Title: Innovative framework of AS/RS path planning

Authors: Chih-Ming Luo, Hung-Fan Chang

Addresses: Department of Technology Management, Hsing Kuo University of Management, No. 89, Yuying St., Tainan City 709, Taiwan ROC. ' Graduate Institute of Management of Technology, National Chiao Tung University, 1001 University Road, Hsinchu City 300, Taiwan ROC

Abstract: Until recently, a great deal of thought in Automated Storage/Retrieval System (AS/RS) path planning has focused on algorithms, but very little attention was paid to what actually went on inside industrial settings. Traditional algorithms for Automated Guided Vehicles (AGVs) were over emphasised local optimisation that AGVs are too complicated to systematise for path forecasting in AS/RS path planning. The purpose of this study is to establish a feedback mechanism to modify AGV transport movement. An innovative AS/RS framework was inductively established throughout this study. This study used Scenario Analysis (SA) to evaluate AGVs| dynamic path for goal orientation and used the four circular steps Eliminate, Combine, Rearrange, Simplify (ECRS) to establish a feedback mechanism to modify AGV transport movement and analyse nonlinear dynamic behaviour. This study presents a conceptual framework for linking goal orientation and feedback mechanisms in AS/RS path planning.

Keywords: innovation; automatic storage; automated retrieval; AS/RS path planning; automated guided vehicles; AGVs; scenario analysis; eliminate combine rearrange simplify; ECRS; feedback mechanisms; algorithms; path forecasting; transport management; nonlinear dynamic behaviour.

DOI: 10.1504/IJIL.2010.029473

International Journal of Innovation and Learning, 2010 Vol.7 No.1, pp.51 - 63

Published online: 30 Nov 2009 *

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