Paper Title
A MODIFIED TOPSIS MODEL FOR SERVICE COMPOSITION IN CLOUD MANUFACTURING

Abstract
The purpose of this research paper is to determine the current or future use of Business 4.0 technologies (cloud computing, IoT, etc.) to improve business efficiency. The purpose of this study is to score options using the Modified TOPSIS decision model. CRITIC criteria are used to calculate the weight of the target. Additionally, a detailed data analysis is the first step when comparing study results with TOPSIS. Second, understand the theoretical framework of the standard measurement system. Third, a hybrid CRITIC and Modified TOPSIS model for decision making was developed. Finally, compare the options and decide. The proposed method successfully resolves the ambiguity and ambiguity of data variables while maintaining the accuracy of data measurements. Additionally, the results are more accurate as the target weight is closer to the actual weight than the measured weight. This paper uses the Modified TOPSIS model to evaluate changes based on a set of 22 general criteria for service delivery in the cloud. The results of Modified TOPSIS are A2>A5>A4>A1>A3 where as the conventional TOPSIS are A4>A5>A3>A1>A2. Keywords - Cloud Manufacturing, TOPSIS, CRITIC, Index System of Service Composition,