Comprehensively optimize production routes and production order batches, generate plans that take into account material supply constraints, ensure the feasibility of the plans, and prioritize material supply for urgent orders.
Comprehensively considering the constraints of man, machine, material, method, and environment, as well as production constraint rules, conduct matching of equipment capacity, manpower capacity, and material completeness, and output machine and production line-level plans accurate to hours, minutes, and seconds to guide the specific production execution in the workshop.
Based on the globally optimized planning module, the system simultaneously considers various constraints and planning parameters such as inventory supply-level material limitations, in-house production-level outsourced capacity constraints, etc. Under the condition of multi-objective optimization, it outputs a daily production scheduling plan accurate to days and hours from the time dimension, and a production plan accurate to processes, machines, and seconds from the organizational dimension.
Identify bottleneck processes and visually disclose the capacity load of each process. For bottleneck processes, it is possible to specifically analyze whether the bottleneck is caused by untimely material supply, non-standard process flow, or saturated capacity, guiding planners to adopt corresponding decision-making plans based on different bottleneck causes.
Under the premise of balancing delivery, inventory, and capacity utilization, enterprises continuously produce products with the same or similar processing requirements and the same or similar delivery dates, reducing losses from production line switching to avoid process backlogs and process waiting, thereby achieving maximum utilization of production capacity and cost optimization.
According to the production process flow, split the on-hand demand into process-level production tasks, taking into account both process production tasks, matching process equipment capacity, human capacity, the number of available equipment, the number of personnel, and time, while also considering constraints such as the completeness of tooling and fixtures, personnel balance, furnace resources, etc., and taking into account the handling, stacking, and waiting time for work in progress between processes. The production processes are matched with human capacity, the number of personnel and time of the calling team are considered, and the planning results support visual presentation of the connection relationship between upstream and downstream processes.
The production, locking, and pre-scheduled tasks are clearly visible at a glance. The production tasks and personnel schedules for each process are clearly visible. It supports sending the planned results to ERP and MES systems or exporting them in batches directly to the workshop for production. For the progress of the issued tasks, real-time statistics are provided to understand the production status.
Regarding plan changes: Whether due to external or internal reasons, it is necessary to quickly analyze the impact of anomalies and the chain reaction caused by corresponding plan changes, so as to ensure priority under limited production capacity.
Regarding abnormal information: Connect with MES and the work reporting system, and obtain on-site execution status through work reporting means. When it does not match the plan, connect with the enterprise OA to push abnormal information to management personnel, calculate the impact of the abnormality, and disclose delayed orders. Support manual drag-and-drop to change tasks, with algorithmic assistance for guidance to suggest appropriate positions.
By implementing a comprehensive digital transformation of mold processing, a refined production execution plan has been achieved, and through multi-process collaboration, the overall production cycle has been shortened by 40%.
