Towards a Smart Manufacturing Toolkit for SMEs

  • Sameer Mittal
  • David Romero
  • Thorsten WuestEmail author
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 540)


Technology, human and financial capitals will always be a significant constraint for manufacturing Small and Medium-sized Enterprises (SMEs). Keeping that in mind, this paper introduces a modular Smart Manufacturing (SM) Toolkit for SMEs as a set of technologies, methods, tools, and practices that can help manufacturing enterprises to increase their SM capabilities. The modular SM toolkit is composed of seven individual specialized toolboxes, which cover both technical and business management aspects of a successful digital transformation in a manufacturing SME. In addition, the various SME functions that can be supported with each individual toolbox are presented as well. The paper concludes with two short demonstration case studies as a means of an early validation mechanism for the SM toolkit in refinement.


Digitalization SMEs Industry 4.0 Smart Manufacturing Intelligent manufacturing Toolboxes Toolkit 


  1. 1.
    Kusiak, A.: Smart manufacturing. Int. J. Prod. Res. 56(1–2), 508–517 (2018)Google Scholar
  2. 2.
    Mittal, S., Khan, M.A., Romero, D., Wuest, T.: Smart manufacturing: characteristics, technologies and enabling factors. Part B: J. Eng. Manuf. (2017).
  3. 3.
    Huang, T.: Development of small-scale intelligent manufacturing systems (SIMS): a case study at Stella Polaris AS. Master thesis. Arctic University of Norway (2017)Google Scholar
  4. 4.
    Esmaeilian, B., Sara, B., Ben, W.: The evolution and future of manufacturing: a review. J. Manuf. Syst. 39, 79–100 (2016)CrossRefGoogle Scholar
  5. 5.
    Belekoukias, I., Garza-Reyes, J.A., Kumar, V.: The impact of lean methods and tools on the operational performance of manufacturing organisations. Int. J. Prod. Res. 52(18), 5346–5366 (2014)CrossRefGoogle Scholar
  6. 6.
    Kaartinen, H., Pieskä, S., Vähäsöyrinki, J.: Digital manufacturing toolbox for supporting the manufacturing SMEs. In: 7th IEEE International Conference on Cognitive Infocommunications, pp. 71–76 (2016)Google Scholar
  7. 7.
    Odedairo, B.O., Bell, D.: Framework for introducing and implementing value methods: a novel toolkit for small & medium scale industries in developing nations. Int. J. Basic Appl. Sci. 9(10), 130–146 (2010)Google Scholar
  8. 8.
    Alaskari, O., Ahmad, M.M., Pinedo-Cuenca, R.: Development of a methodology to assist manufacturing SMEs in the selection of appropriate lean tools. Int. J. Lean Six Sigma 7(1), 62–84 (2016)CrossRefGoogle Scholar
  9. 9.
    Lee, J.: e-Manufacturing: fundamental, tools, and transformation. Robot. Comput.-Integr. Manuf. 19(6), 501–507 (2003)CrossRefGoogle Scholar
  10. 10.
    Anderl, R., et al.: Guideline Industrie 4.0: guiding principles for the implementation of Industrie 4.0 in small and medium sized businesses. In: VDMA Forum Industrie, vol. 4 (2015)Google Scholar
  11. 11.
    Cusumano, M.A.: Shifting economies: from craft production to flexible systems and software factories. Res. Policy 21(5), 453–480 (1992)CrossRefGoogle Scholar
  12. 12.
    Bi, Z., Da Xu, L., Wang, C.: Internet of things for enterprise systems of modern manufacturing. IEEE Trans. Industr. Inf. 10(2), 1537–1546 (2014)CrossRefGoogle Scholar
  13. 13.
    Nelles, J., Kuz, S., Mertens, A., Schlick, C.M.: Human-centered design of assistance systems for production planning and control: the role of the human in Industry 4.0. In: IEEE International Conference on Industrial Technology, ICIT, pp. 2099–2104 (2016)Google Scholar
  14. 14.
    Osanaiye, O., et al.: From cloud to fog computing: a review and a conceptual live VM migration framework. IEEE Access 5, 8284–8300 (2017)CrossRefGoogle Scholar
  15. 15.
    Han, J., Pei, J., Kamber, M.: Data Mining: Concepts and Techniques. Elsevier, Amsterdam (2011)zbMATHGoogle Scholar
  16. 16.
    Vrande, V., De Jong, J., Vanhaverbeke, W., De Rochemont, M.: Open innovation in SMEs: trends, motives and management challenges. Technovation 29(6–7), 423–437 (2009)CrossRefGoogle Scholar
  17. 17.
    Li, Y., Ai, J., Sun, C.: Online fabric defect inspection using smart visual sensors. Sensors 13(4), 4659–4673 (2013)CrossRefGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2018

Authors and Affiliations

  1. 1.Industrial and Management Systems EngineeringBenjamin M. Statler College of Engineering and Mineral Resources, West Virginia UniversityMorgantownUSA
  2. 2.Tecnológico de MonterreyMexico CityMexico

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