IDEAS home Printed from https://ideas.repec.org/h/zbw/hiclch/228930.html
   My bibliography  Save this book chapter

Impacts of a smart factory on procurement logistics

In: Data Science and Innovation in Supply Chain Management: How Data Transforms the Value Chain. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 29

Author

Listed:
  • Zander, Bennet
  • Lange, Kerstin
  • Haasis, Hans-Dietrich

Abstract

Purpose: In order to keep up with the automation Smart Factories will bring into the market, procurement logistics has to be redesigned to ensure self-organizing production. The purpose of this paper is to examine the future changes of the procurement processes as well as the further role of logistics service providers in the procurement network with references to the building industry. Methodology: Using an in-depth literature analysis focusing on the needs of a Smart Factory and the state of art of its procurement logistics current gaps are identified. Subsequently, a modified concept for the delivery of the inbound materials is developed. Findings: The outcome shows, that the traditional truck delivery of the needed goods to a Smart Factory fails to deal with the in-house processes. Solutions have to be generated which provide packaging-free transport to move the already unpacked materials to the production lines more quickly. Furthermore, efficiency gains are identified, which can be generated through the newly adapted procurement logistics concept. Originality: To-date, Smart Factory research has predominantly focused on internal production processes, without taking the externally required procurement logistics processes into closer consideration. However, significant changes due to wireless communication technologies can be expected in the ordering, transportation, un-loading and storage of goods.

Suggested Citation

  • Zander, Bennet & Lange, Kerstin & Haasis, Hans-Dietrich, 2020. "Impacts of a smart factory on procurement logistics," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Data Science and Innovation in Supply Chain Management: How Data Transforms the Value Chain. Proceedings of the Hamburg International Conference of Lo, volume 29, pages 459-485, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
  • Handle: RePEc:zbw:hiclch:228930
    DOI: 10.15480/882.3137
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/228930/1/hicl-2020-29-459.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.15480/882.3137?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Büchi, Giacomo & Cugno, Monica & Castagnoli, Rebecca, 2020. "Smart factory performance and Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    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. Zander, Bennet & Lange, Kerstin & Haasis, Hans-Dietrich, 2021. "Designing the data supply chain of a smart construction factory," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Ringle, Christian M. & Blecker, Thorsten (ed.), Adapting to the Future: How Digitalization Shapes Sustainable Logistics and Resilient Supply Chain Management. Proceedings of the Hamburg Internationa, volume 31, pages 41-62, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.

    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. Gilberto Santos & Jose Carlos Sá & Maria João Félix & Luís Barreto & Filipe Carvalho & Manuel Doiro & Kristína Zgodavová & Miladin Stefanović, 2021. "New Needed Quality Management Skills for Quality Managers 4.0," Sustainability, MDPI, vol. 13(11), pages 1-22, May.
    2. Federica Murmura & Laura Bravi & Gilberto Santos, 2021. "Sustainable Process and Product Innovation in the Eyewear Sector: The Role of Industry 4.0 Enabling Technologies," Sustainability, MDPI, vol. 13(1), pages 1-16, January.
    3. Lee, Jeongwon & Hwang, Junseok & Kim, Hana, 2022. "Different government support effects on emerging and mature ICT sectors," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    4. Ghadimi, Pezhman & Donnelly, Oisin & Sar, Kubra & Wang, Chao & Azadnia, Amir Hossein, 2022. "The successful implementation of industry 4.0 in manufacturing: An analysis and prioritization of risks in Irish industry," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    5. Erhan Baran & Tulay Korkusuz Polat, 2022. "Classification of Industry 4.0 for Total Quality Management: A Review," Sustainability, MDPI, vol. 14(6), pages 1-20, March.
    6. Kajikawa, Yuya & Mejia, Cristian & Wu, Mengjia & Zhang, Yi, 2022. "Academic landscape of Technological Forecasting and Social Change through citation network and topic analyses," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    7. Peerally, Jahan Ara & Santiago, Fernando & De Fuentes, Claudia & Moghavvemi, Sedigheh, 2022. "Towards a firm-level technological capability framework to endorse and actualize the Fourth Industrial Revolution in developing countries," Research Policy, Elsevier, vol. 51(10).
    8. Eleonora Di Maria & Marco Bettiol & Mauro Capestro, 2023. "How Italian Fashion Brands Beat COVID-19: Manufacturing, Sustainability, and Digitalization," Sustainability, MDPI, vol. 15(2), pages 1-20, January.
    9. Marco Bettiol & Mauro Capestro & Eleonora Maria & Stefano Micelli, 2021. "Reacting to the COVID-19 pandemic through digital connectivity with customers: the Italian experience," Italian Journal of Marketing, Springer, vol. 2021(4), pages 305-330, December.
    10. Maria C Tavares & Graça Azevedo & Rui P. Marques, 2022. "The Challenges and Opportunities of Era 5.0 for a More Humanistic and Sustainable Society—A Literature Review," Societies, MDPI, vol. 12(6), pages 1-21, October.
    11. Jun Dong & A-Ru-Han Bao & Yao Liu & Xi-Hao Dou & Dong-Ran Liu & Gui-Yuan Xue, 2022. "Dynamic Differential Game Strategy of the Energy Big Data Ecosystem Considering Technological Innovation," Sustainability, MDPI, vol. 14(12), pages 1-24, June.
    12. Majdouline, Ilias & Baz, Jamal El & Jebli, Fedwa, 2022. "Revisiting technological entrepreneurship research: An updated bibliometric analysis of the state of art," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    13. Calış Duman, Meral & Akdemir, Bunyamin, 2021. "A study to determine the effects of industry 4.0 technology components on organizational performance," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    14. Barbara Aquilani & Michela Piccarozzi & Tindara Abbate & Anna Codini, 2020. "The Role of Open Innovation and Value Co-creation in the Challenging Transition from Industry 4.0 to Society 5.0: Toward a Theoretical Framework," Sustainability, MDPI, vol. 12(21), pages 1-21, October.
    15. Shet, Sateesh V. & Pereira, Vijay, 2021. "Proposed managerial competencies for Industry 4.0 – Implications for social sustainability," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    16. Binoy Debnath & Md Shihab Shakur & Fahmida Tanjum & M. Azizur Rahman & Ziaul Haq Adnan, 2022. "Impact of Additive Manufacturing on the Supply Chain of Aerospace Spare Parts Industry—A Review," Logistics, MDPI, vol. 6(2), pages 1-25, April.
    17. Bożena Zwolińska & Jakub Wiercioch, 2023. "Modelling the Reliability of Logistics Flows in a Complex Production System," Energies, MDPI, vol. 16(24), pages 1-22, December.
    18. Cowden, Birton & Tang, Jintong, 2022. "Institutional entrepreneurial orientation: Beyond setting the rules of the game for blockchain technology," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    19. Siltori, Patricia F.S. & Anholon, Rosley & Rampasso, Izabela Simon & Quelhas, Osvaldo L.G. & Santa-Eulalia, Luis A. & Leal Filho, Walter, 2021. "Industry 4.0 and corporate sustainability: An exploratory analysis of possible impacts in the Brazilian context," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    20. Cugno, Monica & Castagnoli, Rebecca & Büchi, Giacomo, 2021. "Openness to Industry 4.0 and performance: The impact of barriers and incentives," Technological Forecasting and Social Change, Elsevier, vol. 168(C).

    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:zbw:hiclch:228930. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://hicl.org/ .

    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.