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DISCRETE-EVENT SIMULATION AND AUTOMATIC DATA COLLECTION IMPROVE PERFORMANCE IN A MANUFACTURING SYSTEM

机译:离散事件仿真和自动数据收集提高了制造系统中的性能

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Data utilization from an automatic collection system helps simulation. DES (Discrete-Event Simulation) is a suitable tool in that respect. Improvements of a manufacturing system by reducing production disturbances in block engine line of a truck manufacturer were shown in a case study. The manufacturing line is equipped with an automatic data gathering system, collecting detailed information from each machine, such as DT (DownTime). The collected data and the simulation model were used in finding bottlenecks in the system. The improvement groups of the company suggested improvements to these machines in collaboration with DES work. An improvement of 12% was achieved in the block line during two years. The long-term improvement work was profitable. Further potential with the method is investigated in a new case study.
机译:自动收集系统的数据利用有助于模拟。 DES(离散事件仿真)是该方面的合适工具。在案例研究中显示了通过减少卡车制造商的块发动机线中生产障碍的制造系统的改进。制造线配备有自动数据收集系统,从每台机器收集详细信息,例如DT(停机)。收集的数据和仿真模型用于在系统中找到瓶颈。该公司的改进群体建议与DES工作合作对这些机器的改进。两年内块线实现了12%的提高。长期改善工作是有利可图的。在新案例研究中研究了该方法的进一步潜力。

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