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Title: Energy-Efficient Technologies for High-Performance Manufacturing Industries
Authors: LE CAO VINH
Keywords: Discrete-event systems, dynamic scheduling, energy efficiency, flexible manufacturing systems, manufacturing processes, Petri nets.
Issue Date: 18-Oct-2013
Source: LE CAO VINH (2013-10-18). Energy-Efficient Technologies for High-Performance Manufacturing Industries. ScholarBank@NUS Repository.
Abstract: Energy efficiencies are essential for high performance in manufacturing industries. In this dissertation, we propose novel energy-efficient technologies for flexible manufacturing systems (FMSs). A two-stage framework for classification of energy data in terms of process operational states is first proposed for intelligent energy audit and machine scheduling. A fast reactive scheduling approach is then proposed to minimize the sum of productive energy cost and tardiness penalty in FMSs considering power consumption uncertainties. A total energy optimization problem in FMSs which minimizes both productive and idle energy consumption is solved using weighted p-timed Petri nets and dynamic programming. The problem is further studied using Renyi entropy to deal with uncertainties in energy measurements with both productive and idle powers being random variables. The effectiveness of our proposed energy-efficient technologies is verified with mathematical rigor and extensive experimental results based on energy data logged from industrial injection molding and stamping systems.
Appears in Collections:Ph.D Theses (Open)

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