Permutation Flow Shop Scheduling With Delay Time Under Time-Of-Use Electricity Tariffs

被引：0

作者：

Cheng, Xingrui ^{[1
]}

Gao, Feng ^{[1
]}

Yan, Chaobo

Guan, Xiaohong ^{[2
,3
]}

Liu, Kun ^{[1
]}

Chen, Siyun ^{[1
]}

Yao, Nana ^{[2
,3
]}

Cai, Jing ^{[1
]}

机构：

[1] Xi An Jiao Tong Univ, State Key Lab Mfg Syst Engn, Xian 710049, Peoples R China

[2] Xi An Jiao Tong Univ, Syst Engn Inst, Xian 710049, Peoples R China

[3] Xi An Jiao Tong Univ, Minist Educ, Key Lab Intelligent Networks & Networks Secur, Xian 710049, Peoples R China

来源：

PROCEEDINGS OF THE 2016 12TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA) | 2016年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Worldwide energy crisis and global economic depression make reducing electricity costs has become a focus for many factory managers. This paper set up a Permutation Flow Shop Scheduling (PFSS) model with delay time, which means adding delay time between different jobs to make processing period more flexible. Considering the time of use (TOU) electricity tariff, the PFSS model using the TOU electricity tariffs is established. Meanwhile, the shutdown state is introduced for the proposed model to improve the performance. The proposed PFSS model is solved by genetic algorithm with constructing the new chromosome coding. The experiment demonstrates the new PFSS model can reduce electricity cost by 16.83% and realize the purpose to save electricity cost for factories.

引用

下载

页码：2743 / 2748

页数：6

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