Decision making in equipment selection: an integrated approach with AHP and PROMETHEE

By Metin Dagdeviren. Journal of Intelligent Manufacturing, 2008

398 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Management of Technology and Innovation, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/83162e95d36c4e5fcfd32e3bc07538ef57282033

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Goran Ćirović
2. Dragan Pamucar
3. Peng Wang
4. Zhou-Quan Zhu
5. Yong-Hu Wang

In Management of Technology and Innovation

1. Goran Ćirović
2. Dragan Pamucar
3. Peng Wang
4. Zhou-Quan Zhu
5. Yong-Hu Wang

In Management Science and Operations Research

1. Goran Ćirović
2. Dragan Pamucar
3. I. Diaz‐Rainey
4. Rachel W. Y. Yee
5. Hing Kai Chan
6. Peng Wang
7. Xiaojun Wang
8. Zhou-Quan Zhu

Citations in the corpus

• A two-stage Fuzzy-AHP model for risk assessment of implementing green initiatives in the fashion supply chain (2012, background): “The literature on AHP in various applications is very rich (e.g. Lee and Kozar, 2006; Chan et al., 2006; Chang et al., 2007; Korpela et al., 2007; Ramanathan, 2007; Dağdeviren, 2008; Sharma and Agrawal, 2009; Chan and Chan, 2010; Sarminento and Thomas, 2010).”
• The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC) (2015, methodology): “Dağdeviren (2008) used a combination of AHP and PROMETHEE for multi-attribute equipment selection.”
• A novel hybrid MCDM model combining the SAW, TOPSIS and GRA methods based on experimental design (2016, methodology): “The PROMETHEE method for MCDM, Manage.”