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An optimization method for shopfloor material handling based on real-time and multi-source manufacturing data

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  • Zhang, Yingfeng
  • Zhang, Geng
  • Du, Wei
  • Wang, Junqiang
  • Ali, Ebad
  • Sun, Shudong

Abstract

With the wide use of auto-ID devices in manufacturing shop floors, it creates a huge number of real-time and multi-source manufacturing data. To make a better decision based on the real-time and multi-source manufacturing data, in this paper, a dynamical optimization model for shopfloor material handling (DOM-SMH) is designed. Contrast to a traditional material handling method, each trolley is an active entity which will request the transport tasks. Then, the optimal transport tasks will be assigned to the optimal trolleys according to their real-time status. The key technologies such as intelligent trolley, real-time information exchange and optimization for material handling tasks are designed and developed to implement the dynamical optimization model. The presented method is demonstrated by a case study, and its effectiveness is also analyzed and discussed through the empty-loading ratio and total distance.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:proeco:v:165:y:2015:i:c:p:282-292
    DOI: 10.1016/j.ijpe.2014.12.029
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    1. Zografos, Konstantinos G. & Androutsopoulos, Konstantinos N., 2004. "A heuristic algorithm for solving hazardous materials distribution problems," European Journal of Operational Research, Elsevier, vol. 152(2), pages 507-519, January.
    2. Chakravorty, Satya S., 2009. "Improving distribution operations: Implementation of material handling systems," International Journal of Production Economics, Elsevier, vol. 122(1), pages 89-106, November.
    3. Vaidya, Omkarprasad S. & Kumar, Sushil, 2006. "Analytic hierarchy process: An overview of applications," European Journal of Operational Research, Elsevier, vol. 169(1), pages 1-29, February.
    4. 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.
    5. Ala-Risku, Timo & Karkkainen, Mikko, 2006. "Material delivery problems in construction projects: A possible solution," International Journal of Production Economics, Elsevier, vol. 104(1), pages 19-29, November.
    6. Marius M. Solomon, 1987. "Algorithms for the Vehicle Routing and Scheduling Problems with Time Window Constraints," Operations Research, INFORMS, vol. 35(2), pages 254-265, April.
    7. Khayat, Ghada El & Langevin, Andre & Riopel, Diane, 2006. "Integrated production and material handling scheduling using mathematical programming and constraint programming," European Journal of Operational Research, Elsevier, vol. 175(3), pages 1818-1832, December.
    8. 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.
    9. Asef-Vaziri, Ardavan & Laporte, Gilbert & Ortiz, Robert, 2007. "Exact and heuristic procedures for the material handling circular flow path design problem," European Journal of Operational Research, Elsevier, vol. 176(2), pages 707-726, January.
    10. Ferrer, Geraldo & Heath, Susan K. & Dew, Nicholas, 2011. "An RFID application in large job shop remanufacturing operations," International Journal of Production Economics, Elsevier, vol. 133(2), pages 612-621, October.
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    Cited by:

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    3. Tan, Weng Chun & Sidhu, Manjit Singh, 2022. "Review of RFID and IoT integration in supply chain management," Operations Research Perspectives, Elsevier, vol. 9(C).
    4. Ting Qu & Matthias Thürer & Junhao Wang & Zongzhong Wang & Huan Fu & Congdong Li & George Q. Huang, 2017. "System dynamics analysis for an Internet-of-Things-enabled production logistics system," International Journal of Production Research, Taylor & Francis Journals, vol. 55(9), pages 2622-2649, May.
    5. Yingfeng Zhang & Sichao Liu & Yang Liu & Rui Li, 2016. "Smart box-enabled product–service system for cloud logistics," International Journal of Production Research, Taylor & Francis Journals, vol. 54(22), pages 6693-6706, November.
    6. Morett, Emilio & Tappia, Elena & Melacini, Marco, 2021. "Scheduling mobile robots in part feeding systems," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Ringle, Christian M. & Blecker, Thorsten (ed.), Adapting to the Future: How Digitalization Shapes Sustainable Logistics and Resilient Supply Chain Management. Proceedings of the Hamburg Internationa, volume 31, pages 129-149, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.

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