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Fineupgrading lean improvement from a phased activity to a sustainable, verifiable, reusable model
In the process of manufacturing enterprises to promote lean improvement and factory planning, many problems are not just "whether the site is clean and the process is smooth. With the increase of product variety, order fluctuation and automation equipment, the production system often has problems such as unbalanced rhythm, untimely logistics distribution, unreasonable cache area setting, mismatch between personnel and equipment utilization rate, and repeated transfer of bottleneck stations.
traditional lean improvement relies more on field experience, manual measurement and local optimization, although some waste can be found, it is often difficult to accurately judge the comprehensive impact of an improvement plan on overall production capacity, beat, inventory, logistics path and resource allocation when faced with complex production systems. Many schemes seem reasonable in the meeting review, but there may be new waiting, congestion, shortage of materials or waste of resources after the actual operation.
's professional simulation combines lean manufacturing methods with system simulation technology to build an operational, verifiable and comparable digital simulation model for scenarios such as factory planning, production line transformation, logistics optimization and production system improvement. Through simulation and simulation of different layout schemes, beat configuration, staffing, logistics and distribution strategies, equipment capabilities and order fluctuations, system bottlenecks and operational risks are identified in advance to provide enterprises with a more objective, quantitative and visual basis for decision-making.
lean manufacturing simulation service is not to replace management experience with models, but to use simulation to verify whether experience is valid, to help enterprises see the results of system operation before the implementation of the scheme, reduce the cost of trial and error, and improve the accuracy of planning and decision-making.
Plant Layout and Logistics Line Verification
Analyzes the equipment layout, logistics path, cache location, material flow direction and handling distance for new factories, production line relocation, workshop renovation and other scenarios to verify whether the layout scheme will lead to cross-transportation, path congestion, inefficient distribution or insufficient space utilization.
Production line beat and bottleneck analysis
Identifies key bottlenecks that constrain capacity around production beat, station capacity, equipment utilization, and wait time, and evaluates the impact of different station configurations, equipment numbers, staffing, and buffering strategies on overall output.
Line Edge Logistics and Distribution Strategy Optimization
For scenarios such as line-side feeding, supermarket distribution, AGV/AMR distribution, manual handling, etc., verify that the distribution frequency, batch size, route, number of vehicles and cache capacity are reasonable, and reduce short waiting, excessive inventory and invalid handling.
Comparison and Evaluation of Multi-scheme Simulation
Simulating and comparing different planning, improvement or investment options to help companies choose better options in terms of capacity, efficiency, resource utilization, waiting time, WIP and operational stability.
Lean improvement effect quantitative verification
Compares the operating status of the system before and after the improvement, and uses data to present the improvement effect, so as to avoid the improvement results from only staying at the level of empirical judgment or partial observation, and provide quantitative basis for internal review, project establishment and continuous improvement of the enterprise.
Continuous improvement and simulation iteration support
Continuously updates the model, adjusts the parameters, verifies the improvement plan according to the actual operation problems, and quantitatively compares the effects before and after the improvement, helping the enterprise to form a closed-loop management capability of "finding problems-proposing solutions-simulation verification-implementing optimization-continuous tracking".
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