Authors: Phillip Marksberry, Cheng-Hao Chang, Yukang Liu
Addresses: College of Engineering, Center for Manufacturing, University of Kentucky, 210B, CRMS Building, Lexington, KY 40506-0108, USA. ' Department of Electrical and Computer Engineering, College of Engineering, University of Kentucky, 624 Kastle Road, Lexington, KY 40502, USA. ' Department of Electrical and Computer Engineering, College of Engineering, University of Kentucky, 700 Woodland Avenue, Apt. G-324, Lexington, KY 40508, USA
Abstract: Quality circles (QCs) originated in Japan and have been adopted by the US companies since 1970s, which is generally recognised to have numerous benefits including increased productivity, raised employee motivation and cost reduction. While many companies try to follow Toyota|s success by formulating similar QCs, many practitioners are not aware of the emphasis of QCs that Toyota focuses on. This work investigates the QCs programme in Toyota to discover why QCs can achieve success in Toyota and the difficulty of implementing them in other companies. This paper utilises a form of data mining technique as latent semantic analysis to analyse Toyota|s achievement in QCs. This work examines the importance of the outcomes for QCs, and one of them is the learning of each individual within the circles rather than the actual results produced from the circles. These new insights will provide an increased understanding of Toyota|s QCs programme.
Keywords: Toyota Production System; quality circles; lean manufacturing; employee involvement; management science; LSA; latent semantic analysis; Japan; USA; United States; increased productivity; employee motivation; cost reduction; data mining; outcomes; individual learning; actual results; quality management.
International Journal of Productivity and Quality Management, 2011 Vol.8 No.2, pp.113 - 133
Published online: 08 Aug 2011 *Full-text access for editors Access for subscribers Purchase this article Comment on this article