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Complex dynamics of a MC-MS pricing model for a risk-averse supply chain with after-sale investment

机译:带有售后投资的规避风险的供应链的MC-MS定价模型的复杂动态

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In this paper, we investigate the pricing strategy of the manufacturers and that of a common retailer, including their after-sale investment in a risk-averse supply chain. As the demand is not always for sure, the supply chain follows Manufacturers Cooperating (MC) and Manufacturers Stackelberg (MS). The main objective of the paper is to investigate the influence of the decision parameters such as the after-sale investment, wholesale price adjustment speed and risk preference on the stability and utilities of the risk-averse supply chain. The dynamic phenomena, such as the bifurcation, chaos and sensitivity to initial values are analyzed with 2D-bifurcation diagrams, double largest Lyapunov exponent and basins of attraction. The study shows that the faster the adjustment speed is, the more profits the retailer can make, but on the other hand, it is no good to manufacturers. Risk tolerance levels (R-M and R-R) affect the utility of the manufacturers and that of the retailer differently. A feedback control method is used to control the chaos in the supply chain. (C) 2015 Elsevier B.V. All rights reserved.
机译:在本文中,我们研究了制造商和普通零售商的定价策略,包括他们对规避风险的供应链的售后投资。由于需求并不总是确定的,因此供应链遵循制造商合作(MC)和制造商Stackelberg(MS)。本文的主要目的是研究诸如售后投资,批发价格调整速度和风险偏好等决策参数对规避风险的供应链的稳定性和效用的影响。利用二维分叉图,两倍大的Lyapunov指数和吸引盆分析了动力学现象,例如分叉,混沌和对初始值的敏感性。研究表明,调整速度越快,零售商可以赚到的利润就越多,但另一方面,这对制造商不利。风险容忍度(R-M和R-R)对制造商和零售商的效用有不同的影响。反馈控制方法用于控制供应链中的混乱情况。 (C)2015 Elsevier B.V.保留所有权利。

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