One of the most significant positive effects on product and process development in recent years has been the application of data management techniques. Engineering data management or product data management is the most promising one. The implementation of engineering data management is heavily dependent on the engineering process and involves the technologies of management, engineering, and information. However, as there is no commonly acceptable approach and methodologies for implementing engineering data management, it's implementation becomes a bottleneck. This paper presents a structured methodology for the implementation of engineering data management. The approach consists of a series of steps, from business and engineering process analysis, modeling and reengineering, through system design and modeling, to system realization. This research will facilitate engineering process improvement and the planning, design and implementation of engineering data management. Consequently, it will help increase product development capability and quality, reduce development cycle time and cost, and hence increase product marketability.
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Computer Science Applications
- Industrial and Manufacturing Engineering