2023 年 73 巻 4E 号 p. 251-259
In modern global supply chain system strategies, the importance of risk management to prevent disruption thereto is increasing. One efficient approach for overcoming this problem is a collaboration between manufacturers and retailers. This study extends a deterministic supply chain model based on the joint economic lot-sizing problem (JELP) to a stochastic programming model, which considers the uncertainty of price sensitive demand. A comparison of the results from numerical experiments based on individual and cooperative models suggests that a manufacturer-retailer collaboration could be beneficial in increasing the overall profit of the entire supply chain system. For instance, total profits were increased by 0.11-12.92% under joint optimization in the range of parameters used in this paper and the growth ratio was considerably higher for the cases in which the demand was more price sensitive. However, the above collaboration can decrease the retailer's profits. For this reason, this study proposes and formulates a collaborative model by adding profit constraints to the above model. As a result, the diminution of the retailer's profits is decreased to 0.0020-0.0164%, that is, the proposed model is able to maximize the total profit by minimizing the reduction of the profits for both the manufacturer and the retailer as much as possible.
