A geometric design of zone-picking in a distribution warehouse

Ying Chin Ho, Hui Ming Wee, Hsiao Ching Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations


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.

Original languageEnglish
Title of host publicationComputational Science and Its Applications - ICCSA 2007 - International Conference, Proceedings
PublisherSpringer Verlag
Number of pages12
EditionPART 3
ISBN (Print)9783540744825
StatePublished - 2007
EventInternational Conference on Computational Science and its Applications, ICCSA 2007 - Kuala Lumpur, Malaysia
Duration: 26 Aug 200729 Aug 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume4707 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceInternational Conference on Computational Science and its Applications, ICCSA 2007
CityKuala Lumpur


  • Distribution center
  • Geometric zone-picking
  • SA(Simulated Annealing)
  • Similarity coefficient


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