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An empirical study on coalition formation and cost/savings allocation

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  • Audy, Jean-François
  • D’Amours, Sophie
  • Rönnqvist, Mikael

Abstract

Interest has been raised by the recent identification of potential savings through collaborative planning in logistics operations. Even though substantial savings can be realized, two key questions exist: (i) how should potential savings be divided among a group of collaborating companies and (ii) among potential collaborating companies, how should collaborating group(s) be formed? These two questions are studied in a specific context: among potential collaborating companies; a subset, denoted the leading companies, performs collaborative planning on behalf of the others and together, they initiate formation of a collaborating group. We use the concept of a business model to detail such context. Based on the literature on network formation where potential savings are modelled by a cooperative game, four business models are explored in four different subsets of leading companies. We propose a network model as a method to determine the stable collaborating group in each computation. A case study including eight forest companies is described and analyzed. Results show that very different solution characteristics can be achieved depending on the business model selected.

Suggested Citation

  • Audy, Jean-François & D’Amours, Sophie & Rönnqvist, Mikael, 2012. "An empirical study on coalition formation and cost/savings allocation," International Journal of Production Economics, Elsevier, vol. 136(1), pages 13-27.
  • Handle: RePEc:eee:proeco:v:136:y:2012:i:1:p:13-27
    DOI: 10.1016/j.ijpe.2011.08.027
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    1. Basso, Franco & Guajardo, Mario & Varas, Mauricio, 2020. "Collaborative job scheduling in the wine bottling process," Omega, Elsevier, vol. 91(C).
    2. Sophie D'Amours & Mikael Rönnqvist, 2013. "An Educational Game in Collaborative Logistics," INFORMS Transactions on Education, INFORMS, vol. 13(2), pages 102-113, January.
    3. Mario Guajardo & Kurt Jörnsten & Mikael Rönnqvist, 2016. "Constructive and blocking power in collaborative transportation," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 38(1), pages 25-50, January.
    4. Kimms, A. & Kozeletskyi, I., 2016. "Core-based cost allocation in the cooperative traveling salesman problem," European Journal of Operational Research, Elsevier, vol. 248(3), pages 910-916.
    5. Brilka, Tim & Clausen, Uwe, 2021. "An approach to analyzing shippers' transportation management organization," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability. Proceedings of the Hamburg International Conf, volume 32, pages 259-288, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    6. Mehmet Onur Olgun, 2022. "Collaborative airline revenue sharing game with grey demand data," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(3), pages 861-882, September.
    7. Kidd, Martin P. & Borm, Peter, 2021. "On Determining Leading Coalitions in Supply Chains: Methodology and Application," Discussion Paper 2021-009, Tilburg University, Center for Economic Research.
    8. M. A. Goberna & M. A. López, 2017. "Recent contributions to linear semi-infinite optimization," 4OR, Springer, vol. 15(3), pages 221-264, September.
    9. Joen Dahlberg & Stefan Engevall & Maud Göthe-Lundgren & Kurt Jörnsten & Mikael Rönnqvist, 2019. "Incitements for transportation collaboration by cost allocation," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(4), pages 1009-1032, December.
    10. Palsule-Desai, Omkar D. & Tirupati, Devanath & Chandra, Pankaj, 2013. "Stability issues in supply chain networks: Implications for coordination mechanisms," International Journal of Production Economics, Elsevier, vol. 142(1), pages 179-193.
    11. Miguel A. Morales-Arroyo & Yun-ke Chang & Alejandro Barragán-Ocaña & Jaime Jiménez & Gabriel Sánchez-Guerrero, 2012. "Coordination Mechanisms Illustrated with Project Management Using the Viable System Model (VSM) as Organizational Framework," Jindal Journal of Business Research, , vol. 1(2), pages 163-176, December.
    12. M. A. Goberna & M. A. López, 2018. "Recent contributions to linear semi-infinite optimization: an update," Annals of Operations Research, Springer, vol. 271(1), pages 237-278, December.
    13. Ben Jouida, Sihem & Krichen, Saoussen & Klibi, Walid, 2017. "Coalition-formation problem for sourcing contract design in supply networks," European Journal of Operational Research, Elsevier, vol. 257(2), pages 539-558.
    14. Xiaozhou Xu & Shenle Pan & Eric Ballot, 2013. "A sharing mechanism for superadditive and non-superadditive logistics cooperation," Post-Print halshs-00876006, HAL.
    15. Guajardo, Mario & Rönnqvist, Mikael & Flisberg, Patrik & Frisk, Mikael, 2018. "Collaborative transportation with overlapping coalitions," European Journal of Operational Research, Elsevier, vol. 271(1), pages 238-249.

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