Defining Quality and Maturity Level Applying the Grey System and the Method for Automotive Enterprises Diagnosis

Robisom Damasceno Calado; Messias Borges Silva; Angela Alice Silva Boa Sorte Oliveira; Gabriela Salim Spagnol; Alice Sarantopoulos; Li Min Li

doi:doi:10.11648/j.ajtas.s.2014030601.13

Defining Quality and Maturity Level Applying the Grey System and the Method for Automotive Enterprises Diagnosis

Robisom Damasceno Calado, Messias Borges Silva, Angela Alice Silva Boa Sorte Oliveira, Gabriela Salim Spagnol, Alice Sarantopoulos, Li Min Li

Published in American Journal of Theoretical and Applied Statistics (Volume 3, Issue 6-1)

Received: 30 November 2014 Accepted: 11 December 2014 Published: 27 December 2014

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Abstract

This study intends to diagnose the maturity level of companies certified by the Automotive Quality Management System ISO TS 16949: 2009. Thus, it analyzes if those are considered World Class Organizations (WCO), identifying its management strengths and weaknesses, to provide input for improvement opportunities in their systems. This study methodology applies the Questionnaire Benchmarking Industrial from the Institute Euvaldo Lodi of Santa Catarina (IEL / SC) using the Method for Enterprises Diagnosis (MED). Therefore, it was performed using quantitative analysis regarding the degree of companies’ maturity, applying the Grey Correlation Analysis System. Considering this research limitations and implications classify, its results are classified as exploratory. Future research may focus and study the correlation between a greater number of companies certified by ISO TS. Broad-based and larger sample size would provide a better picture for ISO TS and each organizations maturity state. This study value lies in the ability of diagnosing the organization maturity level, applying MED, Industrial Benchmarking and Grey System tools. Those allowed to define weaknesses and strengths of each organization in analysis. The study resulted in the identification of a systematic way to guide new projects and initiatives, to support and develop strategic planning and to identify how organizations are establishing world class standards.

Published in	American Journal of Theoretical and Applied Statistics (Volume 3, Issue 6-1) This article belongs to the Special Issue Statistical Engineering
DOI	10.11648/j.ajtas.s.2014030601.13
Page(s)	23-34
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

ISO TS 16949, Automotive, World Class Benchmarking, Grey Method

References

[1]	C.P. Kartha, “A comparison of ISO 9000:2000 quality system standards, QS9000, ISO/TS 16949 and Baldrige criteria”, The TQM Magazine, v.16, n.5, 2004, pp. 331–340.
[2]	N.M.Zakuan, S.M. Yusof and A.M. Shaharou, “The Link between Total Quality Management and Organizational Performance in Malaysian Automotive Industry: the mediating role of ISO/TS16949 efforts”, IEEE International Conference on Industrial Engineering and Engineering Management, pp.439-443, 2009.
[3]	D. M. Johnson, J. Sun, M.A. Johnson, “Integrating multiple manufacturing initiatives: challenge for automotive suppliers”, Measuring Business Excellence, v. 11, n. 3, 2007, pp. 41-56.
[4]	Associação Brasileira De Normas Técnicas, ABNT NBR ISO 9000: Sistemas de Gestão da Qualidade – Fundamentos e Vocabulário, 2005.
[5]	Associação Brasileira De Normas Técnicas. ABNT NBR ISO 9004: Gestão para o Sucesso Sustentado de uma Organização – Uma Abordagem da Gestão da Qualidade, 2010.
[6]	Hernandez, H, “Quality audit as a driver for compliance to ISO 9001:2008 standards”, The TQM Journal, v. 22, n. 4, 2010, pp. 454-466.
[7]	ISO TS 16949, Quality Management Systems - Particular requirements for the application of ISO 9001:2008 for automotive production and relevant service part organizations, 2009.
[8]	P.J. Singh, M. Feng, and A. Smith, “ISO 9000 series of standards: comparison of manufacturing and service organizations” International Journal of Quality & Reliability Management, v. 23, n. 2, 2006, pp. 122-142.
[9]	C. Estorilio and R. K. Posso, “The reduction of irregularities in the use of “process FMEA”, International Journal of Quality & Reliability Management, v. 27, n. 6, 2010, pp. 721-733.
[10]	R. Sroufe and S. Curkovic, “An examination of ISO 9000:2000 and supply chain quality assurance”, Journal of Operations Management, v. 26, 2008, pp.503–520.
[11]	M. Bevilacqua, F.E. Ciarapica, G. Giacchetta and B. Marchetti, “Implementation of a quality procedure based on Delphi method and the ISO/TS 16949: 2009 in the production of stainless steel tubes for automotive exhaust systems”, International Journal of Quality & Reliability Management, v. 28, n. 8, 2011, pp. 841-866.
[12]	B.D. Rodríguez-Rocha, F.E. Castillo-Barrera and H. López-Padilla, “Knowledge Capitalization in the Automotive Industry using an Ontology based on the ISO/TS 16949 standard”, Electronics, Robotics and Automotive Mechanics Conference, 2009, pp. 100-106.
[13]	D. Joshi, B. Nepal, A.P.S. Rathore, D. Sharma, “On supply chain competitiveness of Indian automotive component manufacturing industry”, International Journal of Production Economics, 2013.
[14]	Instituto Euvaldo Lodi de Santa Catarina (IEL/SC), Questionário Benchmarking Industrial, Florianópolis, r.11, 2009.
[15]	P.A.C. Miguel, “Metodologia de Pesquisa em Engenharia de Produção e Gestão de Operações”, Abepro, 2010, 226p.
[16]	U.R. de Oliveira, F.A.S. Marins and P.R.T. Dalcol, “Diretrizes metodológicas de pesquisa acadêmica em engenharia de produção: uma abordagem prática, 2009.
[17]	W.E. Deming, “Qualidade: A revolução da Administração”, 1ª ed, Rio de Janeiro: Marques-Saraiva, 1990, p. 367.
[18]	J.M. Juran, “Na Liderança pela Qualidade: Um guia para executivos” 3ª ed. – São Paulo: Pioneira, 1995, p. 386.
[19]	P. B. Crosby, “Qualidade e Investimento: A Arte de Garantir a Qualidade”, 7ª ed. – Rio de Janeiro: José Olympio, 1999, p. 327.
[20]	A. Vanichchinchai and B. Igel, “Total quality management and supply chain management: similarities and differences”, The TQM Magazine, v. 21, n. 3, 2009, pp. 249-260.
[21]	L. Gan, J. Xu and B. T. Han, “A computer-integrated FMEA for dynamic supply chains in a flexible-based environment”, International Journal, Advanced Manufacturing Technology, v. 59, 2012, pp. 697–717.
[22]	M.S. Ilkay and E. Aslan, “The effect of the ISO 9001 quality management system on the performance of SMEs”, International Journal of Quality & Reliability Management, v. 29, n. 7, 2012, pp. 753-778.
[23]	A. L. Las casas, “Qualidade total em Serviços: Conceitos, Exercícios, Casos Práticos”, 5ª ed. – São Paulo: Atlas, 2006. p. 231.
[24]	N. I. Fisher and V. N. Nair, “Quality management and quality practice: Perspectives on their history and their future”, Applied Stochastic Models in Business and Industry, v. 25, 2009, pp. 1–28.
[25]	V.G.P. Díaz, L. B. Martínez, J.F.G. Fernández and A. C. Márquez, “Contractual and quality aspects on warranty: Best practices for the warranty management and its maturity assessment”, International Journal of Quality & Reliability Management, v. 29, n.3, 2012, pp. 320-348.
[26]	M.M. Carvalho, E.P. Paladini, G. Bouer, J.J.A. Ferreira, P.A.C. Miguel, R.W. Samohyl and R. G. Rotondaro, “Gestão da Qualidade: Teoria e Casos”, 1ª Ed. – Rio de Janeiro: Elsevier, 2005, p. 355.
[27]	K. Serdar and E.A. Karaman, “A fuzzy logic model for benchmarking the knowledge management performance of construction firms”, Canadian Journal of Civil Engineering, v. 38, 2011, pp. 464-475.
[28]	S. Wu, “Warranty data analysis: a review”, Quality and Reliability Engineering International, v. 28, 2012, pp. 795–805.
[29]	X. Zu, T. L. Robbins and L.D. Fredendall, “Mapping the critical links between organizational culture and TQM/ Six Sigma practices”, International Journal Production Economics, v. 123, 2010, pp.86–106.
[30]	F. Wiengarten and M. Pagell, “The importance of quality management for the success of environmental management initiatives”, International Journal of Production Economics, v. 140, 2012, pp. 407–415.
[31]	S. Rahman, T. Laosirihongthong, A.S. Sohal, “Impact of lean strategy on operational performance: a study of Thai manufacturing companies”, Journal of Manufacturing Technology Management, v. 21, n. 7, 2010, pp. 839-852.
[32]	T.J. Kull and J.G. Wacker, “Quality management effectiveness in Asia: The influence of culture”, Journal of Operations Management, v.28, 2010, pp. 223–239.
[33]	H.B. Mahmoud, R. Ketata, T.B. Romdhane, S.B. Ahmed, “A multiobjective-optimization approach for a piloted quality-management system: A comparison of two approaches for a case study”, Computers in Industry, v. 62, 2011, pp. 460–466.
[34]	D.I. Levine and M.W. Toffel, “Quality Management and Job Quality: How the ISO 9001 Standard for Quality Management Systems Affects Employees and Employers”, Management Science, v. 56, n. 6, pp. 978–996, 2010.
[35]	G.L.L. Reniers, K. Cremer and J. Buytaert, “Continuously and simultaneously optimizing an organization’s safety and security culture and climate: the improvement diamond for excellence achievement and leadership in safety & security (IDEAL S&S) model”, Journal of Cleaner Production, v. 19, 2011, pp. 1239-1249.
[36]	A. Azadeh, A. H. Farmand and Z. J. Sharahi, “Performance assessment and optimization of HSE management systems with human error and ambiguity by an integrated fuzzy multivariate approach in a large conventional power plant manufacturer”, Journal of Loss Prevention in the Process Industries, v. 25, 2012, pp. 594-603.
[37]	M.M. Parast and S.G. Adams, “Corporate social responsibility, benchmarking, and organizational performance in the petroleum industry: A quality management perspective”, International Journal Production Economics, v. 139, 2012, pp. 447–458.
[38]	D. Adebanjo, A. Abbas and R. Mann, “An investigation of the adoption and implementation of Benchmarking”, International Journal of Operations & Production Management, v. 30, n. 11, 2010, pp. 1140-1169.
[39]	M.-C. Lai, W.-K. Wang, H.-C. Huang and M.-C. Kao, “Linking the benchmarking tool to a knowledge-based system for performance improvement”, Expert Systems with Applications, v.38, 2011, pp. 10579–10586.
[40]	M. Schefczyk, “Industrial Benchmarking: A case of performance analysis techniques”, International Journal of Production Economics, v.32, 1993, pp. 1-11.
[41]	K.Serdar and E.A. Karaman, “A fuzzy logic model for benchmarking the knowledge management performance of construction firms”, Canadian Journal of Civil Engineering, v. 38, 2011, pp. 464-475.
[42]	H. Grupp and T. Schubert, “Review and new evidence on composite innovation indicators for evaluating national performance”, Research Policy, v. 39, 2010, pp. 67–78.
[43]	Seibel, S, “Um Modelo de Benchmarking baseado no Sistema Produtivo Classe Mundial para Avaliação de Práticas e Performances da Indústria Exportadora”, Tese (Doutorado), Programa de Pós-graduação em Engenharia de Produção, Universidade Federal de Santa Catarina. Florianópolis, 2004.
[44]	R. D. Calado, “Método de diagnóstico de empresa: uma abordagem segundo os princípios Lean”, Tese (Doutorado), Programa de Pós Graduação em Engenharia Mecânica, Universidade Estadual de Campinas, Campinas, 2011.
[45]	R. D. Calado, A. Batocchio and F. A. Calarge, “Teoria do Sistema Grey: Um Método de Análise e Correlação para a Seleção e Avaliação de Projetos”, XIX Simpósio Internacional de Engenharia Automotiva, 2011.
[46]	B.T. Laugen, N. Acur, H. Boer and J. Frick, “Best manufacturing practices: What do the best-performing companies do?” International Journal of Operations & Production Management, v. 25, n. 2, 2005, pp. 131-150.
[47]	Y. Lin, S. Ma and L. Zhou, “Manufacturing strategies for time based competitive advantages”, Industrial Management & Data Systems, v. 112, n. 5, 2012, pp.729-747.
[48]	J. Motwani, A. Kumar and Y.W.C.M. Kathawala, “Practices of North American Manufacturing Organizations”, Industrial Management & Data Systems, v. 94, n. 7, 1994, pp. 18-23.
[49]	C. Voss and K. Blackmon, “The impact of national and parent company origin on world-class manufacturing Findings from Britain and Germany”, International Journal of Operations & Production Management, v. 16, n. 11, 1996, pp. 98-115.
[50]	N. Thawesaengskulthai, “An empirical framework for selecting quality management and improvement initiatives”, International Journal of Quality & Reliability Management, v. 27, n. 2, 2010, pp. 156-172.
[51]	A. Harrison, “Manufacturing strategy and the concept of world class Manufacturing”, International Journal of Operations & Production Management, v. 18, n. 4, 1998, pp. 397-408.
[52]	P. Hanson, C. Voss, “Benchmarking Best Practice in European Manufacturing Sites”, Business Process Reengineering & Management Journal, v. 1, n. 1, 1995, pp. 60-74.
[53]	G. Zheng, Y. Jing, H. Huang and Y. Gao, “Application of improved grey relational projection method to evaluate sustainable building envelope performance”, Applied Energy, v. 87, 2010, pp. 710–720.
[54]	D. Ju-Long, “Control Problems of Grey Systems. System & Control Letters”, v. 1, n. 5, 1982, pp. 288-294.
[55]	W.C. Ip, B.Q. Hu, H. Wong, J. Xia, “Applications of Grey relational method to river environment quality evaluation in China”, Journal of Hydrology, v. 379, pp. 284–290, 2009.
[56]	Q. Song and M. Shepperd, “Predicting software project effort: A grey relational analysis based method”, Expert Systems with Applications, v. 38, 2011, pp.7302–7316.
[57]	J. Zhu and K.W. Hipel, “Multiple stages grey target decision making method with incomplete weight based on multi-granularity linguistic label”, Information Sciences, v. 212, 2012, pp. 15–32.
[58]	B. Acherjee, A. S. Kuar, S. Mitra and D. Misra, “Application of grey-based Taguchi method for simultaneous optimization of multiple quality characteristics in laser transmission welding process of thermoplastics”, International Journal, Advanced Manufacturing Technology, v. 56, 2011, pp. 995–1006.
[59]	H.–L. Lin, “The use of the Taguchi method with grey relational analysis and a neural network to optimize a novel GMA welding process”, Journal of Intelligent Manufacturing, v. 23, 2012, pp. 1671–1680.
[60]	C. Tie-Jun and L. Sha, “Application and Study of Lean Production Theory in the Manufacturing Enterprise”, IEEE 2008, 2008 International Conference on Information Management, Innovation Management and Industrial Engineering, 2008.

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APA Style

Robisom Damasceno Calado, Messias Borges Silva, Angela Alice Silva Boa Sorte Oliveira, Gabriela Salim Spagnol, Alice Sarantopoulos, et al. (2014). Defining Quality and Maturity Level Applying the Grey System and the Method for Automotive Enterprises Diagnosis. American Journal of Theoretical and Applied Statistics, 3(6-1), 23-34. https://doi.org/10.11648/j.ajtas.s.2014030601.13

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ACS Style

Robisom Damasceno Calado; Messias Borges Silva; Angela Alice Silva Boa Sorte Oliveira; Gabriela Salim Spagnol; Alice Sarantopoulos, et al. Defining Quality and Maturity Level Applying the Grey System and the Method for Automotive Enterprises Diagnosis. Am. J. Theor. Appl. Stat. 2014, 3(6-1), 23-34. doi: 10.11648/j.ajtas.s.2014030601.13

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AMA Style

Robisom Damasceno Calado, Messias Borges Silva, Angela Alice Silva Boa Sorte Oliveira, Gabriela Salim Spagnol, Alice Sarantopoulos, et al. Defining Quality and Maturity Level Applying the Grey System and the Method for Automotive Enterprises Diagnosis. Am J Theor Appl Stat. 2014;3(6-1):23-34. doi: 10.11648/j.ajtas.s.2014030601.13

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@article{10.11648/j.ajtas.s.2014030601.13,
  author = {Robisom Damasceno Calado and Messias Borges Silva and Angela Alice Silva Boa Sorte Oliveira and Gabriela Salim Spagnol and Alice Sarantopoulos and Li Min Li},
  title = {Defining Quality and Maturity Level Applying the Grey System and the Method for Automotive Enterprises Diagnosis},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {3},
  number = {6-1},
  pages = {23-34},
  doi = {10.11648/j.ajtas.s.2014030601.13},
  url = {https://doi.org/10.11648/j.ajtas.s.2014030601.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.s.2014030601.13},
  abstract = {This study intends to diagnose the maturity level of companies certified by the Automotive Quality Management System ISO TS 16949: 2009. Thus, it analyzes if those are considered World Class Organizations (WCO), identifying its management strengths and weaknesses, to provide input for improvement opportunities in their systems. This study methodology applies the Questionnaire Benchmarking Industrial from the Institute Euvaldo Lodi of Santa Catarina (IEL / SC) using the Method for Enterprises Diagnosis (MED). Therefore, it was performed using quantitative analysis regarding the degree of companies’ maturity, applying the Grey Correlation Analysis System. Considering this research limitations and implications classify, its results are classified as exploratory. Future research may focus and study the correlation between a greater number of companies certified by ISO TS. Broad-based and larger sample size would provide a better picture for ISO TS and each organizations maturity state. This study value lies in the ability of diagnosing the organization maturity level, applying MED, Industrial Benchmarking and Grey System tools. Those allowed to define weaknesses and strengths of each organization in analysis. The study resulted in the identification of a systematic way to guide new projects and initiatives, to support and develop strategic planning and to identify how organizations are establishing world class standards.},
 year = {2014}
}

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TY  - JOUR
T1  - Defining Quality and Maturity Level Applying the Grey System and the Method for Automotive Enterprises Diagnosis
AU  - Robisom Damasceno Calado
AU  - Messias Borges Silva
AU  - Angela Alice Silva Boa Sorte Oliveira
AU  - Gabriela Salim Spagnol
AU  - Alice Sarantopoulos
AU  - Li Min Li
Y1  - 2014/12/27
PY  - 2014
N1  - https://doi.org/10.11648/j.ajtas.s.2014030601.13
DO  - 10.11648/j.ajtas.s.2014030601.13
T2  - American Journal of Theoretical and Applied Statistics
JF  - American Journal of Theoretical and Applied Statistics
JO  - American Journal of Theoretical and Applied Statistics
SP  - 23
EP  - 34
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.s.2014030601.13
AB  - This study intends to diagnose the maturity level of companies certified by the Automotive Quality Management System ISO TS 16949: 2009. Thus, it analyzes if those are considered World Class Organizations (WCO), identifying its management strengths and weaknesses, to provide input for improvement opportunities in their systems. This study methodology applies the Questionnaire Benchmarking Industrial from the Institute Euvaldo Lodi of Santa Catarina (IEL / SC) using the Method for Enterprises Diagnosis (MED). Therefore, it was performed using quantitative analysis regarding the degree of companies’ maturity, applying the Grey Correlation Analysis System. Considering this research limitations and implications classify, its results are classified as exploratory. Future research may focus and study the correlation between a greater number of companies certified by ISO TS. Broad-based and larger sample size would provide a better picture for ISO TS and each organizations maturity state. This study value lies in the ability of diagnosing the organization maturity level, applying MED, Industrial Benchmarking and Grey System tools. Those allowed to define weaknesses and strengths of each organization in analysis. The study resulted in the identification of a systematic way to guide new projects and initiatives, to support and develop strategic planning and to identify how organizations are establishing world class standards.
VL  - 3
IS  - 6-1
ER  -

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Author Information

Robisom Damasceno Calado

School of Production Engineering (EP-USF), S?o Francisco University, Campinas – SP, Brazil
Messias Borges Silva

School of Engineering of Guaratinguetá (FEG –UNESP), S?o Paulo State University, Guaratinguetá – SP, Brazil
Angela Alice Silva Boa Sorte Oliveira

School of Engineering of Guaratinguetá (FEG –UNESP), S?o Paulo State University, Guaratinguetá – SP, Brazil
Gabriela Salim Spagnol

School of Medical Sciences (FCM –UNICAMP), University of Campinas, Campinas - SP, Brazil
Alice Sarantopoulos

School of Medical Sciences (FCM –UNICAMP), University of Campinas, Campinas - SP, Brazil
Li Min Li

School of Medical Sciences (FCM –UNICAMP), University of Campinas, Campinas - SP, Brazil

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APA Style

Robisom Damasceno Calado, Messias Borges Silva, Angela Alice Silva Boa Sorte Oliveira, Gabriela Salim Spagnol, Alice Sarantopoulos, et al. (2014). Defining Quality and Maturity Level Applying the Grey System and the Method for Automotive Enterprises Diagnosis. American Journal of Theoretical and Applied Statistics, 3(6-1), 23-34. https://doi.org/10.11648/j.ajtas.s.2014030601.13

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ACS Style

Robisom Damasceno Calado; Messias Borges Silva; Angela Alice Silva Boa Sorte Oliveira; Gabriela Salim Spagnol; Alice Sarantopoulos, et al. Defining Quality and Maturity Level Applying the Grey System and the Method for Automotive Enterprises Diagnosis. Am. J. Theor. Appl. Stat. 2014, 3(6-1), 23-34. doi: 10.11648/j.ajtas.s.2014030601.13

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AMA Style

Robisom Damasceno Calado, Messias Borges Silva, Angela Alice Silva Boa Sorte Oliveira, Gabriela Salim Spagnol, Alice Sarantopoulos, et al. Defining Quality and Maturity Level Applying the Grey System and the Method for Automotive Enterprises Diagnosis. Am J Theor Appl Stat. 2014;3(6-1):23-34. doi: 10.11648/j.ajtas.s.2014030601.13

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@article{10.11648/j.ajtas.s.2014030601.13,
  author = {Robisom Damasceno Calado and Messias Borges Silva and Angela Alice Silva Boa Sorte Oliveira and Gabriela Salim Spagnol and Alice Sarantopoulos and Li Min Li},
  title = {Defining Quality and Maturity Level Applying the Grey System and the Method for Automotive Enterprises Diagnosis},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {3},
  number = {6-1},
  pages = {23-34},
  doi = {10.11648/j.ajtas.s.2014030601.13},
  url = {https://doi.org/10.11648/j.ajtas.s.2014030601.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.s.2014030601.13},
  abstract = {This study intends to diagnose the maturity level of companies certified by the Automotive Quality Management System ISO TS 16949: 2009. Thus, it analyzes if those are considered World Class Organizations (WCO), identifying its management strengths and weaknesses, to provide input for improvement opportunities in their systems. This study methodology applies the Questionnaire Benchmarking Industrial from the Institute Euvaldo Lodi of Santa Catarina (IEL / SC) using the Method for Enterprises Diagnosis (MED). Therefore, it was performed using quantitative analysis regarding the degree of companies’ maturity, applying the Grey Correlation Analysis System. Considering this research limitations and implications classify, its results are classified as exploratory. Future research may focus and study the correlation between a greater number of companies certified by ISO TS. Broad-based and larger sample size would provide a better picture for ISO TS and each organizations maturity state. This study value lies in the ability of diagnosing the organization maturity level, applying MED, Industrial Benchmarking and Grey System tools. Those allowed to define weaknesses and strengths of each organization in analysis. The study resulted in the identification of a systematic way to guide new projects and initiatives, to support and develop strategic planning and to identify how organizations are establishing world class standards.},
 year = {2014}
}

Copy | Download

TY  - JOUR
T1  - Defining Quality and Maturity Level Applying the Grey System and the Method for Automotive Enterprises Diagnosis
AU  - Robisom Damasceno Calado
AU  - Messias Borges Silva
AU  - Angela Alice Silva Boa Sorte Oliveira
AU  - Gabriela Salim Spagnol
AU  - Alice Sarantopoulos
AU  - Li Min Li
Y1  - 2014/12/27
PY  - 2014
N1  - https://doi.org/10.11648/j.ajtas.s.2014030601.13
DO  - 10.11648/j.ajtas.s.2014030601.13
T2  - American Journal of Theoretical and Applied Statistics
JF  - American Journal of Theoretical and Applied Statistics
JO  - American Journal of Theoretical and Applied Statistics
SP  - 23
EP  - 34
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.s.2014030601.13
AB  - This study intends to diagnose the maturity level of companies certified by the Automotive Quality Management System ISO TS 16949: 2009. Thus, it analyzes if those are considered World Class Organizations (WCO), identifying its management strengths and weaknesses, to provide input for improvement opportunities in their systems. This study methodology applies the Questionnaire Benchmarking Industrial from the Institute Euvaldo Lodi of Santa Catarina (IEL / SC) using the Method for Enterprises Diagnosis (MED). Therefore, it was performed using quantitative analysis regarding the degree of companies’ maturity, applying the Grey Correlation Analysis System. Considering this research limitations and implications classify, its results are classified as exploratory. Future research may focus and study the correlation between a greater number of companies certified by ISO TS. Broad-based and larger sample size would provide a better picture for ISO TS and each organizations maturity state. This study value lies in the ability of diagnosing the organization maturity level, applying MED, Industrial Benchmarking and Grey System tools. Those allowed to define weaknesses and strengths of each organization in analysis. The study resulted in the identification of a systematic way to guide new projects and initiatives, to support and develop strategic planning and to identify how organizations are establishing world class standards.
VL  - 3
IS  - 6-1
ER  -

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