Research Article
Distributed Optimization Framework for Industry 4.0 Automated Warehouses
@ARTICLE{10.4108/eai.27-6-2018.155237, author={Ajay Kattepur and Hemant Kumar Rath and Arijit Mukherjee and Anantha Simha}, title={Distributed Optimization Framework for Industry 4.0 Automated Warehouses}, journal={EAI Endorsed Transactions on Industrial Networks and Intelligent Systems}, volume={5}, number={15}, publisher={EAI}, journal_a={INIS}, year={2018}, month={8}, keywords={Industry 4.0, Intelligent Robotic Agent, Distributed Optimization, Warehouse Automation}, doi={10.4108/eai.27-6-2018.155237} }- Ajay Kattepur
Hemant Kumar Rath
Arijit Mukherjee
Anantha Simha
Year: 2018
Distributed Optimization Framework for Industry 4.0 Automated Warehouses
INIS
EAI
DOI: 10.4108/eai.27-6-2018.155237
Abstract
Robotic automation is being increasingly proselytized in the industrial and manufacturing sectors to increase production efficiency. Typically, complex industrial tasks cannot be satisfied by individual robots, rather coordination and information sharing is required. Centralized robotic control and coordination is ill-advised in such settings, due to high failure probabilities, inefficient overheads and lack of scalability. In this paper, we model the interactions among robotic units using intelligent agent based interactions. As such agents behave autonomously, coordinating task/resource allocation is performed via distributed algorithms. We use the motivating example of warehouse inventory automation to optimally allocate and distribute delivery tasks among multiple robotic agents. The optimization is decomposed using primal and dual decomposition techniques to operate in minimal latency, minimal battery usage or maximal utilization scenarios.
Copyright © 2018 Ajay Kattepur et al., licensed to ICST. This is an open access article distributed under the terms of theCreativeCommonsAttributionlicense(http://creativecommons.org/licenses/by/3.0/),whichpermitsunlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
