Innovative framework of AS/RS path planning

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.