Understanding MCDM Preference Relations Index Method and Its Application

Abstract

Custom table (PSI) method. Priority selection coding was developed by Mania & Butt (2010) to solve MCDM problems. As proposed, it is not necessary to assign comparative importance between attributes. Choosing a desirable machine is an important concern for the manufacturing company. The selection process has some important selection properties and the task of this process is to select the preferred machine from among the multiple candidate machines. The problem of machine selection is a problem that is determined by many characters. This paper solves the problem of machine selection, which generates an optional selection code in a Flexible production cell. A case study is used to demonstrate that the proposed method is effective and feasible. This article explores the use of the MCDM System of Choice (PSI) method to address various decision-making issues commonly encountered during the design phase of a production system life cycle. To demonstrate the feasibility, applicability, and accuracy of the PSI method in solving the decision-making problem at the design stage of the product life cycle, five examples are cited from the literature and compared with the results obtained by past researchers. Research has concluded that the BSI method is logical and highly relevant to material selection issues. The choice of marketing area is an important factor in sales activities. Many factors are required in choosing a marketing area, including rental prices, area, audience, and distance. For a decision to select this marketing area to be effective, the hotel needs a decision support system that can provide the best possible service to guests and deliver the right decision in implementing alternatives, as there are responsibilities and responsibilities of many departments