MODIFIED SWEEPING ALGORITHM FOR SOLVING CAPACITATED VEHICLE ROUTING PROBLEM WITH RADIAL CLUSTERED PATTERNS

Authors

  • Lubna Altarawneh Binghamton University
  • Soongeol Kwon Yonsei University

DOI:

https://doi.org/10.23055/ijietap.2023.30.3.8595

Keywords:

Capacitated Vehicle Routing Problem, Cluster-First Route-Second Approach, Sweeping Algorithm, Radial Clustered Patterns

Abstract

This research proposes a modification to the Sweeping Algorithm (SWA) to solve the Capacitated Vehicle Routing Problem (CVRP) for real-world cases where locations are present on radial patterns. The SWA solves CVRP instances efficiently by performing angular sweeping to obtain clusters of locations. However, the SWA does not consider radial distances when clustering the locations, which may cause inefficient clustering when there is a presence of locations on radial patterns. Therefore, this research proposes a systematic approach to solve CVRP instances with apparent radial clusters by considering their angular and radial distances in the clustering phase. This method is configurable to locations’ geography and can handle different locations’ assignments. The experimental results indicate that the proposed heuristic outperforms SWA and its well-known variant, Sweep Nearest Neighbor (SNN), for the targeted instances designed with radial clusters. The results for CVRP benchmark instances show comparable performance when using the proposed heuristic.

Author Biography

Lubna Altarawneh, Binghamton University

Department of Systems Science and Industrial Engineering, Binghamton University, SUNY, 4400 Vestal Parkway East, Binghamton, NY 13902, USA

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Published

2023-06-16

How to Cite

Altarawneh, L., & Kwon, S. (2023). MODIFIED SWEEPING ALGORITHM FOR SOLVING CAPACITATED VEHICLE ROUTING PROBLEM WITH RADIAL CLUSTERED PATTERNS. International Journal of Industrial Engineering: Theory, Applications and Practice, 30(3). https://doi.org/10.23055/ijietap.2023.30.3.8595

Issue

Section

Logistics and Material Handling