Lean manufacturing in the screw cutting sector: assessment of maturity level

This paper describes a methodology developed to evaluate the level of maturity in companies regarding their understanding of lean manufacturing and application. We present the results of a self-assessment questionnaire that we developed for screw cutting sector companies. A strong application of practices connected to the measurement of performance and to standards was observed. On the other hand, a low level of maturity in practices relating to one-piece flow, problem solving and value stream mapping was demonstrated. We also wondered to what extent the high level of a lean practice reflects the level of maturity of the other practices. We then carried out a factor analysis according to the lean practices of the companies studied. The positive correlations which appear in our results show the existing similarity of all of the lean practices. This result can translate the close link between common lean concepts, as the lean being considered a system and not a simple collection of principles.

[1]  Matthias Holweg,et al.  The genealogy of lean production , 2007 .

[2]  Pär Åhlström Sequences in the implementation of lean production , 1998 .

[3]  John Drew,et al.  Journey to lean : making operational change stick , 2004 .

[4]  Jayant Rajgopal,et al.  Analyzing the benefits of lean manufacturing and value stream mapping via simulation: A process sector case study , 2007 .

[5]  Rachna Shah,et al.  Defining and developing measures of lean production , 2007 .

[6]  Pius Achanga,et al.  Critical success factors for lean implementation within SMEs , 2006 .

[7]  Luis F. Alarcón,et al.  Assessing the Impacts of Implementing Lean Construction , 2008 .

[8]  Douglas A. Luke,et al.  Cluster analysis in community research: Epistemology and practice , 1993 .

[9]  Roger K. Blashfield,et al.  The Methods and Problems of Cluster Analysis , 1988 .

[10]  D Scheibler,et al.  Monte Carlo Tests of the Accuracy of Cluster Analysis Algorithms: A Comparison of Hierarchical and Nonhierarchical Methods. , 1985, Multivariate behavioral research.

[11]  L C Morey,et al.  A Comparison of Cluster Analysis Techniques Withing a Sequential Validation Framework. , 1983, Multivariate behavioral research.

[12]  Todd A. Boyle,et al.  Lean, take two! Reflections from the second attempt at lean implementation , 2009 .

[13]  R. Cagliano,et al.  Lean, Agile and traditional supply: how do they impact manufacturing performance? , 2004 .

[14]  Taiichi Ohno,et al.  Toyota Production System : Beyond Large-Scale Production , 1988 .

[15]  Jeffrey K. Liker,et al.  The Toyota way : 14 management principles from the world's greatest manufacturer , 2004 .

[16]  Ben J. Hicks,et al.  Lean information management: Understanding and eliminating waste , 2007, Int. J. Inf. Manag..

[17]  P. Bruun,et al.  Lean production and the Internet , 2004 .

[18]  Shigeo Shingo A Revolution in Manufacturing: The SMED System , 1985 .

[19]  Mélanie Vachon,et al.  Analyse de classification hirarchique et qualit de vie , 2005 .

[20]  Lluís Cuatrecasas Arbós Design of a rapid response and high efficiency service by lean production principles: Methodology and evaluation of variability of performance , 2002 .

[21]  R. Schroeder,et al.  Relationships between implementation of TQM, JIT, and TPM and manufacturing performance , 2001 .

[22]  Colin Herron,et al.  A methodology for developing sustainable quantifiable productivity improvement in manufacturing companies , 2006 .

[23]  Jeffrey K. Liker,et al.  Becoming lean : inside stories of U.S. manufacturers , 1997 .

[24]  James P. Womack,et al.  Lean Thinking: Banish Waste and Create Wealth in Your Corporation , 1996 .

[25]  J. Antonakis,et al.  Could lean production job design be intrinsically motivating? Contextual, configurational, and levels-of-analysis issues , 2006 .

[26]  P. Landsbergis,et al.  The impact of lean production and related new systems of work organization on worker health. , 1999, Journal of occupational health psychology.