Storage and retrieval machine travel route planning strategy in an automated material handling environment

Bo Xing, Wen Jing Gao, Fulufhelo V. Nelwamondo, Kimberly Battle, Tshilidzi Marwala

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

2 Citations (Scopus)

Abstract

Automated Storage and Retrieval Systems (AS/RSs) are warehousing systems that are used for the storage and retrieval of products in both distribution and production environments. This research deals with the batch order picking (BOP) problem in an ASIRS. When a batch of retrieval requests, which consist of multiple items and these items are stored in multiple locations in a rack, are launched, the storage/retrieval (S/R) machine has to travel to numerous storage locations to complete each order. The aim of this research is to employ genetic algorithm (GA) for the purpose of minimizing the total distance travelled by the SIR machine. An experimental case study is designed to test the proposed GA. The results show that GA can significantly reduce not only the total travel distance but also the total travel time of the SIR machine.

Original languageEnglish
Title of host publication2010 World Automation Congress, WAC 2010
Publication statusPublished - 2010
Event2010 World Automation Congress, WAC 2010 - Kobe, Japan
Duration: 19 Sept 201023 Sept 2010

Publication series

Name2010 World Automation Congress, WAC 2010

Conference

Conference2010 World Automation Congress, WAC 2010
Country/TerritoryJapan
CityKobe
Period19/09/1023/09/10

Keywords

  • Automated Storage/Retrieval System (AS/RS)
  • Batch Order Picking (BOP)
  • Cellular Manufacturing (CM)
  • Genetic Algorithm (GA)
  • Storage/Retrieval (S/R) machine

ASJC Scopus subject areas

  • Control and Systems Engineering

Fingerprint

Dive into the research topics of 'Storage and retrieval machine travel route planning strategy in an automated material handling environment'. Together they form a unique fingerprint.

Cite this