Abstract
The energy-efficient multi-objective scheduling has an attractive attention due to severe environmental problems in high-tech manufacturing industries such as printed circuit board (PCB) enterprises. However, it is challenging for factory planners to achieve optimal scheduling while ensuring low energy consumption (EC) and high productivity in complicated production systems simultaneously. Thus, the current research investigates a scheduling problem considering EC for the electroplating system in PCB manufacturing enterprises. A novel mathematical model is formulated by minimising total weighted tardiness (TWT) and EC simultaneously. A hybrid Pareto spider monkey optimisation algorithm (HPSMO) is developed for the aforementioned discrete optimisation problem. Moreover, new problem scenarios are designed to find energy-efficient solutions by solving both objectives simultaneously. Numerous experiments are performed to assess the effectiveness of the proposed HPSMO against other well-known multi-objective evolutionary algorithms (MOEAs), including SPEA2, NSGA-II and MOEA/D. Experimental results show that the HPSMO is superior to its competitors. Additionally, the HPSMO is applied to reduce the EC in an real life scenario-based problem.
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