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Statistical Methods - Still Ignored?: The Testimony of Swedish Alumni
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.ORCID iD: 0000-0003-3911-8009
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.ORCID iD: 0000-0003-1473-3670
2018 (English)In: Total Quality Management and Business Excellence, ISSN 1478-3363, E-ISSN 1478-3371Article in journal (Refereed) Epub ahead of print
Abstract [en]

Researchers have promoted statistical improvement methods as essential for product and process improvement for decades. However, studies show that their use has been moderate at best. This study aims to assess the use of statistical process control (SPC), process capability analysis, and design of experiments (DoE) over time. The study also highlights important barriers for the wider use of these methods in Sweden as a follow-up study of a similar Swedish study performed in 2005 and of two Basque-based studies performed in 2009 and 2010. While the survey includes open-ended questions, the results are mainly descriptive and confirm results of previous studies. This study shows that the use of the methods has become more frequent compared to the 2005 study. Larger organisations (>250 employees) use the methods more frequently than smaller organisations, and the methods are more widely utilised in the industry than in the service sector. SPC is the most commonly used of the three methods while DoE is least used. Finally, the greatest barriers to increasing the use of statistical methods were: insufficient resources regarding time and money, low commitment of middle and senior managers, inadequate statistical knowledge, and lack of methods to guide the user through experimentations.

Place, publisher, year, edition, pages
Taylor & Francis, 2018.
Keywords [en]
statistical process control, capability analysis, design of experiments, implementation barriers, statistical thinking, longitudinal study, Swedish organizations.
National Category
Reliability and Maintenance
Research subject
Quality Technology and Management
Identifiers
URN: urn:nbn:se:ltu:diva-67189DOI: 10.1080/14783363.2018.1426449OAI: oai:DiVA.org:ltu-67189DiVA, id: diva2:1171800
Funder
Swedish Research Council, 340-2013-5108Available from: 2018-01-08 Created: 2018-01-08 Last updated: 2018-03-26

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Lundkvist, PederBergquist, BjarneVanhatalo, Erik
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  • apa
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Output format
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