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Supply chain network design under oligopolistic price and service level competition with foresight
Affiliation:1. The School of Industrial and System Engineering, The University of Oklahoma, Norman, OK, USA;2. Department of Management, Kingston Business School, Kingston University, Kingston Hill, Kingston Upon Thames, Surrey KT2 7LB, UK;1. Department of Mathematics, China University of Mining and Technology, 221116 Xuzhou, China;2. Department of Mathematics, Zhengzhou University of Light Industry, 450002 Zhengzhou, China;1. Department of Mathematics and Industrial Engineering, Polytechnique Montréal, Montréal, Québec H3C 3A7, Canada;2. Mathematics and Computer Laboratory, Nangui Abrogoua University, Abidjan, Ivory Coast;1. Department of Engineering, Alzahra University, Tehran 1993893973, Iran;2. Department of Business Administration, College of Social Science, Semnan University, Semnan, Iran;3. CEO, Datis Management Consultants, Apt804, No. 55, Sarafraz St., Dr. Beheshti, Tehran 1587698474, Iran;1. School of Computing, Informatics and Decision Systems Engineering, Arizona State University, Tempe, AZ, 85281, USA;2. College of Engineering, Koç University, Sariyer, Istanbul, Turkey
Abstract:In this paper a new bi-level model for designing the network structure of a competitive supply chain (SC) is presented with anticipating variable prices and service levels competition in markets under stochastic price and service level dependent elastic demands with the presence of existing, external rivals. The network structure of the new entrant SC would be designed under the limited production capacity of its producers in a way to maximize its future capturable profit in the competitive markets. The network of the new SC is assumed to be set “once and for all” but further price and service level adjustments are possible. Outer part of this bi-level model deals with strategic decisions of SC network design. Given the SC network structure assigned by the outer model in each iteration, the inner equilibrium model determines the equilibrium retail prices and service levels. Finally, we illustrate the model through several numerical examples.
Keywords:Supply chain management  Network design  Nash equilibrium  Fractional programming
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