Research Papers related to Lean Six Sigma and Operational Excellence
ILSSI is committed to education and research. This section is devoted to communicating research papers related to Lean Six Sigma and Operational Excellence.
Jiju Antony : Professor of Quality Management, Heriot Watt University
ILSSI Director for Research and Education Services is :
Professor Jiju Antony (BE, MSc, PhD, FIOM,FRSS,FCQI,FISSP)
Professor of Quality Management and LSS Master Black Belt.
Professor Antony has published over 200 peer-reviewed journal papers and three text books on Six Sigma and Lean Six Sigma topics alone and is considered to be one of the highest in the world for the number of Six Sigma and Lean Six Sigma publications. His publications have appeared in the International Journal of Production Research, International Journals of Production Economics, European Journal of Operational Research, International Journal of Operations and Production Management, Production Planning and Control, Quality Management Journal (ASQ), Quality and Reliability Engineering International, TQM and Business Excellence, Journal of Operational Research Society to name but a few.
Professor Jiju Antony, Heriot Watt University, Edinburgh, UK
Professor Antony is a Fellow of the Royal Statistical Society (UK), Fellow of the Chartered Quality Institute (CQI), Fellow of the Institute of Operations Management (FIOM), Fellow of the American Society of Quality (FASQ), Fellow of the International Lean Six Sigma Institute (ILSSI). He has recently been elected to the International Academy of Quality.
Enhancing Robust Design with the Aid of TRIZ and Axiomatic Design
Ford Motor Company
Wayne State University
American Supplier Institute
This paper describes how to use the framework of Axiomatic Design to identify a proper system output response and bridge the gap between the conceptual design and the parameter design to facilitate the upfront robustness thinking. It could be, for instance, be a design review process to investigate how a design concept may be optimized to desensitize the side effects of noise factors. It is shown that using bottom-up approach based on axiomatic design bridges the gap between conceptual design and parameter design. By applying these methods the engineer gains deeper insight of design concept structure and the physical effects of the corresponding design parameters.
Keywords: Axiomatic Design; Robust Design; Basic Function; Ideal Function; S-Field Analysis; Mode of Action.
Six Sigma to distinguish patterns
in COVID-19 approaches
School of Business and Economics, Vrije Universiteit Amsterdam,
Amsterdam, The Netherlands
Quality Management, Heriot Watt University, Edinburgh, UK and
Edinburgh Business School, Heriot Watt University, Edinburgh, UK, and
Liverpool Business School, LJMU, Liverpool, UK
Purpose – COVID-19 has changed life as we know. Data are scarce and necessary for making decisions on
fighting COVID-19. The purpose of this paper is to apply Six Sigma techniques on the current COVID-19
pandemic to distinguish between special cause and common cause variation. In the DMAIC structure, different
approaches applied in three countries are compared.
Design/methodology/approach – For three countries the mortality is compared to the population to
distinguish between special cause variation and common cause variation. This variation and the patterns in it
are assessed to the countries’ different approaches to COVID-19.
Findings – In the DMAIC problem-solving approach, patterns in the data are distinguished. The special cause
variation is assessed to the special causes and approaches. The moment on which measures were taken has
been essential, as well as policies on testing and distancing.
Research limitations/implications – Cross-national data comparisons are a challenge as countries have
different moments on which they register data on their population. Furthermore, different intervals are taken,
varying from registering weekly to registering yearly. For the research, three countries with similar data
registration and different approaches in fighting COVID-19 were taken.
Originality/value – This is the first study with Master Black Belts from different countries on the application
of Six Sigma techniques and the DMAIC from the viewpoint of special cause variation on COVID-19.
Keywords COVID-19, Corona, Six sigma, DMAIC, Attribute charts, Pandemic
Paper type Research paper
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