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Clustering and Genetic Algorithm Based Hybrid Flowshop Scheduling with Multiple Operations
المؤلفون المشاركون
Sun, Shu-dong
Zhang, Yingfeng
Liu, Sichao
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-03-27
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
This research is motivated by a flowshop scheduling problem of our collaborative manufacturing company for aeronautic products.
The heat-treatment stage (HTS) and precision forging stage (PFS) of the case are selected as a two-stage hybrid flowshop system.
In HTS, there are four parallel machines and each machine can process a batch of jobs simultaneously.
In PFS, there are two machines.
Each machine can install any module of the four modules for processing the workpeices with different sizes.
The problem is characterized by many constraints, such as batching operation, blocking environment, and setup time and working time limitations of modules, and so forth.
In order to deal with the above special characteristics, the clustering and genetic algorithm is used to calculate the good solution for the two-stage hybrid flowshop problem.
The clustering is used to group the jobs according to the processing ranges of the different modules of PFS.
The genetic algorithm is used to schedule the optimal sequence of the grouped jobs for the HTS and PFS.
Finally, a case study is used to demonstrate the efficiency and effectiveness of the designed genetic algorithm.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhang, Yingfeng& Liu, Sichao& Sun, Shu-dong. 2014. Clustering and Genetic Algorithm Based Hybrid Flowshop Scheduling with Multiple Operations. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-451183
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhang, Yingfeng…[et al.]. Clustering and Genetic Algorithm Based Hybrid Flowshop Scheduling with Multiple Operations. Mathematical Problems in Engineering No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-451183
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhang, Yingfeng& Liu, Sichao& Sun, Shu-dong. Clustering and Genetic Algorithm Based Hybrid Flowshop Scheduling with Multiple Operations. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-451183
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-451183
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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