Enhancing energy efficiency in distributed hybrid forging flow-shops: a novel scheduling approach to capitalise on residual forging heat
研究了分布式制造中考虑锻造技术的能源高效调度问题，提出利用锻造余热的节能策略，并开发了改进的遗传算法来优化完工时间和能耗。
This research paper addresses the energy-efficient distributed hybrid flow-shop scheduling problem with forging technology (EEDHFSP-FT) in distributed manufacturing. A mathematical description model is proposed that considers the characteristics of forging production and aims to minimise completion time and energy consumption. The model incorporates multi-resource constraints and mixed production modes while introducing an energy-saving strategy based on the analysis of residual forging heat. An elite cooperative non-dominated sorting genetic algorithm (ECNSGA) is developed to solve the scheduling problem, building upon the NSGA-II algorithm. The ECNSGA utilises two hybrid initialisation rules and employs elite mutual assistance during the iterative process for collaborative optimisation. The effectiveness of the proposed model and algorithm is demonstrated through comparative analyses and numerical evaluations. This research contributes to energy-efficient scheduling in distributed manufacturing and highlights the advantages of the proposed approach.