Journals / Cankaya University Journal of Science and Engineering / 2010 / Cilt: 7 - Sayı: 2

Çok Kriterli Permütasyon Akış Tipi Çizelgeleme Problemi için Bir Tavlama Benzetimi Yaklaşımı

Pages
1–1
Publication Date
2010-04-01
DOI
—
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AI Summary & Key Takeaways

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

The proposed algorithm has obtained efficient solutions in a reasonable computation time.

📌 3 Key Takeaways

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Objective & Hypothesis:Most of the studies dealing with the production scheduling problems has focused on single criterion.
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Key Findings & Data:However, real-world manufacturing systems require the simultaneous optimization of different criteria.
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Conclusion & Impact:The proposed algorithm has obtained efficient solutions in a reasonable computation time.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Multi-criteria scheduling · flow shop scheduling · simulated annealing

Abstract

Most of the studies dealing with the production scheduling problems has focused on single criterion. However, real-world manufacturing systems require the simultaneous optimization of different criteria. In this study, we consider permutation flowshop scheduling problem with the multiobjectives of minimizing makespan, total flowtime and maximum tardiness simultaneously. Three-stage simulated annealing algorithm is proposed to obtain efficient solutions. The proposed algorithm has obtained efficient solutions in a reasonable computation time.

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Cite This Article

Temiz, İ. (2010). Çok Kriterli Permütasyon Akış Tipi Çizelgeleme Problemi için Bir Tavlama Benzetimi Yaklaşımı. Cankaya University Journal of Science and Engineering, Cilt: 7 - Sayı: 2, 1–1. https://ajindex.com/articles/746111

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References (1)

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