Simulation-supported maintenance design and decision-making using agent-based modeling technology. Issue 1 (2021)

• Record Type: Journal Article
• Authors: Kono, T.; Haneda, K.
• Is Part Of: CIRP annals. Volume 70:Issue 1(2021)
• Page Start: 13
• Page End: 16
• Publication Date: 2021
• Subjects: Maintenance -- Simulation -- Agent-based modeling; Production engineering -- Research -- Periodicals; 670.5
• DOI: 10.1016/j.cirp.2021.03.014
• Languages: English
• ISSNs: 0007-8506

Abstract

Abstract: The optimization and continuous update of maintenance design, such as organization plans or introducing Internet-of-Things, are crucial for reliable and profitable maintenance business. However, various factors and interactions in maintenance make quantitative estimations of risk difficult and slows the improvement process. We developed a maintenance-business simulator on the basis of agent-based modeling that is applicable to a wide range of industries for testing various types of improvements. We applied our simulator to an organization plan of a medical-equipment business. We determined future business risks and tested the mitigation plan with the simulator.