Uncertain conditions complicate to
achieve correct results by classical logic which do not deal with uncertainties.
Fuzzy logic system which was come up with L. Zadeh in 1960s, renews classical
logic. In these days fuzzy logic applications are widely used for complex
problems that include uncertainty. There are also uncertinities in supply chain
management and this denotes that supply chain management would be an
application area for fuzzy logic. In this study a fuzzy goal programming model
has been developed so as to model and
optimize the supply chain of a business operating under uncertain demand
conditions. The model that aims to minimize total costs and quantity of
rejected products, was solved by using real data derived from a textile company.
Primary Language | Turkish |
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Journal Section | Articles |
Authors | |
Publication Date | March 31, 2015 |
Submission Date | April 2, 2015 |
Published in Issue | Year 2015 Volume: 33 Issue: 1 |
Manuscripts must conform to the requirements indicated on the last page of the Journal - Guide for Authors- and in the web page.
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