Simulation-based planning of maintenance activities in the automotive industry
Paper in proceeding, 2013

Factories world-wide do not utilize their existing capacity to a satisfactory level. Several studies indicate an average Overall Equipment Efficiency (OEE) of around 55% in manufacturing industry. One major reason is machine downtime leading to substantial system losses culminating in production plans with un-satisfactory robustness. This paper discusses an approach to integrate maintenance strategies into a pro-duction planning approach using discrete event simulation. The aim is to investigate how and where in the planning process maintenance strategies can be integrated and how different maintenance strategies influence production performance and the overall robustness of production plans. The approach is exemplified in an automotive case study, integrating strategies for reactive maintenance in a simulation model to sup-port decision making on how repair orders should be prioritized to increase production performance. The results show that introducing priority-based planning of maintenance activities has a potential to increase productivity by approximately 5%.


discrete event simulation

priority based maintenance


Maheshwaran Gopalakrishnan

Chalmers, Product and Production Development, Production Systems

Anders Skoogh

Chalmers, Product and Production Development, Production Systems

Christoph Laroque

Padernborn University

Proceedings of the 2013 Winter Simulation Conference 8 - 11 Dec, 2013, Washington D.C., USA

9781479939503 (ISBN)

Subject Categories

Production Engineering, Human Work Science and Ergonomics

Reliability and Maintenance

Driving Forces

Sustainable development

Areas of Advance






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