A Cutting Stock and Scheduling Problem in the Copper Industry

Hendry, Linda; Fok, K. K.; Shek, K W

doi:10.1057/jors.1996.4

Cited by 47 publications

(25 citation statements)

References 13 publications

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“…Belov and Scheithauer (2003) designed a sequential heuristic to minimize material input while restricting the number of open stacks to any given limit. Also, there are a number of ways in which LPM and SHP are used together to obtain the best possible answer to a given class of Cutting and Packing problems (Sweeney and Haessler, 1990;Goulimis, 1990;Hendry et al, 1996;Gradišar et al, 1999;Richard, 1996).…”

Section: Introductionmentioning

confidence: 99%

An iterative sequential heuristic procedure to a real-life 1.5-dimensional cutting stock problem

Song

Chen

Nie

et al. 2006

European Journal of Operational Research

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Section: Introductionmentioning

confidence: 99%

An iterative sequential heuristic procedure to a real-life 1.5-dimensional cutting stock problem

Song

Chen

Nie

et al. 2006

European Journal of Operational Research

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“…There has been lots of work The literature for the combined cutting planning and nesting problem is not vast. Hendry et al 10 considered both the scheduling and cutting-stock problems for the copper industry. A two-stage solution procedure was proposed, where best cutting patterns to minimize the waste were generated at the first stage and a daily production planning was created at the second stage.…”

Section: Introductionmentioning

confidence: 99%

An integrated approach on cut planning and nesting for metal structures manufacturing

Rao

2014

Proceedings of the Institution of Mechanical Engineers, Part B:

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An integrated approach is put forward to solve the combined cut planning and nesting problem for metal structures manufacturing. In this article, a three-stage solution procedure is framed, which involves dividing the cutting parts into several groups by rules, generating different layouts or patterns in different strategy, and selecting apt cutting patterns. As some layouts with less trim-loss may lead to high setup cost and high stock level, a multiobjective mathematical model, which takes into account the trim-loss, setup cost, labor cost, and their tradeoffs, is developed. Furthermore, a method with ant colony optimization for solving the mathematical model is proposed. The key research of this article is to focus on the nesting problem by using parallel optimization on a variety of steel plates and choosing an apt cutting pattern by weighing the trim-loss, setup cost, and labor cost. The computational results and comparison prove that the presented approach is quite effective for solving the problem.

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“…Reinders [19] studied the process of cutting tree trunks to assortments and boards for various markets. Hendry et al [9] proposed a two-stage solution to solve the combined problem for a copper industry; first they found the best cutting patterns minimizing the waste, and then these patterns are given as input to the second stage, which provides the daily production planning. This decomposition approach was also used by Poltroniere et al [18] to solve a combined problem in the paper industry.…”

Section: Introductionmentioning

confidence: 99%