IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i15p5878-d387822.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/15/5878/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/15/5878/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bo-Rui Yan & Qian-Li Dong & Qian Li & Fahim UI Amin & Jia-Ni Wu, 2021. "A Study on the Coupling and Coordination between Logistics Industry and Economy in the Background of High-Quality Development," Sustainability, MDPI, vol. 13(18), pages 1-24, September.
    2. Seunghoon Lee & Yongju Cho & Young Hoon Lee, 2020. "Injection Mold Production Sustainable Scheduling Using Deep Reinforcement Learning," Sustainability, MDPI, vol. 12(20), pages 1-17, October.
    3. Artur Pollak & Agata Hilarowicz & Maciej Walczak & Damian Gąsiorek, 2020. "A Framework of Action for Implementation of Industry 4.0. an Empirically Based Research," Sustainability, MDPI, vol. 12(14), pages 1-16, July.
    4. Theerasak Nitlarp & Supaporn Kiattisin, 2022. "The Impact Factors of Industry 4.0 on ESG in the Energy Sector," Sustainability, MDPI, vol. 14(15), pages 1-19, July.
    5. Titov Sergei & Trachuk Arkady & Linder Natalya & RD Pathak & Danny Samson & Zafar Husain & S Sushil, 2023. "Digital transformation enablers in high-tech and low-tech companies: A comparative analysis," Australian Journal of Management, Australian School of Business, vol. 48(4), pages 801-843, November.
    6. Xinhua Yao & Di Wang & Tao Yu & Congcong Luan & Jianzhong Fu, 2023. "A machining feature recognition approach based on hierarchical neural network for multi-feature point cloud models," Journal of Intelligent Manufacturing, Springer, vol. 34(6), pages 2599-2610, August.
    7. Syed Hammad Mian & Bashir Salah & Wadea Ameen & Khaja Moiduddin & Hisham Alkhalefah, 2020. "Adapting Universities for Sustainability Education in Industry 4.0: Channel of Challenges and Opportunities," Sustainability, MDPI, vol. 12(15), pages 1-33, July.
    8. Masood Fathi & Amir Nourmohammadi & Morteza Ghobakhloo & Milad Yousefi, 2020. "Production Sustainability via Supermarket Location Optimization in Assembly Lines," Sustainability, MDPI, vol. 12(11), pages 1-15, June.
    9. Jan Zavadsky & Zuzana Zavadska & Katarzyna Szczepanska-Woszczyna, 2021. "Quantification of the Process Improvement Exigency Related to Industry 4.0," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 4), pages 65-86.
    10. Daniel Teso-Fz-Betoño & Ekaitz Zulueta & Ander Sánchez-Chica & Unai Fernandez-Gamiz & Aitor Saenz-Aguirre, 2020. "Semantic Segmentation to Develop an Indoor Navigation System for an Autonomous Mobile Robot," Mathematics, MDPI, vol. 8(5), pages 1-19, May.
    11. Hail Jung & Jinsu Jeon & Dahui Choi & Jung-Ywn Park, 2021. "Application of Machine Learning Techniques in Injection Molding Quality Prediction: Implications on Sustainable Manufacturing Industry," Sustainability, MDPI, vol. 13(8), pages 1-16, April.
    12. Shirine El Zaatari & Yuqi Wang & Yudie Hu & Weidong Li, 2022. "An improved approach of task-parameterized learning from demonstrations for cobots in dynamic manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 33(5), pages 1503-1519, June.
    13. Jesus Gonzalez-Feliu & Mario Chong & Jorge Vargas-Florez & Irineu de Brito & Carlos Osorio-Ramirez & Eric Piatyszek & Renato Quiliche Altamirano, 2020. "The Maturity of Humanitarian Logistics against Recurrent Crises," Social Sciences, MDPI, vol. 9(6), pages 1-22, May.
    14. Szymon Jarosz & Mariusz Soltysik & Malgorzata Zakrzewska, 2020. "The Fourth Industrial Revolution in the Light of Social and Competence Changes," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 530-548.
    15. Anupama Prashar, 2023. "Title: production planning and control in industry 4.0 environment: a morphological analysis of literature and research agenda," Journal of Intelligent Manufacturing, Springer, vol. 34(6), pages 2513-2528, August.
    16. Koopo Kwon & Jaeryong So, 2023. "Future Smart Logistics Technology Based on Patent Analysis Using Temporal Network," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
    17. Cihan Ünal & Cemil Sungur & Hakan Yildirim, 2022. "Application of the Maturity Model in Industrial Corporations," Sustainability, MDPI, vol. 14(15), pages 1-25, August.
    18. Radosław Drozd & Radosław Wolniak, 2021. "Metrisable assessment of the course of stream-systemic processes in vector form in industry 4.0," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(6), pages 2161-2176, December.
    19. Roland Zs. Szabo & Iva Vuksanović Herceg & Robert Hanák & Lilla Hortovanyi & Anita Romanová & Marian Mocan & Dragan Djuričin, 2020. "Industry 4.0 Implementation in B2B Companies: Cross-Country Empirical Evidence on Digital Transformation in the CEE Region," Sustainability, MDPI, vol. 12(22), pages 1-20, November.
    20. Radosław Miśkiewicz & Radosław Wolniak, 2020. "Practical Application of the Industry 4.0 Concept in a Steel Company," Sustainability, MDPI, vol. 12(14), pages 1-21, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2020:i:15:p:5878-:d:387822. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.