The rectangular two-dimensional strip packing problem real-life practical constraints: A bibliometric overview
Over the years, methods and algorithms have been extensively studied to solve variations of
the rectangular two-dimensional strip packing problem (2D-SPP), in which small rectangles …
the rectangular two-dimensional strip packing problem (2D-SPP), in which small rectangles …
Heuristics for online three-dimensional packing problems and algorithm selection framework for semi-online with full look-ahead
In online three-dimensional packing problems (3D-PPs), unlike offline problems, items arrive
sequentially and require immediate packing decisions without any information about the …
sequentially and require immediate packing decisions without any information about the …
[HTML][HTML] Enhancing circular economy via detecting and recycling 2D nested sheet waste using Bayesian optimization technique based-smart digital twin
The recycling process is controversial on a worldwide scale since it is based on the concept
of sustainability and minimizing the environmental footprint. From this perspective, a …
of sustainability and minimizing the environmental footprint. From this perspective, a …
Heuristic approaches for the cutting path problem
With the extensive application of laser cutting, the proper planning of the cutting path has a
significate impact on industrial production, like clothing, metalware, and furniture. This paper …
significate impact on industrial production, like clothing, metalware, and furniture. This paper …
A machine learning enhanced multi-start heuristic to efficiently solve a serial-batch scheduling problem
A Uzunoglu, C Gahm, A Tuma - Annals of Operations Research, 2024 - Springer
Serial-batch scheduling problems are widespread in several industries (eg, the metal
processing industry or industrial 3D printing) and consist of two subproblems that must be …
processing industry or industrial 3D printing) and consist of two subproblems that must be …
[HTML][HTML] A pattern-based algorithm with fuzzy logic bin selector for online bin packing problem
The online bin packing problem is a well-known optimization challenge that finds application
in a wide range of real-world scenarios. In the paper, we propose a novel algorithm called …
in a wide range of real-world scenarios. In the paper, we propose a novel algorithm called …
Applying machine learning for the anticipation of complex nesting solutions in hierarchical production planning
C Gahm, A Uzunoglu, S Wahl, C Ganschinietz… - European Journal of …, 2022 - Elsevier
In hierarchical production planning, the consideration of interdependencies between
superior top-level decisions and subordinate base-level decisions is essential. In this …
superior top-level decisions and subordinate base-level decisions is essential. In this …
The machining torch movement for the rectangular plasma sheet metal cut
A Neuenfeldt Júnior, M Francescatto, O Araújo… - Plos one, 2023 - journals.plos.org
The sheet metals can be cut into rectangular or irregular pieces, where the main objective is
to minimize the sheet metal's physical waste. However, the operating time, the number of …
to minimize the sheet metal's physical waste. However, the operating time, the number of …
A data mining framework for reporting trends in the predictive contribution of factors related to educational achievement
Large-scale assessment (LSA) data analysis is a relevant mechanism used worldwide for
assessing educational achievement. Despite the leading role played by traditional statistics …
assessing educational achievement. Despite the leading role played by traditional statistics …
A framework to select heuristics for the rectangular two-dimensional strip packing problem
Defining the algorithm capable of best fit the characteristics observed for a problem is a
complex task in the context of combinatorial optimization problems. As a decision-making …
complex task in the context of combinatorial optimization problems. As a decision-making …