Monitoring and controlling design process using control charts and process sigma

Purpose – The purpose of this paper is to establish a means to control the design process in engineering organization that produce engineering deliverables for construction projects. The intended control is to deliver construction packages on time and within budget while controlling productivity of engineers and support staff involved in the design process.Design/methodology/approach – Control charts have been used to monitor design progress and for auditing business processes, process adjustments and to alert for action to rectify a schedule risk. Management has benefited from control charts to fine‐tune operations ranging from bid proposal processing to final design delivery stages and to identify and prevent employee time waste in addition to tracking and forecasting design performance for efficient resource allocation.Findings – These techniques helps in controlling development of engineering deliverables on budget and in detecting areas of low performance early enough for suitable corrective actions....

[1]  Alan A. Desrochers,et al.  Task planning and project management using Petri nets , 1995, Proceedings. IEEE International Symposium on Assembly and Task Planning.

[2]  Sanjay L. Ahire,et al.  Development and Validation of TQM Implementation Constructs , 1996 .

[3]  Mats Deleryd,et al.  Implementation of statistical process control and process capability studies : requirements or free will? , 1999 .

[4]  Nigel D. C. Lewis Assessing the evidence from the use of SPC in monitoring, predicting & improving software quality , 1999 .

[5]  Mark A. Best,et al.  Statistical Process Control, 5th edn , 2005 .

[6]  Joanne M. Sulek,et al.  Statistical quality control in services , 2004, Int. J. Serv. Technol. Manag..

[7]  Michael Wood Statistical methods for monitoring service processes , 1994 .

[8]  W. Edwards Deming,et al.  Out of the Crisis , 1982 .

[9]  Salah Eldin Adam Hamza,et al.  Benchmarking for best practice management: an approach for an engineering design organisation , 2007 .

[10]  Thong Ngee Goh,et al.  Statistical techniques for quality , 1999 .

[11]  John S. Oakland,et al.  Statistical Process Control , 2018 .

[12]  Maling Ebrahimpour,et al.  Employee involvement in quality improvement: a comparison of American and Japanese manufacturing firms operating in the US , 1992 .

[13]  David Sinclair,et al.  Performance measurement: a critical analysis of the literature with respect to total quality management , 2000 .

[14]  Donald J. Wheeler,et al.  Understanding Statistical Process Control , 1986 .

[15]  Raymond G. Carey,et al.  Improving Healthcare with Control Charts: Basic and Advanced SPC Methods and Case Studies , 2002 .

[16]  Marilyn K. Hart,et al.  Learning by Doing: A Series of Hands-on Projects for SPC , 2004 .

[17]  William H. Press,et al.  Numerical recipes in C. The art of scientific computing , 1987 .

[18]  Sohail S. Chaudhry,et al.  Practical Implementation of Statistical Process Control in a Chemicals Industry , 1989 .

[19]  Edward D. Walker Introducing Project Management Concepts Using a Jewelry Store Robbery , 2004 .

[20]  Sung H. Park,et al.  Six Sigma for quality and productivity promotion , 2003 .

[21]  W. Press,et al.  Numerical Recipes: The Art of Scientific Computing , 1987 .

[22]  Charlie C. Chen,et al.  Discriminative effect of user influence and user responsibility on information system development processes and project management , 2011, Inf. Softw. Technol..

[23]  Mokhtar Abdullah,et al.  Box-chart: Combining x and S charts , 2000 .