Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5476806 | Energy | 2017 | 11 Pages |
Abstract
As manufacturers face the challenges of increasing global competition and energy saving requirements, it is imperative to seek out opportunities to reduce energy waste and overall cost. In this paper, a novel data-driven stochastic manufacturing system modeling method is proposed to identify and predict energy saving opportunities and their impact on production. A real-time distributed feedback production control policy, which integrates the current and predicted system performance, is established to improve the overall profit and energy efficiency. A case study is presented to demonstrate the effectiveness of the proposed control policy.
Related Topics
Physical Sciences and Engineering
Energy
Energy (General)
Authors
Jing Zou, Qing Chang, Jorge Arinez, Guoxian Xiao,