Maintenance scheduling for modular systems: Modeling and algorithms

Abstract

We study new models of scheduled maintenance management for modular systems, consisting of multiple components with respective cycle limits. The cycle limit of each component specifies the time interval in which this component must be repaired or replaced. The goal is to compute a feasible maintenance schedule that minimizes the cost associated with component maintenance. Applications of these models arise in Air Force aircraft maintenance as well as in other arenas with required preventive maintenance. The typical cost structures that arise in practical settings are submodular, which make the resulting models computationally challenging. We develop two efficient and operationally tenable approximation algorithms. We prove constant factor worst‐case guarantees for both algorithms, and present computational experiments showing that these algorithms perform within a few percent of optimality on operationally relevant instances. © 2014 Wiley Periodicals, Inc. Naval Research Logistics 61: 472–488, 2014

Document Details

Document Type
Pub Defense Publication
Publication Date
Jul 31, 2014
Source ID
10.1002/nav.21597

Entities

People

  • Danny Segev
  • Eric Zarybnisky
  • Jack Muckstadt
  • Retsef Levi
  • Thomas Magnanti

Organizations

  • Air Force Office of Scientific Research
  • Cornell University
  • Massachusetts Institute of Technology
  • National Science Foundation
  • University of Haifa

Tags

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Logistics and Supply Chain Management.
  • Operations Research