@inproceedings{4c1a558b90544f88aacad6e815df57d7,
title = "A geometric design of zone-picking in a distribution warehouse",
abstract = "In this study, we considered a regular logistic warehouse into various geometric zone-picking types. Eight zone planning methods, six similarity coefficients, two order-batching methods and one clustering algorithm are used to improve the warehouse system. In all, there are 96 (8×6×2 ×1) combinations of these methods. Each combination is tested with thirty randomly generated test problems. The total order-picking travel distances are collected for performance evaluation. Furthermore, we solved the storage-location assignment problem of each test problem by dividing the logistic warehouse into various zone types, so that we can see how much improvement could be achieved by converting a regular warehouse into different geometric zone-picking warehouses.",
keywords = "Distribution center, Geometric zone-picking, SA(Simulated Annealing), Similarity coefficient",
author = "Ho, {Ying Chin} and Wee, {Hui Ming} and Chen, {Hsiao Ching}",
year = "2007",
doi = "10.1007/978-3-540-74484-9_54",
language = "???core.languages.en_GB???",
isbn = "9783540744825",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
number = "PART 3",
pages = "625--636",
booktitle = "Computational Science and Its Applications - ICCSA 2007 - International Conference, Proceedings",
edition = "PART 3",
note = "International Conference on Computational Science and its Applications, ICCSA 2007 ; Conference date: 26-08-2007 Through 29-08-2007",
}