NDLI: The Research on the Inventory Routing Problem with Split Pick-Ups Based on Genetic Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Wan Fengjiao Zhang Qingnian
Copyright Year	2008
Description	Author affiliation: Sch. of Transp., Wuhan Univ. of Technol., Wuhan (Wan Fengjiao; Zhang Qingnian)
Abstract	Modern supply chain management emphasizes coordination of all sectors and improvement of the whole performance. However, most manufacturers focus only on the individual elements of the supply chain (such as inventory, and delivery routes) and fail to consider the interactions in the supply chain. Thus, in this paper, we integrate two principal problems named the inventory control problem and the transportation problem into one problem, and then seek the optimal solution of this combined problem instead of each single problem. A typical supply chain consists of multiple suppliers and one or more assembly plants. In this study, we focus on the multi-period, multi-suppliers, single assembly plant network and set up a mathematics model, and then solve the inventory routing problem with split pick-ups (IRPSP) by genetic algorithm. Finally, we present an example to illustrate the efficiency of method.
Starting Page	1
Ending Page	4
File Size	111320
Page Count	4
File Format	PDF
ISBN	9781424421077
DOI	10.1109/WiCom.2008.1552
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Supply chain management Supply chains Transportation Routing Inventory control Mathematics Manufacturing Mathematical model Assembly Genetic algorithms
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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