In this paper, we present approximation algorithms for the problem of cutting out a convex polygon P with n vertices from another convex polygon Q with m vertices by a sequence of guillotine cuts of smallest total length. Specifically, we give an O(n + m) running time, constant factor approximation algorithm, and an O(n+m) running time, O(log n)-factor approximation algorithm for cutting P out ...

Imagine a wooden plate with a set of non-overlapping geometric objects painted on it. How many of them can a carpenter cut out using a panel saw making guillotine cuts, i.e., only moving forward through the material along a straight line until it is split into two pieces? Already fifteen years ago, Pach and Tardos investigated whether one can always cut out a constant fraction if all objects ar...

The present work proposes new heuristics and algorithms for the 3D Cutting and Packing class of problems. Specifically the cutting stock problem and a real-world application from the retail steel distribution industry are addressed. The problem being addressed for the retail steel distribution industry is the retail steel cutting problem, which is how to cut steel in order to satisfy the custom...

We consider the problem of guillotine cutting a rectangular sheet into rectangular pieces with two heights. A polynomial time algorithm for this problem is constructed.

This paper addresses a stock-cutting problem with rotation of items and without the guillotine cutting constraint. In order to solve the large-scale problem effectively and efficiently, we propose a simple but fast heuristic algorithm. It is shown that this heuristic outperforms the latest published algorithms for large-scale problem instances. Keywords—Combinatorial optimization, heuristic, la...

We investigate two cutting problems and their variants in which orthogonal rotations are allowed. We present a dynamic programming based algorithm for the Two-dimensional Guillotine Cutting Problem with Value (GCV) that uses the recurrence formula proposed by Beasley and the discretization points defined by Herz. We show that if the items are not so small compared to the dimension of the bin, t...

The d-dimensional bin packing problem (OBPP-d) is the problem of finding the minimum number of containers needed to contain a set of orthogonally packed d-dimensional rectangular boxes. In OBPP-d solvers two subproblems are crucial: Calculating lower bounds and solving the decision problem (OPP-d) of determining if a set of boxes can be orthogonally packed into a single container. This thesis f...

Given a convex polyhedron P of n vertices inside a sphere Q, we give an O(n)-time algorithm that cuts P out of Q by using guillotine cuts and has cutting cost O(log n) times the optimal.

The MIRUP (Modified Integer Round-Up Property) leads to an upper bound for the gap between the optimal value of the integer problem and that of the corresponding continuous relaxation rounded up. This property is known to hold for many instances of the one-dimensional cutting stock problem but there are not known so far any results with respect to the two-dimensional case. In this paper we inve...

The MIRUP (Modiied Integer RoundUp Property) leads to an upper bound for the gap between the optimal value of the integer problem and that of the corresponding continuous relaxation rounded up. This property is known to hold for many instances of the one-dimensional cutting stock problem but there are not known so far any results with respect to the two-dimensional case. In this paper we invest...