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首页> 外文期刊>International Journal of Production Research >Analysis and design of split and merge unpaced assembly systems by metamodelling and stochastic search
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Analysis and design of split and merge unpaced assembly systems by metamodelling and stochastic search

机译：通过元建模和随机搜索分析和合并无节奏装配系统

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摘要

The study presents a new approach in optimal interstage buffer allocation problem of split-and-merge unpaced open assembly systems, which are increasingly being used in modern manufacturing systems, particularly in automotive industries. Allocations of interstage buffers to accommodate the work-in-process inventories are optimized in an attempt to maximize the overall system production rate. A simulation model developed is used in conjunction with genetic algorithms (GA) to find optimal interstage buffer configurations yielding a maximum production rate. However, simulation is extremely time-consuming due to lengthy computational requirements, especially when used in a stochastic search algorithm. In an attempt to overcome this problem, an alternative approach in simulation metamodelling based on artificial neural networks (ANN) is developed. The optimization problem previously conducted through simulation and GA is reconsidered by integrating the metamodelling approach into the GA, replacing the simulation model. The new ANN-GA approach not only gives solutions with no statistically significant difference in comparison with the original simulation GA approach, but also demands significantly less computational time. The proposed methodology intends to help practising system design engineers to take quicker decisions regarding the assembly system design parameters. The potential of metamodelling to solve manufacturing systems problems are also discussed.
机译：该研究提出了一种解决方案，即分步合并的无节奏开放式装配系统的最佳级间缓冲区分配问题，该系统正越来越多地用于现代制造系统，尤其是汽车行业。优化级间缓冲区以适应在制品库存，以最大程度地提高整体系统的生产率。所开发的仿真模型与遗传算法（GA）结合使用，以找到产生最大生产率的最佳级间缓冲液配置。然而，由于冗长的计算需求，特别是在随机搜索算法中使用仿真时，仿真非常耗时。为了克服这个问题，开发了一种基于人工神经网络（ANN）的仿真元建模的替代方法。通过将元建模方法集成到GA中来代替仿真模型，可以重新考虑以前通过仿真和GA进行的优化问题。新的ANN-GA方法不仅提供的解决方案与原始模拟GA方法相比没有统计学上的显着差异，而且所需的计算时间也大大减少。所提出的方法旨在帮助实践中的系统设计工程师对装配系统设计参数做出更快的决策。还讨论了元建模解决制造系统问题的潜力。

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