Simulation of scheduling production system by using integrating simulation models with artificial neural network model
Joint Authors
Source
Issue
Vol. 14, Issue 4 (31 Dec. 2008), pp.3121-3135, 15 p.
Publisher
University of Baghdad College of Engineering
Publication Date
2008-12-31
Country of Publication
Iraq
No. of Pages
15
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Information Technology and Computer Science
Topics
Abstract AR
النظريات التقليدية لإيجاد العلاقة بين البيانات الداخلة لنماذج المحاكاة و الناتجة منها قد تفشل أو تأخذ وقت طويل لإيجاد هذه العلاقة.
شبكات الخلايا العصبية الاصطناعية لها القابلية لإيجاد أصعب العلاقات بين المدخلات و المخرجات (النواتج).
ان استخدام هذه الشبكات يحسن نماذج المحاكاة كثيرا و تسمح بتمثيل أدق لسينارهوت العمل الحقيقية للأنظمة.
يهتم هذا البحث بدراسة تطبيق آلية تكامل لنماذج المحاكاة بنموذج لشبكة خلايا عصبية اصطناعية.
هذه الآلية اختبرت عن طريق تكامل نماذج المحاكاة لخط إعادة تأهيل المبادلات الحرارية مع نموذج لشبكة خلايا عصبية اصطناعية لجدولة دخول المبادلات إلى داخل ورشة إعادة التأهيل.
ان تطبيق آلية التكامل هذه على خط إعادة تأهيل المبادلات سوف يقلل من الوقت الكلي لإعادة تأهيل دفعات من المبادلات الحرارية بمقدار (12.5 %).
Abstract EN
Traditional methods of dealing with finding the relationship between the inputs data of simulation models and the outputs data fail or takes a long time to find this relationship.
Artificial neural networks (ANNs) have the ability to learn complex relationships between inputs and outputs.
Their use can greatly enhance simulation models and allow for more accurate representations of real life scenarios.
This paper is concerned with the application of the mechanism of integrating simulation models with artificial neural network (ANN) model.
This mechanism was tested by integrating simulation models of re-tubing heat exchangers line (RTHEL) with ANN model to schedule entering exchangers to inside retubing workshop.
The result of applying this mechanism of integration in system (RTHEL) was in reducing completion time of re-tubing batches of heat exchangers by about (12.5 %).
American Psychological Association (APA)
al-Dawud, Z. I.& Shams, Awf A.. 2008. Simulation of scheduling production system by using integrating simulation models with artificial neural network model. Journal of Engineering،Vol. 14, no. 4, pp.3121-3135.
https://search.emarefa.net/detail/BIM-332462
Modern Language Association (MLA)
al-Dawud, Z. I.& Shams, Awf A.. Simulation of scheduling production system by using integrating simulation models with artificial neural network model. Journal of Engineering Vol. 14, no. 4 (Dec. 2008), pp.3121-3135.
https://search.emarefa.net/detail/BIM-332462
American Medical Association (AMA)
al-Dawud, Z. I.& Shams, Awf A.. Simulation of scheduling production system by using integrating simulation models with artificial neural network model. Journal of Engineering. 2008. Vol. 14, no. 4, pp.3121-3135.
https://search.emarefa.net/detail/BIM-332462
Data Type
Journal Articles
Language
English
Notes
Includes appendix : p. 3134-3145
Record ID
BIM-332462