Special Section Articles

A Cloud-Based Framework for Lean Maintenance, Repair, and Overhaul of Complex Equipment

[+] Author and Article Information
Zhinan Zhang

School of Mechanical Engineering,
Shanghai Jiao Tong University,
800 Dongchuan Road,
Shanghai 200240, China
e-mail: zhinanz@sjtu.edu.cn

Gang Liu

Shanghai Baosteel Industry
Technological Service Co., Ltd.,
890 Yueluo Road,
Shanghai 201900, China
e-mail: asptree@163.com

Zhichao Jiang

Shanghai Oriental Information
Technology Co., Ltd.,
Haoran Building,
Room 1303-1313,
1954 Huashan Road,
Shanghai 200030, China
e-mail: jiangzhichao@orientech.cc

Yong Chen

School of Mechanical Engineering,
Shanghai Jiao Tong University,
800 Dongchuan Road,
Shanghai 200240, China
e-mail: mechenyong@sjtu.edu.cn

1Corresponding author.

Contributed by the Manufacturing Engineering Division of ASME for publication in the JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING. Manuscript received November 15, 2014; final manuscript received May 4, 2015; published online July 8, 2015. Assoc. Editor: Lihui Wang.

J. Manuf. Sci. Eng 137(4), 040908 (Aug 01, 2015) (11 pages) Paper No: MANU-14-1596; doi: 10.1115/1.4030619 History: Received November 15, 2014; Revised May 04, 2015; Online July 08, 2015

Large, complex, expensive, and long-lived equipment often operate in harsh environments, which leads to the requirements of lifecycle maintenance, repair, and overhaul (MRO). To support the continuous improvement of productivity and to reduce the cost of MRO, this paper developed a cloud-based framework for lean MRO of the equipment with the aforementioned characteristics. A concept and a model of lean MRO are proposed. Taking advantage of cloud-based design and manufacturing (CBDM) into account, an architectural framework of cloud-based MRO is proposed. A case of a lean MRO for continuous casting equipment demonstrates that the proposed cloud-based framework can achieve the goal of lean MRO of complex equipment.

Copyright © 2015 by ASME
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Fig. 1

A lean MRO model for complex equipment

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Fig. 2

An illustration of distributed MRO resource clustered in a cloud context

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Fig. 3

An illustration of the architecture of a cloud-based system

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Fig. 4

Aims of the public service layer

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Fig. 5

Primary function of the public service layer

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Fig. 6

Primary aims of the equipment management layer

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Fig. 7

Primary function of the equipment technical service management system

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Fig. 8

Primary aim of the maintenance execution layer

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Fig. 10

Primary actor–network of this case

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Fig. 11

Overall description of the solution to this case

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Fig. 12

An illustration of some implementation case (a) 3D model base management for the mold copper, (b) bearing state analysis to predict MRO, and (c) spare parts lifecycle state management

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Fig. 13

An illustration of some implementation of the public MRO service cloud system (a) cloud-based spare parts gather, (b) cloud-based service control, and (c) cloud-based service knowledge sharing



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