Skip to main content
Log in

Critical factors for the dimensional management system (DMS) implementation in manufacturing industries

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

An Erratum to this article was published on 11 August 2016

Abstract

This paper presents the critical factors that constitute a successful deployment of the dimensional management system (DMS) methodology in manufacturing industries. DMS refers to a process by which the whole integrated product development (i.e. conception, design, manufacturing and inspection) is systematically defined and monitored to meet predetermined dimensional quality goals. A deep research on academic literature was performed to raise 26 factors considered critical for a successful DMS implementation. Professionals who work in this area were surveyed about the importance of each factor, both in a conceptual view and degree of application of this same factor according to their experience. The survey was conducted in two different approaches to provide a clear comparison between these two contrasting aspects. After that, a management model that considers the top-rated factors obtained from the survey results, analysed by statistical multidimensional tools, is proposed. The factor importance/application ranking is a preliminary model which aims at offering a starting point for researchers concerned in continuing this analysis or to offer a guide for industries interested in this methodology.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Womack JP, Jones DT, Ross D, Roos D (1990) The machine that changed the world. Rawson, New York

    Google Scholar 

  2. Hicks BJ, Culley SJ, Allen RD, Mullineux G (2002) A framework for the requirements of capturing, storing and reusing information and knowledge in engineering design. Int J Inf Manage 22:263–280. doi:10.1016/S0268-4012(02)00012-9

    Article  Google Scholar 

  3. Taylor P, Akkermans HA, Van Wassenhove LN, Van Wassenhove LN, Taylor P, Akkermans HA, Van Wassenhove LN (2013) Searching for the grey swans: the next 50 years of production research. Int J Prod Res 51:6746–6755. doi:10.1080/00207543.2013.849827

    Article  Google Scholar 

  4. Henzold G, Henzold G (2006) Geometrical dimensioning and tolerancing for design, manufacturing and inspection a handbook for geometrical product specifications using ISO and ASME standards. Butterworth-Heinemann, Oxford; Burlington, MA

  5. Jeffreys D (2006) Developing dimensional management for the assembly of aircraft structures

  6. Drake P (1999) Dimensioning and tolerancing handbook

  7. Sharma SKS, Sharma SKS, Gupta RRD, Kumar A, Singh B (2011) Supplier issues for lean implementation. Int J Eng Sci Technol 3:3900–3905

    Google Scholar 

  8. Thornton AC Variation Risk Management: Focusing Quality Improvements in Product Development and Production. http://www.wiley.com/WileyCDA/WileyTitle/productCd-0471446793.html. Accessed 5 Feb 2016

  9. Hung H-F, Kao H-P, Ku K-C (2006) Evaluation of design alternatives in collaborative development and production of modular products. Int J Adv Manuf Technol 33:1065–1076. doi:10.1007/s00170-006-0548-9

    Article  Google Scholar 

  10. Skander A, Roucoules L, Klein Meyer JS (2007) Design and manufacturing interface modelling for manufacturing processes selection and knowledge synthesis in design. Int J Adv Manuf Technol 37:443–454. doi:10.1007/s00170-007-1003-2

    Article  Google Scholar 

  11. Nguyen VD, Martin P (2015) Product design-process selection-process planning integration based on modeling and simulation. Int J Adv Manuf Technol 77:187–201. doi:10.1007/s00170-014-6446-7

    Article  Google Scholar 

  12. Haleem A, Sushil QMA, Kumar S (2012) Analysis of critical success factors of world-class manufacturing practices: an application of interpretative structural modelling and interpretative ranking process. Prod Plan Control 23:722–734. doi:10.1080/09537287.2011.642134

    Article  Google Scholar 

  13. Rockart J (1982) The changing role of the information systems executive: a critical success factors perspective

  14. Bullen C, Rockart J (1981) A primer on critical success factors

  15. Hasan MAA, Shankar RBSJCSADAAA, Hasan MA, Shankar R, Sarkis J, Suhail A, Asif S (2009) A study of enablers of agile manufacturing. Int J Ind Syst Eng 4:407–430. doi:10.1504/IJISE.2009.024069

    Google Scholar 

  16. Jasurda D (2011) The correlation of as-manufactured products to as-designed specifications: closing the loop on dimensional quality results to engineering predictions. doi: 10.4271/2011-01-2569

  17. Hausch E, Carlos P, Hauscha E, Kaminski PC (2010) Systematics for development of dimensional characteristics of automotive industry products. Prod Manag Dev 8:93–106

    Google Scholar 

  18. Jasurda D (2012) Dimensional engineering and tolerance analysis : do it right the first time. doi: 10.4271/2012-01-0949

  19. Brown S, Blackmon K (2005) Aligning manufacturing strategy and business-level competitive strategy in new competitive environments: the case for strategic resonance. J Manag Stud 42:793–815. doi:10.1111/j.1467-6486.2005.00519.x

    Article  Google Scholar 

  20. Ombasic N, Zare D (2013) Methods and tools for a dimensional engineering process at Scania

  21. Fortune J, White D, Jugdev K, Walker D (2011) Looking again at current practice in project management. Int J Manag Proj Bus 4:553–572. doi:10.1108/17538371111164010

    Article  Google Scholar 

  22. Andrade E (2010) Gerenciamento De Conflitos Em Projetos. http://www.labceo.com.br/bibliografia/archive/files/d7f8df754785a2248c9a5809858495e5.pdf. Accessed 19 Jul 2015

  23. Lee DJ, Thornton AC (1996) The identification and use of key characteristics in the product development process

  24. Yang K, El-Haik BS (2003) Design for Six Sigma. McGraw-Hill New York

  25. Chen J, Damanpour F, Reilly RR (2010) Understanding antecedents of new product development speed: a meta-analysis. J Oper Manag 28:17–33. doi:10.1016/j.jom.2009.07.001

    Article  Google Scholar 

  26. Frechette SP, Jones AT, Fischer BR (2013) Strategy for testing conformance to geometric dimensioning & tolerancing standards. Procedia CIRP 10:211–215. doi:10.1016/j.procir.2013.08.033

    Article  Google Scholar 

  27. Maropoulos PGG, Ceglarek D (2010) Design verification and validation in product lifecycle. CIRP Ann Manuf Technol 59:740–759. doi:10.1016/j.cirp.2010.05.005

    Article  Google Scholar 

  28. Santos SEC dos, Pinto FMBD, Jorge RL, Humberto F da SF DA (2013) “Outsourcing” como Ferramenta Estratégica de Gestão Empresarial: situação de algumas empresas do Vale do Paraíba. Rev. Gestão Tecnol 1

  29. Steinkellner S (2011) Aircraft vehicle systems modeling and simulation under uncertainty. 1–52

  30. Linderman K, Schroeder RG, Zaheer S, Choo AS (2003) Six Sigma : a goal-theoretic perspective. 21:193–203

  31. Scatolin AC (2005) Aplicação da metodologia Seis Sigma na redução das perdas de um processo de manufatura. São Paulo

  32. Torminato SM, Novaski O (2004) Analise da utilização da ferramenta CEP : um estudo de caso na manufatura de autopeças. http://www.bibliotecadigital.unicamp.br/document/?code=vtls000343360. Accessed 4 Oct 2015

  33. Baldo CR (2003) A Interação entre o Controle de Processos e a Metrologia em Indústrias de Manufatura

  34. Oliveira SM De (2007) a Gestão De Programas De Desenvolvimento : Aplicação De Confiabilidade , Mantenabilidade E Segurança

  35. Bluvband Z, Grabov P, Nakar O (2004) Expanded FMEA (EFMEA). In: Annu. Symp. Reliab. Maint. 2004 - RAMS. pp 31–36

  36. Stamatis DH (2003) Failure mode and effect analysis: FMEA from theory to execution. ASQ Quality Press

  37. Petter A, Ola I (2008) Manufacturing system to support design concept and reuse of manufacturing experience. In: Manuf. Syst. Technol. New …. Springer, pp 137–140

  38. Zirger BJ, Hartley JL (1996) The effect of acceleration techniques on product development time. IEEE Trans Eng Manag 43:143–152. doi:10.1109/17.509980

    Article  Google Scholar 

  39. Chen IJ, Paulraj A (2004) Understanding supply chain management: critical research and a theoretical framework. Int J Prod Res 42:131–163. doi:10.1080/00207540310001602865

    Article  MATH  Google Scholar 

  40. Gerwin D (1993) Manufacturing flexibility: a strategic perspective. Manage Sci 39:395–410. doi:10.1287/mnsc.39.4.395

    Article  Google Scholar 

  41. Muelaner JE, Maropoulos P (2011) Integrated dimensional variation management in the digital factory. University of Bath, pp 39–46

  42. Krogstie L, Ebro M, Howard TJ (2014) How to implement and apply robust design: insights from industrial practice. Total Qual Manag Bus Excell:1–19 doi: 10.1080/14783363.2014.934520

  43. Cassettari CE, Batocchio A, Marcondes AB (2005) Lean manufacturing and Six Sigma. Warrendale, PA

    Book  Google Scholar 

  44. Malhotra NK (2001) Pesquisa de Marketing: uma orientação aplicada. Bookman Editora

  45. Rea LMM, Parker RAA (1992) Designing and conducting survey research

  46. Gil AC (1987) Como Elaborar Projetos de Pesquisa. Atlas, São Paulo

    Google Scholar 

  47. Campbell DT, Stanley CJ (1979) Delineamentos Experimentais e quase experimentais de pesquisa. 1–138

  48. Cronbach L (1951) Coefficient alpha and the internal structure of tests. Psychometrika

  49. García JL, Rivera DG, Iniesta AA (2013) Critical success factors for Kaizen implementation in manufacturing industries in Mexico. Int J Adv Manuf Technol 68:537–545. doi:10.1007/s00170-013-4750-2

    Article  Google Scholar 

  50. Brah SA, Chong W-K (2004) Relationship between total productive maintenance and performance. Int J Prod Res 42:2383–2401. doi:10.1080/00207540410001661418

    Article  MATH  Google Scholar 

  51. Tavakol M, Dennickn R (2011) Making sense of Cronbach’s alpha. Int J Med Educ 53–55

  52. Flynn BB, Flynn EJ (2005) Synergies between supply chain management and quality management: emerging implications. Int J Prod Res 43:3421–3436. doi:10.1080/00207540500118076

    Article  Google Scholar 

  53. Hair JF, Black WC, Babin BJ, Anderson RE, Tatham RL (2009) Análise multivariada de dados - 6ed. Bookman Editora

  54. Gliem RR, Gliem JA (2003) Calculating, interpreting, and reporting Cronbach’s alpha reliability coefficient for Likert-TYPE Scales

  55. Hair J, Black W, Babin B, Anderson R, Tatham R (2006) Multivariate data analysis

  56. Siebert J, Kunz R (2015) Developing and validating the multidimensional proactive decision-making scale. Eur J Oper Res. doi:10.1016/j.ejor.2015.06.066

    MATH  Google Scholar 

  57. Anholon R, Sano AT (2015) Analysis of critical processes in the implementation of lean manufacturing projects using project management guidelines. Int J Adv Manuf Technol. doi:10.1007/s00170-015-7865-9

    Google Scholar 

  58. Pestana MHM, Gageiro JJN (2003) Análise de dados para ciências sociais: a complementaridade do SPSS

  59. Laros JA (2012) O Uso da Análise Fatorial: Algumas Diretrizes para Pesquisadores. Análise Fatorial para Pesqui:141–166

  60. Alwin D, Krosnick J (1985) The measurement of values in surveys: a comparison of ratings and rankings. Public Opin Q 49:535–552. doi:10.1086/268949

    Article  Google Scholar 

  61. Cohen J (1992) Statistical power analysis. Curr Dir Psychol Sci:98–101

  62. Hair JF (2014) A primer on partial least squares structural equations modeling (PLS-SEM). SAGE, Los Angeles

    MATH  Google Scholar 

  63. Myatt G (2007) Making sense of data: a practical guide to exploratory data analysis and data mining. Wiley-Interscience, Hoboken, N.J

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rosley Anholon.

Additional information

An erratum to this article is available at http://dx.doi.org/10.1007/s00170-016-9207-y.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Teoi, A.Y., Anholon, R., da Silva, D. et al. Critical factors for the dimensional management system (DMS) implementation in manufacturing industries. Int J Adv Manuf Technol 88, 1053–1063 (2017). https://doi.org/10.1007/s00170-016-8824-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-016-8824-9

Keywords

Navigation