基于不确定优化方法的供应链企业间协同决策研究

In this paper, a new algorithm is proposed to model the supply chain inventory collaboration and find the optimized collaboration scheme with the uncertain customers' demand. First, Monte Carlo simulation mimicking the behavior of supply chain with uncertain market demand is used to evaluate a coordination scheme. This evaluation method is able to calculate the total inventory cost for uncertain demand with any distribution type. Then a fitness inheritance PSO combined with Monte Carlo simulation is proposed to find an inventory coordination scheme. Various fitness inheritance techniques are studied to construct an effective fitness inheritance PSO for inventory coordination. Experiments show that our approach is effective in reducing the inventory cost of supply chain and saving the computational time.