IDEAS home Printed from https://ideas.repec.org/a/spr/joinma/v30y2019i4d10.1007_s10845-017-1335-1.html
   My bibliography  Save this article

A general architecture of a 3D visualization system for shop floor management

Author

Listed:
  • Xiaoming Qian

    (Nanjing University of Aeronautics and Astronautics)

  • Jiachen Tu

    (Nanjing University of Aeronautics and Astronautics)

  • Peihuang Lou

    (Nanjing University of Aeronautics and Astronautics)

Abstract

Currently, challenges for shop floor management are the lack of timely, accurate and consistent information. Production decision-making is constrained to low transparency. The paper proposes a real-time visualization system based on Internet of manufacturing things to fill this gap. The proposed system involves architecture and operation mode of the shop floor real-time visualization management, an information integration framework and related visualization technologies used to optimize the system performance. The system with these visualization and data integration technologies has been applied in the case study and shows the feasibility. It implements the global monitor of manufacturing shop floor and improves the management efficiency. Furthermore, the presented integration method related to the system state and sensor information can process a large number of sensor data and convert them into readable information in real time. This method is beneficial to increase the speed of information integration and reduce system delay.

Suggested Citation

  • Xiaoming Qian & Jiachen Tu & Peihuang Lou, 2019. "A general architecture of a 3D visualization system for shop floor management," Journal of Intelligent Manufacturing, Springer, vol. 30(4), pages 1531-1545, April.
  • Handle: RePEc:spr:joinma:v:30:y:2019:i:4:d:10.1007_s10845-017-1335-1
    DOI: 10.1007/s10845-017-1335-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10845-017-1335-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10845-017-1335-1?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. Doerr, Kenneth H. & Gates, William R. & Mutty, John E., 2006. "A hybrid approach to the valuation of RFID/MEMS technology applied to ordnance inventory," International Journal of Production Economics, Elsevier, vol. 103(2), pages 726-741, October.
    2. Guo, Z.X. & Ngai, E.W.T. & Yang, Can & Liang, Xuedong, 2015. "An RFID-based intelligent decision support system architecture for production monitoring and scheduling in a distributed manufacturing environment," International Journal of Production Economics, Elsevier, vol. 159(C), pages 16-28.
    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. Kamble, Sachin S. & Gunasekaran, Angappa & Ghadge, Abhijeet & Raut, Rakesh, 2020. "A performance measurement system for industry 4.0 enabled smart manufacturing system in SMMEs- A review and empirical investigation," International Journal of Production Economics, Elsevier, vol. 229(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. Zhou, Wei & Piramuthu, Selwyn, 2012. "Manufacturing with item-level RFID information: From macro to micro quality control," International Journal of Production Economics, Elsevier, vol. 135(2), pages 929-938.
    2. Lee, In & Lee, Byoung-Chan, 2010. "An investment evaluation of supply chain RFID technologies: A normative modeling approach," International Journal of Production Economics, Elsevier, vol. 125(2), pages 313-323, June.
    3. Som Sekhar Bhattacharyya & Arvind Sahay & Arunaditya Sahay, 2022. "The Quest for Competitive Advantage: The Role of Technology Depth and Breadth at the Customer Interface," Vikalpa: The Journal for Decision Makers, , vol. 47(4), pages 274-287, December.
    4. Juan Huang & Yuhong Shuai & Qi Liu & Hang Zhou & Zhenggang He, 2018. "Synergy Degree Evaluation Based on Synergetics for Sustainable Logistics Enterprises," Sustainability, MDPI, vol. 10(7), pages 1-18, June.
    5. Wei Wang & Jingjie Chen & Qi Liu & Zhaoxia Guo, 2018. "Green Project Planning with Realistic Multi-Objective Consideration in Developing Sustainable Port," Sustainability, MDPI, vol. 10(7), pages 1-15, July.
    6. Montecchi, Matteo & Plangger, Kirk & West, Douglas C., 2021. "Supply chain transparency: A bibliometric review and research agenda," International Journal of Production Economics, Elsevier, vol. 238(C).
    7. Veera Babu Ramakurthi & Vijaya Kumar Manupati & Leonilde Varela & Goran Putnik, 2023. "Leveraging Blockchain to Support Collaborative Distributed Manufacturing Scheduling," Sustainability, MDPI, vol. 15(4), pages 1-23, February.
    8. Aydin Azizi, 2017. "Introducing a Novel Hybrid Artificial Intelligence Algorithm to Optimize Network of Industrial Applications in Modern Manufacturing," Complexity, Hindawi, vol. 2017, pages 1-18, June.
    9. Sumera Ahmad & Suraya Miskon & Rana Alabdan & Iskander Tlili, 2020. "Towards Sustainable Textile and Apparel Industry: Exploring the Role of Business Intelligence Systems in the Era of Industry 4.0," Sustainability, MDPI, vol. 12(7), pages 1-23, March.
    10. Lee, Lorraine S. & Fiedler, Kirk D. & Smith, Jeffery S., 2008. "Radio frequency identification (RFID) implementation in the service sector: A customer-facing diffusion model," International Journal of Production Economics, Elsevier, vol. 112(2), pages 587-600, April.
    11. Piramuthu, Selwyn & Wochner, Sina & Grunow, Martin, 2014. "Should retail stores also RFID-tag ‘cheap’ items?," European Journal of Operational Research, Elsevier, vol. 233(1), pages 281-291.
    12. De Marco, Alberto & Cagliano, Anna C. & Nervo, Mauro L. & Rafele, Carlo, 2012. "Using System Dynamics to assess the impact of RFID technology on retail operations," International Journal of Production Economics, Elsevier, vol. 135(1), pages 333-344.
    13. Kalaiarasan, Ravi & Olhager, Jan & Agrawal, Tarun Kumar & Wiktorsson, Magnus, 2022. "The ABCDE of supply chain visibility: A systematic literature review and framework," International Journal of Production Economics, Elsevier, vol. 248(C).
    14. Lui, Ariel K.H. & Lo, Chris K.Y. & Ngai, Eric W.T., 2019. "Does mandated RFID affect firm risk? The moderating role of top management team heterogeneity," International Journal of Production Economics, Elsevier, vol. 210(C), pages 84-96.
    15. Chuang Wang & Xu’nan Chen & Abdel-Hamid Ali Soliman & Zhixiang Zhu, 2018. "RFID Based Manufacturing Process of Cloud MES," Future Internet, MDPI, vol. 10(11), pages 1-11, October.
    16. Simonetto, Marco & Sgarbossa, Fabio & Battini, Daria & Govindan, Kannan, 2022. "Closed loop supply chains 4.0: From risks to benefits through advanced technologies. A literature review and research agenda," International Journal of Production Economics, Elsevier, vol. 253(C).
    17. Sarac, Aysegul & Absi, Nabil & Dauzère-Pérès, Stéphane, 2010. "A literature review on the impact of RFID technologies on supply chain management," International Journal of Production Economics, Elsevier, vol. 128(1), pages 77-95, November.
    18. Dai, Hongyan & Ge, Ling & Zhou, Weihua, 2015. "A design method for supply chain traceability systems with aligned interests," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 14-24.
    19. Zhou, Wei & Piramuthu, Selwyn, 2013. "Remanufacturing with RFID item-level information: Optimization, waste reduction and quality improvement," International Journal of Production Economics, Elsevier, vol. 145(2), pages 647-657.
    20. Dimakopoulou, Andriana G. & Pramatari, Katerina C. & Tsekrekos, Andrianos E., 2014. "Applying real options to IT investment evaluation: The case of radio frequency identification (RFID) technology in the supply chain," International Journal of Production Economics, Elsevier, vol. 156(C), pages 191-207.

    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:spr:joinma:v:30:y:2019:i:4:d:10.1007_s10845-017-1335-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.