A multi-attribute selection of automated guided vehicle using the AHP/M-GRA technique

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...

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Bibliographic Details
Published in:International journal of production research 2011-10, Vol.49 (20), p.6107-6124
Main Authors: Maniya, K. D., Bhatt, M. G.
Format: Article
Language:English
Subjects:
AGVS
analytical hierarchy approach
Applied sciences
automated guided vehicle alternative
Automated guided vehicles
Automatic guidance vehicles
Automation
Computer science
control theory
systems
Construction
Control theory. Systems
Decision theory. Utility theory
Exact sciences and technology
Hierarchies
Mathematical analysis
Methodology
modified grey relational analysis
multi-attribute selection
Multiple criteria decision making
Operational research and scientific management
Operational research. Management science
Robotics
Sensitivity analysis
Studies
Utilities
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Summary: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.
ISSN:0020-7543
1366-588X
DOI:10.1080/00207543.2010.518988