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Route Planning for Intra-Hospital Patient Transportation Using Metaheuristics and Mixed Integer Linear Programming.

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This summary is machine-generated.

This study optimizes patient transportation routes within hospitals using advanced algorithms. The developed method efficiently allocates jobs to transporters, minimizing travel and idle times for improved healthcare logistics.

Keywords:
Digital HealthHealthcareIntra-Hospital TransportationMetaheuristicsMixed Integer Linear ProgrammingMulti-objective optimization

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Area of Science:

  • Healthcare Operations Research
  • Logistics Optimization
  • Hospital Management Systems

Background:

  • Healthcare services involve complex processes impacting patient care quality.
  • Patient transportation, both inter- and intra-hospital, is a critical logistical challenge.
  • Existing intra-hospital transportation route planning faces complexities from dynamic factors and fairness considerations.

Purpose of the Study:

  • To determine the optimal number of transporters required for intra-hospital patient transport.
  • To generate efficient route plans for all transporters, distributing jobs within shifts.
  • To minimize total travel time, idle time, and travel time deviations among transporters.

Main Methods:

  • Utilized multi-staged Local Search Metaheuristics for primary objective achievement.
  • Integrated Mixed Integer Linear Programming for fair job allocation and constraint formulation.
  • Incorporated optimization constraints to satisfy secondary objectives, including minimizing travel and idle times.

Main Results:

  • Successfully determined feasible numbers of transporters and generated optimized route plans.
  • Achieved significant reductions in total travel and idle times for transporters.
  • Demonstrated minimized deviations in total travel time across all transporters, ensuring workload fairness.
  • The optimization constraints effectively balanced multiple objectives in route planning.

Conclusions:

  • The proposed multi-staged Local Search Metaheuristics with Mixed Integer Linear Programming offers a robust solution for intra-hospital patient transportation.
  • The method enhances the efficiency and fairness of patient transport logistics within hospitals.
  • This approach leads to improved healthcare service quality through optimized resource allocation and reduced operational inefficiencies.