An efficient method for the three-dimensional container loading problem by forming box sizes
| Autor: | Ozcan Kilincci, Evren Medinoglu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
021103 operations research
Control and Optimization Computer science Applied Mathematics 0211 other engineering and technologies Mechanical engineering 02 engineering and technology Extension (predicate logic) Management Science and Operations Research Container (type theory) Industrial and Manufacturing Engineering Computer Science Applications 3d packing 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing |
| Popis: | This study focuses on a real-world case that is defined as an extension of the container loading problem (CLP) with weakly heterogeneous types of boxes. A company producing plastic cups wants to increase its efficiency in container loading operations. To solve the problem, a hybrid approach including a static rule to rank orders and integer nonlinear programming (INLP) models is developed. INLP models form box sizes according to the properties of the cups, and determine the position of the boxes in layers while simultaneously minimizing the layer-depth. The presented approach is tested on real-world cases and benchmark data sets. The results show that simultaneously forming boxes and solving the CLP increases the effectiveness of container loading operations. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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