Maintenance schedule optimisation for manufacturing systems. Issue 3 (2020)

• Record Type: Journal Article
• Authors: Németh, István; Kocsis, Ádám; Takács, Donát; Shaheen, Basheer W.; Takács, Márton; Merlo, Angelo; Eytan, Amit; Bidoggia, Luisa; Olocco, Paolo
• Is Part Of: IFAC-PapersOnLine. Volume 53:Issue 3(2020)
• Page Start: 319
• Page End: 324
• Publication Date: 2020
• Subjects: genetic algorithm -- LCC -- maintenance engineering -- manufacturing -- Monte Carlo simulation -- multiobjective optimisations -- reliability analysis -- software engineering; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2020.11.051
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: The paper presents an integrated software platform developed within the framework of the EU project PROGRAMS, called Maintenance Schedule Optimisation (MSO), which comprises a set of software tools. The Tree Editing System (TES) is used to provide a structure of the system in the form of a hierarchical machine decomposition. The Life Data Analysis tool estimates reliability model parameters based on historical maintenance reports. The Reliability and Maintainability (R&M) Simulator evaluates the effect of the application of various maintenance strategies and policies and calculates relevant R&M KPIs. The Life Cycle Cost (LCC) Calculator estimates the maintenance related life cycle cost based on the R&M simulation results. The Optimisation Engine aims to select the most appropriate and cost-effective strategies and policies, to find the optimal preventive maintenance intervals, as well as to cluster the maintenance actions to reduce cost and the number of machine stops.