Innovative framework of AS/RS path planning Online publication date: Mon, 30-Nov-2009
by Chih-Ming Luo, Hung-Fan Chang
International Journal of Innovation and Learning (IJIL), Vol. 7, No. 1, 2010
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.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Innovation and Learning (IJIL):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook