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Value analysis of location-enabled radio-frequency identification information on delivery chain performance

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Listed:
  • Kim, Jindae
  • Tang, Kaizhi
  • Kumara, Soundar
  • Yee, Shang-Tae
  • Tew, Jeffrey

Abstract

A shipping yard of an automotive assembly plant is one of the key business processes as well as a starting point of outbound logistics, which holds finished vehicles temporarily until their shipment. The shipping yard involves various dynamically changing events and operations associated with vehicle movement, deployment, and shipment. Location-enabled radio-frequency identification tracking of vehicles can significantly improve the performance of delivery operations by facilitating better decision making. This paper analyzes the value of wireless location information for logistic operations during vehicle deployment and load makeup planning (DLMP) using a comprehensive simulation framework that simulates real operations of the yard.

Suggested Citation

  • Kim, Jindae & Tang, Kaizhi & Kumara, Soundar & Yee, Shang-Tae & Tew, Jeffrey, 2008. "Value analysis of location-enabled radio-frequency identification information on delivery chain performance," International Journal of Production Economics, Elsevier, vol. 112(1), pages 403-415, March.
  • Handle: RePEc:eee:proeco:v:112:y:2008:i:1:p:403-415
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    References listed on IDEAS

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    1. Hau L. Lee & Kut C. So & Christopher S. Tang, 2000. "The Value of Information Sharing in a Two-Level Supply Chain," Management Science, INFORMS, vol. 46(5), pages 626-643, May.
    2. Hau Lee & Seungjin Whang, 1999. "Decentralized Multi-Echelon Supply Chains: Incentives and Information," Management Science, INFORMS, vol. 45(5), pages 633-640, May.
    3. Fangruo Chen, 2001. "Market Segmentation, Advanced Demand Information, and Supply Chain Performance," Manufacturing & Service Operations Management, INFORMS, vol. 3(1), pages 53-67, February.
    4. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 1997. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 43(4), pages 546-558, April.
    5. Brandolese, Armando & Brun, Alessandro & Portioli-Staudacher, Alberto, 2000. "A multi-agent approach for the capacity allocation problem," International Journal of Production Economics, Elsevier, vol. 66(3), pages 269-285, July.
    6. Anindya Datta & Igor R. Viguier, 2000. "Handling Sensor Data in Rapidly Changing Environments to Support Soft Real-Time Requirements," INFORMS Journal on Computing, INFORMS, vol. 12(2), pages 84-103, May.
    7. Banerjee, Snehamay & Banerjee, Avijit & Burton, Jonathan & Bistline, William, 2001. "Controlled partial shipments in two-echelon supply chain networks: a simulation study," International Journal of Production Economics, Elsevier, vol. 71(1-3), pages 91-100, May.
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    Citations

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    Cited by:

    1. T. Saikouk & I. Zouaghi & A. Spalanzani, 2011. "Mitigating Supply Chain System Entropy by the Implementation of RFID," Post-Print halshs-00665653, HAL.
    2. Viet, Nguyen Quoc & Behdani, Behzad & Bloemhof, Jacqueline, 2018. "Value of Information to Improve Daily Operations in High-Density Logistics," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 9(1), January.
    3. Yuangyai, Chumpol & Pan, Chung-Yu & Lin, Yi-Jou & Cheng, Chen-Yang, 2015. "Investigating of antenna selection for the adaptive centroid localization systems," International Journal of Production Economics, Elsevier, vol. 167(C), pages 119-127.
    4. Kelepouris, Thomas & McFarlane, Duncan, 2010. "Determining the value of asset location information systems in a manufacturing environment," International Journal of Production Economics, Elsevier, vol. 126(2), pages 324-334, August.
    5. Mona Haji & Laoucine Kerbache & Mahaboob Muhammad & Tareq Al-Ansari, 2020. "Roles of Technology in Improving Perishable Food Supply Chains," Logistics, MDPI, vol. 4(4), pages 1-24, December.
    6. Toni Greif & Nikolai Stein & Christoph M. Flath, 2023. "Information Value Analysis for Real-Time Silo Fill-Level Monitoring," Interfaces, INFORMS, vol. 53(4), pages 283-294, July.
    7. Ferrer, Geraldo & Dew, Nicholas & Apte, Uday, 2010. "When is RFID right for your service?," International Journal of Production Economics, Elsevier, vol. 124(2), pages 414-425, April.
    8. Nilgun Fescioglu-Unver & Sung Hee Choi & Dongmok Sheen & Soundar Kumara, 2015. "RFID in production and service systems: Technology, applications and issues," Information Systems Frontiers, Springer, vol. 17(6), pages 1369-1380, December.
    9. Zhang, Yingfeng & Zhang, Geng & Du, Wei & Wang, Junqiang & Ali, Ebad & Sun, Shudong, 2015. "An optimization method for shopfloor material handling based on real-time and multi-source manufacturing data," International Journal of Production Economics, Elsevier, vol. 165(C), pages 282-292.
    10. 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.
    11. Masoud Zafarzadeh & Magnus Wiktorsson & Jannicke Baalsrud Hauge, 2021. "A Systematic Review on Technologies for Data-Driven Production Logistics: Their Role from a Holistic and Value Creation Perspective," Logistics, MDPI, vol. 5(2), pages 1-32, April.
    12. Kim, Jindae & Ok, Chang-Soo & Kumara, Soundar & Yee, Shang-Tae, 2010. "A market-based approach for dynamic vehicle deployment planning using radio frequency identification (RFID) information," International Journal of Production Economics, Elsevier, vol. 128(1), pages 235-247, November.

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