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Product Segmentation and Sustainability in Customized Assembly with Respect to the Basic Elements of Industry 4.0

Author

Listed:
  • Branislav Micieta

    (Faculty of Mechanical Engineering, Department of Industrial Engineering, University of Zilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia)

  • Vladimira Binasova

    (Faculty of Mechanical Engineering, Department of Industrial Engineering, University of Zilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia)

  • Radovan Lieskovsky

    (Faculty of Mechanical Engineering, Department of Industrial Engineering, University of Zilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia)

  • Martin Krajcovic

    (Faculty of Mechanical Engineering, Department of Industrial Engineering, University of Zilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia)

  • Luboslav Dulina

    (Faculty of Mechanical Engineering, Department of Industrial Engineering, University of Zilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia)

Abstract

Sustainable manufacturing is not just about manufacturing, but also products and services. In the area of custom production processes, there may also be circumstances of organizational management where compliance with labor productivity and the due-date principle is problematic. Similar products with different operating times cause the throughput of assembly lines to slow down, increase number of works in progress (WIP), and increase productivity waste. It is possible to reduce this impact through various productivity-enhancing methods and innovations. This paper presents an innovative approach to product segmentation in the assembly phase of custom manufacturing, and a proposal for a new segmentation procedure that will allow significantly better integration of products into existing assembly processes without negatively impacting the company’s production indicators. The scientific problem was defined on the basis that extending existing segmentation by the third dimension of operating times allows products in MTO (made to order) environments to be divided into families with approximately equal operating times. This will increase assembly efficiency in existing medium to large companies without large investments in the development and adaptation of assembly process products. The contributions of this work relate mainly to simple adaptations to existing processes in medium-sized businesses. The proposed solution respects the basic elements of Industry 4.0.

Suggested Citation

  • Branislav Micieta & Vladimira Binasova & Radovan Lieskovsky & Martin Krajcovic & Luboslav Dulina, 2019. "Product Segmentation and Sustainability in Customized Assembly with Respect to the Basic Elements of Industry 4.0," Sustainability, MDPI, vol. 11(21), pages 1-20, October.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:21:p:6057-:d:282221
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    References listed on IDEAS

    as
    1. Patrik Grznár & Milan Gregor & Štefan Mozol & Martin Krajčovič & Ľuboslav Dulina & Martin Gašo & Michal Major, 2019. "A System to Determine the Optimal Work-in-Progress Inventory Stored in Interoperation Manufacturing Buffers," Sustainability, MDPI, vol. 11(14), pages 1-36, July.
    2. Martin Krajčovič & Viktor Hančinský & Ľuboslav Dulina & Patrik Grznár & Martin Gašo & Juraj Vaculík, 2019. "Parameter Setting for a Genetic Algorithm Layout Planner as a Toll of Sustainable Manufacturing," Sustainability, MDPI, vol. 11(7), pages 1-26, April.
    3. Martin Gašo & Martin Krajčovič & Ľuboslav Dulina & Patrik Grznár & Juraj Vaculík, 2019. "Methodology of Creating and Sustainable Applying of Stereoscopic Recording in the Industrial Engineering Sector," Sustainability, MDPI, vol. 11(8), pages 1-22, April.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Masood Fathi & Morteza Ghobakhloo, 2020. "Enabling Mass Customization and Manufacturing Sustainability in Industry 4.0 Context: A Novel Heuristic Algorithm for in-Plant Material Supply Optimization," Sustainability, MDPI, vol. 12(16), pages 1-15, August.
    2. Viera Sukalova & Zuzana Stofkova & Jana Stofkova, 2022. "Human Resource Management in Sustainable Development," Sustainability, MDPI, vol. 14(21), pages 1-16, November.
    3. Andreas Felsberger & Gerald Reiner, 2020. "Sustainable Industry 4.0 in Production and Operations Management: A Systematic Literature Review," Sustainability, MDPI, vol. 12(19), pages 1-39, September.
    4. Houyem Zrelli & Abdullah H. Alsharif & Iskander Tlili, 2020. "Malmquist Indexes of Productivity Change in Tunisian Manufacturing Industries," Sustainability, MDPI, vol. 12(4), pages 1-20, February.
    5. Jana Stofkova & Adela Poliakova & Katarina Repkova Stofkova & Peter Malega & Matej Krejnus & Vladimira Binasova & Naqibullah Daneshjo, 2022. "Digital Skills as a Significant Factor of Human Resources Development," Sustainability, MDPI, vol. 14(20), pages 1-18, October.

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