Integrating statistical process control and enterprise resource planning systems in a computer integrated manufacturing environment

• Main Author: Sim, Norman Boon Heng.
• Other Authors: Spedding, Trevor Allan
• Format: Theses and Dissertations
• Language: English
• Published: 2008
• Subjects: DRNTU::Engineering::Manufacturing::Quality control
• Online Access: http://hdl.handle.net/10356/13487
• Institution: Nanyang Technological University

Until today, the term Computer Integrated Manufacturing (CIM) has been so commonly used that it is on the brink of falling into the 'buzzword vocabulary well' of the manufacturing arena is very high. CIM, however, has the potential of materializing the vision of continuous improvement. Statistical Process Control (SPC), a highly sought after Total Quality Control tool in the 1980's, is today part and parcel of manufacturing. Together with the concept of SPC, which has time and again been proven to be a simple but yet an effective method of reducing variation, CIM can facilitate the continuous improvement process. The traditional control charts used in detecting variation in a particular characteristic (and hence, process variation) may not be applicable for process monitoring in a CIM environment. Control charts and the manner in which data is to be collected need to be modified to suit the various aspects of automation in CIM including automated data collection.