Identification of the Inspection Specifications for Achieving Zero Defect Manufacturing

  • Foivos PsarommatisEmail author
  • Dimitris Kiritsis
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 566)


The contemporary manufacturing landscape is characterized by increased volatility shortened product life cycles and increased degree of product customization. Manufacturing companies are continuously facing the challenge of operating their manufacturing processes and systems in order to deliver the required production rates of high quality products, while minimizing the use of resources. They can achieve this with a concept named Zero Defect Manufacturing. This concept implies that inspection is performed to all the parts and therefore they can achieve zero defects. The problem is that inspection can be either time consuming process or a very expensive process. The goal of the current research work is a methodology for the identification of the acceptable inspection specification in order for the production system to stay efficient and at the same time produce non-defected products. In other words the outcome of this paper will be a set of maps that depicts which can be the acceptable inspection characteristics such as inspection time and inspection cost.


Zero Defect Manufacturing Inspection time Inspection cost Inspection specification Defect detection 



The presented work presented supported by the project Z-Fact0r, an EU H2020 project under grant agreement No. 723906. The paper reflects the authors’ views and the Commission is not responsible for any use that may be made of the information it contains.


  1. 1.
    Ferretti, S., Caputo, D., Penza, M., D’Addona, D.M.: Monitoring systems for zero defect manufacturing. Proc. CIRP 12, 258–263 (2013)CrossRefGoogle Scholar
  2. 2.
    Psarommatis, F., May, G., Dreyfus, P.-A., Kiritsis, D.: Zero defect manufacturing: state-of-the-art review, shortcomings and future directions in research. Int. J. Prod. Res. 7543, 1–17 (2019)CrossRefGoogle Scholar
  3. 3.
    Psarommatis, F., Kiritsis, D.: A scheduling tool for achieving zero defect manufacturing (ZDM): a conceptual framework. In: Moon, I., Lee, G.M., Park, J., Kiritsis, D., von Cieminski, G. (eds.) APMS 2018. IFIPAICT, vol. 536, pp. 271–278. Springer, Cham (2018). Scholar
  4. 4.
    Klippel, W.: End-of-line testing. In: Assembly Line - Theory and Practice. InTech (2011)Google Scholar
  5. 5.
    Eger, F., et al.: Zero defect manufacturing strategies for reduction of scrap and inspection effort in multi-stage production systems. Proc. CIRP 67, 368–373 (2018)CrossRefGoogle Scholar
  6. 6.
    Iglesias, C., Martínez, J., Taboada, J.: Automated vision system for quality inspection of slate slabs. Comput. Ind. 99, 119–129 (2018)CrossRefGoogle Scholar
  7. 7.
    Colledani, M., et al.: Design and management of manufacturing systems for production quality. CIRP Ann. 63(2), 773–796 (2014)CrossRefGoogle Scholar
  8. 8.
    Genta, G., Galetto, M., Franceschini, F.: Product complexity and design of inspection strategies for assembly manufacturing processes. Int. J. Prod. Res. 56(11), 4056–4066 (2018)CrossRefGoogle Scholar
  9. 9.
    Sarkar, B., Saren, S.: Product inspection policy for an imperfect production system with inspection errors and warranty cost. Eur. J. Oper. Res. 248(1), 263–271 (2016)CrossRefGoogle Scholar
  10. 10.
    Mohammadi, B., Taleizadeh, A.A., Noorossana, R., Samimi, H.: Optimizing integrated manufacturing and products inspection policy for deteriorating manufacturing system with imperfect inspection. J. Manuf. Syst. 37, 299–315 (2015)CrossRefGoogle Scholar
  11. 11.
    Mourtzis, D., Doukas, M., Psarommatis, F.: A multi-criteria evaluation of centralized and decentralized production networks in a highly customer-driven environment. CIRP Ann. - Manuf. Technol. 61(1), 427–430 (2012)CrossRefGoogle Scholar
  12. 12.
    Mourtzis, D., Doukas, M., Psarommatis, F.: A toolbox for the design, planning and operation of manufacturing networks in a mass customisation environment. J. Manuf. Syst. 36, 274–286 (2015)CrossRefGoogle Scholar
  13. 13.
    Pinedo, M.L.: Scheduling Theory, Algorithms, and Systems, 5th edn. Springer, New York (2016)zbMATHGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2019

Authors and Affiliations

  1. 1.ICT for Sustainable ManufacturingÉcole polytechnique fédérale de LausanneLausanneSwitzerland

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