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Fair profit distribution in multi-echelon supply chains via transfer prices

Liu, S; Papageorgiou, LG; (2018) Fair profit distribution in multi-echelon supply chains via transfer prices. Omega , 80 pp. 77-94. 10.1016/j.omega.2017.08.010. Green open access

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Abstract

The total profit maximisation of a supply chain may result in an uneven and impractical profit distribution among the members. This work addresses the fair profit distribution within a multi-echelon supply chain using transfer prices. A mixed integer linear programming (MILP) model framework is proposed for the optimal production, distribution and capacity planning of a supply chain of an active ingredient (AI), consisting of AI plants, formulation plants and markets. The transfer prices of the AI from AI plants to formulation plants, and those of products from formulation plants to markets are to be optimised. The proportional and max–min fairness criteria are adopted to define fair profit distributions. Considering bargaining powers of supply chain members, game theoretic solution approaches are developed for fair solutions using Nash bargaining and lexicographic maximin principles. Especially, a hierarchical approach is developed to obtain an approximate optimal fair solution efficiently. The applicability and efficiency of the proposed approaches are demonstrated by two examples, including a real world agrochemical supply chain.

Type: Article
Title: Fair profit distribution in multi-echelon supply chains via transfer prices
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.omega.2017.08.010
Publisher version: https://doi.org/10.1016/j.omega.2017.08.010
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Social Sciences, Science & Technology, Technology, Management, Operations Research & Management Science, Business & Economics, Supply chains, Fair profit distribution, Transfer price, Mixed integer linear programming, Lexicographic maximin approach, Nash bargaining approach, LEXICOGRAPHIC MINIMAX APPROACH, NASH BARGAINING SOLUTIONS, TRANSFER PRICING MODEL, MULTIOBJECTIVE OPTIMIZATION, PROPORTIONAL FAIRNESS, BANDWIDTH ALLOCATION, RESOURCE-ALLOCATION, DEMAND UNCERTAINTY, NETWORKS, INTEGRATION
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/10058996
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