A Study of Multicriteria Decision Making for Supplier Selection in Automotive Industry

Table 8

Summary of advantages of MCDM models.

Differences	AHP	FAHP	TOPSIS	FTOPSIS	FAHPiFTOPSIS
Evaluators are able to represent the relative importance and interaction of multiple criteria in the supplier selection process [20]	Y
Bias in decision making can be reduced by the flexibility and ability to check on inconsistency and able to decompose and problems into hierarchies of criteria. [21]	Y	Y
Accurate, effective, and systematic decision support tool [22]					Y
Effectively handle both qualitative and quantitative data and easy to implement and understand [23, 24]	Y	Y	Y	Y	Y
No tedious pairwise comparison and weights can be directly assigned by decision makers which makes the practical application of the methodology very straightforward [22, 25]			Y	Y
TOPSIS has been proved to be one of the best methods addressing rank reversal issue, that is, the change in the ranking of the alternatives when a nonoptimal alternative is introduced [22]			Y	Y	Y
Fuzzy AHP is preferable for widely spread hierarchies, where few importance/rating pair-wise comparisons are required at lower level trees [22]		Y
Can adopt linguistic variables [22]		Y		Y	Y
By using fuzzy AHP and fuzzy TOPSIS, uncertainty and vagueness from subjective perception and the experiences of decision maker can be effectively represented and reached to a more effective decision [22]					Y
Ranking results for both methods are similar which shows that when decision makers are consistent in determining the data, two methods independently, and the ranking results will be the same and will handle fuzziness of data involved in decision making effectively [22]		Y		Y

Note: Y means the differences are applicable for the respective MCDM.