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RFID-enabled track and traceability in job-shop scheduling environment

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  • Chongwatpol, Jongsawas
  • Sharda, Ramesh

Abstract

This study presents an RFID-based traceability approach to improve production scheduling. An in-depth study for a manufacturer is conducted to explore scheduling options enabled by an RFID-based traceability system. We propose a novel information visibility-based scheduling (VBS) rule that utilizes information generated from the real-time traceability systems for tracking work in processes (WIPs), parts and components, and raw materials to adjust production schedules. We then evaluate the performance of this information visibility-based schedule against the classical scheduling rules. The results of the simulation suggest that an RFID-based scheduling rule generates better performance compared to traditional scheduling rules with regard to cycle time, machine utilizations, backlogs, and penalty costs. We also observe that the value of this information visibility is more relevant when the demand varies widely and/or operational disruptions occur.

Suggested Citation

  • Chongwatpol, Jongsawas & Sharda, Ramesh, 2013. "RFID-enabled track and traceability in job-shop scheduling environment," European Journal of Operational Research, Elsevier, vol. 227(3), pages 453-463.
    • Handle: RePEc:eee:ejores:v:227:y:2013:i:3:p:453-463
    DOI: 10.1016/j.ejor.2013.01.009
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    References listed on IDEAS

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    1. Oliver P. Günther & Wolfhard Kletti & Uwe Kubach, 2008. "RFID in Manufacturing," Springer Books, Springer, number 978-3-540-76454-0, January.
    2. Sari, Kazim, 2010. "Exploring the impacts of radio frequency identification (RFID) technology on supply chain performance," European Journal of Operational Research, Elsevier, vol. 207(1), pages 174-183, November.
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    Citations

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    Cited by:

    1. Lili Wang & Bin Hu & Yihang Feng & Yanting Duan & Wuyi Zhang, 2022. "Food supply network disruption and mitigation: an integrated perspective of traceability technology and network structure," Computational and Mathematical Organization Theory, Springer, vol. 28(4), pages 352-389, December.
    2. Muawia Ramadan & Bashir Salah & Mohammed Othman & Arsath Abbasali Ayubali, 2020. "Industry 4.0-Based Real-Time Scheduling and Dispatching in Lean Manufacturing Systems," Sustainability, MDPI, vol. 12(6), pages 1-18, March.
    3. 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.
    4. Ahmed Musa & Al-Amin Abba Dabo, 2016. "A Review of RFID in Supply Chain Management: 2000–2015," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 17(2), pages 189-228, June.
    5. 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).
    6. Zhong, Ray Y. & Huang, George Q. & Lan, Shulin & Dai, Q.Y. & Chen, Xu & Zhang, T., 2015. "A big data approach for logistics trajectory discovery from RFID-enabled production data," International Journal of Production Economics, Elsevier, vol. 165(C), pages 260-272.
    7. Yingfeng Zhang & Dong Xi & Haidong Yang & Fei Tao & Zhe Wang, 2019. "Cloud manufacturing based service encapsulation and optimal configuration method for injection molding machine," Journal of Intelligent Manufacturing, Springer, vol. 30(7), pages 2681-2699, October.
    8. Niraj Kumar Vishvakarma & Rohit Kumar Singh & R. R. K. Sharma, 2022. "Cluster and DEMATEL Analysis of Key RFID Implementation Factors Across Different Organizational Strategies," Global Business Review, International Management Institute, vol. 23(1), pages 176-191, February.
    9. Chongwatpol, Jongsawas, 2015. "Integration of RFID and business analytics for trade show exhibitors," European Journal of Operational Research, Elsevier, vol. 244(2), pages 662-673.
    10. Jiewu Leng & Pingyu Jiang, 2019. "Dynamic scheduling in RFID-driven discrete manufacturing system by using multi-layer network metrics as heuristic information," Journal of Intelligent Manufacturing, Springer, vol. 30(3), pages 979-994, March.
    11. 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).

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