Controlling non-conformities propagation in manufacturing. Case study in an electromechanical assembly plant

The purpose of this paper is to control the propagation of non-conformities. The control methods implemented to ensure the quality performance of a production system present weaknesses, inherent to their constitution, which can let non-conformities propagate along the value stream. This propagation cannot be avoided, but it can be mastered. This paper presents a method to master non-conformities propagation in a production system by building the associated control chart. In order to calibrate the proposition, a case study on non-conformities propagation in a low-volumes industry in the energy field is presented. The simulation of the proposed plan shows the benefits of controlling this indicator.

[1]  Nijs Jan Duijm,et al.  Safety-barrier diagrams as a safety management tool , 2009, Reliab. Eng. Syst. Saf..

[2]  Jay Jina,et al.  Applying lean principles for high product variety and low volumes: some issues and propositions , 1997 .

[3]  Bernard Penz,et al.  A broader view of the economic design of the X-bar chart in the semiconductor industry , 2010 .

[4]  Douglas C. Montgomery,et al.  Economic-statistical design of an adaptive chart , 1997 .

[5]  J. A. Nachlas,et al.  X charts with variable sampling intervals , 1988 .

[6]  Olivier Salvi,et al.  A global view on ARAMIS, a risk assessment methodology for industries in the framework of the SEVESO II directive. , 2006, Journal of hazardous materials.

[7]  Charles S. Tapiero,et al.  Quality control of the M/G/1 queue , 1989 .

[8]  Snorre Sklet,et al.  Safety barriers: Definition, classification, and performance , 2006 .

[9]  Lonnie C. Vance,et al.  The Economic Design of Control Charts: A Unified Approach , 1986 .

[10]  Douglas C. Montgomery,et al.  Introduction to Statistical Quality Control , 1986 .

[11]  M. S. de Magalhães,et al.  A hierarchy of adaptive control charts , 2009 .

[12]  Gilles Dusserre,et al.  Review of 62 risk analysis methodologies of industrial plants , 2002 .

[13]  Richard Gowland,et al.  The accidental risk assessment methodology for industries (ARAMIS)/layer of protection analysis (LOPA) methodology: a step forward towards convergent practices in risk assessment? , 2006, Journal of hazardous materials.

[14]  Erik Hollnagel,et al.  Risk + barriers = safety? , 2008 .

[15]  George Tagaras A Survey of Recent Developments in the Design of Adaptive Control Charts , 1998 .

[16]  Angela E Summers,et al.  Introduction to layers of protection analysis. , 2003, Journal of hazardous materials.

[17]  Cheng-Chang Chang,et al.  Economic design of the VSSI control charts for correlated data , 2007 .

[18]  C. Perrow The Limits of Safety: The Enhancement of a Theory of Accidents , 1994 .

[19]  Yu-Chang Lin,et al.  On the design of variable sample size and sampling intervals X¯ charts under non-normality , 2005 .

[20]  A. Bousetta,et al.  Adaptive sampling methodology for in-line defect inspection , 2005, IEEE/SEMI Conference and Workshop on Advanced Semiconductor Manufacturing 2005..