Data driven production runtime energy control of manufacturing systems

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.