An Application of ISM Model for Ranking the Industrial Cleaning Products Using Fuzzy AHP-TOPSIS
In the present competitive world, organizations need to work hard for their growth and sustainability and employ the right strategy to develop and maintain their own survival advantage. Industrial cleaning production companies face with rapidly changing environment including changes in demand and customer needs. In this study, for the first time, the performance measures of industrial cleaning products are first identified. Then, an interpretive structural model (ISM) is used to categorize and classify the measures. Next, an analytical hierarchy process (AHP) is utilized to improve the efficiency of the weighting method used in a fuzzy TOPSIS technique. At the end, the model is employed to rank six detergents. The results show that the measures called “force more winners” and “less dependence” are associated with more weights.
- حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران میشود.
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