Comparative Analysis of Data Driven Software Tools in Asian Countries: Advancing the Development of Engineering Projects

Abstract

A number of software tools are developed to improve the quality of the products developed in various fields of life, including engineering. The main purpose of the data-driven software tools the engineers design is to develop products on time with the requirements and specifications given by the customers. The most famous data-driven software tools specialized for engineering projects are AutoCAD, CATIA, Primavera, and ZW3D, which are widely considered good and appropriate tools in Asian countries for working on civil, electrical, and mechanical projects. Each software tool has unique characteristics; some of them are useful for civil engineering projects, while others are good for mechanical and electrical engineering projects. The main objective of conducting this research is to determine the best data-driven engineering tool. In this research, quantitative research methodology through survey techniques is employed for data collection. Data was collected from the already-existing users of the above-mentioned engineering tools. The resultant data is statistically analyzed. The results of the current study show that CATIA is better and preferable in terms of all identified features. However, with respect to robustness, Primavera is found to be slightly higher than CATIA. The results of this study aim to assist engineers, especially in Asian countries, in selecting appropriate tools for their data-driven engineering projects and thus be more effective and efficient in the engineering process.