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Integration of capacity, pricing, and lead-time decisions in a decentralized supply chain

机译:在分散的供应链中整合产能,定价和提前期决策

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We consider a decentralized supply chain consisting of a supplier and a retailer facing price- and lead-time-sensitive demand. The decision process is modelled by a Stackelberg game where the supplier, as a leader, determines the capacity and the wholesale price, and the retailer, as a follower, determines the sale price and lead time. The equilibrium strategy of these two players is obtained. By comparing with the performance of the corresponding decentralized chain without capacity decision as a benchmark, we characterize the impact of capacity decision on the players' profit, i.e., the supplier's profit may be always significantly increased while the retailer's profit is only increased when the capacity is underestimated in the benchmark model. Further, we demonstrate that the integration of capacity decision can also significantly reduce the profit loss caused by double marginalization. Finally, we find that the revenue-sharing and two-part tariff contracts cannot coordinate the decentralized channel. Instead, we propose a franchise contract with a contingent rebate that can achieve channel coordination and a win-win outcome. (C) 2015 Elsevier B.V. All rights reserved.
机译:我们考虑一个分散的供应链,其中包括面对价格和交货期敏感需求的供应商和零售商。决策过程由Stackelberg游戏建模,供应商作为领导者确定容量和批发价格,而零售商作为跟随者确定销售价格和交货时间。获得了这两个参与者的均衡策略。通过与没有容量决策的相应分散链的绩效进行比较,我们表征了容量决策对参与者利润的影响,即,供应商的利润可能总是显着增加,而零售商的利润仅在容量增加时才增加在基准模型中被低估了。此外,我们证明了容量决策的整合还可以显着减少由双重边缘化引起的利润损失。最后,我们发现收益分成和两部分电价合同不能协调分散的渠道。取而代之的是,我们建议签订特许经营合同,并附带或有回扣,以实现渠道协调和双赢。 (C)2015 Elsevier B.V.保留所有权利。

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