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Machine Selection by AHP and TOPSIS Methods

机译:通过AHP和TOPSIS方法进行机器选择

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Selection of the most suitable machine is very crucial in the modern economy to prompt production level as well as revenue generation. In order to endure in the global business scenario, companies must find out the proper way that leads to the successful production environment. Machine selection has become challenging as the number of alternatives and conflicting criteria increase. A decision support system has been developed in this research in machine evaluation process. This framework will act as a guide for decision makers to select the suitable machine via an integrated approach of AHP & TOPSIS. The anticipated methods in this research consist of two steps at its core. 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. In the second step, eligible alternatives are ranked by using TOPSIS. A demonstration of the application of these methodologies in a real life problem is presented.
机译:在现代经济中,选择最合适的机器对于提高生产水平和创收至关重要。为了承受全球业务场景,公司必须找到导致成功生产环境的正确方法。随着替代方案的数量和冲突标准的增加,机器的选择变得充满挑战。在这项研究中,在机器评估过程中开发了决策支持系统。该框架将为决策者通过AHP和TOPSIS的集成方法选择合适的机器提供指导。本研究中预期的方法包括两个核心步骤。第一步,检查并确定存在问题的标准,然后使用AHP确定已经发现的部门和子部门的权重。第二步,使用TOPSIS对合格的替代品进行排名。演示了这些方法在现实生活中的应用。

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