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Heuristic Optimization of Rough-Mill Yield with Production Priorities

dc.contributor.authorAzarm, Shapouren_US
dc.contributor.authorHarhalakis, Georgeen_US
dc.contributor.authorSrinivasan, M.en_US
dc.contributor.authorStatton, P., Jr.en_US
dc.description.abstractEfficient lumber utilization at the saw has become a key issue in the woodworking industry. This is because of shrinking supply and increasing raw material prices. In this paper, formulation of the cross-cut first method of cutting defects out of lumber, as a one-dimensional stock cutting problem is discussed. A Monte-Carlo simulation method has been used for generating boards of a given grade. This simulation greatly aids in comparing alternate solution procedures proposed in the paper. To facilitate real- time application, a fast heuristic for the digital computer is introduced. This is followed by a discussion of cutting length priority allocation. The heuristic solution is compared with the optimal solution obtained using Kolesar's knapsack algorithm.en_US
dc.format.extent1238170 bytes
dc.relation.ispartofseriesISR; TR 1990-69en_US
dc.subjectManufacturing Systemsen_US
dc.titleHeuristic Optimization of Rough-Mill Yield with Production Prioritiesen_US
dc.typeTechnical Reporten_US

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