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Related Experiment Video

Updated: Mar 19, 2026

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
10:36

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

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Optimization Models for Scheduling of Jobs.

S H Sathish Indika1, Douglas R Shier1

  • 1Department of Mathematical Sciences, Clemson University, Clemson, SC 29634-0975.

Journal of Research of the National Institute of Standards and Technology
|June 9, 2016
PubMed
Summary
This summary is machine-generated.

This study addresses aircraft maintenance scheduling by developing a heuristic approach for optimizing new job assignments in hangars. The method improves upon existing bin packing techniques for efficient logistics center operations.

Keywords:
aircraftbin packingheuristicinteger programmingmaintenanceoptimizationscheduling

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Last Updated: Mar 19, 2026

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
10:36

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Area of Science:

  • Operations Research
  • Logistics Management
  • Aerospace Engineering

Background:

  • Logistics centers face complex scheduling challenges in aircraft maintenance and modification.
  • Existing job schedules (start times, durations, workstation assignments) are known.
  • The need exists to efficiently schedule new jobs into available facility resources.

Purpose of the Study:

  • To develop an optimized scheduling strategy for new jobs in aircraft maintenance hangars.
  • To improve the efficiency of resource allocation within a single facility (hangar) with multiple workstations (bays).

Main Methods:

  • Development of a mixed integer quadratic programming (MIQP) model for the scheduling problem.
  • Creation of a heuristic procedure inspired by bin packing techniques to overcome computational complexity.
  • Enhancement of the heuristic through the application of local optimality conditions.

Main Results:

  • A computationally efficient heuristic procedure was developed for the aircraft maintenance scheduling problem.
  • The heuristic offers a practical solution for real-time scheduling decisions in logistics centers.
  • The method provides a viable alternative to exact solutions of complex optimization models.

Conclusions:

  • The proposed heuristic method effectively addresses the challenge of scheduling new jobs in aircraft maintenance facilities.
  • This approach offers a balance between solution quality and computational speed for practical logistics operations.
  • The study contributes to optimizing resource management in the aerospace MRO (Maintenance, Repair, and Overhaul) sector.