Investigation of ERP System using Gray Relational Analysis

Gray Relational Analysis (GRA) is a useful technique for investigating the performance of a system and identifying factors that may affect its performance. Results are obtained showing that Analyzing 5 has obtained the first rank, though Analyzing 2 has obtained the lowest rank. Gray Relational Analysis is also known as Gray System Theory (GRA) and is a technological know-how developed by Julong Deng of the University of Technology at Huazhong. Gray system theory is most extensively used model. It uses specific statistics related to grey to measure the magnitude of the relationship between rows using the best Gray-related analysis, which is widely used to enhance control parameters with multiple responses. The fundamental principle of the GRA machine is "Large-scale gray courting," where the chosen alternative's best-most suitable solution should have the "smallest degree of gray dating" from the negative-choicest answer. The calculation of the function collection curves and the significance of the geometric similarity of those curves can determine the primary and minor elements. Related analysis refers to computational methods that assist in identifying unique relationships between objects. It includes two common kinds of analysis: conceptual and associated analysis. In this conceptual analysis is important to determine the text presence and occurrence of comments, while relevant analysis further improves theoretical analysis by analyzing the associations between them. The alternatives for analysis in this study are Analyzing 1, Analyzing 2, Analyzing 3, Analyzing 4, and Analyzing 5, and the evaluation preference is Risk, Quality, Effectiveness, and Efficiency.