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@inproceedings{1546818,
author = {Murín, Stanislav and Rudová, Hana},
address = {Switzerland},
booktitle = {Principles and Practice of Constraint Programming},
doi = {http://dx.doi.org/10.1007/978-3-030-30048-7_27},
editor = {Thomas Schiex, Simon de Givry},
keywords = {Scheduling; Constraint programming; Mobile robot;Flexible manufacturing system; Transportation; IBM ILOG CPLEX Optimization Studio},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Switzerland},
isbn = {978-3-030-30047-0},
pages = {456-471},
publisher = {Springer International Publishing},
title = {Scheduling of Mobile Robots Using Constraint Programming},
url = {https://link.springer.com/chapter/10.1007/978-3-030-30048-7_27},
year = {2019}
}
TY - JOUR
ID - 1546818
AU - Murín, Stanislav - Rudová, Hana
PY - 2019
TI - Scheduling of Mobile Robots Using Constraint Programming
PB - Springer International Publishing
CY - Switzerland
SN - 9783030300470
KW - Scheduling
KW - Constraint programming
KW - Mobile robot;Flexible manufacturing system
KW - Transportation
KW - IBM ILOG CPLEX Optimization Studio
UR - https://link.springer.com/chapter/10.1007/978-3-030-30048-7_27
L2 - https://link.springer.com/chapter/10.1007/978-3-030-30048-7_27
N2 - Mobile robots in flexible manufacturing systems can transport components for jobs between machines as well as process jobs on selected machines. While the job shop problem with transportation resources allows encapsulating of transportation, this work concentrates on the extended version of the problem, including the processing by mobile robots. We propose a novel constraint programming model for this problem where the crucial part of the model lies in a proper inclusion of the transportation. We have implemented it in the Optimization Programming Language using the CP Optimizer, and compare it with the existing mixed integer programming solver. While both approaches are capable of solving the problem optimally, a new constraint programming approach works more efficiently, and it can compute solutions in more than an order of magnitude faster. Given that, the results of more realistic data instances are delivered in real-time, which is very important in a smart factory.
ER -
MURÍN, Stanislav and Hana RUDOVÁ. Scheduling of Mobile Robots Using Constraint Programming. In Thomas Schiex, Simon de Givry. \textit{Principles and Practice of Constraint Programming}. Switzerland: Springer International Publishing, 2019, p.~456-471. ISBN~978-3-030-30047-0. Available from: https://dx.doi.org/10.1007/978-3-030-30048-7\_{}27.
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