Matrix-geometric solution for semi-open queuing network model of autonomous vehicle storage and retrieval system

2014 ◽  
Vol 68 ◽  
pp. 78-86 ◽  
Author(s):  
Banu Yetkin Ekren ◽  
Sunderesh S. Heragu ◽  
Ananth Krishnamurthy ◽  
Charles J. Malmborg
Keyword(s):  
Network Model ◽  
Retrieval System ◽  
Autonomous Vehicle ◽  
Queuing Network ◽  
Storage And Retrieval ◽  
Matrix Geometric Solution ◽  
Open Queuing Network

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

Analytical models for the evaluation of deep-lane autonomous vehicle storage and retrieval system performance

2017 ◽  
Vol 94 (5-8) ◽  
pp. 1811-1824 ◽  
Author(s):  
Gianluca D’Antonio ◽  
Manuela De Maddis ◽  
Joel Sauza Bedolla ◽  
Paolo Chiabert ◽  
Franco Lombardi
Keyword(s):  
System Performance ◽  
Retrieval System ◽  
Autonomous Vehicle ◽  
Analytical Models ◽  
Storage And Retrieval
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