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Improving the Decision-Making of Reverse Logistics Network Design Part II: An Improved Scenario-Based Solution Method and Numerical Experimentation

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Advanced Manufacturing and Automation VII (IWAMA 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 451))

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Abstract

The study of the network design problems related to reverse supply chain and reverse logistics is of great interest for both academicians and practitioners due to its important role for a sustainable society. However, reverse logistics network design is a complex decision-making problem that involves several interactive factors and faces many uncertainties. Thus, in order to improve the reverse logistics network design, this paper proposes a new optimization model under stochastic environment and an improved solution method for network design of a multi-stage multi-product reveres supply chain. The study is presented in a series of two parts. Part I presents the relevant literature and formulates a stochastic mixed integer linear programming (MILP) for improving the decision-making of the reverse logistics network design. Part II improves the solution methods for the proposed stochastic programming and illustrates the application through a numerical experimentation.

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Author information

Authors and Affiliations

  1. Department of Industrial Engineering, UiT The Arctic University of Norway, Lodve Langesgate 2, 8514, Narvik, Norway

    Hao Yu & Wei Deng Solvang

Authors
  1. Hao Yu
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  2. Wei Deng Solvang
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Corresponding author

Correspondence to Hao Yu .

Editor information

Editors and Affiliations

  1. Department of Production and Quality Engineering, Norwegian University of Science and Technology, Trondheim, Sør-Trøndelag Fylke, Norway

    Kesheng Wang

  2. School of Business, Plymouth University, Plymouth, United Kingdom

    Yi Wang

  3. Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, Trondheim, Sør-Trøndelag Fylke, Norway

    Jan Ola Strandhagen

  4. Shanghai Second Polytechnic University, Shanghai, China

    Tao Yu

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Yu, H., Solvang, W.D. (2018). Improving the Decision-Making of Reverse Logistics Network Design Part II: An Improved Scenario-Based Solution Method and Numerical Experimentation. In: Wang, K., Wang, Y., Strandhagen, J., Yu, T. (eds) Advanced Manufacturing and Automation VII. IWAMA 2017. Lecture Notes in Electrical Engineering, vol 451. Springer, Singapore. https://doi.org/10.1007/978-981-10-5768-7_45

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  • DOI: https://doi.org/10.1007/978-981-10-5768-7_45

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5767-0

  • Online ISBN: 978-981-10-5768-7

  • eBook Packages: EngineeringEngineering (R0)

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