考虑价格和时间敏感性需求的两周期供应链鲁棒优化模型

    A Supply Chain Robust Optimization Model under Price- and Time-sensitive Demand

    • 摘要: 在不确定需求下,考虑需求的时间和价格敏感性,研究两周期供应链定价及订货联合决策问题。利用分段函数构建需求的价格和时间敏感性,并采用区间不确定集描述需求不确定性。根据制造商是否给予零售商回扣,分别建立主从对策鲁棒优化模型,并转化为可解的数学规划。结果表明,需求不确定性以及需求的时间和价格敏感性对双方的定价、订货和利润具有影响。具有回扣的主从策略使双方获得更高利润,需求的不确定性以及需求的时间和价格敏感性增加会降低双方利润。

       

      Abstract: A two-pricing two-ordering policy with time and price sensitive demand is studied under demand uncertainty. The piecewise linear function is used to describe the price- and time-sensitive demand and the interval uncertainty set is constructed to describe demand uncertainty. Two Stackelberg game models are formulated according to whether the manufacturer gives a rebate to the retailer. Robust counterparts for the game models are developed and transformed into tractable programs. Numerical studies show that the uncertainty and price sensitivity of demand have influences on pricing, ordering and profit. The manufacturer and the retailer gain more from the game model with rebate, and the profits of both parties are decreasing in the uncertainty level and the price sensitivity coefficient of demand increase.

       

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