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Cloud Material Handling Systems: Conceptual Model and Cloud-Based Scheduling of Handling Activities

In: Scheduling in Industry 4.0 and Cloud Manufacturing

Author

Listed:
  • Fabio Sgarbossa

    (NTNU—Norwegian University of Science and Technology)

  • Mirco Peron

    (NTNU—Norwegian University of Science and Technology)

  • Giuseppe Fragapane

    (NTNU—Norwegian University of Science and Technology)

Abstract

Nowadays, the implementation of cloud manufacturing technologies epitomizes the avant-garde in production systems. This affects several aspects of the management of these production systems, in particular scheduling activities, due to the possibility provided by cloud manufacturing of having real-time information about the stages of a product life cycle and about the status of all services. However, so far, cloud manufacturing has mainly focused on machines, with limited interest in material handling systems. This shortfall has been addressed in this study, where a new material-handling paradigm, called Cloud Material Handling System (CMHS) and developed in the Logistics 4.0 Lab at NTNU (Norway), has been introduced. With CMHS, the scheduling of the Material Handling Modules (MHMs) can be optimized, increasing the flexibility and productivity of the overall manufacturing system. To achieve this, the integration of advanced industry 4.0 technologies such as Internet of Things (IoT), and in particular Indoor Positioning Technologies (IPT), Cloud Computing, Machine Learning (ML), and Artificial Intelligence (AI), is required. In fact, based on the relevant information provided on the cloud platform by IPT and IoT for each product, called Smart Object (SO) (position, physical characteristics and so on), an Intelligent Cognitive Engine (ICE) can use ML and AI to decide, in real time, which MHM is most suitable for carrying out the tasks required by these products based on a compatibility matrix, on their attributes, and on the defined scheduling procedure.

Suggested Citation

  • Fabio Sgarbossa & Mirco Peron & Giuseppe Fragapane, 2020. "Cloud Material Handling Systems: Conceptual Model and Cloud-Based Scheduling of Handling Activities," International Series in Operations Research & Management Science, in: Boris Sokolov & Dmitry Ivanov & Alexandre Dolgui (ed.), Scheduling in Industry 4.0 and Cloud Manufacturing, chapter 0, pages 87-101, Springer.
  • Handle: RePEc:spr:isochp:978-3-030-43177-8_5
    DOI: 10.1007/978-3-030-43177-8_5
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    Citations

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    Cited by:

    1. Chris Turner & John Oyekan, 2023. "Manufacturing in the Age of Human-Centric and Sustainable Industry 5.0: Application to Holonic, Flexible, Reconfigurable and Smart Manufacturing Systems," Sustainability, MDPI, vol. 15(13), pages 1-29, June.
    2. Seyyed-Alireza Radmanesh & Alireza Haji & Omid Fatahi Valilai, 2023. "Blockchain-Based Architecture for a Sustainable Supply Chain in Cloud Architecture," Sustainability, MDPI, vol. 15(11), pages 1-19, June.
    3. Yan Wang & Ping Han, 2023. "Digital Transformation, Service-Oriented Manufacturing, and Total Factor Productivity: Evidence from A-Share Listed Companies in China," Sustainability, MDPI, vol. 15(13), pages 1-24, June.
    4. Veera Babu Ramakurthi & Vijaya Kumar Manupati & Leonilde Varela & Goran Putnik, 2023. "Leveraging Blockchain to Support Collaborative Distributed Manufacturing Scheduling," Sustainability, MDPI, vol. 15(4), pages 1-23, February.
    5. Agnieszka Deja & Tygran Dzhuguryan & Lyudmyla Dzhuguryan & Oleg Konradi & Robert Ulewicz, 2021. "Smart Sustainable City Manufacturing and Logistics: A Framework for City Logistics Node 4.0 Operations," Energies, MDPI, vol. 14(24), pages 1-21, December.
    6. Zhigang Fan & Tae-Won Kang, 2023. "Linking Sustainable Supplier Selection to Firm’s Sustainable Performance: The Moderated Mediating Role of Supplier Development and Leadership for Functional Integration," Sustainability, MDPI, vol. 15(12), pages 1-13, June.
    7. Henriett Matyi & Péter Tamás, 2023. "Operational Concept of an Innovative Management Framework for Choosing the Optimal Packaging System for Supply Chains," Sustainability, MDPI, vol. 15(4), pages 1-24, February.

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