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A hybrid approach to configure eco-efficient supply chains under consideration of performance and risk aspects

Abstract

Formal models that support multi-criteria decision making represent a strongly growing area in sustainable supply chain management research. However, uncertainties and risks are seldom considered in quantitative models for green supply chain (SC) design. The paper at hand suggests a hybrid approach to configure an eco-efficient SC for a new product under consideration of economic and environmental risks. Discrete-event simulation is applied to assess the financial, operational and environmental performance of different SC configuration options while the value-at-risk concept is adapted to evaluate related SC risks. The analytic hierarchy process is employed to solve the resulting multi-criteria decision problem of choosing the best option. The approach is illustrated at a case example of a fast moving consumer goods manufacturer.

Zitieren

1.
Brandenburg M. A hybrid approach to configure eco-efficient supply chains under consideration of performance and risk aspects. Omega. 2017;70:58-76. doi:10.1016/j.omega.2016.09.002.
Brandenburg, M. . (2017). A hybrid approach to configure eco-efficient supply chains under consideration of performance and risk aspects. Omega, 70, 58–76. http://doi.org/10.1016/j.omega.2016.09.002
Brandenburg, Marcus. 2017. „A Hybrid Approach to Configure Eco-Efficient Supply Chains under Consideration of Performance and Risk Aspects“. Omega 70: 58-76. doi:10.1016/j.omega.2016.09.002.
Brandenburg, Marcus. „A Hybrid Approach to Configure Eco-Efficient Supply Chains under Consideration of Performance and Risk Aspects“. Omega 70 (2017): 58–76.
Brandenburg, Marcus. „A Hybrid Approach to Configure Eco-Efficient Supply Chains under Consideration of Performance and Risk Aspects“. Omega, Bd. 70, 2017, S. 58–76, doi:10.1016/j.omega.2016.09.002.

Details

  • Volume

    70
  • Number of Pages

    58-76
  • ISSN Number

    0305-0483
  • URL

    https://www.sciencedirect.com/science/article/pii/S0305048316305990