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ENBIS industrial visit. Siemens Electric Heating AS Bratsbergvegan 5 N-7493 TRONDHEIM Norway 21/6/2002 Tel No +47 73 95 90 00. Proposed agenda. E: Introduction of the team - 5 mins E: Introduction to ENBIS - 10 mins S: Introduction to Siemens Trondheim - 15 mins
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ENBIS industrial visit Siemens Electric Heating ASBratsbergvegan 5N-7493TRONDHEIMNorway 21/6/2002 Tel No +47 73 95 90 00 Siemens Electric Heating, Trondheim
Proposed agenda E: Introduction of the team - 5 mins E: Introduction to ENBIS - 10 mins S: Introduction to Siemens Trondheim - 15 mins E: SQM survey, Design of Experiments, 6-sigma - 45 mins S: Topics to be covered in visit - 15 mins On Site Visit - 45 mins Discussions on opportunities - 30 mins Conclusion - 15 mins (S - Siemens, E - ENBIS team) Siemens Electric Heating, Trondheim
ENBIS team Jon Tyssedal, tyssedal@math.ntnu.no Professor of Statistics, NTNU Expert in Statistics Maria Fernanda Ramalhoto, framalhoto@math.ist.utl.pt Professor of Statistics,Instituto Superior Tecnico, Lisbon Expert in Reliability and Quality Improvement Ron Kenett, ron@kpa.co.il International Management Consultant, CEO KPA Ltd. Expert in Industrial Statistics and Quality Management Siemens Electric Heating, Trondheim
ENBIS team Jon Tyssedal, tyssedal@math.ntnu.no Professor of Statistics, NTNU Expert in Statistics Maria Fernanda Ramalhoto, framalhoto@math.ist.utl.pt Professor of Statistics,Instituto Superior Tecnico, Lisbon Expert in Reliability and Quality Improvement Ron Kenett, ron@kpa.co.il International Management Consultant, CEO KPA Ltd. Expert in Industrial Statistics and Quality Management Siemens Electric Heating, Trondheim
ENBIS team Jon Tyssedal, tyssedal@math.ntnu.no Professor of Statistics, NTNU Expert in Statistics Maria Fernanda Ramalhoto, framalhoto@math.ist.utl.pt Professor of Statistics,Instituto Superior Tecnico, Lisbon Expert in Reliability and Quality Improvement Ron Kenett, ron@kpa.co.il International Management Consultant, CEO KPA Ltd. Expert in Industrial Statistics and Quality Management Siemens Electric Heating, Trondheim
Ron Kenett (25 yrs of experience, 4 books) Industrial Statistics Multivariate Quality Control Organizational effectiveness Six Sigma SPC Design of Experiments Internet Surveys Software Process Quality Management Dashboards Siemens Electric Heating, Trondheim
Introduction to ENBIS ENBIS European Network for Business and Industrial Statistics www.enbis.org Siemens Electric Heating, Trondheim
ENBIS Mission - Foster and facilitate the application and understanding of statistical methods to the benefit of European business and industry - Provide a forum for the dynamic exchange of ideas and facilitate networking among statistical practitioners - Nurture interactions and professional development of statistical practitioners regionally and internationally. Siemens Electric Heating, Trondheim
ENBIS Vision - To promote the widespread use of sound science driven, applied statistical methods in European business and industry, - That membership consists primarily of statistical practitioners from business and industry, - To emphasize multidisciplinary problem solving involving statistics, - To facilitate the rapid transfer of statistical methods and related technologies to and from business and industry Siemens Electric Heating, Trondheim
ENBIS Vision – continued - To link academic teaching and research in statistics with industrial and business practice, - To facilitate and sponsor continuing professional development, - To keep its membership up to date in the field of statistics and related technologies, - To seek collaborative agreements with related organizations. - ENBIS is a web based society Siemens Electric Heating, Trondheim
Febr. 26-27, 2000, Eindhoven, NL Meeting of the provisional executive committee. The name ENBIS was chosen for the new network. December 11, 2000, Amsterdam, NL More than 80 persons participated in the founding conference. ENBIS History August 21, 1999, Linköping, Sweden During the first International Symposium on Industrial Statistics, some 20 statisticians and practitioners agreed to push forward a European society for industrial statistics. Siemens Electric Heating, Trondheim
ENBIS Organization Administration • General assembly • Council • Executive committee • Permanent office (Amsterdam) Siemens Electric Heating, Trondheim
ENBIS Organization Working groups • Design of experiments • Reliability and safety • Data mining / warehousing • General statistical modelling • Process modelling and control • Quality improvement • Statistical consultancy Local networks • bENBIS (Belgium) • nENBIS (Netherlands) • iENBIS (Israel) Siemens Electric Heating, Trondheim
ENBIS Organization Members • No membership fee (for the time being) • 560 members (May, 2002) Corporate Members • 500 Euros per annum • 7 Corporate members (May, 2002) Siemens Electric Heating, Trondheim
ENBIS Membership benefits • ENBIS offers its members: • Network facilities • Conferences • Courses • Thematic network Pro-ENBIS Siemens Electric Heating, Trondheim
ENBIS Networking facilities • The website www.enbis.org offers: • ENBIS News • General announcements • Event lists • Links to relevant websites • Information on other members • Forum facilities Siemens Electric Heating, Trondheim
www.enbis.org Siemens Electric Heating, Trondheim
ENBIS Conferences December 11, 2000, Amsterdam, NL Founding conference 80 participants September 17-18, 2001, Oslo, Norway First Annual Meeting on Business and Industrial Statistics 101 participants 43 submitted abstracts September 23-24, 2002, Rimini, Italy Second Annual Meeting on Business and Industrial Statistics 105 submitted abstracts Siemens Electric Heating, Trondheim
Pro-ENBIS Pro-ENBIS is a thematic network of organisations contracted for three years with the European Commission. Its mission is “to promote the widespread use of sound science driven, applied statistical methods in European business and industry.” Pro-ENBIS was granted a budget from the EC of about 800 000 Euros. Siemens Electric Heating, Trondheim
Pro-ENBIS Co-ordinator: University of Newcastle upon Tyne (UK). Organisations from all over Europe, not just the EC. Funding to achieve specific disemination outcomes, e.g., organising workshops, seminars, industrial visits and publishing case-study based papers. Siemens Electric Heating, Trondheim
Objectives of Industrial Visits • Disseminate Statistical Best Practices in Europe • Foster new research collboration • “Listen to the customers”: • Learn from industry • indifies needs of industry Siemens Electric Heating, Trondheim
Proposed agenda E: Introduction of the team - 5 mins E: Introduction to ENBIS - 10 mins S: Introduction to Siemens Trondheim - 15 mins E: SQM survey, Design of Experiments, 6-sigma - 45 mins S: Topics to be covered in visit - 15 mins On Site Visit - 45 mins Discussions on opportunities - 30 mins Conclusion - 15 mins (S - Siemens, E - ENBIS team) Siemens Electric Heating, Trondheim
Reliability, Safety and Quality Improvement • Reliability is Quality over Time. • Maintenance is a Reliability Function. • Therefore “Reliability culture” and “Maintenance Culture” clearly should be part of an “Extended Quality Culture”. SQM Survey Siemens Electric Heating, Trondheim
Workshops, Round Tables • Claims from industry SQM Survey Siemens Electric Heating, Trondheim
ESREL’2001 Round Table • Industry: To find consultants is easy. They advertise. To find academics is not easy. The industry and the governmental institutions do not know what academics are doing. SQM Survey Siemens Electric Heating, Trondheim
ESREL’2001 Round Table • Industry: Do not have the time to read academic journals. The papers which shall be relevant are usually published in too many different journals. Even the multinational company is not able to follow what is going on in the academic world. SQM Survey Siemens Electric Heating, Trondheim
ESREL’2001 Round Table • Academics: We model such and the reliability is 99%. • Practitioners: The reliability 99% can be pushed to 99.8% if a certain specific change is made, or if doing such the reliability drops to 98% and the cost will be, for instance, cut to a 1/2. What matters is how to trigger on the design to improve it. SQM Survey Siemens Electric Heating, Trondheim
A Survey on Reliability and Quality Improvement • The following questionnaire distributed in print (7 pages) for discussion and future collaboration. Material of the WP4 first Industrial Visit-Nestle-very briefly mentioned and made available at request. SQM Survey Siemens Electric Heating, Trondheim
Questionnaire on SQM • Company Profile: Size; Individuals directly involved in SQM activities; Industry nature; Benchmarking activities. • 1. Use of Reliability Techniques. • 2. Use of Maintenance Techniques SQM Survey Siemens Electric Heating, Trondheim
Questionnaire (cont.) • 3. Use of Control Charts Techniques. • 4. Use of Acceptance Sampling Plans. • 5. Use of Economic Design Techniques. • 6. Use of Cost-Benefit Analysis. SQM Survey Siemens Electric Heating, Trondheim
Questionnaire (cont.) • 7. Use of Inventory Control/Supply Chain Techniques. • 8. Use of Data Quality Control Techniques. • 9. Use of Periodicals. SQM Survey Siemens Electric Heating, Trondheim
Questionnaire (cont.) • 10. Problems in Practice: • List of most relevant problems reported by industry and business. • List of identified problems to close the gap between industry/business and academia. SQM Survey Siemens Electric Heating, Trondheim
The Quality Ladder Management Approach Statistical Method Designed Experiments and Reliability Quality by Design Process Control & Process Improvement Control Charts Sampling Plans Inspection Basic Statistical Thinking Fire Fighting Siemens Electric Heating, Trondheim
Ron Kenett (KPA Ltd.) “At Motorola we use statistical methods daily throughout all of our disciplines to synthesize an abundance of data to derive concrete actions…. How has the use of statistical methods within Motorola Six Sigma initiative, across disciplines, contributed to our growth? Over the past decade we have reduced in-process defects by over 300 fold, which has resulted in a cumulative manufacturing cost savings of over 11 billion dollars”*. Robert W. Galvin Chairman of the Executive Committee Motorola, Inc. *From the forward to MODERN INDUSTRIAL STATISTICS by Kenett and Zacks, Duxbury, 1998 Siemens Electric Heating, Trondheim
MBB Master Black Belts Statisticians Industrial Engineers BB Black Belts Technical Skills Quality Improvement Facilitators Soft Skills Ron Kenett (KPA Ltd.) Six Sigma project roadmap DEFINE MEASURE ANALYZE IMPROVE CONTROL www.kpa.co.il Siemens Electric Heating, Trondheim
Ron Kenett (KPA Ltd.) Market Research Product Evaluation R&D Engr. Production Purchasing Cust. Support Idea Product Spec. Reqts. Product and Process Design Satisfaction Surveys Industrial Statistics Quality Management Process Improvements www.kpa.co.il Siemens Electric Heating, Trondheim
References "A Test for Detecting Outlying Cells in the Multinomial Distribution and Two-Way Contingency Tables", R. Kenett and C. Fuchs, Journal of the American Statistical Association , 75, pp. 395-398, 1980. "Some Experiences Teaching Factorial Designs in Introductory Statistics Courses", R. Kenett and D. Steinberg), Journal of Applied Statistics, 14, pp. 219-228, 1987. "Two Methods for Comparing Pareto Charts", R. Kenett, Journal of Quality Technology, 23, pp. 27-31, 1991. "Going Beyond Main-Effect Plots", R. Kenett and B. Vogel, Quality Progress, pp. 71-73, February 1991. "Making Sense Out of Two Pareto Charts", R. Kenett, Quality Progress, pp. 71-74, May 1994. Modern Industrial Statistics: Design and Control of Quality and Reliability , R. Kenett and S. Zacks, Duxbury Press, San Francisco, 1998. Siemens Electric Heating, Trondheim
Ron Kenett (KPA Ltd.) My email: ron@kpa.co.il Our website: www.kpa.co.il Siemens Electric Heating, Trondheim
Pro-Enbis Acknowledgement All joint authors - presenters - are members of: Pro-Enbis and ENBIS. This presentation is supported by Pro-Enbis a Thematic Network funded under the ‘Growth’ programme of the European Commission’s 5th Framework research programme - contract number G6RT-CT-2001-05059 Siemens Electric Heating, Trondheim