Hierarchical task model for resource failure recovery in production scheduling
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F17%3A10372086" target="_blank" >RIV/00216208:11320/17:10372086 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-319-62434-1_30" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-319-62434-1_30</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-62434-1_30" target="_blank" >10.1007/978-3-319-62434-1_30</a>
Alternative languages
Result language
angličtina
Original language name
Hierarchical task model for resource failure recovery in production scheduling
Original language description
Attaining optimal results in real-life scheduling is hindered by a number of problems. One such problem is dynamics of manufacturing environments with breaking-down resources and hot orders coming during the schedule execution. A traditional approach to react to unexpected events occurring on the shop floor is generating a new schedule from scratch. Complete rescheduling, however, may require excessive computation time. Moreover, the recovered schedule may deviate a lot from the ongoing schedule. Some works have focused on tackling these shortcomings, but none of the existing approaches tries to substitute jobs that cannot be executed with a set of alternative jobs. This paper describes the scheduling model suitable for dealing with unforeseen events using the possibility of alternative processes and proposes an efficient heuristic-based approach to recover an ongoing schedule from a resource failure.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA15-19877S" target="_blank" >GA15-19877S: Automated Knowledge and Plan Modeling for Autonomous Robots</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Computational Intelligence - 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, Proceedings, Part I
ISBN
978-3-319-62433-4
ISSN
0302-9743
e-ISSN
neuvedeno
Number of pages
17
Pages from-to
362-378
Publisher name
Springer
Place of publication
Berlin
Event location
Cancún, Mexico
Event date
Oct 23, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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