A Constraint Programming Model for a Reconfigurable Job Shop Scheduling Problem with Machine Availability
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F23%3A00370586" target="_blank" >RIV/68407700:21730/23:00370586 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.1007/978-3-031-43670-3_33" target="_blank" >https://doi.org/10.1007/978-3-031-43670-3_33</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-43670-3_33" target="_blank" >10.1007/978-3-031-43670-3_33</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
A Constraint Programming Model for a Reconfigurable Job Shop Scheduling Problem with Machine Availability
Popis výsledku v původním jazyce
A reconfigurable manufacturing system (RMS) is one of the attractive production paradigms that has emerged to face the challenges in the market. Moreover, in a real production system, machines may be out of reach because of various reasons, such as inspection, periodic maintenance, and sudden breakdown. Implementing a proper schedule in this environment can have a significant impact on the growth and success of manufacturing companies. In this regard, this paper deals with scheduling in a reconfigurable job shop environment consisting of flexible maintenance operations. To this aim, a mixed-integer linear programming (MILP) model is presented to minimize the makespan. Regarding the high complexity of the problem and the industrial need of having good solutions in a short time, a constraint programming (CP) model is developed as well. Then, a computational experiment and sensitivity analysis are conducted. The presented models are assessed by solving a series of test problems. It is concluded that the proposed CP model significantly outperforms the MILP model for large-sized instances.
Název v anglickém jazyce
A Constraint Programming Model for a Reconfigurable Job Shop Scheduling Problem with Machine Availability
Popis výsledku anglicky
A reconfigurable manufacturing system (RMS) is one of the attractive production paradigms that has emerged to face the challenges in the market. Moreover, in a real production system, machines may be out of reach because of various reasons, such as inspection, periodic maintenance, and sudden breakdown. Implementing a proper schedule in this environment can have a significant impact on the growth and success of manufacturing companies. In this regard, this paper deals with scheduling in a reconfigurable job shop environment consisting of flexible maintenance operations. To this aim, a mixed-integer linear programming (MILP) model is presented to minimize the makespan. Regarding the high complexity of the problem and the industrial need of having good solutions in a short time, a constraint programming (CP) model is developed as well. Then, a computational experiment and sensitivity analysis are conducted. The presented models are assessed by solving a series of test problems. It is concluded that the proposed CP model significantly outperforms the MILP model for large-sized instances.
Klasifikace
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)
Návaznosti výsledku
Projekt
<a href="/cs/project/GA22-31670S" target="_blank" >GA22-31670S: Rozvrhování prováděných testů ve zdravotnických laboratořích: zkrácení doby dodání výsledku</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures
ISBN
978-3-031-43672-7
ISSN
1868-4238
e-ISSN
1868-422X
Počet stran výsledku
14
Strana od-do
477-490
Název nakladatele
Springer
Místo vydání
Cham
Místo konání akce
Tronheim
Datum konání akce
17. 9. 2023
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—