A Fuzzy Model for A Multistage Supply Chain System Controlled By Kanban
Abstract
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 IFACFull Text:
PDFDOI: 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
This work is licensed under a Creative Commons Attribution 4.0 International License