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Journals / Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi / 2003 / Cilt: 18 - Sayı: 2

Flexible manufacturing system design using simulation artificial neural network

Simülasyon-yapay sinir ağı ile esnek üretim sistemi tasarımı

Akif KURT
Pages
31–38
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In this approach, flexible manufacturing system design consists of simulation of alternative designs, artificial neural network and decision maker.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, a design system has been developed based on simulation and artificial neural network as a tool for planning, scheduling and analyzing in a flexible manufacturing system (FMS).
📊
Key Findings & Data:Determination of number of machine, selection of material handling system and priority rule in FMS is performed with this system.
💡
Conclusion & Impact:In this approach, flexible manufacturing system design consists of simulation of alternative designs, artificial neural network and decision maker.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

In this study, a design system has been developed based on simulation and artificial neural network as a tool for planning, scheduling and analyzing in a flexible manufacturing system (FMS). Determination of number of machine, selection of material handling system and priority rule in FMS is performed with this system. In this approach, flexible manufacturing system design consists of simulation of alternative designs, artificial neural network and decision maker.

Özet

Bu çalışmada bir esnek üretim sisteminde (EÜS) planlama, çizelgeleme ve analiz etme aracı olarak simülasyon ve yapay sinir ağı tekniklerine dayalı bir tasarım sistemi geliştirilmiştir. Bu sistem ile bir EÜS'de makina sayısının belirlenmesi, malzeme taşıma sistemi seçimi ve öncelik kuralının seçimi yapılmaktadır. Bu yaklaşımda EÜS tasannu; alternatif tasarımların simülasyonu, yapay sinir ağı ve karar verici olmak üzere üç elemandan oluşmaktadır.

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Cite This Article

KURT, A. (2022). Flexible manufacturing system design using simulation artificial neural network. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, Cilt: 18 - Sayı: 2, 31–38. https://ajindex.com/articles/524281

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