Scheduling on dedicated machines with energy consumption limit
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00332665" target="_blank" >RIV/68407700:21230/19:00332665 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/68407700:21730/19:00332665
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Scheduling on dedicated machines with energy consumption limit
Popis výsledku v původním jazyce
This work studies a problem of scheduling non-preemptive independent jobs on dedicated machines while considering an energy consumption limit. The problem is motivated by energy-demanding production processes, such as glass tempering and steel hardening, in which a material is heated to high temperature in furnaces. The production companies have contracts with electric utilities that specify a maximum energy consumption limit. If the heating in the furnaces is not planned carefully, the energy spikes overshoot the energy consumption limit, and the companies must pay large penalty fees. In this paper, we propose two exact methods that find schedules with the minimum makespan such that the energy limit is satisfied. The first proposed method is a Constraint Programming model and the second one finds the optimal solution by iteratively re-solving aMixed Integer Linear Programming model with a decreasing scheduling horizon. The iterative algorithm exploits the fact that the start times do not need to be modeled explicitly, which leads to an efficient method for solving instances with a higher number of shorter jobs. The experimental results show that our methods outperform an adapted approach from the literature for a related problem.
Název v anglickém jazyce
Scheduling on dedicated machines with energy consumption limit
Popis výsledku anglicky
This work studies a problem of scheduling non-preemptive independent jobs on dedicated machines while considering an energy consumption limit. The problem is motivated by energy-demanding production processes, such as glass tempering and steel hardening, in which a material is heated to high temperature in furnaces. The production companies have contracts with electric utilities that specify a maximum energy consumption limit. If the heating in the furnaces is not planned carefully, the energy spikes overshoot the energy consumption limit, and the companies must pay large penalty fees. In this paper, we propose two exact methods that find schedules with the minimum makespan such that the energy limit is satisfied. The first proposed method is a Constraint Programming model and the second one finds the optimal solution by iteratively re-solving aMixed Integer Linear Programming model with a decreasing scheduling horizon. The iterative algorithm exploits the fact that the start times do not need to be modeled explicitly, which leads to an efficient method for solving instances with a higher number of shorter jobs. The experimental results show that our methods outperform an adapted approach from the literature for a related problem.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
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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/TE01020197" target="_blank" >TE01020197: Centrum aplikované kybernetiky 3</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2019
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
Proceedings of the 8th International Conference on Operations Research and Enterprise Systems
ISBN
978-989-758-352-0
ISSN
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e-ISSN
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Počet stran výsledku
10
Strana od-do
53-62
Název nakladatele
SciTePress
Místo vydání
Madeira
Místo konání akce
Prague
Datum konání akce
19. 2. 2019
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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