Author:
Tannock James D.T.,Balogun Oluwatuminu,Hawisa Hisham
Abstract
PurposeThe purpose of this paper is to describe new methods to manage variation in complex manufacturing process chains and to show synergies between the variation risk management (VRM) and six‐sigma approaches.Design/methodology/approachThe research methodology was experimental prototyping conducted in collaboration with industry partners. A prototype IT system was developed and tested to implement the approach. A quality cost‐based system was used to assess variation at each operation stage, for every product characteristic.FindingsA comprehensive approach to the management of manufacturing variation is introduced, based on a new process risk matrix which can be used to specify an individual variation risk for every manufactured characteristic, throughout a manufacturing process chain. The approach has been implemented in a prototype software system and is aimed at the complex products such as those manufactured by the aerospace industry.Research limitations/implicationsThe IT approach described was developed during the research and is not commercially available.Practical implicationsManufacturing industry should be able to use this approach, in particular the process risk matrix concept, to develop more effective management of product variation and resultant cost, in complex process chains.Originality/valueThe paper describes a novel approach to combine VRM and six‐sigma concepts, and introduces the process risk matrix as a structure to understand process variation.
Subject
Industrial and Manufacturing Engineering,Strategy and Management,Computer Science Applications,Control and Systems Engineering,Software
Reference18 articles.
1. Balogun, O., Hawisa, H. and Tannock, J.D.T. (2004), “Product and process knowledge management for manufacturing”, Journal of Manufacturing Technology, Vol. 15 No. 7.
2. Bothe, D.R. (1997), Measuring Process Capability: Techniques and Calculations for Quality and Manufacturing Engineers, McGraw‐Hill, New York, NY.
3. Coronado, R.B. and Antony, J. (2002), “Critical success factors for the successful implementation of six sigma projects in organisations”, The TQM Magazine, Vol. 14 No. 2, pp. 92‐9.
4. Ehie, I. and Sheu, C. (2005), “Integrating six sigma and theory of constraints for continuous improvement: a case study”, Journal of Manufacturing Technology Management, Vol. 16 Nos 5/6, pp. 542‐54.
5. Hendry, L. and Nonthaleerak, P. (2005), “Six sigma: literature review and key future research areas”, Lancaster University Management School Working Paper No. 2005/044, available at: www.lums.lancs.ac.uk/publications (accessed 20 May 2006).
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A holistic approach of quality: a case of UK chocolate manufacturing;International Journal of Quality & Reliability Management;2019-07-23
2. Six Sigma and TQM;An Integrated Company-Wide Management System;2018-08-31
3. Six Sigma methodology: a structured review;International Journal of Lean Six Sigma;2014-10-28
4. Evaluating Six Sigma methodology to improve logistical measures of food distribution SMEs;Journal of Manufacturing Technology Management;2014-08-26
5. Managing product quality risk and visibility in multi-layer supply chain;International Journal of Production Economics;2012-09