NDLI: Supply chain option contract coordination with e-market based on hybrid intelligent algorithm

Content Provider	IEEE Xplore Digital Library
Author	Nina Yan Liguo Zhou
Copyright Year	2010
Description	Author affiliation: Business School, Central University of Finance and Economics, Beijing, China (Nina Yan; Liguo Zhou)
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.
Starting Page	713
Ending Page	717
File Size	496470
Page Count	5
File Format	PDF
ISBN	9781424452637
DOI	10.1109/ICIME.2010.5477996
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Stackelberg game supply chain Supply chains Stochastic processes Artificial neural networks hybrid intelligent algorithm Genetic algorithms Intelligent networks Analytical models Cost function Artificial intelligence Contracts e-market option contract
Content Type	Text
Resource Type	Article

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