文章基本信息

标题：Analysis of Supply Chain Model for Optimum Question paper Delivery system Using Genetic Algorithm with Simulated Annealing
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作者：N.Subramani ; Dr.J.Ganesh Murali ; Dr.P.Suresh 等
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：2
页码：2898
DOI：10.15680/IJIRSET.2017.0602156
出版社：S&S Publications
摘要：Transportation of goods constitutes an important part of in–bound as well as out-bound logistics ofSupply Chain Management (SCM). Efficient distribution of goods and services is of vital importance in today’scompetitive market, as transportation constitutes a considerable portion of the trading price of most products orservices. Supply Chain Management (SCM) is now at the centre stage of manufacturing and service organizations.According to the strategies in markets, supply chains and logistics are naturally being modeled as distributed systems.Supply Chain is the network of suppliers, manufacturing, assembly, distribution and logistics facilities that perform thefunction of procurement of materials, transformation of these materials into intermediate and finished products anddistribution of these finished products to the customers. The task of managing entire supply chain constitutes the coreof the Supply Chain Management. The economic importance has motivated both private companies and academicresearchers to pursue the use of operations research and management service tools to improve the efficiency ofTransportation. Refereeing to such scenario, integration of Genetic Algorithm (GA) with Simulated Annealing (SA)approaches adapted to design the Open Loop supply chain distribution model for the better question paper deliverysystem.
关键词：Open Loop model; Simulated Annealing; Genetic Algorithm; SCM; Question paper delivery system