Bottleneck Detection in Job Shop Production by High-Level Petri Nets

被引：0
|
作者：
Esmaeeli, Hamid [1 ]
Aleahmad, Matin
机构：
[1] Islamic Azad Univ, Ind Engn Grp, Tehran North Branch, Tehran, Iran
来源：
PROCEEDINGS OF 2019 15TH IRAN INTERNATIONAL INDUSTRIAL ENGINEERING CONFERENCE (IIIEC) | 2019年
关键词：
high-level petri nets; Bottleneck; Job shop; Modelling; Time cycle; BATCH; TIME;
D O I：
10.1109/iiiec.2019.8720639
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Bottlenecks are one of the most important problems that can effect the performance of the production systems. Detection of the bottlenecks in the production process can increase the performance of production system. This research is based on detecting bottlenecks by high-level petri nets in the job-shop production system. The capabilities of this method lead us to monitor the job-shop manufacturing process for avoiding of bottlenecks before running the system for evaluating time cycle production and reducing it by optimizing methods in the future works. The case study conducted at the Tarrah Sanaye Khouzestan industrial group placed at Albaji industrial zone, Ahvaz, Iran. The results showed the performance of high-level petri nets for detecting the bottlenecks and modeling the concurrent systems like job shop production systems.
引用
收藏
页码：178 / 183
页数：6
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