A Multiproduct Multi-vehicle Inventory Routing Problem with Uncertainty

Secil Ercan () and Didem Cinar ()
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Secil Ercan: Istanbul Technical University
Didem Cinar: Istanbul Technical University

A chapter in Sustainable Logistics and Transportation, 2017, pp 181-198 from Springer

Abstract: 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.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-319-69215-9_8

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DOI: 10.1007/978-3-319-69215-9_8

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