Does analysis matter in Six Sigma?: a case study

It is a conceptual paper that takes at in-depth look at the origins, pros and cons of Six Sigma and describes how it relates to some of the other quality initiatives in industry. DMAIC strategy of Six Sigma is briefly explained and realised the significance of analysis phase, specifically. Various prospects have been formulated to understand the reason of failure of Six Sigma particularly in SMEs and it has been found that doing 'wrong analysis' is one of the major reasons in them. It highlights the analysis phase and proposed a more applicable form for classification of analytical tools as far as their industrial applications are concerned. A road map for short listing the relevant analytical tool has been carpeted especially for students, people working in industry and professional statisticians. A case study in a medium scale non-ferrous foundry has been conducted which has validated the suggested approach successfully. It is based on utilising an integrated advantage of both quantitative and qualitative tools extensively for producing significant results quickly in real industrial environments.

[1]  J. de Mast,et al.  Quality improvement from the viewpoint of statistical method , 2003 .

[2]  Forrest W. Breyfogle,et al.  Implementing Six Sigma: Smarter Solutions Using Statistical Methods , 1999 .

[3]  William E. Cole,et al.  The Economics of Total Quality Management: Clashing Paradigms in the Global Market , 1995 .

[4]  Jeroen de Mast,et al.  Grounding of Six Sigma s Breakthrough Cookbook: How to research a methodology? , 2005 .

[5]  Clyde M. Creveling,et al.  Design for Six Sigma in Technology and Product Development , 2002 .

[6]  P. Hines,et al.  Learning to evolve: A review of contemporary lean thinking , 2004 .

[7]  George Eckes,et al.  The Six Sigma Revolution: How General Electric and Others Turned Process Into Profits , 2000 .

[8]  Dinesh Khanduja,et al.  DMAICT: A ROAD MAP TO QUICK CHANGEOVERS , 2010 .

[9]  Nicholas I. Fisher,et al.  Using Statistics and Statistical Thinking to Improve Organisational Performance , 1999 .

[10]  S. R. Devadasan,et al.  Conceptualisation of Total Six Sigma Function Deployment through literature snapshots , 2008 .

[11]  Ron S. Kenett,et al.  Statistical Efficiency: The Practical Perspective , 2003 .

[12]  Costas Tsatsoulis,et al.  Identifying buyers with similar seller rating models and using their opinions to choose sellers in electronic markets , 2010, Int. J. Inf. Decis. Sci..

[13]  Satya S. Chakravorty,et al.  How problem-solving really works , 2008, Int. J. Data Anal. Tech. Strateg..

[14]  Gerald J. Hahn,et al.  THE EVOLUTION OF SIX SIGMA , 2000 .

[15]  Donato Malerba,et al.  A relational perspective on spatial data mining , 2008, Int. J. Data Min. Model. Manag..

[16]  Tugrul U. Daim,et al.  Users and information technology: analysis of task information fit model , 2010, Int. J. Inf. Decis. Sci..

[17]  Eyke Hüllermeier,et al.  Is an ordinal class structure useful in classifier learning? , 2008, Int. J. Data Min. Model. Manag..

[18]  Kai Yang,et al.  Design for Six Sigma , 2005 .

[19]  Anthony R Benedetto,et al.  Adapting manufacturing-based Six Sigma methodology to the service environment of a radiology film library. , 2003, Journal of healthcare management / American College of Healthcare Executives.

[20]  Jiju Antony,et al.  Critical success factors for the successful implementation of six sigma projects in organisations , 2002 .

[21]  A. M. Rawani,et al.  Quality function deployment: a comprehensive literature review , 2008, Int. J. Data Anal. Tech. Strateg..

[22]  K. Prahlada Rao,et al.  The development of a simulation-based approach to optimise the inventory policy in a single-echelon supply chain: a case study , 2008, Int. J. Data Anal. Tech. Strateg..

[23]  Hansheng Wang,et al.  A composite logistic regression approach for ordinal panel data regression , 2008, Int. J. Data Anal. Tech. Strateg..

[24]  Tirthankar Dasgupta,et al.  Using the six-sigma metric to measure and improve the performance of a supply chain , 2003 .

[25]  Roland Caulcutt Black Belt Types , 2004 .

[26]  Jiju Antony,et al.  Key ingredients for the effective implementation of Six Sigma program , 2002 .

[27]  Mick J. Ridley,et al.  Data modelling for effective data warehouse architecture and design , 2009, Int. J. Inf. Decis. Sci..

[28]  Roger G. Schroeder,et al.  Six sigma: A goal-theoretic perspective , 2003 .

[29]  J. Nevan Wright,et al.  Quality Beyond Six Sigma , 2002 .

[30]  S. Christian Albright,et al.  Data Analysis and Decision Making with Microsoft Excel , 1999 .

[31]  Rashmi Malhotra,et al.  Analysing financial services industry using data envelopment analysis , 2009 .

[32]  James R. Evans,et al.  Managing for Quality and Performance Excellence , 2007 .