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The vehicle routing problem with one-dimensional loading constraints

Author

Listed:
  • Junmin Yi
  • Zhixiong Su
  • Yihui Qiu

Abstract

This paper proposes a vehicle routing problem with one-dimensional loading constraints, originating from a pick-up route planning of milk-run operations in the automotive industry. With analysis on milk-run routing-loading decisions, a wall-building approximation method is applied to vehicle loading, and then the routing problem is introduced as a new CVRP problem with special constraints of one-dimensional loading rather than the 3L-CVRP's full dimensional loading, hence a 1L-CVRP problem emerges. The 1L-CVRP instances with case data are solved by genetic algorithms and discussions are conducted on results, approximation error study and application conditions. With its modelling, solution and application, the systematic scheme of this 1L-CVRP is aimed at enriching the newly-proposed nL-CVRP framework with more dimensionality and instances. In addition, this study also serves as a straightforward paradigm for real-world logistics routing and loading applications.

Suggested Citation

  • Junmin Yi & Zhixiong Su & Yihui Qiu, 2017. "The vehicle routing problem with one-dimensional loading constraints," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 27(3), pages 412-426.
  • Handle: RePEc:ids:ijisen:v:27:y:2017:i:3:p:412-426
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