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Control Number313207
Date and Time of Latest Transaction20150706095009.AM
General Information150706s |||||||||b ||00|||
Cataloging SourceSTII-DOST
Local Call NumberScienceDirect
Main Entry - Personal NameYucesan, Enver
 Yeming (Yale) Gong
Title StatementStochastic optimization for transshipment problems with positive replenishment lead times by Yeming (Yale) Gong and Enver Yucesan
Physical Descriptionpages 61-72 computer file; text; 372kb
Summary, Etc.Transshipments, monitored movements of material at the same echelon of a supply chain, represent an effective pooling mechanism. Earlier papers dealing with transshipments either do not incorporate replenishment lead times into their analysis, or only provide a heuristic algorithm where optimality cannot be guaranteed beyond settings with two locations. This paper uses infinitesimal perturbation analysis by combining with a stochastic approximation method to examine the multi-location transshipment problem with positive replenishment lead times. It demonstrates the computation of optimal base stock quantities through sample path optimization. From a methodological perspective, this paper deploys a duality-based gradient computation method to improve computational efficiency. From an application perspective, it solves transshipment problems with non-negligible replenishment lead times. A numerical study illustrates the performance of the proposed approach
Subject Added Entry - Topical TermSocial sciences
 Logistics -- Analysis
 Algorithms -- Analysis
 Supply chain management
 Stochastic optimization
LocationDOST STII ScienceDirect NONPRINTS NP 14-16209 1 14-16209 Online/Download 2012-01-19
  
     
 
Physical Location
Department of Science and Technology
Science and Technology Information InstituteScienceDirect
  
     
 
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