A hierarchical AHP/DEA methodology for the facilities layout design problem

By Taho Yang, Chunwei Kuo. European Journal of Operational Research, 2003

368 citations recorded by the source corpus.

Subfields: Building and Construction, Industrial and Manufacturing Engineering, Marketing

View Paper: https://www.semanticscholar.org/paper/478498baed62a71ba9e51c3b69b5dc1eba27b20b

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Citations in the corpus

Integrated analytic hierarchy process and its applications - A literature review (2008, methodology): “Saen et al. (2005) proposed the combined AHP-DEA approach to measure the relative efficiency of slightly non-homogeneous decision making units (DMUs).”
Analytic hierarchy process: An overview of applications (2006, neutral): “Planning and Development [144] [49,73,88] [69,77,97, 107,126,154] [19] [87,146,35] [42,142] Banking [10,50]”
A novel hybrid MCDM model combining the SAW, TOPSIS and GRA methods based on experimental design (2016, methodology): “38460 (2011) 1304–1312.461 [24] Y. Kuo, T. Yang, G.W. Huang, The use of grey relational analysis in solving multiple attribute decision-making problems, Comput.”
Facility layout problems: A survey (2007, methodology): “Most authors combine the different objectives into a single one either by means of Analytic Hierarchy Process (AHP) methodology (Harmonosky & Tothero, 1992; Yang & Kuo, 2003) or using a linear combination of the different objectives (Chen & Sha, 2005).”
The state of the art development of AHP (1979–2017): a literature review with a social network analysis (2017, methodology): “The usefulness of this method has been proved in the case of solving practical design problems (Yang and Kuo, 2003) by combining the subjective opinions of decision makers with objective data on the relevant factors in the case of vendor selection (Zhang et al.”
Data envelopment analysis for weight derivation and aggregation in the analytic hierarchy process (2006, methodology): “Some articles have used AHP for handling subjective factors and to generate a set of numerical values, and then used DEA to identify efficiency score based on the entire data, including those generated by the AHP[28,29].”