Multi-objective Fuzzy Job-shop of Pharmaceutical Enterprise Scheduling Considering Uncertain and Multi-objective Features

被引：0
作者：
Zhong, Zufeng [1 ]
Yang, Hongyan [2 ]
Ye, Caihong [1 ]
Yang, Man [3 ]
机构：
[1] Lingnan Normal Univ, Business Sch, Zhanjiang 524048, Peoples R China
[2] Lingnan Normal Univ, Sch Chem & Chem Engn, Zhanjiang 524048, Peoples R China
[3] Lingnan Normal Univ, Zhanjiang 524048, Peoples R China
来源：
EKOLOJI | 2019年 / 28卷 / 107期
关键词：
fuzzy job-shop scheduling; multi-objective; Hopfield neural network; simulated annealing; TABU SEARCH ALGORITHM; DIFFERENTIAL EVOLUTION; SINGLE-MACHINE; OPTIMIZATION; MAKESPAN; SOLVE;
D O I：
暂无
中图分类号：
Q14 [生态学（生物生态学）];
学科分类号：
071012 ; 0713 ;
摘要：
As the pharmaceutical enterprise job-shop scheduling problems in modern complex environments are uncertain and multi-objective, we established a fuzzy job-shop scheduling model based on fuzzy processing time, fuzzy interval and fuzzy delivery. We used work piece completion times, customer satisfaction, and production costs as the multiple targets. Besides, we also adopted the improved Hopfield neural network algorithm to solve the model. Finally, we verified the effectiveness of the fuzzy scheduling model and algorithm with a practical workshop parts production scheduling example.
引用
收藏
页码：2301 / 2311
页数：11
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