A Computational Study of Heuristic Algorithms for Two-Dimensional Cutting Stock Problems
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چکیده
A two-dimensional cutting stock problem can be defined as follows: A set of rectangular stock sheets of p different types is available. For each type of sheet Sp we know its length Lp and width Wp. From these sheets we have to cut smaller rectangular pieces of length li and width wi, i = 1, ...,m in order to satisfy a given demand for di pieces of each type. The objective is to minimize the total area of stock sheets required. This problem has a wide range of commercial and industrial applications.
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تاریخ انتشار 2001