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Control Number314025
Date and Time of Latest Transaction20150706094106.AM
General Information150706s |||||||||b ||00|||
Cataloging SourceSTII-DOST
Local Call NumberScienceDirect
Main Entry - Personal NameYu-Chung Tsao
 Kvam, Paul H.
 Jye-Chyi Lu
 Hyoungtae Kim
Title StatementOrdering quantity decisions considering uncertainty in supply-chain logistics operations by Hyoungtae Kim and 3 others
Physical Descriptionpages 16-27 computer file; text; 613kb
Summary, Etc.This research seeks to determine the optimal order amount for a retailer given uncertainty in a supply-chain's logistics network due to unforeseeable disruption or various types of defects (e.g., shipping damage, missing parts and misplacing products). Mixture distribution models characterize problems from solitary failures and contingent events causing network to function ineffectively. The uncertainty in the number of good products successfully reaching distribution centers (DCs) and retail stores poses a challenge in deciding product-order amounts. Because the commonly used ordering plan developed for maximizing expected profits does not allow retailers to address concerns about contingencies; this research proposes two improved procedures with risk-averse characteristics towards low probability and high impact events. Several examples illustrate the impact of a DC's operation policies and model assumptions on a retailer's product-ordering plan and resulting sales profit
Subject Added Entry - Topical TermSocial sciences
 Business logistics -- Analysis
 Stochastic optimization
 Logistics network
LocationDOST STII ScienceDirect NONPRINTS NP 14-16489 1 14-16489 Online/Download 2012-01-19
  
     
 
Physical Location
Department of Science and Technology
Science and Technology Information InstituteScienceDirect
  
     
 
Digital Copy
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