An Integrated MCGDM Approach based Lean Faclitator Selection under Neutrosophic Enviornment

In today’s practical work environment group decision making is essential to choose best alternative from set of alternatives which are characterized by multiple criteria. In manufacturing environment frequent group decision making is common practice which involves conflicting and multiple criteria problems. In present Competitive world manufacturing advantage can be achieved by lean practices. The effective implementation of lean tools in any manufacturing industry requires efficient facilitator. Selection of lean facilitator is a complex multi criteria scenario. The proposed work paves a new integrated approach for user at ease of functioning and generating accurate results. The integrated approach combines AHP most popular method for deriving criteria weights and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) chosen as best recommended method to rank alternatives. The proposed work is carried out under Neutrosophic environment which can express incomplete, indeterminate and inconsistent information. Used predefine Interval Neutrosophic Values (INV) associates with linguistic attributes. The INV basic aggregating operators and score functions are applied in evaluating the AHP weights. Euclidean distances, and developed a MCGDM method based on similarity degree estimates rank of alternatives through TOPSIS. Concern topic reviews are also presented in this paper.