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Journals / Alphanumeric Journal / 2023 / Volume: 11 Issue: 2

Solution Approach to Cutting Stock Problems Using Iterative Trim Loss Algorithm and Monte-Carlo Simulation

Özge Köksal(İSTANBUL ÜNİVERSİTESİ)0000-0002-4800-0611
Ergün Eroğlu(İSTANBUL ÜNİVERSİTESİ)0000-0003-4454-6251
Pages
—
Publication Date
2023-12-31
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AI Summary & Key Takeaways

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

This study includes a hybrid solution algorithm combined with iterative trim loss algorithm and Monte Carlo simulations, and a comparative study of the method with the solution methods in the literature, for the solution of orders to be obtained with minimum cutting loss from the same type of stocks.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Cutting Stock Problems are the most studied NP-Hard combinatorial problems among optimization problems.
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Key Findings & Data:An One-dimensional Cutting Stock Problem (1-CSP), which aims to create cutting patterns to minimize trim loss, is one of the best known optimization problems.
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Conclusion & Impact:This study includes a hybrid solution algorithm combined with iterative trim loss algorithm and Monte Carlo simulations, and a comparative study of the method with the solution methods in the literature, for the solution of orders to be obtained with minimum cutting loss from the same type of stocks.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Combinatorial Optimization · NP-Hard · Cutting Stock Problems

Abstract

Cutting Stock Problems are the most studied NP-Hard combinatorial problems among optimization problems. An One-dimensional Cutting Stock Problem (1-CSP), which aims to create cutting patterns to minimize trim loss, is one of the best known optimization problems. The difficulty of the solution stages and the lack of a definite solution method that can be applied to all problems have caused these problems to attract a lot of attention by researchers. This study includes a hybrid solution algorithm combined with iterative trim loss algorithm and Monte Carlo simulations, and a comparative study of the method with the solution methods in the literature, for the solution of orders to be obtained with minimum cutting loss from the same type of stocks.

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Cite This Article

Köksal, Ö., Eroğlu, E. (2023). Solution Approach to Cutting Stock Problems Using Iterative Trim Loss Algorithm and Monte-Carlo Simulation. Alphanumeric Journal, Volume: 11 Issue: 2. https://doi.org/10.17093/alphanumeric.1293487

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