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Bottom-Up Approach based on Internet of things for Order Fulfillment in a Collaborative Warehousing Environment

Author

Listed:
  • Paul J. Reaidy

    (CERAG - Centre d'études et de recherches appliquées à la gestion - UPMF - Université Pierre Mendès France - Grenoble 2 - CNRS - Centre National de la Recherche Scientifique, CNRS - Centre National de la Recherche Scientifique, UGA [2016-2019] - Université Grenoble Alpes [2016-2019])

  • A. Gunasekaran

    (UMASS - University of Massachusetts System)

  • A. Spalanzani

    (CERAG - Centre d'études et de recherches appliquées à la gestion - UGA [2016-2019] - Université Grenoble Alpes [2016-2019])

Abstract

Industrial deployment of the Internet Of Things (IOT) provides development of an ideal platform for decentralized management of warehouses. In this paper, we propose an IOT infrastructure for collaborative warehouse order fulfillment based on RFID, ambient intelligence and multi-agent system. It consists of a physical devices layer, a middleware ambient platform, a multi-agent system and an enterprise resource planning. It integrates a bottom-up approach with decision support mechanisms such as self-organization and negotiation protocols between agents based on "com-peration=competition+cooperation" concept. This approach was selected to improve reaction capabilities of decentralized management of warehouses in a dynamic environment. A collaborative warehouse example was conducted to demonstrate the implementation of the proposed infrastructure.

Suggested Citation

  • Paul J. Reaidy & A. Gunasekaran & A. Spalanzani, 2015. "Bottom-Up Approach based on Internet of things for Order Fulfillment in a Collaborative Warehousing Environment," Post-Print halshs-01374073, HAL.
    • Handle: RePEc:hal:journl:halshs-01374073
    DOI: 10.1016/j.ijpe.2014.02.017
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    Citations

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    Cited by:

    1. Sadia Samar Ali & Rajbir Kaur, 2022. "Exploring the Impact of Technology 4.0 Driven Practice on Warehousing Performance: A Hybrid Approach," Mathematics, MDPI, vol. 10(8), pages 1-22, April.
    2. Delgosha, Mohammad Soltani & Hajiheydari, Nastaran & Talafidaryani, Mojtaba, 2022. "Discovering IoT implications in business and management: A computational thematic analysis," Technovation, Elsevier, vol. 118(C).
    3. Carmen Talavera & Joan R. Sanchis, 2020. "Alliances between For-Profit and Non-Profit Organizations as an Instrument to Implement the Economy for the Common Good," Sustainability, MDPI, vol. 12(22), pages 1-22, November.
    4. Mourad Makaci & Paul J. Reaidy & Karine Evrard Samuel & Valérie Botta-Genoulaz & Thibaud Monteiro, 2017. "Pooled warehouse management : An empirical study," Post-Print hal-01531304, HAL.
    5. Yen Sheng Tsai & Wei-Hsi Hung, 2023. "A low-cost intelligent tracking system for clothing manufacturers," Journal of Intelligent Manufacturing, Springer, vol. 34(2), pages 473-491, February.
    6. Ke Ma & Lichuan Wang & Yan Chen, 2017. "A Collaborative Cloud Service Platform for Realizing Sustainable Make-To-Order Apparel Supply Chain," Sustainability, MDPI, vol. 10(1), pages 1-21, December.
    7. Zhang, Yuankai & Sun, Lijun & Hu, Xiangpei & Zhao, Chen, 2019. "Order consolidation for the last-mile split delivery in online retailing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 309-327.
    8. J. Piet Hausberg & Kirsten Liere-Netheler & Sven Packmohr & Stefanie Pakura & Kristin Vogelsang, 2019. "Research streams on digital transformation from a holistic business perspective: a systematic literature review and citation network analysis," Journal of Business Economics, Springer, vol. 89(8), pages 931-963, December.
    9. Pan Wang & Ricardo Valerdi & Shangming Zhou & Ling Li, 2015. "Introduction: Advances in IoT research and applications," Information Systems Frontiers, Springer, vol. 17(2), pages 239-241, April.
    10. Giannikas, Vaggelis & Lu, Wenrong & Robertson, Brian & McFarlane, Duncan, 2017. "An interventionist strategy for warehouse order picking: Evidence from two case studies," International Journal of Production Economics, Elsevier, vol. 189(C), pages 63-76.
    11. Akhtar, Pervaiz & Khan, Zaheer & Tarba, Shlomo & Jayawickrama, Uchitha, 2018. "The Internet of Things, dynamic data and information processing capabilities, and operational agility," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 307-316.
    12. Abirami Raja Santhi & Padmakumar Muthuswamy, 2022. "Pandemic, War, Natural Calamities, and Sustainability: Industry 4.0 Technologies to Overcome Traditional and Contemporary Supply Chain Challenges," Logistics, MDPI, vol. 6(4), pages 1-32, November.
    13. Kamble, Sachin S. & Gunasekaran, Angappa & Parekh, Harsh & Joshi, Sudhanshu, 2019. "Modeling the internet of things adoption barriers in food retail supply chains," Journal of Retailing and Consumer Services, Elsevier, vol. 48(C), pages 154-168.
    14. Abderahman Rejeb & Karim Rejeb & Imen Zrelli, 2024. "Analyzing Barriers to Internet of Things (IoT) Adoption in Humanitarian Logistics: An ISM–DEMATEL Approach," Logistics, MDPI, vol. 8(2), pages 1-27, April.
    15. Yasaman Mashayekhy & Amir Babaei & Xue-Ming Yuan & Anrong Xue, 2022. "Impact of Internet of Things (IoT) on Inventory Management: A Literature Survey," Logistics, MDPI, vol. 6(2), pages 1-19, May.
    16. Natalia Khan & Wei Deng Solvang & Hao Yu, 2024. "Industrial Internet of Things (IIoT) and Other Industry 4.0 Technologies in Spare Parts Warehousing in the Oil and Gas Industry: A Systematic Literature Review," Logistics, MDPI, vol. 8(1), pages 1-23, February.
    17. Noha Mostafa & Walaa Hamdy & Hisham Alawady, 2019. "Impacts of Internet of Things on Supply Chains: A Framework for Warehousing," Social Sciences, MDPI, vol. 8(3), pages 1-10, March.
    18. Lu, Yang & Papagiannidis, Savvas & Alamanos, Eleftherios, 2018. "Internet of Things: A systematic review of the business literature from the user and organisational perspectives," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 285-297.

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