Multi-objective optimization for integrated production scheduling and maintenance planning

• Fauzi, Rifqi ^[1] ; Masruroh, Nur Aini ^[2]
  1. [1] State University of Malang

     State University of Malang

     Indonesia

     
  2. [2] Gadjah Mada University

     Gadjah Mada University

     Indonesia

     
• Localización: International Journal of Production Management and Engineering (IJPME), ISSN-e 2340-4876, ISSN 2340-5317, Vol. 14, Nº. 1, 2026, págs. 57-70
• Idioma: inglés
• Enlaces
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• Resumen

  • The search for integrated solutions in the machining industry, particularly in job shop production scheduling and maintenance planning, is crucial. This development aims to simultaneously inform production scheduling decisions and maintenance planning, thereby minimizing makespan and operational costs. The limited time for decision-making on an industrial scale presents a challenge in providing fast and optimal decisions. Therefore, optimization is carried out using an approximation approach: NSGA-II and MOALNS. A multi-objective optimization model has been successfully developed and can provide optimal results for the integrated production and maintenance scheduling. The mathematical model demonstrated robustness in various solved cases. NSGA-II reduced operational costs by up to 28% but increased makespan by 4%. In comparison, MOALNS reduced the makespan by up to 4% but only reduced operational costs by up to 16%. Finally, NSGA II consistently provides better performance results than MOALNS. With significant reductions in operational costs, the industry can save significantly on total operational costs, such as machine maintenance, labor costs, and maintaining output quality, from existing operations and can continue to serve customers more sustainably. NSGA-II is superior in covering the objective function space, achieving solution quality close to the Pareto front, and maintaining a consistent distribution of solutions.