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Proceedings of 2010 Cross-Strait Conference on Information Science and Technology (CSCIST 2010 E-BOOK)

Qinhuangdao,China,7.9-7.13，2010

ISBN: 978-1-935068-15-0 Scientific Research Publishing, USA

E-Book 840pp Pub. Date: July 2010

Category: Computer Science & Communications

Price: $120

Title: Inventory Planning Model with Decision Flexibility for Raw Material Supply and its Genetic Programming Algorithm
Source: Proceedings of 2010 Cross-Strait Conference on Information Science and Technology (CSCIST 2010 E-BOOK) (pp 9-12)
Author(s): Xiao-Fang Chen, School of Information Science and Engineering, Central South University, Changsha
Yi-Gang Cen, Institute of Information Science, Beijing Jiao Tong University, Beijing
Li-Hui Cen, School of Information Science and Engineering, Central South University, Changsha
Abstract: The inventory control of raw material for process industry faces the risks of demand uncertainty and supply uncertainty. Combined economic cost with uncertainty risk produced in inventory process as the objective and constrained by process raw material demand, an optimal inventory plan is decided with non-predetermined order time and frequency. In the genetic programming algorithm, chain-structured individuals are adaptively designed to describe flexible order sequences. This approach is tested by a computational case and proved superior to order method with predetermined order time at cost and expected risks.
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