An improved opportunity maintenance model of complex system

To solve the problems of multiple parts, high cost of disassembly, and imperfect maintenance in multi-component complex systems, an opportunistic maintenance model of multi-component complex systems based on a time threshold is proposed in this article. The influence of the disassembly sequence and hybrid evolution factors on maintenance and learning-forgetting effects are considered in the proposed model. In this article, the learning-forgetting effect of the field strip in the components on the same level or components on different levels is considered in addition to the shortest disassembly path of multi-component complex systems. Imperfect and preventive maintenance is applied in a complex system, and random failure involves minor repairs. Multiple objectives that minimize maintenance costs and maximize operation time rate are proposed. Monte Carlo simulation is used to solve the model and obtain the time threshold of optimal opportunistic maintenance. The results show the feasibility of the opportunistic maintenance model.

[1]  Makarand S. Kulkarni,et al.  Optimisation of opportunistic maintenance of a multi-component system considering the effect of failures on quality and production schedule: A case study , 2013 .

[2]  Laibin Zhang,et al.  Risk based opportunistic maintenance model for complex mechanical systems , 2014, Expert Syst. Appl..

[3]  Sunantha Teyarachakul,et al.  Learning effects on maintenance outsourcing , 2009, Eur. J. Oper. Res..

[4]  M. Jaber,et al.  Vendor managed inventory (VMI) with consignment considering learning and forgetting effects , 2012 .

[5]  Shun Jia,et al.  Energy modeling method of machine-operator system for sustainable machining , 2018, Energy Conversion and Management.

[6]  Jinqiu Hu.  Opportunistic Maintenance Strategy for Complex Oil and Gas Production Equipment Based on Fault Preventive Defense , 2013 .

[7]  Wenjing Lu,et al.  Improved impact assessment of odorous compounds from landfills using Monte Carlo simulation. , 2019, The Science of the total environment.

[8]  Nidhal Rezg,et al.  Optimization of Two-Level Disassembly/Remanufacturing/Assembly System with an Integrated Maintenance Strategy , 2018 .

[9]  Wei Liang,et al.  Opportunistic predictive maintenance for complex multi-component systems based on DBN-HAZOP model , 2012 .

[10]  Zhang Xiu-shan.  Disassembly sequence generation algorithm based on spherical map and disassembly tree , 2010 .

[11]  Cristiano Alexandre Virgínio Cavalcante,et al.  Multi-criteria model to support the definition of opportunistic maintenance policy: A study in a cogeneration system , 2015 .

[12]  Tangbin Xia,et al.  Production-driven opportunistic maintenance for batch production based on MAM-APB scheduling , 2015, Eur. J. Oper. Res..

[13]  Athena Zitrou,et al.  The signal model: A model for competing risks of opportunistic maintenance , 2011, Eur. J. Oper. Res..

[14]  Ying Liu,et al.  Therblig-embedded value stream mapping method for lean energy machining , 2017 .

[15]  Zhigang Tian,et al.  Opportunistic maintenance for wind farms considering multi-level imperfect maintenance thresholds , 2012 .

[16]  James E. Ward,et al.  Effect of Learning and Forgetting on Batch Sizes , 2011 .