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Chin, C-S (2009) Process capability and performance improvement. In: Dainty, A R J (Ed.), Proceedings 25th Annual ARCOM Conference, 7-9 September 2009, Nottingham, UK. Association of Researchers in Construction Management, Vol. 1, 545–53.
- Type: Conference Proceedings
- Keywords: information management; process capability; request for information; statistical analysis; time
- ISBN/ISSN: 978-0-9552390-1-4
- URL: http://www.arcom.ac.uk/-docs/proceedings/ar2009-0545-0553_Chin.pdf
A process with a wide number of variations cannot be fully capable of meeting a customer s requirements. Less variation provides greater predictability in the process and allows service providers to make reliable forecasts, meet schedules for customers requests, and produce less waste and rework. One statistical tool that can help to determine how the process performs relative to its requirements is the Process Capability Analysis (PCA). The PCA measures the inherent variability of a given characteristic and compares the actual variation in the process to its allowed variation limits (a customer's requirements). The current empirical research includes details about the PCA s underlying concepts and procedure in a Request For Information (RFI) process. The research reveals that merely increasing a customer's requirements without reducing a process s possible variations is not a substantial solution to problems with process performance. The results, which provide a baseline of current operations and a benchmark for use when designing new processes, will help process designers evaluate and predict the performance of those processes.