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  • 标题:Maintenance schedule optimisation for manufacturing systems
  • 本地全文:下载
  • 作者:István Németh ; Ádám Kocsis ; Donát Takács
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:3
  • 页码:319-324
  • DOI:10.1016/j.ifacol.2020.11.051
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe 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.
  • 关键词:Keywordsgenetic algorithmLCCmaintenance engineeringmanufacturingMonte Carlo simulationmultiobjective optimisationsreliability analysissoftware engineering
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