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Process Planning in Industry 4.0—Current State, Potential and Management of Transformation

Author

Listed:
  • Maja Trstenjak

    (Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Ivana Lucica 5, 10 000 Zagreb, Croatia)

  • Tihomir Opetuk

    (Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Ivana Lucica 5, 10 000 Zagreb, Croatia)

  • Hrvoje Cajner

    (Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Ivana Lucica 5, 10 000 Zagreb, Croatia)

  • Natasa Tosanovic

    (Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Ivana Lucica 5, 10 000 Zagreb, Croatia)

Abstract

The implementation of the Industry 4.0 concept enables the flexibility, modularity and self-optimization of the manufacturing process. Process planning, placed in the value chain between construction and physical manufacturing, therefore, also demands digital transformation, while management of the transformation towards the new digital framework represents one of the most demanding challenges. Continuing the research on its structure and role within the smart factory, the main motivation for this work was to recognize the potential of the digital transformation of process planning elements, and to define the key dimensions that are essential for the readiness factor calculation and later transformational strategy formation, but also to recognize the current level of awareness of the Industry 4.0 concept among the process planners, along with the current use of its elements and key priorities for the transformation. The research has therefore been conducted in 34 Croatian metal machining companies, within which the influence of company size, level of education and familiarity with Industry 4.0 on final results and the stage of development have been investigated. The results have shown that the company size has a significant influence on the development stage and the use of certain elements wherein small and medium enterprises (SMEs) have already implemented certain digital elements, while they also tend to have a better fundamental infrastructure when using complex process planning methods, unlike others, which are still highly traditional. Organization and human resources have been ranked with the highest priority for change, while target goals for hardware and software have been set, with the managerial challenges of transformation defined and discussed.

Suggested Citation

  • Maja Trstenjak & Tihomir Opetuk & Hrvoje Cajner & Natasa Tosanovic, 2020. "Process Planning in Industry 4.0—Current State, Potential and Management of Transformation," Sustainability, MDPI, vol. 12(15), pages 1-25, July.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:15:p:5878-:d:387822
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    References listed on IDEAS

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    1. Peizhi Shi & Qunfen Qi & Yuchu Qin & Paul J. Scott & Xiangqian Jiang, 2020. "A novel learning-based feature recognition method using multiple sectional view representation," Journal of Intelligent Manufacturing, Springer, vol. 31(5), pages 1291-1309, June.
    2. Olumide Emmanuel Oluyisola & Fabio Sgarbossa & Jan Ola Strandhagen, 2020. "Smart Production Planning and Control: Concept, Use-Cases and Sustainability Implications," Sustainability, MDPI, vol. 12(9), pages 1-29, May.
    3. Iva Vuksanović Herceg & Vukašin Kuč & Veljko M. Mijušković & Tomislav Herceg, 2020. "Challenges and Driving Forces for Industry 4.0 Implementation," Sustainability, MDPI, vol. 12(10), pages 1-22, May.
    4. Francesco Facchini & Joanna Oleśków-Szłapka & Luigi Ranieri & Andrea Urbinati, 2019. "A Maturity Model for Logistics 4.0: An Empirical Analysis and a Roadmap for Future Research," Sustainability, MDPI, vol. 12(1), pages 1-18, December.
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    Cited by:

    1. Mingkai Liu & Changxin Liu & Shouting Zhang & Baoyin Liu & Yi Sun & Xun Ge & Xinyu Wang & Hongyan Zhang, 2021. "Research on Industry Development Path Planning of Resource-Rich Regions in China from the Perspective of “Resources, Assets, Capital”," Sustainability, MDPI, vol. 13(7), pages 1-19, April.
    2. Miljenko Mustapić & Maja Trstenjak & Petar Gregurić & Tihomir Opetuk, 2023. "Implementation and Use of Digital, Green and Sustainable Technologies in Internal and External Transport of Manufacturing Companies," Sustainability, MDPI, vol. 15(12), pages 1-25, June.
    3. Da-Seol Jo & Tae-Woong Kim & Jun-Woo Kim, 2020. "Intelligent Rework Process Management System under Smart Factory Environment," Sustainability, MDPI, vol. 12(23), pages 1-17, November.

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