In the process of new factory planning, workshop transformation, production line expansion and automation system construction, the challenge faced by enterprises is often not whether a single equipment is advanced, but whether the whole factory system can operate stably, efficiently and sustainably under real production conditions.

When the product variety increases, the order fluctuation increases, the delivery cycle is compressed, and the labor and equipment resources are limited, it is often difficult to accurately judge the real operation effect of the factory after completion by the traditional method of relying on experience review, static layout map and local capacity measurement. Many problems are only exposed after production, such as unbalanced production line beats, cross logistics paths, insufficient cache area, unreasonable equipment utilization rate, AGV/AMR scheduling conflicts, frequent transfer of bottleneck stations, and decreased efficiency after expansion.

Yuanhang Simulation provides factory simulation consulting services for new factory planning, existing factory renovation, production line layout optimization, in-plant logistics planning and production system capability verification for manufacturing enterprises, and builds an operable, analyzable and comparable digital simulation model. Through the dynamic simulation of production process, equipment capacity, station beat, logistics line, personnel resources, cache setting and order fluctuation, it helps enterprises to see the system operation results before the implementation of the scheme, identify risks in advance, optimize the planning scheme, and reduce the trial and error cost of construction and transformation.

Factory simulation is not just to "draw out" the factory, but to "run" the factory of the future ". Through the simulation model, enterprises can quantitatively compare different planning schemes before real investment and on-site transformation, and judge whether the production capacity meets the standard, whether the resources match, whether the logistics is smooth, whether the bottleneck is controllable, and whether the expansion capacity is sufficient, thus providing a more reliable basis for project initiation, scheme review, investment decision-making and continuous improvement.

1. Verify plant operational capability

The new plant or new production line plan seems reasonable at the drawing stage, it may be affected by the combination of beat, logistics, cache, personnel, equipment capacity and order structure in actual operation. Through factory simulation, it is possible to verify in advance whether the planning scheme meets the target capacity and operating efficiency requirements, and reduce the systemic risk after production.

2. Moving from static planning to dynamic validationT

Traditional layout design pays more attention to the relationship between space, equipment and process, while simulation pays more attention to waiting, queuing, congestion, bottleneck transfer and resource conflict in the process of system operation. It can help enterprises to further judge "whether the system can run efficiently" from "whether the scheme can be arranged".

3. Support multi-scenario comparison and investment decisions

According to different production line layout, equipment quantity, staffing, logistics path, cache capacity, AGV/AMR quantity and shift strategy, simulation can form quantitative comparison results to help enterprises determine which inputs are really effective, which configurations are redundant, and which risks need to be controlled in advance.

4. Identifying bottlenecks and systemic risks

Plant operation problems are often not a single point problem, but the result of production rhythm, logistics and distribution, equipment capacity, caching strategy and scheduling rules. Simulation can help enterprises identify hidden bottlenecks, capacity shortcomings and operational risks, and avoid new system problems caused by local optimization.

5. Improve the efficiency of scheme communication and review

Through the visual simulation model, planning, production, logistics, equipment, automation and management teams can discuss around the same dynamic system, reduce the problem of inconsistent understanding of the scheme by different departments, and improve the efficiency of scheme review, technical communication and decision-making. 6. Service continuous improvement and expansion planning Plant simulation is not only applicable to new construction projects, but also to capacity improvement, bottleneck improvement, logistics optimization and expansion evaluation of existing plants. As the product structure, order requirements, and resource conditions change, the simulation model can be continuously used for solution verification and improvement decisions.

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