Multi-objective optimization of lean and resource efficient manufacturing systems
Multi-objective optimization of lean and resource efficient manufacturing systems
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DOI：
10.1007/s11740-019-00945-9
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发表时间：
2020-01-02
影响因子：
1.7
通讯作者：
Lanza, Gisela
中科院分区：
文献类型：
--
作者：
Greinacher, Sebastian;Overbeck, Leonard;Lanza, Gisela
在制造业中，除了经济优化外，资源的目标导向和高效利用也变得越来越重要。基于精益原则的制造系统的经济和组织优化与资源节约型制造的目标仅部分兼容。因此，寻求一种方法来改进制造系统的个体分析。提出了一种精益制造系统的多目标优化方法。为了预测制造系统的几种配置的动态影响，离散事件模拟的材料、能源和信息流与基于精益和资源高效制造目标的评估模型相结合。通过实验设计，对仿真模型的行为进行了高斯过程元模型的计算。这些元模型允许在短时间内计算系统行为的近似值，并实现广泛的多目标优化和更充分的决策支持系统。该方法在金属加工行业中得到了验证。
In the manufacturing industry, target-oriented and efficient use of resources is gaining importance, alongside economic optimization. The economic and organizational optimization of manufacturing systems according to the lean principles is only partly compatible with the goals of resource-efficient manufacturing. Therefore, an approach is sought to improve individual analyses of manufacturing systems. This paper proposes an approach for the multi-objective optimization of lean and resource-efficient manufacturing systems. To predict the dynamic effects of several configurations of manufacturing systems, material, energy, and information flows of a discrete event simulation are coupled with an assessment model, based on objectives of lean and resource-efficient manufacturing. Using design of experiments, Gaussian process meta-models are computed for the behavior of the simulation model. These meta-models allow the approximation of the system behavior to be computed in a short period of time and enable extensive multi-objective optimization and more adequate decision-making support systems. The proposed approach is tested in the metalworking industry.