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Multi-objective modeling for preventive maintenance scheduling in a multiple production line

Published: 01 February 2015 Publication History

Abstract

The change of market and the explosion of product variety have led to increased automation and the need for complex equipment. Therefore, the reliability and the maintainability of the equipment play an important role in controlling both the quantity and quality of the products. In order to ensure specified availability and reliability of production process, preventive maintenance (PM) should be taken during production process. However, taking unscheduled PM can impose high costs to the firm, and adversely decrease the reliability of production line. In this paper, a multi-objective PM scheduling problem in a multiple production line is considered. Reliability of production lines, costs of maintaining, failure and downtime of system are measured as multiple objectives, and different thresholds for available manpower, spare part inventory and periods under maintenance is applied. Production system in this paper consists of serial and parallel machines. Finally, a test problem has been solved to show the effectiveness of the proposed model.

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  • (2022)Integrated scheduling of production, inventory and imperfect maintenance based on mutual feedback of supplier and demander in distributed environmentJournal of Intelligent Manufacturing10.1007/s10845-022-01996-z34:8(3445-3467)Online publication date: 2-Sep-2022
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  • (2018)Multi performance parameters analysis in a manufacturing system using fuzzy logic and optimal neural network modelInternational Journal of Business Intelligence and Data Mining10.5555/3282631.328263413:4(406-424)Online publication date: 1-Jan-2018
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Published In

cover image Journal of Intelligent Manufacturing
Journal of Intelligent Manufacturing  Volume 26, Issue 1
February 2015
205 pages

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 February 2015

Author Tags

  1. Effective age
  2. Maintenance cost
  3. Multi-objective optimization
  4. Reliability
  5. Series-parallel system
  6. UGF

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  • (2022)Integrated scheduling of production, inventory and imperfect maintenance based on mutual feedback of supplier and demander in distributed environmentJournal of Intelligent Manufacturing10.1007/s10845-022-01996-z34:8(3445-3467)Online publication date: 2-Sep-2022
  • (2019)Manufacturing paradigm-oriented PHM methodologies for cyber-physical systemsJournal of Intelligent Manufacturing10.1007/s10845-017-1342-230:4(1659-1672)Online publication date: 1-Apr-2019
  • (2018)Multi performance parameters analysis in a manufacturing system using fuzzy logic and optimal neural network modelInternational Journal of Business Intelligence and Data Mining10.5555/3282631.328263413:4(406-424)Online publication date: 1-Jan-2018
  • (2018)Hybrid MCDM based methodology for selecting the optimum maintenance strategy for ship machinery systemsJournal of Intelligent Manufacturing10.5555/3195374.319542929:3(519-531)Online publication date: 1-Mar-2018
  • (2017)A novel approach to wavelet selection and tree kernel construction for diagnosis of rolling element bearing faultJournal of Intelligent Manufacturing10.1007/s10845-015-1070-428:8(1847-1858)Online publication date: 1-Dec-2017
  • (2016)Maintenance Scheduling Optimization in a Multiple Production Line Considering Human ErrorHuman Factors in Ergonomics & Manufacturing10.1002/hfm.2040526:6(655-666)Online publication date: 1-Nov-2016

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