0
Research Papers

Lease-Oriented Opportunistic Maintenance for Multi-Unit Leased Systems Under Product-Service Paradigm

[+] Author and Article Information
Tangbin Xia

Mem. ASME
State Key Laboratory of Mechanical System
and Vibration,
Department of Industrial Engineering,
School of Mechanical Engineering,
Shanghai Jiao Tong University,
Shanghai 200240, China;
H. Milton Stewart School of Industrial
and Systems Engineering,
Georgia Institute of Technology,
765 Ferst Drive,
Atlanta, GA 30332
e-mails: xtbxtb@sjtu.edu.cn; txia60@gatech.edu

Lifeng Xi

State Key Laboratory of Mechanical System
and Vibration,
Department of Industrial Engineering,
School of Mechanical Engineering,
Shanghai Jiao Tong University,
Shanghai 200240, China
e-mail: lfxi@sjtu.edu.cn

Ershun Pan

State Key Laboratory of Mechanical System
and Vibration,
Department of Industrial Engineering,
School of Mechanical Engineering,
Shanghai Jiao Tong University,
Shanghai 200240, China

Xiaolei Fang

H. Milton Stewart School of Industrial and
Systems Engineering,
Georgia Institute of Technology,
765 Ferst Drive,
Atlanta, GA 30332

Nagi Gebraeel

H. Milton Stewart School of Industrial
and Systems Engineering,
Georgia Institute of Technology,
765 Ferst Drive,
Atlanta, GA 30332

1Corresponding author.

Manuscript received September 5, 2016; final manuscript received January 21, 2017; published online March 8, 2017. Assoc. Editor: Dragan Djurdjanovic.

J. Manuf. Sci. Eng 139(7), 071005 (Mar 08, 2017) (10 pages) Paper No: MANU-16-1485; doi: 10.1115/1.4035962 History: Received September 05, 2016; Revised January 21, 2017

With many industries increasingly relying on leased equipment and machinery, many original equipment manufacturers (OEMs) are turning to product-service packages where they deliver (typically lease) the physical assets. An integrated service contract will be offered for the asset. A classic example being Rolls Royce power-by-the-hour aircraft engines. Service contracts offered by original equipment manufacturers have predominantly focused on maintenance and upkeep activities for a single asset. Interestingly enough, manufacturing industries are beginning to adopt the product-service paradigm. However, one of the unique aspects in manufacturing settings is that the leased system is often not a single asset but instead a multi-unit system (e.g., an entire production line). In this paper, we develop a lease-oriented maintenance methodology for multi-unit leased systems under product-service paradigm. Unlike traditional maintenance models, we propose a leasing profit optimization (LPO) policy to adaptively compute optimal preventive maintenance (PM) schedules that capture the following dynamics: (1) the structural dependencies of the multi-unit system, (2) opportunistic maintenance of multiple system components, and (3) leasing profit savings (LPSs). We demonstrate the performance of our multi-unit maintenance policy by using a leased automotive manufacturing line and investigate its impact on leasing profits.

FIGURES IN THIS ARTICLE
<>
Copyright © 2017 by ASME
Your Session has timed out. Please sign back in to continue.

References

Yeh, R. H. , Chang, W. L. , and Lo, H. C. , 2011, “ Optimal Length of Lease Period and Maintenance Policy for Leased Equipment With a Control-Limit on Age,” Math. Comput. Modell., 54(9–10), pp. 2014–2019. [CrossRef]
Zhang, Z. , Liu, G. , Jiang, Z. , and Chen, Y. , 2015, “ A Cloud-Based Framework for Lean Maintenance, Repair, and Overhaul of Complex Equipment,” ASME J. Manuf. Sci. Eng., 137(4), p. 040908. [CrossRef]
Yang, S. , Bagheri, B. , Kao, H. A. , and Lee, J. , 2015, “ A Unified Framework and Platform for Designing of Cloud-Based Machine Health Monitoring and Manufacturing Systems,” ASME J. Manuf. Sci. Eng., 137(4), p. 040914. [CrossRef]
Xia, T. , Jin, X. , Xi, L. , Zhang, Y. , and Ni, J. , 2015, “ Operating Load Based Real-Time Rolling Grey Forecasting for Machine Health Prognosis in Dynamic Maintenance Schedule,” J. Intell. Manuf., 26(2), pp. 269–280. [CrossRef]
Celen, M. , and Djurdjanovic, D. , 2015, “ Integrated Maintenance Decision-Making and Product Sequencing in Flexible Manufacturing Systems,” ASME J. Manuf. Sci. Eng., 137(4), p. 041006. [CrossRef]
Zhou, J. , Djurdjanovic, D. , Ivy, J. , and Ni, J. , 2007, “ Integrated Reconfiguration and Age-Based Preventive Maintenance Decision Making,” IIE Trans., 39(12), pp. 1085–1102. [CrossRef]
Elwany, A. H. , and Gebraeel, N. , 2008, “ Sensor-Driven Prognostic Models for Equipment Replacement and Spare Parts Inventory,” IIE Trans., 40(7), pp. 629–639. [CrossRef]
Li, L. , You, M. , and Ni, J. , 2009, “ Reliability-Based Dynamic Maintenance Threshold for Failure Prevention of Continuously Monitored Degrading Systems,” ASME J. Manuf. Sci. Eng., 131(3), p. 031010. [CrossRef]
Jin, X. , and Ni, J. , 2013, “ Joint Production and Preventive Maintenance Strategy for Manufacturing Systems With Stochastic Demand,” ASME J. Manuf. Sci. Eng., 135(3), p. 031016. [CrossRef]
Lee, S. , Li, L. , and Ni, J. , 2013, “ Markov-Based Maintenance Planning Considering Repair Time and Periodic Inspection,” ASME J. Manuf. Sci. Eng., 135(3), p. 031013. [CrossRef]
Tao, X. , Xia, T. , and Xi, L. , 2016, “ Dynamic Opportunistic Maintenance Scheduling for Series Systems Based on TOC-VLLTW Methodology,” ASME J. Manuf. Sci. Eng., 139(2), p. 021009. [CrossRef]
Pham, H. , and Wang, H. , 1996, “ Imperfect Maintenance,” Eur. J. Oper. Res., 94(3), pp. 425–438. [CrossRef]
Doyen, L. , and Gaudoin, O. , 2004, “ Classes of Imperfect Repair Models Based on Reduction of Failure Intensity or Virtual Age,” Reliab. Eng. Syst. Saf., 84(1), pp. 45–56. [CrossRef]
Xia, T. , Xi, L. , Zhou, X. , and Du, S. , 2012, “ Modeling and Optimizing Maintenance Schedule for Energy Systems Subject to Degradation,” Comput. Ind. Eng., 63(3), pp. 607–614. [CrossRef]
Jaturonnatee, J. , Murthy, D. N. P. , and Boondiskulchok, R. , 2006, “ Optimal Preventive Maintenance of Leased Equipment With Corrective Minimal Repairs,” Eur. J. Oper. Res., 174(1), pp. 201–215. [CrossRef]
Pongpech, J. , and Murthy, D. N. P. , 2006, “ Optimal Periodic Preventive Maintenance Policy for Leased Equipment,” Reliab. Eng. Syst. Saf., 91(7), pp. 772–777. [CrossRef]
Yeh, R. H. , and Chang, W. L. , 2007, “ Optimal Threshold Value of Failure-Rate for Leased Products With Preventive Maintenance Actions,” Math. Comput. Modell., 46(5–6), pp. 730–737. [CrossRef]
Yeh, R. H. , Kao, K. C. , and Chang, W. L. , 2009, “ Optimal Preventive Maintenance Policy for Leased Equipment Using Failure Rate Reduction,” Comput. Ind. Eng., 57(1), pp. 304–309. [CrossRef]
Chang, W. L. , and Lo, H. C. , 2011, “ Joint Determination of Lease Period and Preventive Maintenance Policy for Leased Equipment With Residual Value,” Comput. Ind. Eng., 61(3), pp. 489–496. [CrossRef]
Schutz, J. , and Rezg, N. , 2013, “ Maintenance Strategy for Leased Equipment,” Comput. Ind. Eng., 66(3), pp. 593–600. [CrossRef]
Chang, Q. , Ni, J. , Bandyopadhyay, P. , Biller, S. , and Xiao, G. , 2007, “ Maintenance Opportunity Planning System,” ASME J. Manuf. Sci. Eng., 129(3), pp. 661–668. [CrossRef]
Rachaniotis, N. P. , and Pappis, C. P. , 2008, “ Preventive Maintenance and Upgrade System: Optimizing the Whole Performance System by Components' Replacement or Rearrangement,” Int. J. Prod. Econ., 112(1), pp. 236–244. [CrossRef]
Zhou, X. , Xi, L. , and Lee, J. , 2009, “ Opportunistic Preventive Maintenance Scheduling for a Multi-Unit Series System Based on Dynamic Programming,” Int. J. Prod. Econ., 118(2), pp. 361–366. [CrossRef]
Bedford, T. , Dewan, I. , Meilijson, I. , and Zitrou, A. , 2011, “ The Signal Model: A Model for Competing Risks of Opportunistic Maintenance,” Eur. J. Oper. Res., 214(3), pp. 665–673. [CrossRef]
Zou, J. , Arinez, J. , Chang, Q. , and Lei, Y. , 2016, “ Opportunity Window for Energy Saving and Maintenance in Stochastic Production Systems,” ASME J. Manuf. Sci. Eng., 138(12), p. 121009. [CrossRef]
Xia, T. , Xi, L. , Zhou, X. , and Lee, J. , 2012, “ Dynamic Maintenance Decision-Making for Series-Parallel Manufacturing System Based on MAM-MTW Methodology,” Eur. J. Oper. Res., 221(1), pp. 231–240. [CrossRef]
Gu, X. , Jin, X. , and Ni, J. , 2015, “ Prediction of Passive Maintenance Opportunity Windows on Bottleneck Machines in Complex Manufacturing Systems,” ASME J. Manuf. Sci. Eng., 137(3), p. 031017. [CrossRef]
Ni, J. , Gu, X. , and Jin, X. , 2015, “ Preventive Maintenance Opportunities for Large Production Systems,” CIRP Ann. Manuf. Technol., 64(1), pp. 447–450. [CrossRef]
Xia, T. , Jin, X. , Xi, L. , and Ni, J. , 2015, “ Production-Driven Opportunistic Maintenance for Batch Production Based on MAM-APB Scheduling,” Eur. J. Oper. Res., 240(3), pp. 781–790. [CrossRef]
Bian, L. , and Gebraeel, N. , 2014, “ Stochastic Modeling and Real-Time Prognostics for Multi-Component Systems With Degradation Rate Interactions,” IIE Trans., 46(5), pp. 470–482. [CrossRef]
Tao, X. , Xia, T. , and Xi, L. , 2015, “ Environment Factor-Based Equipment Hazard Rate Prognosis for Maintenance Scheduling,” Proc. Inst. Mech. Eng., Part B (published online).
Fang, X. , Zhou, R. , and Gebraeel, N. , 2015, “ An Adaptive Functional Regression-Based Prognostic Model for Applications With Missing Data,” Reliab. Eng. Syst. Saf., 133, pp. 266–274. [CrossRef]
Yeh, R. H. , Kao, K. C. , and Chang, W. L. , 2011, “ Preventive-Maintenance Policy for Leased Products Under Various Maintenance Costs,” Expert Syst. Appl., 38(4), pp. 3558–3562. [CrossRef]

Figures

Grahic Jump Location
Fig. 1

Illustration of lease-oriented opportunistic maintenance

Grahic Jump Location
Fig. 2

Flowchart of opportunistic maintenance based on LPO

Grahic Jump Location
Fig. 3

PM intervals with different lessor's maintenance effects

Grahic Jump Location
Fig. 4

PM intervals with different lessee's environmental conditions

Grahic Jump Location
Fig. 5

Cumulative leasing profit savings of cyclic group PM sets

Grahic Jump Location
Fig. 6

Total leasing profit saving comparison of three policies

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In