摘要
随着工业4.0时代的到来,智能工厂的建设成为制造业转型升级的重要方向。高级计划与排程系统(APS)作为智能工厂的核心技术之一,通过智能算法对生产计划和排程进行优化,实现了生产流程的高效与灵活。本文深入探讨了APS在智能工厂中的应用价值,指出其不仅能够显著提高生产效率、降低生产成本,还能显著提升客户满意度。通过实时监控生产数据和动态调整生产计划,APS系统确保了生产资源的合理分配和生产流程的最优执行,从而提高了整体生产效率。同时,APS通过优化排程和减少库存积压,有效降低了生产成本。此外,APS还助力企业准时交付高质量产品,显著提升了客户满意度。本文还结合具体案例,展示了APS在某汽车制造企业中的成功应用,详细分析了其实施前后的变化及成效,进一步验证了APS在智能工厂中的实际应用价值。
With the arrival of the Industry 4.0 era,the construction of smart factories has become an important direction for the transformation and upgrading of the manufacturing industry.Advanced Planning and Scheduling System(APS),as one of the core technologies of smart factories,can optimize production planning and scheduling through intelligent algorithms,achieving efficient and flexible production processes.This article delves into the application value of APS in smart factories,pointing out that it can not only significantly improve production efficiency and reduce production costs,but also significantly enhance customer satisfaction.By monitoring production data in real-time and dynamically adjusting production plans,the APS system ensures the rational allocation of production resources and optimal execution of production processes,thereby improving overall production efficiency.Meanwhile,APS has effectively reduced production costs by optimizing scheduling and reducing inventory backlog.In addition,APS also helps companies to deliver high-quality products on time,significantly improve customer satisfaction.This article also combines specific cases to demonstrate the successful application of APS in a certain automobile manufacturing enterprise,and analyzes in detail the changes and effects before and after its implementation,which further verifies the practical application value of APS in smart factories.
作者
刘京通
王少明
Liu Jingtong;Wang Shaoming
出处
《印制电路信息》
2024年第S02期317-325,共9页
Printed Circuit Information
关键词
高级计划与排程系统(APS)
智能工厂
生产效率
生产成本
客户满意度
智能制造
Advanced Planning and Scheduling System(APS)
Intelligent factory
Production Efficiency
Production Costs
Customer Satisfaction
Intelligent Manufacturing