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Sustainable Logistics and Transportation pp 39–55Cite as

Cumulative VRP: A Simplified Model of Green Vehicle Routing

Part of the Springer Optimization and Its Applications book series (SOIA,volume 129)

Abstract

There has been a recent resurge of interest in vehicle routing problems, especially in the context of green vehicle routing. One popular and simplified model is that of the cumulative vehicle routing problem. In this chapter, we examine the motivation, the definition, and the mixed integer linear program for the cumulative VRP. We review some of the recent results on approximation algorithms for the cumulative VRP. A column generation-based procedure for solving the cumulative VRP is also described. We also review approximation algorithms for a stochastic version of the cumulative VRP.

Keywords

  • Vehicle Routing Problem (VRPs)
  • Mixed Integer Linear Programming (MILP)
  • Capacitated VRPs
  • VRPs With Stochastic Demands
  • Subtour

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Indian Institute of Technology Bhilai, GEC Campus, Sejbahar, Raipur, Chhattisgarh, India

    Rishi Ranjan Singh

  2. Department of Mathematics and Computer Science, University of Lethbridge, Lethbridge, AB, Canada

    Daya Ram Gaur

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  1. Rishi Ranjan Singh
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  2. Daya Ram Gaur
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Correspondence to Rishi Ranjan Singh .

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Editors and Affiliations

  1. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Dr. Didem Cinar

  2. Department of Industrial and Systems Engineering, University of Florida, Gainesville, Florida, USA

    Konstantinos Gakis

  3. Department of Industrial and Systems Engineering, University of Florida, Gainesville, Florida, USA

    Panos M. Pardalos

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Singh, R.R., Gaur, D.R. (2017). Cumulative VRP: A Simplified Model of Green Vehicle Routing. In: Cinar, D., Gakis, K., Pardalos, P. (eds) Sustainable Logistics and Transportation. Springer Optimization and Its Applications, vol 129. Springer, Cham. https://doi.org/10.1007/978-3-319-69215-9_3

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