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Modelling and solution of a large-scale vehicle routing problem at GE appliances & lighting

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  • Ehsan Khodabandeh
  • Lihui Bai
  • Sunderesh S. Heragu
  • Gerald W. Evans
  • Thomas Elrod
  • Mark Shirkness

Abstract

We consider a special case of the vehicle routing problem where not only each customer has specified delivery time window, but each route has limited time duration. We propose a solution algorithm using network reduction techniques and simulated annealing meta-heuristic. The objective is twofold: minimising the travel time and minimising the total number of vehicles required. The time-window constraint ensures delivery without delay, thus, a potentially higher level of customer satisfaction. The algorithm has helped the transportation planning team at General Electric Appliances & Lighting to significantly reduce the number of required trucks in two real cases, while its performance on randomly generated cases is also efficient when compared to properly selected benchmarking algorithms.

Suggested Citation

  • Ehsan Khodabandeh & Lihui Bai & Sunderesh S. Heragu & Gerald W. Evans & Thomas Elrod & Mark Shirkness, 2017. "Modelling and solution of a large-scale vehicle routing problem at GE appliances & lighting," International Journal of Production Research, Taylor & Francis Journals, vol. 55(4), pages 1100-1116, February.
    • Handle: RePEc:taf:tprsxx:v:55:y:2017:i:4:p:1100-1116
    DOI: 10.1080/00207543.2016.1220685
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    References listed on IDEAS

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    Cited by:

    1. Xiaxia Ma & Wenliang Bian & Wenchao Wei & Fei Wei, 2022. "Customer-Centric, Two-Product Split Delivery Vehicle Routing Problem under Consideration of Weighted Customer Waiting Time in Power Industry," Energies, MDPI, vol. 15(10), pages 1-23, May.

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