DocumentCode :
2552266
Title :
Supply chain option contract coordination with e-market based on hybrid intelligent algorithm
Author :
Yan, Nina ; Zhou, Liguo
Author_Institution :
Bus. Sch., Central Univ. of Finance & Econ., Beijing, China
fYear :
2010
fDate :
16-18 April 2010
Firstpage :
713
Lastpage :
717
Abstract :
In the environment of e-market, based on the Stackelberg game, the stochastic expectation model of supply chain option contract coordination with random demand, random market price and market access degree is established in this paper. As the leader, the supplier declares the optimal contract reservation costs and execution costs for maximizing his expected profit, while as the follower, the purchaser responds with the optimal orders for maximizing his expected profit. The given Stackelberg model is solved by the hybrid intelligent algorithm, including Monte-Carlo simulation, artificial neural network, and genetic algorithm. Finally, combining with the e-commerce practice of Shanghai Baosteel Yichang Company, the simulation analysis is carried out, and the optimal order quantity, contract reservation costs and execution costs of supply chain option contract coordination are worked out through the hybrid intelligent algorithm.
Keywords :
Monte Carlo methods; electronic commerce; genetic algorithms; neural nets; stochastic games; supply chain management; Monte-Carlo simulation; Shanghai Baosteel Yichang Company; Stackelberg game; artificial neural network; e-market; genetic algorithm; hybrid intelligent algorithm; stochastic expectation model; supply chain option contract coordination; Algorithm design and analysis; Analytical models; Artificial intelligence; Artificial neural networks; Contracts; Cost function; Genetic algorithms; Intelligent networks; Stochastic processes; Supply chains; Stackelberg game; e-market; hybrid intelligent algorithm; option contract; supply chain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5263-7
Electronic_ISBN :
978-1-4244-5265-1
Type :
conf
DOI :
10.1109/ICIME.2010.5477996
Filename :
5477996
Link To Document :
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