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Dergiler / Sigma Mühendislik ve Fen Bilimleri Dergisi / 2019 / Cilt: 37 - Sayı: 4

DATA ENVELOPMENT ANALYSIS BASED METAMODELING FOR MULTI OBJECTIVE SIMULATION OPTIMIZATION IN A MANUFACTURING LINE

Onder BELGIN
Sayfa
1435–1449
Yayın Tarihi
2019-12-01
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

In metamodeling stage two level factorial design is used.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:To adapt changing market conditions, firms must make quick decisions and response them as fast as possible.
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Temel Bulgular & Veri:Simulation isn’t adequate to optimize the system parameters and additional methods are needed to integrate with simulation for optimization.
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Sonuç & Katkı:In metamodeling stage two level factorial design is used.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Simulation optimization · multi-objective simulation optimization · data envelopment analysis

Abstract

To adapt changing market conditions, firms must make quick decisions and response them as fast as possible. Simulation is a powerful tool to analyze the effects of changes in an industrial or service system on a virtual environment and usage of simulation models have become widespread with the developments in computers. Simulation isn’t adequate to optimize the system parameters and additional methods are needed to integrate with simulation for optimization. In this study, a multi-objective optimization of a production system is considered. In this system, management aims to decide the optimal combination of workers in considered workstations. To cope with the problem a Data Envelopment Analysis (DEA) based metamodel is obtained and this metamodel is used as the objective function of the mathematical model with relevant constraints. In metamodeling stage two level factorial design is used.

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Bu Makaleye Atıf Yap

BELGIN, O. (2019). DATA ENVELOPMENT ANALYSIS BASED METAMODELING FOR MULTI OBJECTIVE SIMULATION OPTIMIZATION IN A MANUFACTURING LINE. Sigma Mühendislik ve Fen Bilimleri Dergisi, Cilt: 37 - Sayı: 4, 1435–1449. https://ajindex.com/articles/419137

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Kaynakça (12)

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