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Control Number313933
Date and Time of Latest Transaction20150706093504.AM
General Information150706s |||||||||b ||00|||
Cataloging SourceSTII-DOST
Local Call NumberScienceDirect
Main Entry - Personal NamePoler, Raul
 Peidro, David
 Mula, Josefa
Title StatementThe effectiveness of a fuzzy mathematical programming approach for supply chain production planning with fuzzy demand by Josefa Mula, David Peidro and Raul Poler
Physical Descriptionpages 136-143 computer file; text; 493kb
Summary, Etc.The main focus of this work is to prove the effectiveness of a fuzzy mathematical programming approach to model a supply chain production planning problem with uncertainty in demand. A fuzzy optimization model that takes into account the lack of knowledge in market demand is developed. This work uses an approach of possibilistic programming. Such an approach makes it possible to model the epistemic uncertainty in demand that could be present in the supply chain production planning problems as triangular fuzzy numbers. The emphasis is on obtaining more knowledge about the impact of fuzzy programming on supply chain planning problems with uncertain demand
Subject Added Entry - Topical TermSocial sciences
 Optimization theory
 Fuzzy mathematical programming
 Production planning
 Fuzzy sets
LocationDOST STII ScienceDirect NONPRINTS NP 14-16457 1 14-16457 Online/Download 2012-01-19
 
     
 
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Department of Science and Technology
Science and Technology Information InstituteScienceDirect
 
     
 
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