of Soft Computing

ISSN 2233 -1859

Digital Object Identifier DOI: 10.21533/scjournal

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