Dynamic Coordinated Supply Chain Scheduling in an IoT Environment

Xinbao Liu, Jun Pei, Lin Liu, Hao Cheng, Mi Zhou and Panos M. Pardalos
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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

Chapter Chapter 3 in Optimization and Management in Manufacturing Engineering, 2017, pp 63-90 from Springer

Abstract: 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.

Keywords: Supply Chain Scheduling; Shuffled Frog Leaping Algorithm (SFLA); Memeplex; Batch Processing Machine; Parallel Batch (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/978-3-319-64568-1_3

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