On Treating Multiobjective Cutting Stock Problem in the Aluminum Industry under Fuzzy Environment

Saad, M Omar; El-Shafei, K Mervat; Ezzat, El-Sayed

doi:10.3923/tasr.2007.374.385

Cited by 2 publications

(1 citation statement)

References 19 publications

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“…The objective was to reduce the amount of waste generated in constructing steel bars. Saad et al (2007) addressed the problem of scrap generated from cutting cylindrical logs produced by an aluminum extrusion company. In this regard, a multiobjective cutting stock problem was constructed.…”

Section: Introductionmentioning

confidence: 99%

Optimizing an Aluminum Extrusion Process

Hajeeh¹

2013

Journal of Mathematics and Statistics

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Minimizing the amount of scrap generated in an aluminum extrusion process. An optimizing model is constructed in order to select the best cutting patterns of aluminum logs and billets of various sizes and shapes. The model applied to real data obtained from an existing extrusion factory in Kuwait. Results from using the suggested model provided substantial reductions in the amount of scrap generated. Using sound mathematical approaches contribute significantly in reducing waste and savings when compared to the existing non scientific techniques.

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Section: Introductionmentioning

confidence: 99%

Optimizing an Aluminum Extrusion Process

Hajeeh¹

2013

Journal of Mathematics and Statistics

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Inferência fuzzy para o problema de corte de estoque com sobras aproveitáveis de material

2011

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Nesse trabalho, e estudado o problema de corte de estoque com sobras aproveitaveis (PCESA), que consiste em determinar uma política de aproveitamento das sobras de objetos cortados. Estas sobras, desde que não sejam demasiadamente pequenas, podem retornar ao estoque como retalhos para atender demandas futuras, não sendo, portanto, consideradas perdas. Para resolver o PCESA, podem ser utilizados varios procedimentos heurísticos propostos na literatura. Entretanto, e difícil identificar o melhor método de solução, pois cada um deles apresenta uma solução diferente em relação as características de interesse do problema, como quantidade de retalhos produzidos, perdas e distribuição de perdas e retalhos nos objetos. Para superar essa dificuldade, propoe-se utilizar técnicas da lógica fuzzy para considerar a contributo de cada característica de interesse na solução, classifica-la de acordo com critérios pré-estabelecidos e, finalmente, identificar o melhor método com base na respectiva solução. Com a metodologia fuzzy desenvolvida, facilitou-se a análise dos métodos de solução
In this paper, we study the cutting stock problem with usable leftovers (CSPUL), that consists in determining a policy of usable leftovers from cut objects. These leftovers, if large enough, can returned to the stock as retails in order to fulfill future demands and, therefore, they are not computed as waste. In order to solve the CSPUL, several heuristic procedures from the literature can be used. However, it is hard to point out which solution method performs better, since each one presents different solutions regarding some conflicting characteristics, such as quantity of new retails generated, wastes, and distribution of the wastes and retails in the cut objects. To overcome this difficulty, we propose some fuzzy techniques to consider the contribution of each characteristic in the solution, classify it according some criteria beforehand considered and, finally, identify the best solution method based on the respective solution. With the proposed fuzzy methodology, the solution methods analysis was simplifie

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On Treating Multiobjective Cutting Stock Problem in the Aluminum Industry under Fuzzy Environment

Cited by 2 publications

References 19 publications

Optimizing an Aluminum Extrusion Process

Optimizing an Aluminum Extrusion Process

Inferência fuzzy para o problema de corte de estoque com sobras aproveitáveis de material

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