IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v228y2020ics0925527320302115.html
   My bibliography  Save this article

Method to assess the adherence of internal logistics equipment to the concept of CPS for industry 4.0

Author

Listed:
  • Matana, Gleison
  • Simon, Alexandre
  • Filho, Moacir Godinho
  • Helleno, André

Abstract

Industry 4.0 foresees benefits to companies and is supported by technologies such as Cyber-Physical Systems (CPS), Internet of Things (IoT), Internet of Services (IoS), among others. CPS, one of Industry 4.0's key technologies, can be applied in many areas including health, mobility, production and logistics. The partial or total incorporation of CPS technologies into internal logistics equipment can present such advantages to businesses as reductions in logistics operational costs and in production cycle times. Although this application is still under development, several manufacturers already offer to the market internal logistics equipment incorporating CPS technologies, presenting them as fully capable of operating in the Industry 4.0 environment. However, it is observed that there is no effective method of assessing whether these devices effectively integrate such technologies and at what level this integration occurs. This manuscript adopted the design science research methodology to propose a method for assessing the adherence of internal logistics equipment to the CPS concept for Industry 4.0. The method is based on a guide for collecting data with questions that identify information about the CPS technologies embedded in the internal logistics equipment, associated with a tool for processing this information. The tool is supported by a properly trained artificial neural network that measures the equipment's adherence to the CPS concept. The method has proved to be adequate because in its application it assessed fifteen equipment, from worldwide-renowned manufacturers, with an error of less than 2%.

Suggested Citation

  • Matana, Gleison & Simon, Alexandre & Filho, Moacir Godinho & Helleno, André, 2020. "Method to assess the adherence of internal logistics equipment to the concept of CPS for industry 4.0," International Journal of Production Economics, Elsevier, vol. 228(C).
    • Handle: RePEc:eee:proeco:v:228:y:2020:i:c:s0925527320302115
    DOI: 10.1016/j.ijpe.2020.107845
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527320302115
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijpe.2020.107845?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yavas, Volkan & Ozkan-Ozen, Yesim Deniz, 2020. "Logistics centers in the new industrial era: A proposed framework for logistics center 4.0," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 135(C).
    2. Dalenogare, Lucas Santos & Benitez, Guilherme Brittes & Ayala, Néstor Fabián & Frank, Alejandro Germán, 2018. "The expected contribution of Industry 4.0 technologies for industrial performance," International Journal of Production Economics, Elsevier, vol. 204(C), pages 383-394.
    3. Frank, Alejandro Germán & Dalenogare, Lucas Santos & Ayala, Néstor Fabián, 2019. "Industry 4.0 technologies: Implementation patterns in manufacturing companies," International Journal of Production Economics, Elsevier, vol. 210(C), pages 15-26.
    4. Chen, Serena H. & Jakeman, Anthony J. & Norton, John P., 2008. "Artificial Intelligence techniques: An introduction to their use for modelling environmental systems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 379-400.
    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. Muhammad Hamza Naseem & Jiaqi Yang, 2021. "Role of Industry 4.0 in Supply Chains Sustainability: A Systematic Literature Review," Sustainability, MDPI, vol. 13(17), pages 1-23, August.
    2. Monshizadeh, Fatemeh & Sadeghi Moghadam, Mohammad Reza & Mansouri, Taha & Kumar, Maneesh, 2023. "Developing an industry 4.0 readiness model using fuzzy cognitive maps approach," International Journal of Production Economics, Elsevier, vol. 255(C).
    3. Burak Eldem & Aldona Kluczek & Jan Bagiński, 2022. "The COVID-19 Impact on Supply Chain Operations of Automotive Industry: A Case Study of Sustainability 4.0 Based on Sense–Adapt–Transform Framework," Sustainability, MDPI, vol. 14(10), pages 1-32, May.
    4. Biswas, Indranil & Singh, Gurmeet & Tiwari, Sunil & Choi, Tsan-Ming & Pethe, Shivanee, 2024. "Managing Industry 4.0 supply chains with innovative and traditional products: Contract cessation points and value of information," European Journal of Operational Research, Elsevier, vol. 316(2), pages 539-555.
    5. Usama Awan & Robert Sroufe & Karoly Bozan, 2022. "Designing Value Chains for Industry 4.0 and a Circular Economy: A Review of the Literature," Sustainability, MDPI, vol. 14(12), pages 1-20, June.
    6. Virmani, Naveen & Sharma, Shikha & Kumar, Anil & Luthra, Sunil, 2023. "Adoption of industry 4.0 evidence in emerging economy: Behavioral reasoning theory perspective," Technological Forecasting and Social Change, Elsevier, vol. 188(C).

    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. Tortorella, Guilherme Luz & Narayanamurthy, Gopalakrishnan & Thurer, Matthias, 2021. "Identifying pathways to a high-performing lean automation implementation: An empirical study in the manufacturing industry," International Journal of Production Economics, Elsevier, vol. 231(C).
    2. Ghannouchi, Imen, 2023. "Examining the dynamic nexus between industry 4.0 technologies and sustainable economy: New insights from empirical evidence using GMM estimator across 20 OECD nations," Technology in Society, Elsevier, vol. 75(C).
    3. Li, Ying & Dai, Jing & Cui, Li, 2020. "The impact of digital technologies on economic and environmental performance in the context of industry 4.0: A moderated mediation model," International Journal of Production Economics, Elsevier, vol. 229(C).
    4. Xi, Mengjie & Liu, Yang & Fang, Wei & Feng, Taiwen, 2024. "Intelligent manufacturing for strengthening operational resilience during the COVID-19 pandemic: A dynamic capability theory perspective," International Journal of Production Economics, Elsevier, vol. 267(C).
    5. Menti, Federica & Romero, David & Jacobsen, Peter, 2023. "A technology assessment and implementation model for evaluating socio-cultural and technical factors for the successful deployment of Logistics 4.0 technologies," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    6. Bai, Chunguang & Dallasega, Patrick & Orzes, Guido & Sarkis, Joseph, 2020. "Industry 4.0 technologies assessment: A sustainability perspective," International Journal of Production Economics, Elsevier, vol. 229(C).
    7. Bianco, Débora & Bueno, Adauto & Godinho Filho, Moacir & Latan, Hengky & Miller Devós Ganga, Gilberto & Frank, Alejandro G. & Chiappetta Jabbour, Charbel Jose, 2023. "The role of Industry 4.0 in developing resilience for manufacturing companies during COVID-19," International Journal of Production Economics, Elsevier, vol. 256(C).
    8. Tao, Zhibin & Chao, Jiaxiao, 2024. "Unlocking new opportunities in the industry 4.0 era, exploring the critical impact of digital technology on sustainable performance and the mediating role of GSCM practices," Innovation and Green Development, Elsevier, vol. 3(3).
    9. Bokrantz, Jon & Skoogh, Anders & Berlin, Cecilia & Wuest, Thorsten & Stahre, Johan, 2020. "Smart Maintenance: a research agenda for industrial maintenance management," International Journal of Production Economics, Elsevier, vol. 224(C).
    10. 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).
    11. 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).
    12. Cuesta-Valiño, Pedro & Gutiérrez-Rodríguez, Pablo & Núnez-Barriopedro, Estela & García-Henche, Blanca, 2023. "Strategic orientation towards digitization to improve supermarket loyalty in an omnichannel context," Journal of Business Research, Elsevier, vol. 156(C).
    13. Gillani, Fatima & Chatha, Kamran Ali & Sadiq Jajja, Muhammad Shakeel & Farooq, Sami, 2020. "Implementation of digital manufacturing technologies: Antecedents and consequences," International Journal of Production Economics, Elsevier, vol. 229(C).
    14. Barbieri, Paolo & Boffelli, Albachiara & Elia, Stefano & Fratocchi, Luciano & Kalchschmidt, Matteo, 2022. "How does Industry 4.0 affect international exposure? The interplay between firm innovation and home-country policies in post-offshoring relocation decisions," International Business Review, Elsevier, vol. 31(4).
    15. Culot, Giovanna & Nassimbeni, Guido & Orzes, Guido & Sartor, Marco, 2020. "Behind the definition of Industry 4.0: Analysis and open questions," International Journal of Production Economics, Elsevier, vol. 226(C).
    16. Raj, Alok & Dwivedi, Gourav & Sharma, Ankit & Lopes de Sousa Jabbour, Ana Beatriz & Rajak, Sonu, 2020. "Barriers to the adoption of industry 4.0 technologies in the manufacturing sector: An inter-country comparative perspective," International Journal of Production Economics, Elsevier, vol. 224(C).
    17. 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).
    18. Kahle, Júlia Hofmeister & Marcon, Érico & Ghezzi, Antonio & Frank, Alejandro G., 2020. "Smart Products value creation in SMEs innovation ecosystems," Technological Forecasting and Social Change, Elsevier, vol. 156(C).
    19. Kristoffersen, Eivind & Blomsma, Fenna & Mikalef, Patrick & Li, Jingyue, 2020. "The smart circular economy: A digital-enabled circular strategies framework for manufacturing companies," Journal of Business Research, Elsevier, vol. 120(C), pages 241-261.
    20. Marcon, Érico & Le Dain, Marie-Anne & Frank, Alejandro G., 2022. "Designing business models for Industry 4.0 technologies provision: Changes in business dimensions through digital transformation," Technological Forecasting and Social Change, Elsevier, vol. 185(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:eee:proeco:v:228:y:2020:i:c:s0925527320302115. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    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.