Simulation-based regression analysis for the rack configuration of an autonomous vehicle storage and retrieval system

2009 ◽  
Vol 48 (21) ◽  
pp. 6257-6274 ◽  
Author(s):  
Banu Yetkin Ekren ◽  
Sunderesh S. Heragu
Keyword(s):  
Regression Analysis ◽  
Retrieval System ◽  
Autonomous Vehicle ◽  
Storage And Retrieval ◽  
Simulation Based

Research on AS/RS Simulation Based on Flexsim

2013 ◽  
Vol 347-350 ◽  
pp. 406-410 ◽  
Author(s):  
Xiu Ying Tang ◽  
Lin Lin Yang ◽  
Jia Jin Zhang ◽  
Jie Shi ◽  
Li Chang Chen
Keyword(s):  
Retrieval System ◽  
Focus Of Attention ◽  
Operating Efficiency ◽  
Storage Efficiency ◽  
Storage And Retrieval ◽  
Manufacturing Enterprises ◽  
Simulation Based ◽  
Automated Storage ◽  
High Level ◽  
High Storage

Storage efficiency of the automated storage and retrieval system (AS/RS) is well known by its high storage efficiency, the advantages of automation and high level of information, its operating efficiency has also become the focus of attention. This paper tries to take an automated storage and retrieval system of one manufacturing enterprises for example, analyzing the overall process and detailed steps. Then, Flexsim is used to identify its bottlenecks by providing system. At last, measures are used to optimize the operating efficiency.

scholarly journals Energy Evaluation of Deep-Lane Autonomous Vehicle Storage and Retrieval System

2019 ◽  
Vol 11 (14) ◽  
pp. 3817 ◽  
Author(s):  
Emanuele Guerrazzi ◽  
Valeria Mininno ◽  
Davide Aloini ◽  
Riccardo Dulmin ◽  
Claudio Scarpelli ◽  
...  
Keyword(s):  
Energy Recovery ◽  
Retrieval System ◽  
Autonomous Vehicle ◽  
Operating Characteristics ◽  
Storage And Retrieval ◽  
Energy Evaluation ◽  
System A ◽  
Retrieval Systems ◽  
Recovery System ◽  
Automated Warehouses

With the rise of a consciousness in warehousing sustainability, an increasing number of autonomous vehicle storage and retrieval systems (AVS/RS) is diffusing among automated warehouses. Moreover, manufacturers are offering the option of equipping machines with energy recovery systems. This study analyzed a deep-lane AVS/RS provided with an energy recovery system in order to make an energy evaluation for such a system. A simulator able to emulate the operation of the warehouse has been developed, including a travel-time and an energy model to consider the real operating characteristics of lifts, shuttles and satellites. Referring to a single command cycle with a basic storing and picking algorithm for multiple-depth channels, energy balance and recovery measurements have been presented and compared to those of a traditional crane-based system. Results show significant savings in energy consumption with the use of a deep-lane AVS/RS.

Travel time models for deep-lane unit-load autonomous vehicle storage and retrieval system (AVS/RS)

2016 ◽  
Vol 54 (14) ◽  
pp. 4286-4304 ◽  
Author(s):  
Riccardo Manzini ◽  
Riccardo Accorsi ◽  
Giulia Baruffaldi ◽  
Teresa Cennerazzo ◽  
Mauro Gamberi
Keyword(s):  
Travel Time ◽  
Retrieval System ◽  
Autonomous Vehicle ◽  
Unit Load ◽  
Storage And Retrieval
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