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Dynamic Coordinated Supply Chain Scheduling in an IoT Environment

In: Optimization and Management in Manufacturing Engineering

Author

Listed:
  • Xinbao Liu

    (Hefei University of Technology)

  • Jun Pei

    (Hefei University of Technology)

  • Lin Liu

    (Hefei University of Technology)

  • Hao Cheng

    (Hefei University of Technology)

  • Mi Zhou

    (Hefei University of Technology)

  • Panos M. Pardalos

    (University of Florida)

Abstract

The Internet of Things (IoT) refers to the networking of physical items through the use of embedded sensors and other devices that gather and convey information about the items. The data collected from these devices can be used to optimize products, services, and operations. One of the earliest and best-known applications of such technology appears in the area of energy optimization: sensors deployed across the electricity grid can help utilities remotely monitor energy usage and make responses to account for peak times and downtimes. The IoT is also widely used in manufacturing enterprises to optimize production. For example, in factories, sensors enhance production efficiency by providing a constant flow of data to optimize production processes. The data collected from equipment can be used to determine the operating state of the equipment. This can greatly improve the accuracy of the equipment maintenance plan, reduce maintenance costs, and reduce unplanned downtime. The data collected from vehicles can be used to predict the arrival time of raw materials and product components.

Suggested Citation

  • Xinbao Liu & Jun Pei & Lin Liu & Hao Cheng & Mi Zhou & Panos M. Pardalos, 2017. "Dynamic Coordinated Supply Chain Scheduling in an IoT Environment," Springer Optimization and Its Applications, in: Optimization and Management in Manufacturing Engineering, chapter 0, pages 63-90, Springer.
    • Handle: RePEc:spr:spochp:978-3-319-64568-1_3
    DOI: 10.1007/978-3-319-64568-1_3
    as

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