The barriers to realising sustainable process improvement: A root cause analysis of paradigms for manufacturing systems improvement
Keywords:
Manufacturing improvement, tools and methods, knowledge requirements, generating understandingAbstract
To become world-class, manufacturing organisations employ an array of tools and methods to realise process improvement. However, many of these fail to meet expectations and/or bring about new less-well understood problems. Hence, prior to developing further tools and methods it is first necessary to understand the reasons why such initiatives fail. This paper seeks to elicit the root causes of failed implementations and consider how these may be overcome. The paper begins by reviewing various paradigms for manufacturing systems improvement including design/redesign-, maintenance-, operator-, process-, product- and quality-led initiatives. In addition to examining the knowledge requirements of these approaches, the barriers to realising improvement are examined through consideration and review of literature from the fields of manufacturing, management and information systems. These fields are selected because of the considerable work that deals with process improvement, change management, information systems implementation and production systems. The review reveals the importance of fundamental understanding and highlights the lack of current methods for generating such understanding. To address this issue, the concept of machine-material interaction is introduced and a set of requirements for a supportive methodology to generate the fundamental understanding necessary to realise sustainable process improvement is developed.
References
 [1] Adams, C,W.,Gupta, P and Wilson, C E., 2003, Six Sigma Deployment. Burlington, MA: Butterworth-Heinemann. ISBN 0750675233.
[2] Abdurazik, A and Offutt, J., 2000, Using UML Collaboration Diagrams for Static Checking and Test Generation. Proceedings of the Third International Conference on the Unified Modelling Language, York, UK, 383–395.
[3] Adebanjo, D and Kehoe, D , 2001, An evaluation of factors influencing teamwork and customer satisfaction. Managing Service Quality. 1(11), 49-56.
[4] Ammerman , M, 1998, The Root Cause Analysis Handbook: A Simplified Approach to Identifying, Correcting, and Reporting Workplace Errors Productivity Press, 1998. ISBN 0527763268.
[5] Antony, J., 2000a, Ten key ingredients for making SPC successful in organisations, Measuring Business Excellence, 4(4), 7-10.
[6] Antony, J., 2000b, Improving the manufacturing process and capability using experimental design: a case study. International Journal of Production Research. 38(12), 2607-2618.
[7] Antony, J and Banuelas, B, 2002, Key ingredients for the effective implementation of Six Sigma program Measuring Business Excellence, 6 (4) 20 – 27. ISSN: 1368-3047.
[8] Apte U. M and. Goh, C, 2004,. Applying lean manufacturing principles to informationintensive services, International Journal of Service Technology and Management Fall.
[9] Akao, Y, 1990,. Quality Function Deployment, Productivity Press, Cambridge MA Bengtsson , J, 2001, Manufacturing Flexibility and real options: A review International Journal of Production Economics 74, 213-224
[10] Bessant, J., Caffyn, S and Gallagher, M, 2001, An evolutionary model of continuous improvement behaviour. Technovation, 21, p. 67-77.
[11] Bicheno, J., 2003., The New Lean Toolbox - Towards Fast, Flexible Flow, PICSIE Books, Buckingham.Â
[12] Buckhout, S., Frey, E and Nemel, J, 1999., Making ERP succeed: turning fear into promise.
[13] Strategy and business, Second Quarter 15, 60-72. Bauer, B., Muller, J. P., and Odell, J, 2001., Agent UML: A formalism for specifying multiagent software systems. Int. J. Softw. Eng. Knowl. Eng. 11, 3, 207--230.
[14] Bingi, P., Sharma, M. K and Golda, J. K, 1999., Critical issues affecting an ERP  implementation, Information Systems Management 7–14.
[15] Boothroyd, G., Dewhurst, P and Knight, Q. A., 2001., Product Design for Manufacture and Assembly. CRC Press, ISBN 9780824705848.
[16] Brown, M. G., Hitchcock, D. E., Willard, M. L, 1994., Why TQM Fails and What to Do About It Business One Irwin publishing ISBN-13: 9780786301409.
[17] Brassard, M and Ritter, D, 1994., The memory joggerII: A guide of tools for continuous improvement and effects planning. GOAL/QPC, Methlen, MA, USA Bamber, C., Sharp, J. and Hides, M, 1999., Factors affecting successful implementation of total productive maintenance: UK manufacturing case study. Journal of Quality in Maintenance Engineering 5 3, pp. 162–181.
[18] Carroll, J. Sterman, J and Marcus, A, 1998., Playing the maintenance game: How mental models drive organizational decisions. In Halpen, J and Stern, R (eds), Debating rationality: Nonrational elements of organizational decision making (99-121). Ithaca, NY, Cornell University Press.
[19] Chan, F. T. S., Lau, H. C. W., Ip, R. W. L., Chan, H. K., and Kong, S, 2005., Implementation of total productive maintenance: a case study. International. Journal. Production. Economics., 95(1), 71-94
[20] Chapman and Hyman, 1997., Continuous improvement strategies across selected manufacturing sectors. Benchmarking for Quality Management and Technology. 4(3, 175-188.
[21] Christopher, M and Peck, H , 2003., Marketing Logistics Butterworth-Heinemann, Oxford, UK. ISBN 0750652241
[22] Cohen, L., 1995.,, Quality Function Deployment: How to Make QFD Work for You, Addison- Wesley Publishing Company, Cambridge, MA. Ding, L., Matthews, J., McMahon, C. A. and Mullineux, G., 2009, An information support approach for machine design and build companies, Concurrent Engineering: Research & Applications, 17(2) 382-389.
[23] Davis, J. R and Davis, A. B, 1998, Effective Training Strategies: A Comprehensive Guide to Maximizing Learning in Organizations Berrett-Koehler Publishers San Francisco CA, USA. ISBN 1576 75037X.
[24] Dewhurst, P. and Abbatiello, N., 1996, Design for Service, Design for X: Concurrent Engineering Imperatives, Ed. G.Q Huang, Chapman & Hall, London.
[25] Deleryd, M, 1998, On the gap between theory and practice of process capability studies’, Int. J. Qual. Reliab. Mgmt., 15, 178–191.
[26] Eti, M. C., Ogaji, S. O. T and Probert, S. D, 2006a, Strategic maintenance management in Nigerian industries. Applied Energy. 83, 211-227.
[27] Eti, M. C., Ogaji, S. O. T and Probert, S. D, 2006b, Reducing the cost of preventative maintenance (PM) through adopting a proactive reliability-focused culture. Applied Energy. 83, 1235-1248.Â
[28] European Union Directive. European packaging and packaging waste directive 2004/12/EC of 11 February 2004 amending 94/62/EC11, 2004.
[29] European Union Directive. Machine Safety 98/37/EC of the European Parliament and of the Council, 22 June 1998.
[30] Frey, D.D., Otto K.N. and Wysockij A,, 2000, Evaluating process capability during the design of manufacturing systems Journal of Manufacturing Science and Engineering, 122(3), 513- 519.
[31] Gelderman, C and Semeijn, J., 2006. Managing the global supply base through purchasing portfolio management, Journal of Purchasing and Supply Management 12, 209–217.
[32] Giess M.D and. Culley S.J, 2003, Investigating Manufacturing Data for Use Within Design. Proc 14th International Conference on Engineering Design, Stockholm, Sweden, 18-22 (10 pages on CD).
[33] Govers, C.P.M., 2001, QFD not just a tool but a way of quality management. International Journal of Production Economics 69 (2), 151–159.
[34] Guptara, P, 1994, Lesson of experience- learning from others mistakes. In D Lock (editor), Gower Handbook of Quality Management - second edition, Gover, Brookfield VT, 1994, ISBN: 978-0-566-07451-6
[35] Hammer, M and Champy, J, 1993, Reengineering the Corporation: A Manifesto for Business Revolution, Harper Business
[36] Hansen, R, C, 2005, Overall Equipment Effectiveness (OEE), Industrial Press, ISBN-13 978- 0-8311-3237-8 Hauge, B. S and Johnston, D. C, 2001, Reliability centred maintenance and risk assessment.
[37] Proceedings of the IEEE Reliability and Maintainability symposium. New York, USA. PP 36- 40. ISBN: 0-7803-5848-1
[38] Henderson, K., Evans, J., 2000, Successful implementation of six sigma: benchmarking General Electric Company, Benchmarking and International Journal, . 7 (4), 260-81.Â
[39] Hicks BJ, Bowler C, Medland AJ, Mullineux G., 2002,. A redesign methodology for analysing and improving the performance capability of packaging machinery. International Journal of Industrial Engineering. 9 (4). 389-398.
[40] Hicks BJ, Medland AJ, Mullineux G., 2001,. A constraint based approach to the modeling and analysis of packaging machinery. Packaging Technology and Science. 14 (5) 209-225.
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