PMID- 27070543 OWN - NLM STAT- MEDLINE DCOM- 20160829 LR - 20190219 IS - 1932-6203 (Electronic) IS - 1932-6203 (Linking) VI - 11 IP - 4 DP - 2016 TI - An Integrated MCDM Model for Conveyor Equipment Evaluation and Selection in an FMC Based on a Fuzzy AHP and Fuzzy ARAS in the Presence of Vagueness. PG - e0153222 LID - 10.1371/journal.pone.0153222 [doi] LID - e0153222 AB - The conveyor system plays a vital role in improving the performance of flexible manufacturing cells (FMCs). The conveyor selection problem involves the evaluation of a set of potential alternatives based on qualitative and quantitative criteria. This paper presents an integrated multi-criteria decision making (MCDM) model of a fuzzy AHP (analytic hierarchy process) and fuzzy ARAS (additive ratio assessment) for conveyor evaluation and selection. In this model, linguistic terms represented as triangular fuzzy numbers are used to quantify experts' uncertain assessments of alternatives with respect to the criteria. The fuzzy set is then integrated into the AHP to determine the weights of the criteria. Finally, a fuzzy ARAS is used to calculate the weights of the alternatives. To demonstrate the effectiveness of the proposed model, a case study is performed of a practical example, and the results obtained demonstrate practical potential for the implementation of FMCs. FAU - Nguyen, Huu-Tho AU - Nguyen HT AD - Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia. FAU - Dawal, Siti Zawiah Md AU - Dawal SZ AD - Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia. FAU - Nukman, Yusoff AU - Nukman Y AD - Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia. FAU - Rifai, Achmad P AU - Rifai AP AD - Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia. FAU - Aoyama, Hideki AU - Aoyama H AD - School of Integrated Design Engineering, Keio University, Tokyo, Japan. LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't PT - Review DEP - 20160412 PL - United States TA - PLoS One JT - PloS one JID - 101285081 SB - IM MH - Decision Making MH - *Decision Support Techniques MH - Engineering MH - Equipment Design MH - *Fuzzy Logic MH - *Manufacturing Industry PMC - PMC4829176 COIS- Competing Interests: The authors have declared that no competing interests exist. EDAT- 2016/04/14 06:00 MHDA- 2016/08/30 06:00 PMCR- 2016/04/12 CRDT- 2016/04/13 06:00 PHST- 2015/11/19 00:00 [received] PHST- 2016/03/27 00:00 [accepted] PHST- 2016/04/13 06:00 [entrez] PHST- 2016/04/14 06:00 [pubmed] PHST- 2016/08/30 06:00 [medline] PHST- 2016/04/12 00:00 [pmc-release] AID - PONE-D-15-48161 [pii] AID - 10.1371/journal.pone.0153222 [doi] PST - epublish SO - PLoS One. 2016 Apr 12;11(4):e0153222. doi: 10.1371/journal.pone.0153222. eCollection 2016.