2020
DOI: 10.3390/math8111914
|View full text |Cite
|
Sign up to set email alerts
|

Optimization Method for Guillotine Packing of Rectangular Items within an Irregular and Defective Slate

Abstract: Research on the rectangle packing problems has mainly focused on rectangular raw material sheets without defects, while natural slate has irregular and defective characteristics, and the existing packing method adopts manual packing, which wastes material and is inefficient. In this work, we propose an effective packing optimization method for nature slate; to the best of our knowledge, this is the first attempt to solve the guillotine packing problem of rectangular items in a single irregular and defective sl… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(2 citation statements)
references
References 26 publications
0
2
0
Order By: Relevance
“…Through excellent algorithms to optimize the packing, even a one percent increase in the material utilization rate will save lots of resource costs for enterprises and generate huge economic benefits for the whole society. Despite the many practical applications and benefits, the problem has received relatively little attention in the literature when compared to the regular packing problem [7][8][9]. One of the main reasons is that researchers have to deal with the geometry problem, which is the first obstacle they encounter.…”
Section: Introductionmentioning
confidence: 99%
“…Through excellent algorithms to optimize the packing, even a one percent increase in the material utilization rate will save lots of resource costs for enterprises and generate huge economic benefits for the whole society. Despite the many practical applications and benefits, the problem has received relatively little attention in the literature when compared to the regular packing problem [7][8][9]. One of the main reasons is that researchers have to deal with the geometry problem, which is the first obstacle they encounter.…”
Section: Introductionmentioning
confidence: 99%
“…Bouzid and Salhi [22] present a novel constructive heuristic that builds a feasible packing starting from an ordered list of rectangles. Chen et al [23] proposed a packing algorithm based on the HL heuristic and genetics to solve this problem. Cassioli and Locatelli [24] formulated the orthogonal packing of equal rectangles within a convex region as an unconstrained mixed-integer global optimization problem and solved it using an iterated local search combined with the L-BFGS algorithm of Liu and Nocedal [25].…”
Section: Introductionmentioning
confidence: 99%