首页|车轮智能排程系统的研发与应用

车轮智能排程系统的研发与应用

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车轮生产计划编制是交材生产计划管理的核心任务之一,合理的生产计划有利于调控各订单的生产节奏,使车轮生产平稳有序进行.以交材车轮生产计划排产为背景,考虑轧制、热处理、委外粗加工、精加工、检测的生产能力以及保温罩、磨具切换、上下工序间的物流周期等因素,通过建立数学模型,建立多目标组合优化算法(multi-objective combinatorial optimization algorithm,MOCOA)实现车轮计划的智能排产,解决了 马钢交材车轮计划排产订单批量小、多规格、个性化背景下的生产计划排程问题.系统运行结果表明,本系统通过对整个工厂范围内的车轮订单的合同交期、机组产能、物料库存、工艺路径、物流周期、设备利用率、产线可用时间、外委单位的生产能力等进行反复平衡,形成各工序的机组联动的车轮生产计划,实现了单一计划编制由原来的2天缩短至2 h以内,有效提升了车轮排产计划的编制效率,缩短了 20%的车轮产品制造周期,降低了 20%的库存占用,实现了降本增效的智慧工厂生产要求.
Development and application of intelligent scheduling system for vehicle wheels
The preparation of wheel production plans is one of the core tasks in the management of transit materials production plans.A reasonable production plan helps regulate the production pace of each order,ensuring smooth and orderly wheel production.Based on the scheduling of transit materi-als wheel production plans,taking into account factors such as rolling,heat treatment,outsourcing rough machining,precision machining,and inspection capabilities,as well as the logistics cycle be-tween insulation covers,tool switching,and sequential operations.By establishing a mathematical model and employing a multi-objective combinatorial optimization algorithm(MOCOA),intelligent scheduling of wheel plans is achieved,effectively addressing the production planning and scheduling issues arising from small batch sizes,multiple specifications and personalized requirements in Mas-teel's transit materials wheel production plans.The results of the system operation demonstrate that by repeatedly balancing the contractual delivery dates of wheel orders,unit capacity,material inventory,process paths,logistics cycles,equipment utilization rate,availability time of production lines and contract manufactory capabilities throughout the entire factory.The system generates interlinked pro-duction plans for each process unit,implementing a single plan creation process,which was previously taking two days,has been shortened to within 2 h,effectively enhancing the efficiency of wheel pro-duction scheduling.The reduction has led to a 20%decrease in wheel manufacturing lead times and a 20%reduction in inventory occupancy,aligning with the smart factory production requirements aimed at cost reduction and efficiency enhancement.

transit materialwheel production planmulti-objective combinatorial optimizationbalan-cingintelligent scheduling

王金叶、王健

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上海宝信软件股份有限公司信息化事业本部研究所,上海 201900

宝武集团马钢轨交材料科技有限公司制造部,安徽马鞍山 243071

交材 车轮生产计划 多目标组合优化 平衡 智能排程

2024

冶金自动化
冶金自动化研究设计院

冶金自动化

影响因子:0.685
ISSN:1000-7059
年,卷(期):2024.48(1)
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