Hierarchical task model for resource failure recovery in production scheduling

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Hierarchical task model for resource failure recovery in production scheduling

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Hierarchical task model for resource failure recovery in production scheduling

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/GA15-19877S" target="_blank" >GA15-19877S: Automatické modelování znalostí a plánů pro autonomní roboty</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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

Počet stran výsledku

17

Strana od-do

362-378

Název nakladatele

Springer

Místo vydání

Berlin

Místo konání akce

Cancún, Mexico

Datum konání akce

23. 10. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—