Table 1 Evaluation of the placement...

Table 1

Evaluation of the placement within the maintenance development phases of the maintenance clustering methods proposed in literature

References	Method short description	Identify “what”	Plan “how”	Schedule “when”
Liang and Parlikad (2020)	Clustering CM with possible upcoming maintenance based on predictive data	X
Wakiru et al. (2018)	Clustering equipment with shared characteristics and using this data when planning the maintenance		X
Sheu and Jhang (1997)	Equipment is replaced during major failures in the first phase and left idle in the second phase until a predefined time T when all are replaced at once			X
Dekker et al. (1997a)	Clustering of equipment in parallel: failed equipment is left idle until the other equipment also need maintenance and are then replaced			X
Assaf and Shanthikumar (1987)	Leaving equipment failed until a certain number of parts have failed. Then, repair is done all at once			X
Sculli and Wu (1981)	When one component fails, the whole system is replaced			X
Barron (2018)	Replacement is performed every T units of time			X
Barron (2018)	After a given number of component failures, maintenance is carried out			X
Barron (2018)	Inspection is performed at given intervals unless a time T has been reached; then, everything is replaced			X
De Jonge et al. (2016)	Applying condition-based clustering on an asset level			X
Cui and Li (2006)	Multi-component shock model for opportunistic maintenance			X
Dekker and Smeitink (1991)	Opportunistic block replacement			X
Poppe et al. (2018)	Opportunistic condition-based maintenance			X
Zhang et al. (2017)	Opportunistic wind turbine maintenance			X
Hu and Zhang (2014)	Risk-based opportunistic maintenance			X
Wildeman et al. (1997)	Rolling horizon grouping method based on the PM plan			X
Vu et al. (2018)	Optimizing maintenance cycles on an individual equipment level, then grouping			X
Wu et al. (2020)	Determine individual threshold replacement age. Correctively replace individually prior to threshold, preventively replace in a group after threshold			X
Van et al. (2013)	Individual equipment maintenance optimization and tentative planning followed by grouping optimization			X
Nzukam et al. (2017)	Dynamic grouping in scheduling based on predictive information, component criticality, and stoppage characteristics			X
Peng and Ouyang (2014)	Clustering maintenance jobs in railroad maintenance			X
Seif et al. (2020)	Clustering periodic preventive maintenance in campaigns based on shutdown requirements			X
Van Dijkhuizen and Van Harten (1997)	Clustering to improve shared setups for periodic preventive maintenance			X
Abdelhadi et al. (2015)	Applying group technology principles to improve maintenance costs			X
Total number of methods		1	1	22

References	Method short description	Identify “what”	Plan “how”	Schedule “when”
Liang and Parlikad (2020)	Clustering CM with possible upcoming maintenance based on predictive data	X
Wakiru et al. (2018)	Clustering equipment with shared characteristics and using this data when planning the maintenance		X
Sheu and Jhang (1997)	Equipment is replaced during major failures in the first phase and left idle in the second phase until a predefined time T when all are replaced at once			X
Dekker et al. (1997a)	Clustering of equipment in parallel: failed equipment is left idle until the other equipment also need maintenance and are then replaced			X
Assaf and Shanthikumar (1987)	Leaving equipment failed until a certain number of parts have failed. Then, repair is done all at once			X
Sculli and Wu (1981)	When one component fails, the whole system is replaced			X
Barron (2018)	Replacement is performed every T units of time			X
Barron (2018)	After a given number of component failures, maintenance is carried out			X
Barron (2018)	Inspection is performed at given intervals unless a time T has been reached; then, everything is replaced			X
De Jonge et al. (2016)	Applying condition-based clustering on an asset level			X
Cui and Li (2006)	Multi-component shock model for opportunistic maintenance			X
Dekker and Smeitink (1991)	Opportunistic block replacement			X
Poppe et al. (2018)	Opportunistic condition-based maintenance			X
Zhang et al. (2017)	Opportunistic wind turbine maintenance			X
Hu and Zhang (2014)	Risk-based opportunistic maintenance			X
Wildeman et al. (1997)	Rolling horizon grouping method based on the PM plan			X
Vu et al. (2018)	Optimizing maintenance cycles on an individual equipment level, then grouping			X
Wu et al. (2020)	Determine individual threshold replacement age. Correctively replace individually prior to threshold, preventively replace in a group after threshold			X
Van et al. (2013)	Individual equipment maintenance optimization and tentative planning followed by grouping optimization			X
Nzukam et al. (2017)	Dynamic grouping in scheduling based on predictive information, component criticality, and stoppage characteristics			X
Peng and Ouyang (2014)	Clustering maintenance jobs in railroad maintenance			X
Seif et al. (2020)	Clustering periodic preventive maintenance in campaigns based on shutdown requirements			X
Van Dijkhuizen and Van Harten (1997)	Clustering to improve shared setups for periodic preventive maintenance			X
Abdelhadi et al. (2015)	Applying group technology principles to improve maintenance costs			X
Total number of methods		1	1	22

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