IDEAS home Printed from https://ideas.repec.org/a/spr/joinma/v28y2017i2d10.1007_s10845-014-0976-6.html
   My bibliography  Save this article

Intelligent assembly system for mechanical products and key technology based on internet of things

Author

Listed:
  • Mingzhou Liu

    (Hefei University of Technology)

  • Jing Ma

    (Hefei University of Technology)

  • Ling Lin

    (Hefei University of Technology)

  • Maogen Ge

    (Hefei University of Technology)

  • Qiang Wang

    (Hefei University of Technology)

  • Conghu Liu

    (Hefei University of Technology)

Abstract

The Internet of Things (IoT) has a significant effect on the development of manufacturing technology. Therefore, according to the analysis of the challenges and opportunities faced by manufacturing industry, this study uses the assembly process of mechanical products as the research object and analyzes the characteristics of IoT-based manufacturing systems. To improve the interconnection, perception, efficiency, and intelligence of the assembly system, this study proposes the concept of IoT-enabled intelligent assembly system for mechanical products (IIASMP). The IIASMP framework, which is based on advanced techniques such as information and communication technology, sensor network, and radio-frequency identification, is then presented. Key technologies under this framework, including assembly resources identification, information interaction technology, multi-source data perception and fusion, intelligent assembly agent, and value-added data and dynamic self-adaptive optimization, are described. Finally, the current results of IIASMP are described in the case study. The proposed framework and methods aims to have an important reference value for applying the key technologies and be used widely in the intelligent manufacturing field.

Suggested Citation

  • Mingzhou Liu & Jing Ma & Ling Lin & Maogen Ge & Qiang Wang & Conghu Liu, 2017. "Intelligent assembly system for mechanical products and key technology based on internet of things," Journal of Intelligent Manufacturing, Springer, vol. 28(2), pages 271-299, February.
    • Handle: RePEc:spr:joinma:v:28:y:2017:i:2:d:10.1007_s10845-014-0976-6
    DOI: 10.1007/s10845-014-0976-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10845-014-0976-6
    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/s10845-014-0976-6?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. Ahlem Zayati & Frédérique Biennier & Mohamed Moalla & Youakim Badr, 2012. "Towards lean service bus architecture for industrial integration infrastructure and pull manufacturing strategies," Post-Print hal-02312543, HAL.
    2. Beach, R. & Muhlemann, A. P. & Price, D. H. R. & Paterson, A. & Sharp, J. A., 2000. "A review of manufacturing flexibility," European Journal of Operational Research, Elsevier, vol. 122(1), pages 41-57, April.
    3. Singa Wang Chiu, 2008. "An optimization problem of manufacturing systems with stochastic machine breakdown and rework process," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 24(3), pages 203-219, May.
    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. Markus Epe & Muhammad Azmat & Dewan Md Zahurul Islam & Rameez Khalid, 2024. "Use of Smart Glasses for Boosting Warehouse Efficiency: Implications for Change Management," Logistics, MDPI, vol. 8(4), pages 1-25, October.
    2. D.-Y. Kim & J.-W. Park & S. Baek & K.-B. Park & H.-R. Kim & J.-I. Park & H.-S. Kim & B.-B. Kim & H.-Y. Oh & K. Namgung & W. Baek, 2020. "A modular factory testbed for the rapid reconfiguration of manufacturing systems," Journal of Intelligent Manufacturing, Springer, vol. 31(3), pages 661-680, March.
    3. Zhi Li & Ali Vatankhah Barenji & Jiazhi Jiang & Ray Y. Zhong & Gangyan Xu, 2020. "A mechanism for scheduling multi robot intelligent warehouse system face with dynamic demand," Journal of Intelligent Manufacturing, Springer, vol. 31(2), pages 469-480, February.
    4. Maja Turk & Marko Šimic & Miha Pipan & Niko Herakovič, 2022. "Multi-Criterial Algorithm for the Efficient and Ergonomic Manual Assembly Process," IJERPH, MDPI, vol. 19(6), pages 1-17, March.
    5. Xiang T. R. Kong & Hao Luo & George Q. Huang & Xuan Yang, 2019. "Industrial wearable system: the human-centric empowering technology in Industry 4.0," Journal of Intelligent Manufacturing, Springer, vol. 30(8), pages 2853-2869, December.
    6. Fernando E. Garcia-Muiña & Rocío González-Sánchez & Anna Maria Ferrari & Davide Settembre-Blundo, 2018. "The Paradigms of Industry 4.0 and Circular Economy as Enabling Drivers for the Competitiveness of Businesses and Territories: The Case of an Italian Ceramic Tiles Manufacturing Company," Social Sciences, MDPI, vol. 7(12), pages 1-31, December.
    7. Kung-Jeng Wang & Diwanda Ageng Rizqi & Hong-Phuc Nguyen, 2021. "Skill transfer support model based on deep learning," Journal of Intelligent Manufacturing, Springer, vol. 32(4), pages 1129-1146, April.
    8. Bilal S. A. Alhayani & Haci llhan, 2021. "RETRACTED ARTICLE: Visual sensor intelligent module based image transmission in industrial manufacturing for monitoring and manipulation problems," Journal of Intelligent Manufacturing, Springer, vol. 32(2), pages 597-610, February.
    9. Osterrieder, Philipp & Budde, Lukas & Friedli, Thomas, 2020. "The smart factory as a key construct of industry 4.0: A systematic literature review," International Journal of Production Economics, Elsevier, vol. 221(C).
    10. Yafeng Han & Tetiana Shevchenko & Bernard Yannou & Meisam Ranjbari & Zahra Shams Esfandabadi & Michael Saidani & Ghada Bouillass & Kseniia Bliumska-Danko & Guohou Li, 2023. "Exploring How Digital Technologies Enable a Circular Economy of Products," Sustainability, MDPI, vol. 15(3), pages 1-20, January.
    11. Wai Sze Yip & Suet To & Hongting Zhou, 2022. "Current status, challenges and opportunities of sustainable ultra-precision manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 33(8), pages 2193-2205, December.
    12. Wei Fang & Lianyu Zheng, 2020. "Shop floor data-driven spatial–temporal verification for manual assembly planning," Journal of Intelligent Manufacturing, Springer, vol. 31(4), pages 1003-1018, April.

    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. Chahal, Hardeep & Gupta, Mahesh & Lonial, Subhash & Raina, Swati, 2019. "Operational flexibility-entrepreneurial orientation relationship: Effects and consequences," Journal of Business Research, Elsevier, vol. 105(C), pages 154-167.
    2. Enrico Teich & Thorsten Claus, 2017. "Measurement of Load and Capacity Flexibility in Manufacturing," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(4), pages 291-302, December.
    3. Murphree, Michael & Anderson, John (Andy), 2018. "Countering Overseas Power in Global Value Chains: Information Asymmetries and Subcontracting in the Plastics Industry," Journal of International Management, Elsevier, vol. 24(2), pages 123-136.
    4. Sandra Silva & Jorge Valente & Aurora Teixeira, 2012. "An evolutionary model of industry dynamics and firms’ institutional behavior with job search, bargaining and matching," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 7(1), pages 23-61, May.
    5. Corsten, Hans & Gossinger, Ralf, 2006. "Output flexibility of service enterprises -- an analysis based on production theory," International Journal of Production Economics, Elsevier, vol. 104(2), pages 296-307, December.
    6. Chen, Tsung-Hui & Tsao, Yu-Chung, 2014. "Optimal lot-sizing integration policy under learning and rework effects in a manufacturer–retailer chain," International Journal of Production Economics, Elsevier, vol. 155(C), pages 239-248.
    7. Ana Muriel & Anand Somasundaram & Yongmei Zhang, 2006. "Impact of Partial Manufacturing Flexibility on Production Variability," Manufacturing & Service Operations Management, INFORMS, vol. 8(2), pages 192-205, April.
    8. Yu, Kangkang & Cadeaux, Jack & Luo, Ben Nanfeng, 2015. "Operational flexibility: Review and meta-analysis," International Journal of Production Economics, Elsevier, vol. 169(C), pages 190-202.
    9. Linder, Christian, 2019. "Customer orientation and operations: The role of manufacturing capabilities in small- and medium-sized enterprises," International Journal of Production Economics, Elsevier, vol. 216(C), pages 105-117.
    10. Busch, Timo, 2011. "Organizational adaptation to disruptions in the natural environment: The case of climate change," Scandinavian Journal of Management, Elsevier, vol. 27(4), pages 389-404.
    11. Wahab, M.I.M. & Stoyan, S.J., 2008. "A dynamic approach to measure machine and routing flexibilities of manufacturing systems," International Journal of Production Economics, Elsevier, vol. 113(2), pages 895-913, June.
    12. Candi, Marina & Beltagui, Ahmad, 2019. "Effective use of 3D printing in the innovation process," Technovation, Elsevier, vol. 80, pages 63-73.
    13. Dipankar Bose & A. K. Chatterjee & Samir Barman, 2016. "Towards dominant flexibility configurations in strategic capacity planning under demand uncertainty," OPSEARCH, Springer;Operational Research Society of India, vol. 53(3), pages 604-619, September.
    14. Nicholas G. Hall & Zhixin Liu, 2010. "Capacity Allocation and Scheduling in Supply Chains," Operations Research, INFORMS, vol. 58(6), pages 1711-1725, December.
    15. Ebru K. Bish & Ana Muriel & Stephan Biller, 2005. "Managing Flexible Capacity in a Make-to-Order Environment," Management Science, INFORMS, vol. 51(2), pages 167-180, February.
    16. Correll, David & Suzuki, Yoshinori & Martens, Bobby, 2014. "Biorenewable fuels at the intersection of product and process flexibility: A novel modeling approach and application," International Journal of Production Economics, Elsevier, vol. 150(C), pages 1-8.
    17. Ebru K. Bish & Qiong Wang, 2004. "Optimal Investment Strategies for Flexible Resources, Considering Pricing and Correlated Demands," Operations Research, INFORMS, vol. 52(6), pages 954-964, December.
    18. Bish, Ebru K. & Hong, Seong J., 2006. "Coordinating the resource investment decision for a two-market, price-setting firm," International Journal of Production Economics, Elsevier, vol. 101(1), pages 63-88, May.
    19. Burak R. Uras & Ping Wang, 2017. "Production Flexibility, Misallocation and Total Factor Productivity," NBER Working Papers 23970, National Bureau of Economic Research, Inc.
    20. Farid, Amro M. & Jiang, Bo & Muzhikyan, Aramazd & Youcef-Toumi, Kamal, 2016. "The need for holistic enterprise control assessment methods for the future electricity grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 669-685.

    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:28:y:2017:i:2:d:10.1007_s10845-014-0976-6. 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.