Multi-Objective Optimization Method by Ratio Analysis in Determining Results in Decision Support Systems

Abstract

Decision support system in selecting a product aims to improve the company's performance in the selection of certain products. This system is excellent to apply to companies, especially in companies that produce goods. It is so that consumers will not experience disappointment in the selection of these items. Every company needs a decision support system that can help choose the best product results accurately based on predetermined criteria. It is to avoid fatal errors. Therefore a company is beneficial and makes decision making more comfortable, in the selection of goods. The method used in this study is Multi-Objective Optimization on the Base of Ratio Analysis (MOORA). Selection of product results will be more structured and achieved using the MOORA method. Companies in the selection of goods will be under the desired target and can also minimize errors.

Multi-objective optimization model of cutting parameters for a sustainable multi-pass turning process

“…The Multi-Objective Optimization based on Ratio Analysis (MOORA) approach is a multiobjective optimization technique used to handle different complicated decision-making problems in the manufacturing industries [29]; it relates to multiple conflicting objectives optimized simultaneously by specific constraints. The multi-objective optimization based on ratio analysis (MOORA) approach separates the subjective from an evaluation process by weighting the criteria with a variety of decision-making qualities, it is both flexible and simple to grasp [30]. Therefore, this research develops a multi-objective optimization model in a multi-pass wet-cutting turning process, which is then transformed into a mathematical model.…”