摘要
制造业是我国重要的产业,在经济发展中起到不可小觑的作用。随着绿色制造理念的普及,如何在保证生产效率的同时降低能耗和缩短交货期成为制造业面临的重要挑战。本文以Z公司多目标车间为研究对象,根据考虑能耗与交货期的多目标车间调度理论,构建了考虑能耗与交货期的多目标优化模型并设计了改进的免疫遗传算法对上述建立的模型进行求解。通过算法的试验结果与实际结果对比分析,发现考虑能耗与交货期的多目标车间调度方案在实际生产中更具有指导价值,验证了算法的有效性和可行性。本研究不仅为提升Z公司的生产效率提供了理论支撑,同时也为制造业实现绿色、可持续发展贡献了新的思路和方法。The manufacturing industry is a significant sector in our country, playing an indispensable role in economic development. With the increasing popularity of green manufacturing concepts, achieving reduced energy consumption and shorter delivery times while maintaining production efficiency has become a major challenge for the manufacturing sector. This study focuses on the mul-ti-objective workshop of Z Company. Based on the multi-objective workshop scheduling theory that considers energy consumption and delivery time, a multi-objective optimization model incorporat-ing these factors is constructed. An improved immune genetic algorithm is designed to solve the established model. A comparative analysis between the experimental results of the algorithm and actual outcomes reveals that the multi-objective workshop scheduling scheme, which takes into ac-count energy consumption and delivery time, provides valuable guidance in practical production. This verifies the effectiveness and feasibility of the algorithm. This research not only provides theo-retical support for improving the production efficiency of Z Company but also contributes new ideas and methods for achieving green and sustainable development in the manufacturing industry.
出处
《机械工程与技术》
2024年第5期454-463,共10页
Mechanical Engineering and Technology
