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Business, international

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The modified integer round-up property of the one-dimensional cutting stock problem

Article Abstract:

The one-dimensional cutting stock problem was numerically analyzed to determine whether it possesses the modified integer round-up property. The latter is inherent in linear integer minimization problems (IP) where the 'optimal value of any instance of IP is lesser than than the optimal value of the corresponding linear programming relaxation problems rounded up plus one.' The results were obtained via a procedure that may also be used as a heuristic to solve the cutting-stock problem.

Author: Terno, Johannes, Scheithauer, Guntram
Publisher: Elsevier B.V.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 1995
Research, Case studies, Integer programming, Cutting

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The solution of two-stage guillotine cutting stock problems having extremely varying order demands

Article Abstract:

Two-stage guillotine cutting stock problems are analyzed and solved. The focus is on problems where the sizes of the order demands vary substantially. A new strategy called the stripe approach is suggested which permits the consideration of widely varying order demands. The stripe method is contrasted with the Gilmore-Gomory method. Several numerical experiments are conducted to illustrate the benefits of the new method.

Author: Terno, Johannes, Scheithauer, Guntram, Riehme, Jan
Publisher: Elsevier B.V.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 1996
Usage, Inventory control

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An efficient approach for the multi-pallet loading problem

Article Abstract:

The multi-pallet loading problem is considered.

Author: Terno, Johannes, Scheithauer, Guntram, Sommerweiss, Uta, Riehme, Jan
Publisher: Elsevier B.V.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 2000
Methods, Materials handling

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Subjects list: Operations research, Management science, Linear programming, Analysis
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