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

机译:基于混合智能算法的电子市场供应链期权合同协调

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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.
机译:在电子市场环境下,基于Stackelberg博弈,建立了具有随机需求,随机市场价格和市场进入程度的供应链期权合同协调的随机期望模型。作为领导者,供应商声明最佳合同保留成本和执行成本以最大化其预期利润,而作为跟随者,购买者以最佳订单响应以最大化其预期利润。给定的Stackelberg模型通过混合智能算法求解,包括蒙特卡洛模拟,人工神经网络和遗传算法。最后,结合上海宝钢宜昌公司的电子商务实践,进行了仿真分析,并通过混合智能算法得出了最优订货量,合同预留成本和供应链期权合同协调的执行成本。

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