The 5th International Conference on Modern Management based on Big Data (MMBD2024)

Abstract: This paper analyzes the pricing decisions of complementary products in a fuzzy supply chain with two manufacturers and one common retailer. Four pricing models, including centralized decision model, MS-Bertrand, RS-Bertrand and NG models, with consideration of different market power structures are adopted. Both the manufacturing cost and the customer demand for products are considered as fuzzy variables. Optimal decisions on prices are determined by using game theoretical approach for each model. Finally, a numerical example is solved to illustrate the effectiveness of each model.
Keywords: Pricing decisions, Complementary products, Game Theory, Fuzzy environments

Biography: I got My Ph.D form Amirkabir University of Science and Technology on 2007 in Industrial engineering and worked as associate professor in Kharazmi University in Tehran, Iran and also Istanbul Gelisim University, Istanbul Turkey up to now. My research interest area includes pricing by utilization of game theory and network design and supplier assessment models under ambiguous conditions. Making decisions are not clear and most of the time DMs are involved in uncertainty and this adds more complexity to their decision making Environment .Working under above-mentioned circumstances are my interests in Sustainable and Green Supply chain management as well.