Game theoretic model for low carbon supply chain under carbon emissions reduction sensitive random demand

Author:

Ma Chao12,Huang Fuyou3,Hu Yongwen14

Affiliation:

1. Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle , Hubei University of Arts and Science , Xiangyang , , China

2. School of Automobileand Traffic Engineering , Hubei University of Arts and Sciences , Xiangyang , China

3. Institute of Transportation Development Strategy & Planning of Sichuan Province , Chengdu , China

4. School of Mechanical Engineering , Hubei University of Arts and Science , Xiangyang , China

Abstract

Abstract This paper considers a low carbon supply chain consisting of a single manufacturer and a single retailer under the condition that the demand is uncertain. We first establish three games, including manufacturer Stackelberg (MS), retailer Stackelberg (RS) and Nash according to the different power structure of the firms. We then determine that the equilibrium stocking factors, emission reduction levels, wholesale prices and retail prices for the three models, respectively. After that, we demonstrate the effects of power structure. Results show that when the power shifts from the retailer to the manufacturer, the stocking factor decreases, whereas the wholesale price increases. Finally, we discuss the impacts of the random demand. We find that the expected profits of the firms, the emission reduction levels and the retail prices are increasing with respect to the market potential and low-carbon sensitivity coefficient, respectively. Meanwhile, they decrease with respect to the price sensitivity coefficient.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science

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