A multi-attribute selection of automated guided vehicle using the AHP/M-GRA technique
International Journal of Production ResearchPublished 20 January 2011
Kalpesh D. Maniya, M.G. Bhatt
Citations49
SJR quartileQ1
SJR score2.24
SNIP2.56
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Abstract
Abstract The objective of this research is to develop and implement a new methodology for multi-attribute selection of automated guided vehicle (AGV) for the material handling. The present paper proposes a modified grey relational analysis (M-GRA) method combined with analytical hierarchy approach (AHP). AHP method is used to assign the relative importance between AGV selection attributes and M-GRA method is applied to determine AGV selection utility index. A proposed AHP/M-GRA technique is more suitable for the decision-making in the presence of vagueness. The methodology is illustrated by means of an example. The study was followed by the validation and the sensitivity analysis of the AHP/M-GRA technique. The results of the study build confidence in suitability of AHP/M-GRA technique for selection of AGV alternatives. Keywords: automated guided vehicle alternativemulti-attribute selectionanalytical hierarchy approachmodified grey relational analysissensitivity analysis
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