The cutting stock problem in a hardboard industry: a case study
Computers and Operations Research
A new heuristic recursive algorithm for the strip rectangular packing problem
Computers and Operations Research
A recursive branch-and-bound algorithm for the rectangular guillotine strip packing problem
Computers and Operations Research
A meta-heuristic algorithm for the strip rectangular packing problem
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
Hybrid heuristic algorithm for two-dimensional steel coil cutting problem
Computers and Industrial Engineering
Shadow price based genetic algorithms for the cutting stock problem
International Journal of Artificial Intelligence and Soft Computing
Computers and Industrial Engineering
Intelligent Systems Research in the Construction Industry
Expert Systems with Applications: An International Journal
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A rectangular two-dimensional cutting stock problem in the steel bridge construction is discussed. It is the problem of cutting a set of rectangular items from plates with arbitrary sizes that lie in the supplier specified ranges, such that the necessary plate area is minimized. Several types of cutting patterns are used to compose the cutting plan. All of them are easy to generate and cut except the last one. The algorithm uses both recursive and dynamic programming techniques to generate patterns of the last type. The computational results of 22 practical instances indicate that the algorithm can produce solutions close to optimal, and the computation time is reasonable for practical use.