Chin, C S (2009) Process capability and performance improvement. In: Dainty, A R J (ed.) Proceedings of 25th Annual ARCOM Conference, 7-9 September 2009, Nottingham, UK.
Abstract
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.
| Item Type: | Conference Paper (Paper) |
|---|---|
| Uncontrolled Keywords: | information management; process capability; request for information; statistical analysis; time |
| Index terms: | performance improvement, variation, process performance, variability, rework, designer, statistical analysis |
| Subjects: | statistical analysis, contractual condition, performance measurement, data science, operations management, profession |
| Topics: | Project Management, Research Practice, Roles and Professions, Quality Management, Contract Administration |
| Descriptive scope: | 3 PCA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here