Using cost-based mathematical model and principle 80/20 to improve decision making for risk priority at FMEA

Producing in quality is often hard and time- consuming job, with many risks and problems. One of these risks and problems can be defect (failure) appearance. These problems can be controlled with various tools, techniques, and methods. One of them frequently used in industry is Failure Mode and Effect Analysis wider known as FMEA. FMEA has both many advantages and also many disadvantages. One of these various disadvantages is that cost is not included into decision making during risk prioritization. Cost is one of very important factors during the risk evaluation phase, especially the external cost which can affect customer directly. Therefore, this research is mainly oriented to finding solution for integration of costs into traditional way of risk prioritization. Study is extension of previously conducted study by Banduka et al. (2016) with using of principle 80/20 to define risk prioritization by adding coefficient of product (which failure affects) value into traditional pattern for RPN. In this research, that new pattern for RPN was extended by new coefficient for profitability of corrections and new RPNK was achieved. At last, comparation of previous state with traditional RPN and new RPNK prioritization was presented.

[1]  John G. Reiling,et al.  The cure for medical errors , 2004 .

[2]  Gionata Carmignani,et al.  An integrated structural framework to cost-based FMECA: The priority-cost FMECA , 2009, Reliab. Eng. Syst. Saf..

[3]  Nan Liu,et al.  Risk evaluation approaches in failure mode and effects analysis: A literature review , 2013, Expert Syst. Appl..

[4]  P. L. Goddard Software FMEA techniques , 2000, Annual Reliability and Maintainability Symposium. 2000 Proceedings. International Symposium on Product Quality and Integrity (Cat. No.00CH37055).

[5]  Jean-Yves Dantan,et al.  Conceptual process planning - an improvement approach using QFD, FMEA, and ABC methods , 2010 .

[6]  Francesco Zammori,et al.  ANP/RPN: a multi criteria evaluation of the Risk Priority Number , 2012, Qual. Reliab. Eng. Int..

[7]  Warren Gilchrist,et al.  Modelling Failure Modes and Effects Analysis , 1993 .

[8]  Antonio Scipioni,et al.  FMEA methodology design, implementation and integration with HACCP system in a food company , 2002 .

[9]  P Haapanen,et al.  Failure mode and effects analysis of software-based automation systems , 2002 .

[10]  Aminah Robinson Fayek,et al.  Risk Management in the Construction Industry Using Combined Fuzzy FMEA and Fuzzy AHP , 2010 .

[11]  Seung J. Rhee,et al.  Using cost based FMEA to enhance reliability and serviceability , 2003, Adv. Eng. Informatics.

[12]  Boženko Bilić,et al.  An integrated lean approach to Process Failure Mode and Effect Analysis (PFMEA): A case study from automotive industry , 2016 .

[13]  Steven Kmenta,et al.  Scenario-Based Failure Modes and Effects Analysis Using Expected Cost , 2004 .

[14]  Carl D. Tarum FMERA - Failure Modes, Effects, and (Financial) Risk Analysis , 2001 .

[15]  Zdenek Vintr,et al.  An application of FMEA for warranty cost assesment , 2009, 2009 8th International Conference on Reliability, Maintainability and Safety.

[16]  Giancarlo Maccarini,et al.  A New FMEA Approach Based on Availability and Costs , 2005 .

[17]  Ivan Peronja,et al.  USING 80/20 PRINCIPLE TO IMPROVE DECISION MAKING AT PFMEA , 2017 .

[18]  George Kingsley Zipf,et al.  Human Behaviour and the Principle of Least Effort: an Introduction to Human Ecology , 2012 .

[19]  H. Schneider Failure mode and effect analysis : FMEA from theory to execution , 1996 .

[20]  Jian-Bo Yang,et al.  Development of a fuzzy FMEA based product design system , 2008 .

[21]  Tor Stålhane,et al.  Modification of safety critical systems: an assessment of three approaches , 1998, Microprocess. Microsystems.

[22]  Marcello Braglia,et al.  MAFMA: multi‐attribute failure mode analysis , 2000 .

[23]  Wei‐Jaw Deng,et al.  The Failure Mode and Effects Analysis Implementation for Laser Marking Process Improvement: A Case Study , 2007 .

[24]  David Humphrey,et al.  Assessing the value of a lead-free solder control plan using cost-based FMEA , 2015, Microelectron. Reliab..

[25]  Chensong Dong Failure mode and effects analysis based on fuzzy utility cost estimation , 2007 .

[26]  Vladimir Popović,et al.  The Possibility for FMEA Method Improvement and its Implementation into Bus Life Cycle , 2010 .

[27]  Eric Châtelet,et al.  Using a Hybrid Cost-FMEA Analysis for Wind Turbine Reliability Analysis , 2017 .

[28]  Samuel Yousefi,et al.  Identifying and managing failures in stone processing industry using cost-based FMEA , 2017 .

[29]  M. Korenko,et al.  Use of FMEA Method in Manufacturing Organization , 2012 .

[30]  Selva S. Rivera,et al.  Recommendations Generated about a Discontinuous Distillation Plant of Biofuel , 2009 .

[31]  Andreas Kunz,et al.  Critical consideration and improvement of the FMEA , 2002 .

[32]  K. Onodera,et al.  Effective techniques of FMEA at each life-cycle stage , 1997, Annual Reliability and Maintainability Symposium.

[33]  Abdul Raouf,et al.  A revised failure mode and effects analysis model , 1996 .

[34]  Anette von Ahsen,et al.  Cost‐oriented failure mode and effects analysis , 2008 .

[35]  Mahmood Shafiee,et al.  A Fuzzy-FMEA Risk Assessment Approach for Offshore Wind Turbines , 2020, International Journal of Prognostics and Health Management.

[36]  Jean-Yves Dantan,et al.  A quality/cost-based improvement approach for conceptual process planning , 2009 .