A framework of fuzzy integrated MADM and GMA for maintenance strategy selection based on agile enabler attributes

Mathematics-in-Industry Case Studies

Table 3 Global scores of alternatives

Sub Criteria/Goal	C.M	P.M	C.B.M	O.M	P.D.M	Global wt
Environment SCR₁	0.011	0.142	0.125	0.254	0.468	0.1063
Personnel SCR₂	0.014	0.187	0.262	0.051	0.487	0.2857
Equipment Safety SCR₃	0.019	0.103	0.141	0.278	0.459	0.1397
Hardware cost SCR₄	0.405	0.434	0.006	0.151	0.004	0.1097
Software cost SCR₅	0.53	0.209	0.175	0.04	0.045	0.0016
Personnel training SCR₆	0.601	0.205	0.013	0.167	0.014	0.0538
Production loss SCR₇	0.323	0.055	0.072	0.227	0.323	0.0862
Spare part inventories SCR₈	0.211	0.005	0.318	0.007	0.459	0.06
Fault identification SCR₉	0.063	0.197	0.155	0.049	0.535	0.0514
Technology SCR₁₀	0.54	0.268	0.044	0.026	0.121	0.0262
Human resource SCR₁₁	0.332	0.286	0.13	0.19	0.063	0.0784
Global score	0.1693513	0.1864936	0.1540744	0.144104	0.3452616