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Article type: Research Article
Authors: Liu, Peidea; * | Hendalianpour, Ayadb | Hamzehlou, Mohammadc
Affiliations: [a] School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan Shandong, China | [b] Soshianest Enterprise Miner, North Vancouver, BC V7N2J7, Canada | [c] Department of Management, Tehran University. Tehran, Iran
Correspondence: [*] Corresponding author. Peide Liu, Shandong University of Finance and Economics, 250014 Jinan Shandong, China. E-mail: peide.liu@gmail.com.
Abstract: The present study investigates a two-echelon supply chain including a usual retailer and two competing manufacturers. The objective function of our model is the maximization of the whole profit of the supply chain, which consists of the stochastic demand, shortage cost, and holding costs. This paper aims to analyze a single period with two products to define the optimum retail prices and wholesales under different game theory approaches (e.g., Bertrand, cooperation, and Stackelberg competitions) based on Double Interval Grey Numbers (DIGN). The other aim of this paper is to specify the price using the manufacturers and the common retailer and considering the stochastic different channel power structures and demand function. In this paper, it is considered that different power structures of channel members may affect the optimal pricing decisions. In this paper, two pricing policies of manufacturers, eight pricing models and various structures of distribution channel members are utilized. In these pricing models, the impacts of retail substitutability are evaluated on the decisions of the chain members and the equilibrium profits. In this paper, the products are substitutable and the demand is stochastic. In this model, the demand is not certain then, we may have shortages or unsold products. Finally, sensitivity analysis is provided for illustrating the theoretical outcomes established in each case.
Keywords: Pricing, stochastic demand, supply chain, game theory, double interval grey numbers
DOI: 10.3233/JIFS-201206
Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 5, pp. 8939-8961, 2021
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