Data Driven Production Runtime Energy Control of Manufacturing Systems

Abstract

Energy consumption and cost of manufacturing systems have been gradually considered as key performance indicators (KPIs) to evaluate the overall performance of manufacturing due to the increasing concerns of environmental protection and climate change. Different energy management methods have been developed for both specific manufacturing processes and entire manufacturing systems. Many of them are focused on optimal decision-making by offline calculations, while neglecting the online information for the real time decision-making. In this paper, we propose a data-driven energy control method that can provide manufacturers with a dynamic joint production and energy control scheme utilizing the online information regarding both production and energy to reduce energy consumption and cost while maintaining production. The proposed control schemes can be implemented and integrated into production runtime control system in manufacturing plants to save energy and its cost. A case study based on a real auto part manufacturing plant is conducted to illustrate the effectiveness of the proposed method.

Meeting Name

2015 IEEE International Conference on Automation Science and Engineering, CASE (2015: Aug. 24-28, Gothenburg, Sweden)

Department(s)

Engineering Management and Systems Engineering

Keywords and Phrases

Substations; Manufacturing Systems; Energy States; Energy Consumption; Real-Time Systems

International Standard Book Number (ISBN)

978-1-4673-8183-3

International Standard Serial Number (ISSN)

2161-8070; 2161-8089

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2015 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Aug 2015

Link to Full Text

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