S. Praveen Kumar

Optimization of wastewater treatment technology selection using hybrid MCDM

Purpose – This paper aims to describe an application of hybrid Multi Criteria Decision Making (MCDM) technique for the selection of wastewater treatment (WWT) technology for treating wastewater.Design/methodology/approach – The proposed approach is based on Analytical Hierarchy Process (AHP) under fuzzy environment, Preference Ranking Organization METHod for Enrichment Evaluation (PROMETHEE) and hierarchy Grey Relation Analysis (GRA) techniques. Two models are proposed to evaluate the best WWT. The first model, Fuzzy Analytical Hierarchy Process (FAHP) is integrated with Preference Ranking Organization METHod for Enrichment Evaluation (PROMETHEE) technique. The second model, FAHP is integrated with hierarchy Grey Relation Analysis (GRA) technique. The Fuzzy Analytical Hierarchy Process (FAHP) is used to determine the weights of criteria and then ranking of the WWT technology is determined by PROMETHEE and GRA.Findings – An efficient pair‐wise comparison process and ranking of alternatives can be achieved ...

A hybrid MCDM approach to supplier selection

An organisations progress strongly depends on the selection of an appropriate supplier. The selection of suitable supplier is a multi criteria decision making (MCDM) problem, which is based on several qualitative, quantitative and even conflicting criteria. This paper aims to propose a hybrid MCDM technique for the supplier selection problem. The fuzzy analytical hierarchy process (FAHP) is used to analyse the structure of supplier selection problem and to determine the weights of the criteria. The preference ranking organisation method for enrichment evaluation (PROMETHEE) is used to obtain the final ranking of the suppliers. The effectiveness of the proposed FAHP-PROMETHEE method is compared to AHP-PROMETHEE and it is illustrated using a real-time case study from a refrigerator manufacturing industry.