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MARC Record
Bibliographic Data
Control Number
313207
Date and Time of Latest Transaction
20150706095009.AM
General Information
150706s |||||||||b ||00|||
Cataloging Source
STII-DOST
Local Call Number
ScienceDirect
Main Entry - Personal Name
Yucesan, Enver
Yeming (Yale) Gong
Title Statement
Stochastic optimization for transshipment problems with positive replenishment lead times by Yeming (Yale) Gong and Enver Yucesan
Publication, Distribution, Etc.
Amsterdam Elsevier B.V. 2010
Physical Description
pages 61-72 computer file; text; 372kb
Bibliography, Etc. Note
Includes bibliographical references
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 Term
Social sciences
Logistics -- Analysis
Algorithms -- Analysis
Supply chain management
Stochastic optimization
Location
DOST 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 Institute
ScienceDirect
Digital Copy
Not Available
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