Three-Dimensional Bin Packing and Mixed-Case Palletization

装箱问题 列生成 水准点(测量) 计算机科学 集合(抽象数据类型) 航程(航空) 数学优化 栏(排版) 箱子 钥匙(锁) 算法 数学 工程类 航空航天工程 帧(网络) 电信 程序设计语言 计算机安全 地理 大地测量学
作者
Samir Elhedhli,Fatma Gzara,Burak Yıldız
出处
期刊:INFORMS journal on optimization [Institute for Operations Research and the Management Sciences]
卷期号:1 (4): 323-352 被引量:42
标识
DOI:10.1287/ijoo.2019.0013
摘要

Despite its wide range of applications, the three-dimensional bin-packing problem is still one of the most difficult optimization problems to solve. Currently, medium- to large-size instances are only solved heuristically and remain out of reach of exact methods. This is particularly true for its practical variant, the mixed-case palletization problem, where item support is needed. This and the lack of a realistic benchmark data set are identified as major research gaps by a recent survey. In this work, we propose a novel formulation and a column-generation solution approach, where the pricing subproblem is a two-dimensional layer-generation problem. Layers are highly desirable in practical packings as they are easily packable and can accommodate important practical constraints such as item support, family groupings, isle friendliness, and load bearing. Being key to the success of the column-generation approach, the pricing subproblem is solved optimally as well as heuristically and is enhanced by using item grouping, item replacement, layer reorganization, and layer spacing. We conduct extensive computational experiments and compare against existing approaches. We also use industrial data to train and propose a realistic data set. The proposed approach outperforms the best-performing algorithm in the literature on most instances and succeeds to solve practical size instances in very reasonable computational times.
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