基于混合智能算法的电子市场供应链期权合同协调

Hybrid Intelligent Algorithm-Based Option Contract Coordination for Supply Chain in E-markets

在电子市场环境下,考虑了需求、市场价格和市场准入程度的随机性,基于Stack-erlberg主从对策,建立了供应链期权合同协调的随机期望值模型。在这一主从对策模型中,主方供应商的目标函数是预期利润,决策变量是期权合同预订费用和执行费用;从方分销商的目标函数是预期利润,决策变量是订货量。应用包括随机模拟、人工神经元网络和遗传算法组成的混合智能算法求解该主从对策问题。最后,结合上海宝钢集团益昌公司电子商务的运作实例,运用混合智能算法进行了仿真计算与分析。

Random demand, random market price and market access degree was considered under e-market environment. On the basis of Stackerlberg game,the stochasticexpectation model for supply chain option contract coordination is established. 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 Stackerlberg model was solved by the hybrid intelligent algorithm, including Monte Carlo simulation, artificial neural network ,and genetic algorithm. Combined with the e-commerce practice of Shanghai Baosteel Yichang Corporation,the demonstration analysis was carried out,and the optimal order quantity, contract reservation costs and execution costs of supply chain option contract coordination were worked out by using hybrid intelligent algorithm.