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A Multi-period Bi-level Stochastic Programming with Decision Dependent Uncertainty in Supply Chains

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Combinatorial Optimization (ISCO 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8596))

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Abstract

The closed loop supply chain faces some challenges related to the complexity of setting production capacity, maximizing the product architecture modularity and operations scheduling when remanufacturing is included in the supply chain networks. A multi-period bi-level stochastic programming framework is used by setting product architecture modularity design is integrated with supply chain networks design at the upper level and multi-period operations scheduling at the lower level. The result show that supply chain tends to postpone the product architecture modularization until the end of product life is imminent. The bi-level optimization is proven to be good approach to get global optimum of the closed loop supply chain.

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Acknowledgments

The authors are most grateful to the two anonymous reviewers, who provided helpful comments on the presentation of this paper. This research is supported by the postdoctoral research funding from the Academy of Finland under decision number 269693 and project number 2700041211.

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Authors and Affiliations

  1. Department of Production, University of Vaasa, 65101, Vaasa, Finland

    Yohanes Kristianto

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  1. Yohanes Kristianto
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Correspondence to Yohanes Kristianto .

Editor information

Editors and Affiliations

  1. Univ Pierre et Marie Curie LIP6, Paris, France

    Pierre Fouilhoux

  2. Universidade de Lisboa, Lisbon, Portugal

    Luis Eduardo Neves Gouveia

  3. LAMSADE, Université Paris-Dauphine, Paris Cedex 16, France

    A. Ridha Mahjoub

  4. LAMSADE, Université Paris-Dauphine, Paris Cedex 16, France

    Vangelis T. Paschos

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Kristianto, Y. (2014). A Multi-period Bi-level Stochastic Programming with Decision Dependent Uncertainty in Supply Chains. In: Fouilhoux, P., Gouveia, L., Mahjoub, A., Paschos, V. (eds) Combinatorial Optimization. ISCO 2014. Lecture Notes in Computer Science(), vol 8596. Springer, Cham. https://doi.org/10.1007/978-3-319-09174-7_27

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  • DOI: https://doi.org/10.1007/978-3-319-09174-7_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09173-0

  • Online ISBN: 978-3-319-09174-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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