A Multiproduct Multi-vehicle Inventory Routing Problem with Uncertainty


Ercan S., Çınar Ünal D.

SUSTAINABLE LOGISTICS AND TRANSPORTATION: OPTIMIZATION MODELS AND ALGORITHMS, vol.129, pp.181-198, 2017 (Refereed Journals of Other Institutions) identifier

  • Publication Type: Article / Article
  • Volume: 129
  • Publication Date: 2017
  • Doi Number: 10.1007/978-3-319-69215-9_8
  • Title of Journal : SUSTAINABLE LOGISTICS AND TRANSPORTATION: OPTIMIZATION MODELS AND ALGORITHMS
  • Page Numbers: pp.181-198

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.