Case Studies from Industry: Skiving Addition to the Cutting Stock Problem in the Paper Industry
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Publication:4376208
DOI10.1137/S003614459531004XzbMath0891.90115MaRDI QIDQ4376208
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Publication date: 10 February 1998
Published in: SIAM Review (Search for Journal in Brave)
Applications of mathematical programming (90C90) Linear programming (90C05) Combinatorial optimization (90C27) Case-oriented studies in operations research (90B90)
Related Items (20)
Reel and sheet cutting at a paper mill ⋮ Integer linear programming models for the skiving stock problem ⋮ The skiving stock problem as a counterpart of the cutting stock problem ⋮ One-dimensional cutting stock optimization in consecutive time periods ⋮ The skiving stock problem and its relation to hypergraph matchings ⋮ Two-dimensional skiving and cutting stock problem with setup cost based on column-and-row generation ⋮ A heuristic for the skiving and cutting stock problem in paper and plastic film industries ⋮ Solving the skiving stock problem by a combination of stabilized column generation and the reflect arc-flow model ⋮ Combinatorial investigations on the maximum gap for skiving stock instances of the divisible case ⋮ The proper relaxation and the proper gap of the skiving stock problem ⋮ Characterizing IRDP-instances of the skiving stock problem by means of polyhedral theory ⋮ Integer rounding and modified integer rounding for the skiving stock problem ⋮ An upper bound of \(\Delta(E) < 3 \slash 2\) for skiving stock instances of the divisible case ⋮ Integrating process optimization and inventory planning in cutting-stock with skiving option: an optimization model and its application ⋮ An Improved Upper Bound for the Gap of Skiving Stock Instances of the Divisible Case ⋮ Modified greedy heuristic for the one-dimensional cutting stock problem ⋮ Improved flow-based formulations for the skiving stock problem ⋮ Branch-and-price algorithms for the dual bin packing and maximum cardinality bin packing problem ⋮ Modeling multistage cutting stock problems ⋮ Row and column generation technique for a multistage cutting stock problem
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