Great Price "An iterative sequential heuristic procedure to a real-life 1.5-dimensional cutting stock problem [An article from: European Journal of Operational Research]" for $7.95 Today

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An iterative sequential heuristic procedure to a real-life 1.5-dimensional cutting stock problem [An article from: European Journal of Operational Research] Overviews

This digital document is a journal article from European Journal of Operational Research, published by Elsevier in 2006. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
This paper addresses a real-life 1.5D cutting stock problem, which arises in a make-to-order plastic company. The problem is to choose a subset from the set of stock rectangles to be used for cutting into a number of smaller rectangular pieces so as to minimize total production cost and meet orders. The total production cost includes not only material wastage, as in traditional cutting stock problems, but also production time. A variety of factors are taken into account, like cutter knife changes, machine restrictions, due dates and other work in progress limitations. These restrictions make the combinatorial structure of the problem more complex. As a result, existing algorithms and mathematical models are no longer appropriate. Thus we developed a new 1.5D cutting stock model with multiple objectives and multi-constraints and solve this problem in an incomplete enumerative way. The computational results show that the solution procedure is easy to implement and works very well.

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Great Price "Solving the biobjective zero-one knapsack problem by an efficient LP-based heuristic [An article from: European Journal of Operational Research]" for $5.95 Today

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Solving the biobjective zero-one knapsack problem by an efficient LP-based heuristic [An article from: European Journal of Operational Research] Overviews

This digital document is a journal article from European Journal of Operational Research, published by Elsevier in 2004. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
In this paper, we propose a simple and useful method, the core of which is an efficient LP-based heuristic, for solving biobjective 0-1 knapsack problems. Extensive computational experiments show that the proposed method is able to generate a good approximation to the nondominated set very efficiently. We also suggest three qualitative criteria to evaluate such an approximation. In addition, the method can be extended to other problems having properties similar to the knapsack problem.

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Corporate optimal production planning with varying environmental costs: A grey compromise programming approach [An article from: European Journal of Operational Research]

Great Price "Corporate optimal production planning with varying environmental costs: A grey compromise programming approach [An article from: European Journal of Operational Research]" for $5.95 Today

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Corporate optimal production planning with varying environmental costs: A grey compromise programming approach [An article from: European Journal of Operational Research] Overviews

This digital document is a journal article from European Journal of Operational Research, published by Elsevier in 2004. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
Corporate environmental and resources management has become more strategically oriented when many pollution charges, environmental taxes, and resources conservation fees have been gradually imposing to the industry. The need for explicit consideration and incorporation of varying environmental costs within production-planning program is becoming critical to corporate management. This paper attempts to assess an optimal production-planning program in response to varying environmental costs in an uncertain environment. The optimal production strategy concerning numerous screening of possible production alternatives of dyeing cloth in a textile-dyeing firm in terms of market demand, resources availability, and impact of environmental costs is treated as an integral part of the multi-criteria decision-making framework based on the grey compromise programming approach. It covers not only the regular part of production costs and the direct income from product sales but also the emission/effluent charges and water resource fees reflecting part of the goals for internalization of external cost in a sustainable society. In particular, all the crucial variables in the model are addressed by interval expressions, the same as they are frequently applied in the grey systems theory, in support of a vital uncertainty assessment, which is much better suited for this particular study than other approaches. Research results demonstrate the applicability and significance of such an approach based on a case study. Industry looking for the competitive advantage of environmental management must be aware of the potential benefits from such an integrated production-planning program once the trend of increasing pollution charges, environmental taxes, and resources conservation fees remains.

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