Using Fuzzy Logic and Discrete Event Simulation to Enhance Production Lines Performance: Case Study

被引：0
|
作者：
Ghaleb, Abdulrakeb [1 ]
Heshmat, M. [1 ]
El-Sharief, Mahmoud A. [1 ]
El-Sebaie, M. G. [1 ]
机构：
[1] Assiut Univ, Dept Mech Engn, Assiut, Egypt
来源：
2019 IEEE 6TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND APPLICATIONS (ICIEA) | 2019年
关键词：
ANFIS; DES; production lines;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Discrete Event Simulation (DES) is a powerful tool in the area of manufacturing systems since it is capable to capture the system complexity and provide enhancement scenarios. However, other techniques alongside the simulation process is necessary in such complex systems. This study uses fuzzy logic and DES to analyze a case of real production line by applying the improvement operation in two ways: (DES) and Adaptive Neuro Fuzzy Inference System (ANFIS). The DES is used to measure the Key Performance Indicators (KPIs) and the ANFIS is used to map the production rate with the dominant production factors and meanwhile predict it. This developed methodology is applied on a real case study of a cement bags production line. The obtained results indicate that the production rate can be increased by about 2.5%.
引用
收藏
页码：653 / 657
页数：5
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