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Optimisation of online retailer pricing and carrier capacity expansion during low-price promotions with coordination of a decentralised supply chain

机译:通过分散化供应链的协调,优化低价促销期间的在线零售商定价和运营商能力扩展

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摘要

In recent years, many online retailers in China set low prices on 11 November, which stimulates huge delivery demand and results in many problems although carriers make an effort to increase their delivery capacities temporarily. To circumvent this difficulty, we consider a supply chain consisting of an online retailer, who can set price to influence the demand, and a capacitated carrier, whose capacity can be expanded at a high cost. We derive the optimal decisions in the centralised and decentralised decision systems, and compare the performances of the two systems. We find that the optimal decisions, and which system has lower price, larger capacity increment, and more late delivered goods depends on the model parameters (the market scale, the late delivery costs, the capacity expansion cost, the delivery fee, and the demand uncertainty). Specially, we show that, contrary to the traditional channel, the online retailer in the decentralised system may set lower price and the carrier has less incentive to expand capacity in the decentralised system in some situations, which underlines the need for coordination. In addition, we propose coordination contracts to improve the overall performance of the supply chain under deterministic and random demands.
机译:近年来,中国许多在线零售商在11月11日将价格定为低价,这刺激了巨大的交付需求,尽管运营商努力临时提高其交付能力,但仍导致许多问题。为了解决这一难题,我们考虑了一个供应链,该供应链由可以设定价格以影响需求的在线零售商和功能强大的承运人组成,承运人的容量可以以高成本进行扩展。我们在集中式和分散式决策系统中得出最佳决策,并比较两个系统的性能。我们发现最优决策以及哪个系统具有更低的价格,更大的容量增加以及更多的延迟交货取决于模型参数(市场规模,延迟交货成本,产能扩展成本,交货费用和需求)不确定)。特别是,我们显示出,与传统渠道相反,分散系统中的在线零售商可能会设置较低的价格,并且在某些情况下,运营商在分散系统中扩大产能的动力较小,这突出了协调的必要性。此外,我们提出了协调合同,以提高确定性和随机性需求下供应链的整体绩效。

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