TY - JOUR
T1 - Integration of autonomous intelligent vehicles into manufacturing environments
T2 - 29th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2019
AU - Lynch, Liam
AU - McGuinness, Fintan
AU - Clifford, John
AU - Rao, Muzaffar
AU - Walsh, Joseph
AU - Toal, Daniel
AU - Newe, Thomas
N1 - Publisher Copyright:
© 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
PY - 2019
Y1 - 2019
N2 - As companies begin to move towards Industry 4.0 and implement Smart Manufacturing techniques, flexible manufacturing comes to the fore. This allows a facility to adapt to changing needs and demands, with less impact on production, when compared to rigid production lines. Traditionally, the introduction of new equipment into a production line is somewhat straightforward, as the equipment is generally static. In recent times however, Autonomous Intelligent Vehicles (AIVs) have become a pivotal component of smart production lines. Given there may be in excess of twenty AIVs working simultaneously, the integration challenge becomes even more complex. This paper identifies several challenges associated with the integration of an AIV into a manufacturing environment controlled by a Manufacturing Execution System (MES). Further to this a discussion of the solutions being implemented currently on a live project is provided.
AB - As companies begin to move towards Industry 4.0 and implement Smart Manufacturing techniques, flexible manufacturing comes to the fore. This allows a facility to adapt to changing needs and demands, with less impact on production, when compared to rigid production lines. Traditionally, the introduction of new equipment into a production line is somewhat straightforward, as the equipment is generally static. In recent times however, Autonomous Intelligent Vehicles (AIVs) have become a pivotal component of smart production lines. Given there may be in excess of twenty AIVs working simultaneously, the integration challenge becomes even more complex. This paper identifies several challenges associated with the integration of an AIV into a manufacturing environment controlled by a Manufacturing Execution System (MES). Further to this a discussion of the solutions being implemented currently on a live project is provided.
KW - Autonomous Intelligent Vehicle
KW - Manufacturing Execution Systems
KW - Robotics for Manufacturing
KW - Software Interfacing
UR - http://www.scopus.com/inward/record.url?scp=85083533257&partnerID=8YFLogxK
U2 - 10.1016/j.promfg.2020.01.115
DO - 10.1016/j.promfg.2020.01.115
M3 - Conference article
AN - SCOPUS:85083533257
SN - 2351-9789
VL - 38
SP - 1683
EP - 1690
JO - Procedia Manufacturing
JF - Procedia Manufacturing
Y2 - 24 June 2019 through 28 June 2019
ER -
