Abstract
This work addresses the optimisation of transfer prices for the fair profit distribution among the members involved in a global supply chain in the process industry. A mixed integer linear programming (MILP) model is developed for production and distribution planning of global supply chains, where the optimal transfer prices of products between plants and markets are determined. Two solution approaches are presented for fair solutions using Nash and lexicographic maximin principles. The applicability of the proposed models and approaches are demonstrated by an illustrative example. The results show that both approaches can fairly distribute the whole supply chain’s profit to the members.
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Acknowledgements
Funding from the UK Engineering & Physical Sciences Research Council (EPSRC) for the EPSRC Centre for Innovative Manufacturing in Emergent Macromolecular Therapies hosted by University College London is gratefully acknowledged. Financial support from the consortium of industrial and governmental users is also acknowledged.
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© 2016 Springer International Publishing Switzerland
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Liu, S., Fucarino, R., Papageorgiou, L.G. (2016). Fair Transfer Prices of Global Supply Chains in the Process Industry. In: Fonseca, R., Weber, GW., Telhada, J. (eds) Computational Management Science. Lecture Notes in Economics and Mathematical Systems, vol 682. Springer, Cham. https://doi.org/10.1007/978-3-319-20430-7_18
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DOI: https://doi.org/10.1007/978-3-319-20430-7_18
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-20429-1
Online ISBN: 978-3-319-20430-7
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