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Solving routing problems with pairwise synchronization constraints.

Sophie N Parragh1,2, Karl F Doerner2

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Summary
This summary is machine-generated.

This study addresses pairwise route synchronization in service technician scheduling, requiring simultaneous visits to locations. The developed metaheuristic algorithm achieves optimal or near-optimal results on benchmark instances.

Keywords:
MetaheuristicRouting and schedulingVisit time synchronization

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Area of Science:

  • Operations Research
  • Logistics Optimization
  • Computational Intelligence

Background:

  • Pairwise route synchronization constraints are critical in service technician routing and mobile care logistics.
  • These constraints mandate that two personnel visit the same location concurrently.

Purpose of the Study:

  • To analyze and integrate pairwise route synchronization into the vehicle routing problem with time windows and generic scheduling problems.
  • To develop and evaluate a metaheuristic algorithm for solving these complex routing and scheduling challenges.

Main Methods:

  • Comparison of different approaches for handling pairwise route synchronization.
  • Integration of a synchronization component into a tailored metaheuristic algorithm.
  • Testing the algorithm on established benchmark instances from the literature.

Main Results:

  • The proposed algorithm achieved optimal values for nearly all benchmark instances.
  • Several new best-in-class results were obtained for the remaining instances.
  • Demonstrated effectiveness in solving complex routing problems with synchronization requirements.

Conclusions:

  • The developed metaheuristic effectively handles pairwise route synchronization in routing and scheduling problems.
  • The algorithm offers a robust solution for real-world logistics and mobile care scenarios.
  • Significant improvements in solution quality were observed on benchmark datasets.