نتایج جستجو برای: one dimensional cutting stock problem

تعداد نتایج: 3006885  

Ahmad Makui Hasan Javanshir Mir-Bahador Aryanezhad Nima Fakhim Hashemi

Cutting stock problems are within knapsack optimization problems and are considered as a non-deterministic polynomial-time (NP)-hard problem. In this paper, two-dimensional cutting stock problems were presented in which items and stocks were rectangular and cuttings were guillotine. First, a new, practical, rapid, and heuristic method was proposed for such problems. Then, the ...

Journal: :International Journal of Future Generation Communication and Networking 2016

2009
Rodrigo Rabello Golfeto Antonio Carlos Moretti Luiz Leduíno de Salles Neto José dos Campos

This work presents a genetic symbiotic algorithm to minimize the number of objects and the setup in a one-dimensional cutting stock problem. The algorithm implemented can generate combinations of ordered lengths of stock (the cutting pattern) and, at the same time, the frequency of the cutting patterns, through a symbiotic process between two distinct populations, solutions and cutting patterns...

2012
MIRKO GRADIŠAR LUKA TOMAT

Many methods exist for solving the one-dimensional cutting stock optimization problem with usable leftovers (CSPUL), but none of them consider the excessive generation of usable leftovers (UL) in stock after several consecutiveorders. To highlight this problem, the COLA method for solving the CSPUL [1] was selected. We performed experiments that showed how UL in stock continuously grow when the...

2012
W.N.P Rodrigo

Selection of feasible cutting patterns in order to minimize the raw material wastage which is known as cutting stock problem has become a key factor of the success in today’s competitive manufacturing industries. In this paper, solving a rectangular shape medium size two-dimensional cutting stock problem is discussed. Our study is restricted to raw materials (main sheets) in a rectangular shape...

H Javanshir M Shadalooee

Nowadays, One-Dimensional Cutting Stock Problem (1D-CSP) is used in many industrial processes and re-cently has been considered as one of the most important research topic. In this paper, a metaheuristic algo-rithm based on the Simulated Annealing (SA) method is represented to minimize the trim loss and also to fo-cus the trim loss on the minimum number of large objects. In this method, the 1D-...

2013
Miguel Espinheira Silveira

The present work proposes new heuristics and algorithms for the 3D Cutting and Packing class of problems. Specifically the cutting stock problem and a real-world application from the retail steel distribution industry are addressed. The problem being addressed for the retail steel distribution industry is the retail steel cutting problem, which is how to cut steel in order to satisfy the custom...

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