Rodrigues, Carlos DiegoCherri, Adriana Cristina [UNESP]de Araujo, Silvio Alexandre [UNESP]2023-07-292023-07-292023-01-01Computers and Operations Research, v. 149.0305-0548http://hdl.handle.net/11449/246102In this paper, we present a new mixed integer programming formulation for two-dimensional guillotine cutting and packing problems based on a strip decomposition of the rectangular spaces. The formulation covers most of the main related problems in the literature by setting parameters accordingly. The strip concept commonly used for problems with a limited number of stages (two or three stages) has been, in this study, extended to a general concept that can cover an arbitrary number of stages. Due to the easy adaptation of the proposed formulation, which is presented in both heuristic and exact version, an extensive set of computational experiments was performed with instances for the two-dimensional guillotine knapsack, cutting stock and bin packing problems. The experiments, which involve existing benchmark instances and randomly generated instances from the literature, showed that our proposed formulation, considering its heuristic version, can output competitive results both in terms of computational time and percentage of optimally solved instances.engGuillotine cutsMathematical modelingMixed-integer programmingTwo-dimensional cutting problemsArtigo10.1016/j.cor.2022.1060442-s2.0-85140061800