IDEAS home Printed from https://ideas.repec.org/a/gam/jjopen/v4y2021i2p12-153d559487.html
   My bibliography  Save this article

The Importance of Implementing Cyber Physical Systems to Acquire Real-Time Data and Indicators

Author

Listed:
  • Paula Morella

    (Design and Manufacturing Engineering Department, Universidad de Zaragoza, 50018 Zaragoza, Spain)

  • María Pilar Lambán

    (Design and Manufacturing Engineering Department, Universidad de Zaragoza, 50018 Zaragoza, Spain)

  • Jesús Antonio Royo

    (Design and Manufacturing Engineering Department, Universidad de Zaragoza, 50018 Zaragoza, Spain)

  • Juan Carlos Sánchez

    (Smart Systems, Tecnalia, 20009 Donostia-San Sebastian, Spain)

Abstract

Among the new trends in technology that have emerged through the Industry 4.0, Cyber Physical Systems (CPS) and Internet of Things (IoT) are crucial for the real-time data acquisition. This data acquisition, together with its transformation in valuable information, are indispensable for the development of real-time indicators. Moreover, real-time indicators provide companies with a competitive advantage over the competition since they enhance the calculus and speed up the decision-making and failure detection. Our research highlights the advantages of real-time data acquisition for supply chains, developing indicators that would be impossible to achieve with traditional systems, improving the accuracy of the existing ones and enhancing the real-time decision-making. Moreover, it brings out the importance of integrating technologies 4.0 in industry, in this case, CPS and IoT, and establishes the main points for a future research agenda of this topic.

Suggested Citation

  • Paula Morella & María Pilar Lambán & Jesús Antonio Royo & Juan Carlos Sánchez, 2021. "The Importance of Implementing Cyber Physical Systems to Acquire Real-Time Data and Indicators," J, MDPI, vol. 4(2), pages 1-7, May.
    • Handle: RePEc:gam:jjopen:v:4:y:2021:i:2:p:12-153:d:559487
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2571-8800/4/2/12/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2571-8800/4/2/12/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Li, Gang & Yang, Hongjiao & Sun, Linyan & Sohal, Amrik S., 2009. "The impact of IT implementation on supply chain integration and performance," International Journal of Production Economics, Elsevier, vol. 120(1), pages 125-138, July.
    2. de Sousa Jabbour, Ana Beatriz Lopes & Jabbour, Charbel Jose Chiappetta & Foropon, Cyril & Godinho Filho, Moacir, 2018. "When titans meet – Can industry 4.0 revolutionise the environmentally-sustainable manufacturing wave? The role of critical success factors," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 18-25.
    3. Paula Morella & María Pilar Lambán & Jesús Royo & Juan Carlos Sánchez & Lisbeth del Carmen Ng Corrales, 2020. "Development of a New Green Indicator and Its Implementation in a Cyber–Physical System for a Green Supply Chain," Sustainability, MDPI, vol. 12(20), pages 1-19, October.
    4. Maroua Nouiri & Damien Trentesaux & Abdelghani Bekrar, 2019. "Towards Energy Efficient Scheduling of Manufacturing Systems through Collaboration between Cyber Physical Production and Energy Systems," Energies, MDPI, vol. 12(23), pages 1-30, November.
    Full references (including those not matched with items on IDEAS)

    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. 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).
    2. Acharya, Abhilash & Singh, Sanjay Kumar & Pereira, Vijay & Singh, Poonam, 2018. "Big data, knowledge co-creation and decision making in fashion industry," International Journal of Information Management, Elsevier, vol. 42(C), pages 90-101.
    3. Bendre, Abhijit Bhagwan & Nielsen, Lars Relund, 2013. "Inventory control in a lost-sales setting with information about supply lead times," International Journal of Production Economics, Elsevier, vol. 142(2), pages 324-331.
    4. Ni, Linglin & Wang, Xiaokun (Cara) & Zhang, Dapeng, 2016. "Impacts of information technology and urbanization on less-than-truckload freight flows in China: An analysis considering spatial effects," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 12-25.
    5. 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.
    6. Yang Liu & Moses Olabhele Esangbedo & Sijun Bai, 2019. "Adaptability of Inter-Organizational Information Systems Based on Organizational Identity: Some Factors of Partnership for the Goals," Sustainability, MDPI, vol. 11(5), pages 1-20, March.
    7. 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).
    8. Qinglan Liu & Adriana Hofmann Trevisan & Miying Yang & Janaina Mascarenhas, 2022. "A framework of digital technologies for the circular economy: Digital functions and mechanisms," Business Strategy and the Environment, Wiley Blackwell, vol. 31(5), pages 2171-2192, July.
    9. César Martínez-Olvera & Jaime Mora-Vargas, 2019. "A Comprehensive Framework for the Analysis of Industry 4.0 Value Domains," Sustainability, MDPI, vol. 11(10), pages 1-21, May.
    10. Li, Siyu & Huo, Baofeng & Han, Zhaojun, 2022. "A literature review towards theories and conceptual models of empirical studies on supply chain integration and performance," International Journal of Production Economics, Elsevier, vol. 250(C).
    11. He, Yuanqiong & Lai, Kin Keung, 2012. "Supply chain integration and service oriented transformation: Evidence from Chinese equipment manufacturers," International Journal of Production Economics, Elsevier, vol. 135(2), pages 791-799.
    12. Borna Dasović & Uroš Klanšek, 2022. "A Review of Energy-Efficient and Sustainable Construction Scheduling Supported with Optimization Tools," Energies, MDPI, vol. 15(7), pages 1-17, March.
    13. Su-Yol Lee, 2021. "Sustainable Supply Chain Management, Digital-Based Supply Chain Integration, and Firm Performance: A Cross-Country Empirical Comparison between South Korea and Vietnam," Sustainability, MDPI, vol. 13(13), pages 1-13, June.
    14. Asterios Stroumpoulis & Evangelia Kopanaki & George Karaganis, 2021. "Examining the Relationship between Information Systems, Sustainable SCM, and Competitive Advantage," Sustainability, MDPI, vol. 13(21), pages 1-21, October.
    15. Reem M. Mashat & Safinaz H. Abourokbah & Mohammad Asif Salam, 2024. "Impact of Internet of Things Adoption on Organizational Performance: A Mediating Analysis of Supply Chain Integration, Performance, and Competitive Advantage," Sustainability, MDPI, vol. 16(6), pages 1-25, March.
    16. Silvia H. Bonilla & Helton R. O. Silva & Marcia Terra da Silva & Rodrigo Franco Gonçalves & José B. Sacomano, 2018. "Industry 4.0 and Sustainability Implications: A Scenario-Based Analysis of the Impacts and Challenges," Sustainability, MDPI, vol. 10(10), pages 1-24, October.
    17. Francesco Mercuri & Gaetano della Corte & Federica Ricci, 2021. "Blockchain Technology and Sustainable Business Models: A Case Study of Devoleum," Sustainability, MDPI, vol. 13(10), pages 1-14, May.
    18. Luciano Novais & Juan Manuel Maqueira & Ángel Ortiz & Sebastián Bruque, 2021. "Strategic simulation models as a new methodological approach: an application to information technologies integration, lean/just-in-time and lead-time," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(4), pages 1185-1218, December.
    19. Muhammad Ashraf & Mohammad Asif Khan & Noor Ismawati Jaafar & Ainin Sulaiman, 2015. "The impact of Involvement in CRM Initiative on Inter-functional Integration and Organizational Performance: Evidence from Pakistani Enterprises," Information Management and Business Review, AMH International, vol. 7(1), pages 29-40.
    20. Xiaoyan Zhang & Rita Yi Man Li & Zhizhong Sun & Xin Li & Sarminah Samad & Ubaldo Comite & Liviu Marian Matac, 2022. "Supply Chain Integration and Its Impact on Operating Performance: Evidence from Chinese Online Companies," Sustainability, MDPI, vol. 14(21), pages 1-16, November.

    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:jjopen:v:4:y:2021:i:2:p:12-153:d:559487. 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.