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Digitalization priorities of quality control processes for SMEs: a conceptual study in perspective of Industry 4.0 adoption

Author

Listed:
  • Gautam Dutta

    (Amity University)

  • Ravinder Kumar

    (Amity University)

  • Rahul Sindhwani

    (Amity University)

  • Rajesh Kr. Singh

    (Management Development Institute)

Abstract

Digitalization is an opportunity for manufacturing SMEs to transform, not only for the flexibility and agility, but also for improved responsiveness in meeting customer requirements. Quality, being an integral part of customer-orientation, needs to be at the forefront of transformation under digitalization. Also, the digitalization is the need of the hour for continuous improvement to avoid disparity between paper-based quality practices and the digitalized engineering value chain. In this research article, authors intend to address the digitalization priorities of quality practices for Small and Medium Enterprises (SMEs) in perspective of adoption of Industry 4.0 technologies. From the literature survey, authors observed that, there is extensive literature available regarding quality and its relevance for continuous improvement, while research insights regarding integration of quality practices in a digital environment are limited and even if considered, they have not been studied holistically. Authors have examined the available research to assimilate the effect of current market trends on quality practices. They have undertaken a survey of prevailing quality maturity in manufacturing SMEs. In current study, authors have understood the need of digitalization of quality processes and propose the priority digital approaches that can guide SMEs with a holistic view of transformation including quality. The key findings based on proposed approaches for adopting digital quality processes are: Firstly, to address the challenges of shorter time-to-market, increased complexity, flexibility and innovation, SMEs need to adopt digitalization across the PDCA quality cycle. Secondly, digitalization of quality practices needs to be considered holistically across value chain. Thirdly, five processes have been prioritized for digitalization based on their adoption maturity i.e. design for quality, compliance, incoming & outgoing goods control, statistical process control and complaint management. Based on finding of this study authors recommend that manufacturing SMEs take cognizance of these findings and adopt digital quality to successfully thrive in the emerging global market.

Suggested Citation

  • Gautam Dutta & Ravinder Kumar & Rahul Sindhwani & Rajesh Kr. Singh, 2021. "Digitalization priorities of quality control processes for SMEs: a conceptual study in perspective of Industry 4.0 adoption," Journal of Intelligent Manufacturing, Springer, vol. 32(6), pages 1679-1698, August.
    • Handle: RePEc:spr:joinma:v:32:y:2021:i:6:d:10.1007_s10845-021-01783-2
    DOI: 10.1007/s10845-021-01783-2
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    2. Behl, Abhishek & Singh, Ramandeep & Pereira, Vijay & Laker, Benjamin, 2023. "Analysis of Industry 4.0 and circular economy enablers: A step towards resilient sustainable operations management," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
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    4. Pedroso, Elsa & Gomes, Carlos F., 2024. "Disentangling the effects of top management on management accounting systems utilization," International Journal of Accounting Information Systems, Elsevier, vol. 53(C).
    5. Marie-Anne Le-Dain & Lamiae Benhayoun & Judy Matthews & Marine Liard, 2023. "Barriers and opportunities of digital servitization for SMEs: the effect of smart Product-Service System business models," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 359-393, March.
    6. Benjamin James Ralph & Marcel Sorger & Karin Hartl & Andreas Schwarz-Gsaxner & Florian Messner & Martin Stockinger, 2022. "Transformation of a rolling mill aggregate to a cyber physical production system: from sensor retrofitting to machine learning," Journal of Intelligent Manufacturing, Springer, vol. 33(2), pages 493-518, February.
    7. Bhatia, Purvee & Diaz-Elsayed, Nancy, 2023. "Facilitating decision-making for the adoption of smart manufacturing technologies by SMEs via fuzzy TOPSIS," International Journal of Production Economics, Elsevier, vol. 257(C).

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