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A Multiproduct Multi-vehicle Inventory Routing Problem with Uncertainty

In: Sustainable Logistics and Transportation

Author

Listed:
  • Secil Ercan

    (Istanbul Technical University)

  • Didem Cinar

    (Istanbul Technical University)

Abstract

As a result of the increase in environmental problems, green logistics has become an important subject in the supply chain literature. In this study, a multiproduct multi-vehicle inventory routing problem is modeled by considering the cost stemming from fuel consumption as an environmental objective. Demand and inventory holding costs are taken into account as uncertain parameters. A sample average approximation algorithm is used to solve the problem. The performance of the algorithm is evaluated in terms of optimality gap and computational time by using a data set from the literature. The computational experiments give promising results for further research.

Suggested Citation

  • Secil Ercan & Didem Cinar, 2017. "A Multiproduct Multi-vehicle Inventory Routing Problem with Uncertainty," Springer Optimization and Its Applications, in: Didem Cinar & Konstantinos Gakis & Panos M. Pardalos (ed.), Sustainable Logistics and Transportation, pages 181-198, Springer.
    • Handle: RePEc:spr:spochp:978-3-319-69215-9_8
    DOI: 10.1007/978-3-319-69215-9_8
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