5. Conclusions
Being one of the most crucial decision making events for organization, supplier selection plays an important role to acquire competitive benefits. To accomplish this goal, the management should apply a successful model and select appropriate criteria for selection of supplier. Linguistic variables play a significant role in decision making process as these determine the performance values which cannot be exhibited into the numerical values. Consequently, with the help of fuzzy set theory DMs’ preferences and experiences are converted into fruitful results by applying linguistic terms to evaluate each criterion with respect to every multiplier. Generally, selection of supplier and evaluation are uncertain and vague. Firstly, it provides the information about various challenges that the firm face while choosing the best supplier in a manufacturing unit for producing the good quality products. Secondly, it identifies the area required for implementation of performances and gives the better understanding for the selection of supplier that comes under the fuzzy conditions. In last step, sensitivity analysis has been performed to investigate the effect of criteria weights on selection of supplier. By relating the closeness coefficient results of the four alternatives as shown in Table 7, it is concluded that S3 is the most preferred supplier and S2 is the least preferred supplier. Furthermore, this proposed model can be used in various MCDM problems such as location selection, project organization, promotion activities and new products development when accessible data are inexact, inaccurate, uncertain and rough by nature.
