2019
DOI: 10.1016/j.jmsy.2019.09.005
|View full text |Cite
|
Sign up to set email alerts
|

A service-oriented dynamic multi-level maintenance grouping strategy based on prediction information of multi-component systems

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
15
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 43 publications
(20 citation statements)
references
References 27 publications
1
15
0
Order By: Relevance
“…The data on the frequency with which each topic has been addressed are contained in the following table (Table 5). The research topic that most frequently appears in the papers analysed involves performance (21.51%), which is studied from the perspective of different theories, such as Contingency theory (Ceci & Masini, 2011), Linear programming (Geng, Chu, Xue & Zhang, 2011), Resource dependence theory (Shah, Jajja, Chatha & Farooq, 2020;Chang et al, 2019), Agency theory (Datta, 2020), Game theory (Arabi, Mansour & Shokouhyar, 2018;Gómez & Heredero, 2013;Hezarkhani, 2017;Lee et al, 2016) and Resource-based theory (Fang, Palmatier & Steenkamp, 2008;Yan et al, 2020;Zhang et al, 2019), These results are consistent with those reported by Wang, Lai, and Shou (2018), identifying numerous studies that analyse the impact that servitization has on performance.…”
Section: Discussion Of Resultssupporting
confidence: 75%
See 2 more Smart Citations
“…The data on the frequency with which each topic has been addressed are contained in the following table (Table 5). The research topic that most frequently appears in the papers analysed involves performance (21.51%), which is studied from the perspective of different theories, such as Contingency theory (Ceci & Masini, 2011), Linear programming (Geng, Chu, Xue & Zhang, 2011), Resource dependence theory (Shah, Jajja, Chatha & Farooq, 2020;Chang et al, 2019), Agency theory (Datta, 2020), Game theory (Arabi, Mansour & Shokouhyar, 2018;Gómez & Heredero, 2013;Hezarkhani, 2017;Lee et al, 2016) and Resource-based theory (Fang, Palmatier & Steenkamp, 2008;Yan et al, 2020;Zhang et al, 2019), These results are consistent with those reported by Wang, Lai, and Shou (2018), identifying numerous studies that analyse the impact that servitization has on performance.…”
Section: Discussion Of Resultssupporting
confidence: 75%
“…Strategy has been analysed mainly through Resource dependence theory (Chang et al, 2019;Li et al, 2015); Contingency theory (Pleshko & Heiens, 2011;Pleshko, Heiens & Peev, 2014) and Game theory (Chang et al, 2019;Hsieh & Yeh, 2018;Li, Ji, Chen & Jiao, 2017;Wang, Zheng, Zhao & Tian, 2019;Zhong, 2014). Baines, Lightfoot, Peppard, Johnson, Tiwari, Shehab et al (2009b) for example, have already highlighted the strategic importance of servitizing the manufacturing sector, analysing industrial firms' internal production and support operations to ensure the effective and efficient delivery of products and their closely associated services.…”
Section: Research Topicsmentioning
confidence: 99%
See 1 more Smart Citation
“…Degradation acceleration factor and service age regression factor are used to model imperfect maintenance. Equation (8) shows the failure intensity function change before and after maintenance, and Fig. 4 shows the failure intensity curve.…”
Section: Service Age Regression Factormentioning
confidence: 99%
“…Otherwise, the economic dependence is negative. Owing to the close relationship between the cost of maintenance and economic dependence, the influence of economic dependence has been considered and studied in many aspects of formulating maintenance strategy [6][7], such as determining the time to execute maintenance [8][9], selecting the objective components [10], calculating the inspection interval [11] and so on. Structural dependence means that maintenance of one component requires the disassembly or maintenance of other components [12].…”
Section: Introductionmentioning
confidence: 99%