Integrated Remanufacturing and Opportunistic Maintenance Decision-Making for Leased Batch Production Lines

With the development of the product-service paradigm, many original equipment manufacturers (OEMs) have begun to provide remanufacturing services besides maintenance services as the lessors. An integrated contract including remanufacturing and maintenance service brings extra leasing profits and complex scheduling challenges as well. The use of machine remanufacturing in conjunction with system-level opportunistic maintenance (OM) has not been previously studied. This paper tries to integrate remanufacturing planning into maintenance optimizations for improved system performance in terms of saved leasing profits. An integrated remanufacturing and opportunistic maintenance (R&OM) policy is developed and applied to a leased manufacturing line in batch production. The system-level saved profit achieved via the R&OM policy is estimated and maximized through a sequential decision-making programming. Performing this integrated policy, it is possible to utilize the sequential R&OM opportunities raised from the random batch orders. In addition, preventive maintenance (PM) and preventive remanufacturing (PR) can be dynamically optimized to form profit-effective schemes. Numerical examples based on the collected information from a leased batch production line of engine crankshaft demonstrate that this proposed R&OM policy could efficiently achieve saved leasing profit maximization, reduce joint decision complexity, and expand OM theory.

[1]  Abdelhakim Artiba,et al.  Minimizing the weighted sum of maximum earliness and maximum tardiness costs on a single machine with periodic preventive maintenance , 2014, Comput. Oper. Res..

[2]  Christophe Bérenguer,et al.  An opportunistic condition-based maintenance policy for offshore wind turbine blades subjected to degradation and environmental shocks , 2015, Reliab. Eng. Syst. Saf..

[3]  Jay Lee,et al.  Intelligent Maintenance Systems and Predictive Manufacturing , 2020 .

[4]  Zhiyong Gao,et al.  A novel framework for the reliability modelling of repairable multistate complex mechanical systems considering propagation relationships , 2018, Qual. Reliab. Eng. Int..

[5]  Nidhal Rezg,et al.  New dynamic heuristic for the optimization of opportunities to use new and remanufactured spare part in stochastic degradation context , 2017, J. Intell. Manuf..

[6]  Nidhal Rezg,et al.  Joint optimisation of spare parts demand and remanufacturing policy under condition-based maintenance for stochastic deteriorating manufacturing system , 2013 .

[7]  Refik Güllü,et al.  Optimal inventory and pricing policies for remanufacturable leased products , 2011 .

[8]  Xiao Liu,et al.  Condition-based maintenance for continuously monitored degrading systems with multiple failure modes , 2013 .

[9]  Gilvan C. Souza,et al.  Multiperiod Remanufacturing Planning With Uncertain Quality of Inputs , 2010, IEEE Transactions on Engineering Management.

[10]  Shozo Takata,et al.  Reconfiguration management of remanufactured products for responding to varied user needs , 2012 .

[11]  Kun Chen,et al.  Reliability Prediction for GIL Equipment Based on Multilayer Directed and Weighted Network and Failure Propagation , 2020, IEEE Transactions on Reliability.

[12]  W. C. Benton,et al.  Forecasting Product Returns for Remanufacturing Operations , 2012, Decis. Sci..

[13]  Hui-Chiung Lo,et al.  Joint determination of lease period and preventive maintenance policy for leased equipment with residual value , 2011, Comput. Ind. Eng..

[14]  Tangbin Xia,et al.  Triple-level opportunistic maintenance policy for leasehold service network of multi-location production lines , 2019, Reliab. Eng. Syst. Saf..

[15]  Thomas Kurfess,et al.  A Review of Modern Communication Technologies for Digital Manufacturing Processes in Industry 4.0 , 2020 .

[16]  Deborah L Thurston,et al.  End-of-life decision making with uncertain product return quantity , 2012 .

[17]  Jeffrey W. Herrmann,et al.  Finding optimally balanced words for production planning and maintenance scheduling , 2012 .

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

[19]  Zhiyong Gao,et al.  Evidence fusion-based framework for condition evaluation of complex electromechanical system in process industry , 2017, Knowl. Based Syst..

[20]  Lin Li,et al.  Demand Response Driven Production and Maintenance Decision Making for Cost Effective Manufacturing , 2018 .

[21]  Jun Ni,et al.  Prediction of Passive Maintenance Opportunity Windows on Bottleneck Machines in Complex Manufacturing Systems , 2015 .

[22]  N. Gebraeel,et al.  Lease-oriented opportunistic maintenance for multi-unit leased systems under product-service paradigm , 2017 .

[23]  W. Art Chaovalitwongse,et al.  Multicriteria variable selection for classification of production batches , 2012, Eur. J. Oper. Res..

[24]  Tangbin Xia,et al.  Energy-oriented maintenance decision-making for sustainable manufacturing based on MAM-ESW methodology , 2018 .

[25]  Tamer Boyacı,et al.  The effect of categorizing returned products in remanufacturing , 2004 .

[26]  Laine Mears,et al.  State of the Art Review on Process, System, and Operations Control in Modern Manufacturing , 2018 .

[27]  C. Richard Cassady,et al.  Integrating preventive maintenance planning and production scheduling for a single machine , 2005, IEEE Transactions on Reliability.

[28]  Zhen Liu,et al.  Condition-Based Dynamic Supportability Mechanism for the Performance Quality of Large-Scale Electromechanical Systems , 2020, IEEE Access.

[29]  D. N. Prabhakar Murthy,et al.  Optimal periodic preventive maintenance policy for leased equipment , 2006, Reliab. Eng. Syst. Saf..

[30]  Lin Wang,et al.  Joint optimisation of production, maintenance and quality for batch production system subject to varying operational conditions , 2019, Int. J. Prod. Res..

[31]  Xiaojun Zhou,et al.  Opportunistic preventive maintenance scheduling for a multi-unit series system based on dynamic programming , 2009 .

[32]  Mustapha Nourelfath,et al.  Integrating noncyclical preventive maintenance scheduling and production planning for multi-state systems , 2014, Reliab. Eng. Syst. Saf..

[33]  Stephan Biller,et al.  Maintenance opportunity planning system , 2007 .

[34]  Jie Zhang,et al.  Online defect recognition of narrow overlap weld based on two-stage recognition model combining continuous wavelet transform and convolutional neural network , 2019, Comput. Ind..

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

[36]  Ruey Huei Yeh,et al.  Preventive-maintenance policy for leased products under various maintenance costs , 2011, Expert Syst. Appl..

[37]  Saigopal Nelaturi,et al.  Industry Review of Distributed Production in Discrete Manufacturing , 2020 .

[38]  Simme Douwe Flapper,et al.  Product recovery in stochastic remanufacturing systems with multiple reuse options , 2001, Eur. J. Oper. Res..

[39]  John W. Sutherland,et al.  Component-Oriented Reassembly in Remanufacturing Systems: Managing Uncertainty and Satisfying Customer Needs , 2019, Journal of manufacturing science and engineering.

[40]  Chung-Cheng Lu,et al.  Exact algorithms for single-machine scheduling problems with a variable maintenance , 2016, Comput. Ind. Eng..

[41]  Luis Puigjaner,et al.  Effects of equipment failure uncertainty in batch production scheduling , 1995 .

[42]  Mohammed Dahane,et al.  Preventive remanufacturing planning of production equipment under operational and imperfect maintenance constraints: A hybrid genetic algorithm based approach , 2019, Reliab. Eng. Syst. Saf..

[43]  Yeong-Dae Kim,et al.  Minimizing the number of tardy jobs in a single-machine scheduling problem with periodic maintenance , 2012, Comput. Oper. Res..

[44]  Tangbin Xia,et al.  Online Analytics Framework of Sensor-Driven Prognosis and Opportunistic Maintenance for Mass Customization , 2019, Journal of Manufacturing Science and Engineering.

[45]  Rommert Dekker,et al.  An investigation of lead-time effects in manufacturing/remanufacturing systems under simple PUSH and PULL control strategies , 1999, Eur. J. Oper. Res..

[46]  U. S. Pasaribu,et al.  Optimal Lease Contract for Remanufactured Equipment , 2018 .

[47]  C. Chu,et al.  An improved exact algorithm for single-machine scheduling to minimise the number of tardy jobs with periodic maintenance , 2016 .