Modeling and uncertainty analysis of collaborative MRO service chain of complex product

被引：0

作者：

Yang X. ^{[1
,2
]}

Hu Y. ^{[1
]}

机构：

[1] School of Mechanical and Electric Engineering, Wuhan University of Technology, Wuhan

[2] School of Mechanical and Electric Engineering, Zhengzhou University of Light Industry, Zhengzhou

来源：

Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2019年 / 25卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Collaborative maintenance; repair and overhaul/operations service chain; Complex product; Sensitivity analysis method; Service component; Uncertainty;

D O I：

10.13196/j.cims.2019.02.006

中图分类号：

学科分类号：

摘要：

There are a lot of uncertainties in the collaborative Maintenance, Repair and Overhaul/Operations (MRO) service chain of complex product, and the relationships are disorganized and cannot be effectively analyzed and modeled. Based on analyzing the characteristics of complex product's collaborative MRO service chain, the structural model of collaborative MRO service chain was built. Uncertainty modeling and analysis methods of complex product's collaborative MRO service chain were proposed, the sources of uncertainty were analyzed in the view of structure units and service process view of the collaborative MRO service chain of complex product, the concept of dominant uncertainty and recessive uncertainty were defined, and an uncertainty transmission relationship model was constructed. By considering the influence of variation range and the corresponding probability functions of the uncertainty factors, an uncertainty sensitivity analysis method for collaborative MRO service chain of complex product was proposed. Results of the case study showed that the proposed method could support the uncertainty prevention control of complex MRO collaborative service chain. © 2019, Editorial Department of CIMS. All right reserved.

引用

页码：326 / 339

页数：13

共 28 条

[1]

Li H., Ji Y., Qi G., Et al., Integration model of complex equipment MRO based on lifecycle management, Computer Integrated Manufacturing Systems, 16, 10, pp. 2064-2072, (2010)

[2]

Miller L.T., Park C.S., Economic analysis in the maintenance, repair, and overhaul industry: an options approach, The Engineering Economist, 49, 1, pp. 21-41, (2004)

[3]

Ho Y.C., Chang O.C., Wang W.B., An empirical study of key success factors for Six Sigma Green Belt projects at an Asian MRO company, Journal of Air Transport Management, 14, 5, pp. 263-269, (2008)

[4]

Cheng Y., Zhang L., Liu Y., Et al., Solution of MRO support system for large complex equipment, Computer Integrated Manufacturing Systems, 16, 10, pp. 2026-2037, (2010)

[5]

Wang J., Ren G., Zhang L., Et al., Maintenance repair and overhaul/operations support technology, Computer Integrated Manufacturing Systems, 16, 10, pp. 2017-2025, (2010)

[6]

Wang J., Maintenance repair and overhaul/operations support technology based on lifecycle management, Defense Manufacturing Technology, 3, pp. 14-20, (2010)

[7]

Luxh∅j J.T., Riis J.O., Thorsteinsson U., Trends and perspectives in industrial maintenance management, Journal of Manufacturing Systems, 16, 6, pp. 437-453, (1997)

[8]

Uhlmann E., Bilz M., Baumgarten J., MRO-challenge and chance for sustainable enterprises, Procedia CIRP, 11, pp. 239-244, (2013)

[9]

Geng J., Tian X., Bai M., Et al., A design method for three-dimensional maintenance, repair and overhaul job card of complex products, Computers in Industry, 65, 1, pp. 200-209, (2014)

[10]

Marquez A.C., Gupta J.N.D., Contemporary maintenance management: process, framework and supporting pillars, Omega, 34, 3, pp. 313-326, (2006)

← 1 2 3 →