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Bibliographic Data
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313207
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20150706095009.AM
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$aSTII-DOST
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$aScienceDirect
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1#
$aYucesan, Enver
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1#
$aYeming (Yale) Gong
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$aStochastic optimization for transshipment problems with positive replenishment lead times$cby Yeming (Yale) Gong and Enver Yucesan
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$aAmsterdam$bElsevier B.V.$c2010
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$apages 61-72$bcomputer file; text; 372kb
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$aIncludes bibliographical references
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$aTransshipments, 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.
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$aSocial sciences
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$aLogistics$xAnalysis
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$aAlgorithms $xAnalysis
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$aSupply chain management
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$aStochastic optimization
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$aDOST$bSTII$hScienceDirect$jNONPRINTS$kNP$p14-16209$t1$x14-16209$yOnline/Download$12012-01-19
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$wNONPRINTS
  
     
 
Physical Location
Department of Science and Technology
Science and Technology Information InstituteScienceDirect
  
     
 
Digital Copy
Not Available
  
     
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