A waste relationship model and center point tracking metric for lean manufacturing systems

Lean manufacturing is about eliminating waste, which requires the creation of waste metrics that are tracked in order to create the conditions for its elimination. In this article, metrics used to monitor the seven traditional non-value adding wastes types of overproduction, defects, transportation, waiting, inventory, motion, and processing are explored and a “center point metric pair” is proposed that can give systematic insight into system waste performance and trade-offs. For example, lower work-in-process levels (inventory waste) may require more replenishment (transportation waste) in order to maintain production. A waste relationship model is proposed that can be used to derive the relationship between different wastes in a Pareto-optimal waste-dependent lean system. The trade-off relationships are statistically verified using simulation experiments across different system configurations, complexities, and planning scenarios.

[1]  C. Canel,et al.  Just-in-time is not just for manufacturing: a service perspective , 2000, Ind. Manag. Data Syst..

[2]  Douglas C. Montgomery,et al.  Student solutions manual : design and analysis of experiments, seventh edition , 2009 .

[3]  Gary Conner,et al.  Lean Manufacturing for the Small Shop , 2001 .

[4]  Nick Rich,et al.  The seven value stream mapping tools , 1997 .

[5]  A. Feldman Welfare economics and social choice theory , 1980 .

[6]  Randall P. Sadowski,et al.  Simulation with Arena , 1998 .

[7]  William Feld,et al.  Lean Manufacturing: Tools, Techniques, and How to Use Them , 2000 .

[8]  Charles J. Petrie,et al.  Using Pareto optimality to coordinate distributed agents , 1995, Artif. Intell. Eng. Des. Anal. Manuf..

[9]  Subhashish Samaddar,et al.  Waste Elimination: The Common Denominator for Improving Operations , 1993 .

[10]  Computer Staff,et al.  The Machine That Changed the World , 1992 .

[11]  Kuen-Suan Chen,et al.  Decision making in assessing process capability indices , 2001 .

[12]  Ibrahim Rawabdeh,et al.  A model for the assessment of waste in job shop environments , 2005 .

[13]  Tomaso Poggio,et al.  Learning to see , 1996 .

[14]  A. Posner Learning to see. , 1955, Eye, ear, nose & throat monthly.

[15]  尚弘 島影 National Institute of Standards and Technologyにおける超伝導研究及び生活 , 2001 .

[16]  Karl L. Wuensch,et al.  Misanthropy, idealism and attitudes towards animals , 2002 .

[17]  Dean H. Kropp,et al.  The New Manufacturing Challenge: Techniques for Continuous ImprovementThe New Manufacturing Challenge: Techniques for Continuous Improvement, by SuzakiKiyoshi. New York: Free Press, 1987, 270 pp., $24.95, cloth. , 1988 .

[18]  洲崎 清,et al.  The new manufacturing challenge : techniques for continuous improvement , 1987 .

[19]  Göran Svensson,et al.  Just‐in‐time: the reincarnation of past theory and practice , 2001 .

[20]  Hamid Seifoddini,et al.  Efficacy of Lean Metrics in Evaluating the Performance of Manufacturing Systems , 2008 .