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Fair transfer price and inventory holding policies in two-enterprise supply chains
Affiliation:1. Centre for Process Systems Engineering, Imperial College of Science, Technology and Medicine, London SW7 2BY, UK;2. Department of Chemical Engineering, University College London, Torrington Place, London WC1E 7JE, UK;1. Supercomputing Center, Computer Network Information Center, Chinese Academy of Science, Beijing 100190, China;2. Renewable Energy Department, China Electric Power Research Institute, Beijing 100192, China;1. Department of Industrial Engineering, Tarbiat Modares University, Tehran, Iran;2. School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran;1. Louvain School of Management, Center for Operations Research and Econometrics (CORE), Université catholique de Louvain, Belgium;2. TUM School of Management, Technische Universität München, Germany
Abstract:A key issue in supply chain optimisation involving multiple enterprises is the determination of policies that optimise the performance of the supply chain as a whole while ensuring adequate rewards for each participant.In this paper, we present a mathematical programming formulation for fair, optimised profit distribution between echelons in a general multi-enterprise supply chain. The proposed formulation is based on an approach applying the Nash bargaining solution for finding optimal multi-partner profit levels subject to given minimum echelon profit requirements.The overall problem is first formulated as a mixed integer non-linear programming (MINLP) model. A spatial and binary variable branch-and-bound algorithm is then applied to the above problem based on exact and approximate linearisations of the bilinear terms involved in the model, while at each node of the search tree, a mixed integer linear programming (MILP) problem is solved. The solution comprises inter-firm transfer prices, production and inventory levels, flows of products between echelons, and sales profiles.The applicability of the proposed approach is demonstrated by a number of illustrative examples based on industrial processes.
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