Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/1428
Title: Optimization of supply chains for single-vendor–multibuyer consignment stock policy with genetic algorithm
Authors: Srinivas, Chidurala
Rao, C. S. P.
Keywords: Consignment stock
Single-vendor–multibuyer model
Supply chain
Genetic algorithm
Issue Date: 2010
Publisher: International Journal of Advanced Manufacturing Technology
Citation: 10.1007/s00170-009-2286-2
Abstract: In this article, we have developed four consignment stock inventory models of supply chain. The lead time is assumed to be dependent because, at the time of contract with the manufacturer, the retailer may intend to reduce the lead time for which the retailers pay an additional cost. The lead time of consignment stock strategy has been controlled to minimize joint total expected cost and simultaneously optimize other decision variables such as quantity transported, lead time, number of transport operations, and delay deliveries under stochastic environment so as to gain the competitive advantage in the business strategy. Numerical examples and sensitivity analysis are presented to illustrate the solution procedure
Description: NITW
URI: http://localhost:8080/xmlui/handle/123456789/1428
Appears in Collections:Mechanical Engineering

Files in This Item:
File Description SizeFormat 
s00170-009-2286-2.pdf281.07 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.