考虑再制造成本差异和信息不对称性的生产决策

文章以传感器嵌入产品为再制造对象, 针对原始设备制造商和再制造商组成的供应链, 考虑双方再制造成本差异性, 构建了两阶段产量竞争模型。通过 KKT 条件 (Karush-Kuhn-Tucker conditions) 的方法得到不同条件下供应链中各成员的最优产量决策, 并且探究再制造成本信息不对称性对决策结果的影响。研究结果表明: 当原始设备制造商的再制造成本低于再制造商时, 若原始设备制造商共享信息, 则较大的市场规模对再制造商是有利的; 当原始设备制造商的再制造成本高于再制造商时, 原始设备制造商通过生产传感器嵌入产品带来的信息优势能够占据更多的再制造市场份额, 再制造商通过提高对成本信息的预测精度能够提高自身的再制造产量。

Taking sensor-embedded products (SEPs) as the objects of remanufacturing, a two-period production competition model is constructed considering the differences in remanufacturing costs between the two parties in a closed-loop supply chain composed of an original equipment manufacturer (OEM) and an independent remanufacturer (IR). The optimal decisions of supply chain members under different conditions are obtained by the Karush-Kuhn-Tucker (KKT) conditions, and the influence of the asymmetry of remanufacturing cost information on optimal decisions is explored. The results reveal that when the remanufacturing cost of the OEM is lower than that of the IR, a larger market size is more beneficial to the IR if the OEM shares cost information; when the remanufacturing cost of the OEM is higher than that of the IR, the information advantage brought by the production of SEPs can help the OEM occupy more remanufacturing market share, and the IR should improve the prediction accuracy of cost information in order to increase remanufacturing production.