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

Yıl 2023, Cilt: 11 Sayı: 2, 125 - 136, 31.12.2023

Özge Köksal , Ergün Eroğlu

https://doi.org/10.17093/alphanumeric.1293487

Öz

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.

Anahtar Kelimeler

Combinatorial Optimization, NP-Hard, Cutting Stock Problems

Kaynakça

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