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Related Experiment Video

Updated: Feb 10, 2026

BioMEMS: Forging New Collaborations Between Biologists and Engineers
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Published on: November 1, 2007

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Exact solutions for the collaborative pickup and delivery problem.

Margaretha Gansterer1, Richard F Hartl1, Philipp E H Salzmann1

  • 1Department for Business Administration, University of Vienna, Oskar-Morgenstern-Platz 1, 1090 Vienna, Austria.

Central European Journal of Operations Research
|May 19, 2018
PubMed
Summary
This summary is machine-generated.

This study optimizes carrier collaborations for pickup and delivery services by minimizing total costs. A new approach using column generation significantly outperforms other methods when balancing workloads among participants.

Keywords:
CollaborationsExact solutionsTraveling salesman problemVehicle routing

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Area of Science:

  • Operations Research
  • Logistics Management
  • Transportation Science

Background:

  • Pickup and delivery services face complex routing and scheduling challenges.
  • Collaborative models aim to improve efficiency and reduce costs in logistics.
  • Uneven workload distribution can lead to inefficiencies in carrier collaborations.

Purpose of the Study:

  • To investigate the central authority's decision problem in collaborative pickup and delivery.
  • To formulate and solve the multi-depot traveling salesman problem with pickups and deliveries.
  • To introduce and evaluate minimum workload constraints for balanced distribution.

Main Methods:

  • Formulation as a multi-depot traveling salesman problem with pickups and deliveries.
  • Application and comparison of three exact solution approaches: Benders decomposition and column generation.
  • Introduction of minimum workload constraints to ensure equitable task distribution.

Main Results:

  • Benders decomposition is effective for the original problem.
  • Column generation significantly outperforms Benders decomposition for the problem with minimum workload constraints.
  • Computational time analysis of different solution approaches.

Conclusions:

  • Column generation is the preferred method for collaborative pickup and delivery problems with workload balancing.
  • The study provides benchmark results for decentralized collaborative mechanisms.
  • Optimized redistribution of customer requests minimizes total costs in carrier collaborations.