DECISION SUPPORT SYSTEMS IN SELECTION OF THE BEST SUPPLIERS AT RETAIL STORE USING SAW METHOD

Abstract

The development of science and technology in today's modern age is growing so rapidly, the need for a fast, accurate piece of information is needed even more so in the field of commerce. As new productions present a wide range of products, the retail store has more exotic options to provide the product. Each individual characteristic has unique characteristics with its own strengths and weaknesses. It therefore needs to be done a way of determining or choosing effective, efficient continuity. The decision-making system (SPK) is an interactive computer-based system, which helps decision-makers utilize data and models to solve problems that are not structured and semistructured. The simple, equtive method (saw) is one that can be used in solving the problem of multiple attributes of decision making (madm). The simple method of weightriding (saw) is also often known by the term for the weightless count. The basic concept of the saw method is looking for the weightier sum of performance ratings on any alternative to all attributes. (see's method requires the normalizing of a decision matrix (x) to a scale that can be compared with all alternative levels present. According to the saw method of data processing, data deductions based on the category of goods from cigarettes found that supplier A1 in the category of cigarettes was the best with a value of 1.0434, and supplier A4 in the milk category was the best with a value of 0.8575. This would certainly make it easier for a retail store to determine and select the best items for her character  needs.