A knowledge tailor-made method oriented to robotization of process: a case study of aeronautical materials’ drilling

  • Gustavo Franco BarbosaEmail author
  • Willian de Andrade Bezerra
Technical Paper


This paper aims to propose a novel knowledge tailor-made management method (KTMM) for industrial automation, to assist managers, project leaders and engineers interested on robotization of manufacturing. It looks for integrating the phases of analyzes, prospecting, development, deployment and evaluation of a robotized process. Specifically, this research focuses on the extraction of valuable knowledge, background and practical experience of the author in the field of industrial automation linked to literature review and motivated by the unavailability of a specific method in the literature that assists the entire process of robotization on the shop floor. The proposed KTMM was designed and supported by supply, input, process, output, control and knowledge management methodologies and integrated with the specialist skills and expertise of the author acquired in the organizational environment. To demonstrate the application of the proposed method, a case study of a robotized drilling process has been carried out in order to fulfill the KTMM method and its tasks. KTMM drives all steps of a robot implementation, increasing the efficiency, reducing cost and improving the quality, supporting the company to the competitive market. In addition, the proposal encourages the work team integration, aiming the sharing of knowledge and different skills.


Knowledge management Robotization Manufacturing 



We would like to acknowledge the supports of Nova Tecnologia, OSG Sulamericana and Robotmaster® companies in this development and implementation efforts.


  1. 1.
    ABPMP BPM CBOK™, V2.0 (2009) Guide to the business process management common body of knowledgeGoogle Scholar
  2. 2.
    Akhavan P, Pezeshkan A (2014) Knowledge management critical failure factors: a multi-case study. VINE 44(1):22–41CrossRefGoogle Scholar
  3. 3.
    Alavi M, Leidner D (2001) Knowledge management and knowledge management systems: conceptual foundations and research issues. MIS Q 25(1):107–136CrossRefGoogle Scholar
  4. 4.
    Alavi M, Tiwana A (2003) Knowledge management: the information technology dimension. In: Easterby-Smith M, Lyles MA (eds) Organizational learning and knowledge management. Blackwell Publishing, London, pp 104–121Google Scholar
  5. 5.
    ASM—Aerospace Specification Metals Inc. (2018). 800 398-4345.
  6. 6.
    Andrade GEV et al (2012) Análise da aplicação conjunta das técnicas SIPOC, fluxograma e FTA em uma empresa de médio porte. In: XXXII Encontro Nacional de Engenharia de Produção, Bento GonçalvesGoogle Scholar
  7. 7.
    A Roadmap for U.S. Robotics (2013). From Internet to Robotics. 2013 edGoogle Scholar
  8. 8.
    ASQ (2015) SIPOC (suppliers, input, process, output, customers). Service Quality Division. The Global Voice of QualityGoogle Scholar
  9. 9.
    Baloh P, Desouza KC, Paquette S (2011) The concept of knowledge. In: Desouza KC, Paquette S (eds) Knowledge management: an introduction. Neal-Schuman Publishers Inc, New York, NY, pp 35–71Google Scholar
  10. 10.
    Barbosa GF, Carvalho J (2013) Analytical model for aircraft design based on Design for Excellence (DFX) concepts and use of composite material oriented to automated processes. Int J Adv Manuf Technol 69(2):2333–2342CrossRefGoogle Scholar
  11. 11.
    Bigelow J (1831) Elements of technology. Taken chiefly from a course of lectures delivered at Cambridge, on the application of the sciences to the useful arts. Hilliard, Gray, Little and Wilkins, BostonGoogle Scholar
  12. 12.
    BizDiagram (2018) SIPOC. Business diagrams, frameworks, models.
  13. 13.
    Broetje Automation (2014) Integrated section assembly cell. Broetje website.
  14. 14.
    Cano R et al (2016) Flexible and low-cost robotic system for drilling material stacks. SAE Technical Paper 2016-01-2091.
  15. 15.
    Custy J (2007) Knowledge centred support and ITIL. HDI Local chapter, New InglandGoogle Scholar
  16. 16.
    Dalkir K (2011) Knowledge management in theory and practice. Elsevier Book, Amsterdam. ISBN 0-7506-7864-XGoogle Scholar
  17. 17.
    Darroch J, McNaughton R (2002) Examining the link between knowledge management practice and types of innovation. J Intellect Cap 3(3):210–222CrossRefGoogle Scholar
  18. 18.
    Davenport TH, De Long DW, Beers MC (1998) Successful knowledge management projects. Sloan Manag Rev 39(2):43–57Google Scholar
  19. 19.
    Davenport TH, Prusak L (2000) Working knowledge: how organizations manage what they know. Harvard Business School Press, Cambridge, MAGoogle Scholar
  20. 20.
    Grant RM (1996) Toward a knowledge-based theory of the firm. Strateg Manag J 17(Special Issue):109–122CrossRefGoogle Scholar
  21. 21.
    Grant RM (2002) Contemporary strategy analysis. Concepts, techniques and applications, 4th edn. Blackwell Publishers, BostonGoogle Scholar
  22. 22.
    Grayson J (2018) Why do organizations invest in knowledge management? What is knowledge management? APQC.orgGoogle Scholar
  23. 23.
    Hart MK, Hart RF (2007) Introduction to statistical process control techniques. SPC OvervGoogle Scholar
  24. 24.
    He W, Wang F-K, Akula V (2017) Managing extracted knowledge from big social media data for business decision making. J Knowl Manag 21(2):275–294. CrossRefGoogle Scholar
  25. 25.
    Holt S, Clauss R (2015) Robotic drilling and countersinking on highly curved surfaces. SAE Technical Paper 2015-01-2517.
  26. 26.
    IFR. Industrial Robot Statistics (2018) World robotics–industrial robot report 2018 published. IFR press releases.
  27. 27.
    iSixSigma (2018). SIPOC Diagram. Six Sigma Tools and Templates.
  28. 28.
    Jefferson TG et al (2013) Review of reconfigurable assembly systems technologies for cost effective wing structure assembly. SAE Aerotech International Publications, MontrealGoogle Scholar
  29. 29.
    Laporte S, De Castelbajac C (2012) Major breakthrough in multi material drilling, using low frequency axial vibration assistance. SAE aerospace manufacturing and automated fastening conference and exhibition, Dallas, United StatesGoogle Scholar
  30. 30.
    Lisi Aerospace (2016) Installation specification. HSTR_HLR-IS01. Revision AGoogle Scholar
  31. 31.
    March JG (1991) Exploration and exploitation in organizational learning. Organ Sci 2(1):71–87CrossRefGoogle Scholar
  32. 32.
    Marwick AD (2001) Knowledge management technology. IBM Syst J 40(4):814–830CrossRefGoogle Scholar
  33. 33.
    Oakland JS (2003) Statistical process control, 5th edn. Butterworth-Heinemann, New YorkGoogle Scholar
  34. 34.
    Omotayo FO (2015) Knowledge management as an important tool in organisational management: a review of literature. Library Philosophy and Practice (e-journal). ISSN: 1522-0222. Spring 4-10-2015. Libraries at University of Nebraska-LincolnGoogle Scholar
  35. 35.
    Ramulu M, Branson T, Kim D (2001) Study on the drilling of composite and titanium stacks. Compos Struct 54:67–77CrossRefGoogle Scholar
  36. 36.
    Santos-Vijande ML, López-Sánchez JÁ, Trespalacios JA (2012) How organizational learning affects a firm’s flexibility, competitive strategy, and performance. J Bus Res 65(8):1079–1089CrossRefGoogle Scholar
  37. 37.
    Tsuda J (2018) Automation is changing the way we work. IFR (International Federation of Robotics). Press-releases. President’s report.
  38. 38.
    Werkema C (2014) Ferramentas Estatísticas Básicas do Lean Seis Sigma Integradas ao PDCA e DMAIC. Elsevier Editora Ltda. ISBN: 978-85-352-5433-4Google Scholar
  39. 39.
    Wilkins DJ (2002) The bathtub curve and product failure behavior. Reliability HotWire.
  40. 40.
    Zack M (1999) Managing codified knowledge. Calif Manag Rev 40(4):45–58Google Scholar
  41. 41.
    Zack M, McKeen J, Singh S (2009) Knowledge management and organizational performance: an exploratory survey. J Knowl Manag 13(6):392–409CrossRefGoogle Scholar

Copyright information

© The Brazilian Society of Mechanical Sciences and Engineering 2019

Authors and Affiliations

  • Gustavo Franco Barbosa
    • 1
    Email author
  • Willian de Andrade Bezerra
    • 2
  1. 1.Department of Mechanical EngineeringFederal University of Sao CarlosSão CarlosBrazil
  2. 2.Department of Automation EngineeringFederal Institute of Sao PauloSão CarlosBrazil

Personalised recommendations