![]() ![]() Recently, to acquire the competitive advantages in order to survive in the global business scenario, the selection of the most appropriate machine has become a remarkable concern for many manufacturing companies. A demonstration of the application of these methodologies in a real life problem is presented. In the second step, eligible alternatives are ranked by using TOPSIS. In the first step, the criteria of the existing problem are inspected and identified and then the weights of the sector and sub-sector are determined that have come to light by using AHP. The anticipated methods in this research consist of two steps at its core. This framework will act as a guide for decision makers to select the suitable machine via an integrated approach of AHP & TOPSIS. A decision support system has been developed in this research in machine evaluation process. Machine selection has become challenging as the number of alternatives and conflicting criteria increase. In order to endure in the global business scenario, companies must find out the proper way that leads to the successful production environment. Selection of the most suitable machine is very crucial in the modern economy to prompt production level as well as revenue generation.
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