Cyber-Physical System and Big Data-Enabled Scheduling Optimization for Sustainable Machining

Big Data enabled Intelligent Immune System for energy efficient manufacturing management

“…A multi-objective optimisation model and algorithm for scheduling a manufacturing process have been developed by the authors' research group (Liang et al, 2017). This optimisation model will be reused for re-scheduling in this paper.…”

“…An evolutional optimisation algorithm, i.e., Fruit Fly Optimisation (FFO), has been developed and improved for re-scheduling optimisation. The algorithm is reported in detail in (Liang et al, 2017).…”

“…The two ANNs are designed to model the energy consumptions for machined components and to monitor the energy patterns of the machining components respectively. A scheduling optimisation, which is based on the energy modelling-ANNs, will generate an optimised scheduling plan to support the execution stage.The learning stage and the set-up of the relevant energy modelling-ANNs is reported by the authors' research group(Liang et al 2017);(2) During the execution stage, with the support of the component energy classification-ANNs, I 2 S is used to analyse and process monitored energy data to address various dynamic conditions over machining execution lifecycles. A re-scheduling optimisation will be employed to generate an optimised re-scheduling plan whenever significantly different energy patterns are identified which indicate the necessity of adjusting manufacturing plans.…”