Probe on network-based collaborative maintenance mode for after-sales equipment

Authors

  • Tianwen Sheng College of Mechanical Engineering, Chongqing University, Chongqing, China + The State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, China
  • Xiaohui Chen College of Mechanical Engineering, Chongqing University, Chongqing, China + The State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, China
  • Shuping Yi College of Mechanical Engineering, Chongqing University, Chongqing, China
  • Xiangbo Gao College of Mechanical Engineering, Chongqing University, Chongqing, China + The State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, China
  • Qiang Ye College of Mechanical Engineering, Chongqing University, Chongqing, China + The State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, China
  • Jay Lee NSF Industry/University Cooperative Research Center for Intelligent Maintenance Systems (IMS), University of Wisconsin, Milwaukee, WI, USA

DOI:

https://doi.org/10.2298/YJOR0902299S

Keywords:

network-based collaborative maintenance mode, after-sales equipment, dynamic maintenance alliance, maintenance project, business process, information economics model

Abstract

As the structure and technologies of modern equipment become more and more complicated and it is hard to improve equipment's after-sales maintenance service under traditional mode, in this text, network-based collaborative maintenance mode for after-sales equipment was proposed. Specifically, under the leading of equipment manufacturer under guaranty or equipment user outside guaranty, manufacturer, user, designers, maintainers, spare parts suppliers and maintenance experts were integrated to establish dynamic alliance to carry out maintenance operations together based on network. In addition, the business process of network-based collaborative maintenance was analyzed and an information economics model of network-based collaborative maintenance was established to demonstrate the effectiveness of this maintenance mode.

References

Awuah, G.B. (2007) A professional services firm's competence development. Industrial Marketing Management, 36(8): 1068

He, S.L., Wang, J.F., Yang, S.Z. (1999) Internet based remote cooperative diagnostics for machine faults. China Mechanical Engineering, 10, (3), 336-338

Iung, B. (2003) From remote maintenance to MAS-based e-maintenance of an industrial processes. Journal of Intelligent Manufacturing, 14 (1) 59-82

Kiya, M. (2001) The advanced power plant integrated maintenance control system. 570-575

Kussel, R., i dr. (2000) Tele-service a customer: Oriented and efficient service. Journal of Materials Processing Technology, 107 363- 371

Lee, J., Kramer, B.M. (1992) Analysis of machine degradation using a neural networks based pattern discrimination model. Manufacturing Systems, 12 (3), 379-387

Lee, J. (1996) Measurement of machine performance degradation using a neural network model. Computers in Industry, 30(3): 193

Lee, J. (1998) Teleservice engineering in manufacturing: Challenges and opportunities. International Journal of Machine Tools and Manufacture, 38(8): 901

Leifer, L., Toye, G., der Loos, M.V. (1996) Tele-service-robot: Integrating the socio-technical framework of human service through the Internet-world-wide-web. Robotics and Autonomous Systems, 18, 117-126

Li, B.W. (2003) New Thoughts and Modes of Equipment Management. Beijing: Machine Press

Nie, L. (2007) Modern enterprise theory. Beijing: Economy Management Press

Zhang, Q.J. (2006) Enterprise informatization and third party service. Manufacture Information Engineering of China, 35 (7) 4-9

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Published

2009-09-01

Issue

Vol. 19 No. 2 (2009)

Section

Research Articles

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