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Optimal pricing in mass customization supply chains with risk-averse agents and retail competition

机译:具有规避风险的代理商和零售竞争的大规模定制供应链的最优定价

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We analytically investigate the optimal pricing decisions in a mass customization (MC) supply chain with one risk averse manufacturer and two risk averse competing retailers. The manufacturer is the Stack-elberg leader, which offers a wholesale pricing contract to the retailers. After receiving the wholesale price, each retailer decides the retail selling price for the MC product simultaneously. We first prove the existence of a unique pricing equilibrium and then derive the optimal prices. After that, we focus our attention on exploring how the degree of risk aversion of each supply chain agent affects the optimal prices as well as consumer welfare, supply chain profitability, and credit deposit under a competitive setting. We find that a more risk averse manufacturer will offer a lower wholesale price, which leads to lower retail selling prices offered to the market. For the retailers, if a retailer is more risk averse, it will make the manufacturer offer a higher wholesale price and it will set a lower retail selling price; however, whether the competing retailer will increase or decrease the retail selling price depends on the level of competition. We examine the impacts brought by the market demand uncertainties as well as the respective demand correlation. We conclude by revealing that in the sufficiently competitive market environment, consumers enjoying MC services are benefited more but the supply chain profitability may decrease more (depending on how risk averse the agents are) when (i) the manufacturer and retailers are more risk averse, (ii) demand uncertainties and the correlation between market demands are higher. We also find that the retailers need to pay more credit deposit if the manufacturer is more risk averse or the demand correlation is higher. Finally, we consider the MC product improvement scheme in the extended model and reveal that it is a Pareto improving optimal measure if the supply chain agents are not too risk averse and the increment in production cost is sufficiently small. (C) 2018 Elsevier Ltd. All rights reserved.
机译:我们通过分析研究大规模定制(MC)供应链中的最佳定价决策,其中包括一个规避风险的制造商和两个规避竞争的零售商。制造商是Stack-elberg的领导者,它为零售商提供批发价格合同。收到批发价后,每个零售商将同时确定MC产品的零售价。我们首先证明唯一定价均衡的存在,然后得出最优价格。之后,我们将注意力集中在探索每个供应链代理人的风险规避程度如何影响最佳价格以及竞争环境下的消费者福利,供应链盈利能力和信用保证金。我们发现,厌恶风险的制造商将提供较低的批发价格,从而导致向市场提供较低的零售价格。对于零售商而言,如果零售商对风险的规避性更高,则将使制造商提供更高的批发价,并将设定更低的零售价。但是,竞争零售商将提高还是降低零售价格取决于竞争水平。我们研究了市场需求不确定性以及各自需求相关性带来的影响。我们的结论是,在充分竞争的市场环境中,当(i)制造商和零售商对风险的厌恶程度更高时,享受MC服务的消费者会受益更多,但供应链的利润率可能会下降更多(取决于代理商的风险厌恶程度)。 (ii)需求不确定性以及市场需求之间的相关性更高。我们还发现,如果制造商对风险的厌恶程度更高或需求相关性更高,则零售商需要支付更多的信用保证金。最后,我们在扩展模型中考虑了MC产品改进方案,并揭示了如果供应链代理人不太厌恶风险并且生产成本的增长足够小,则这是帕累托改进的最佳措施。 (C)2018 Elsevier Ltd.保留所有权利。

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