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On Idle Energy Consumption Minimization in Production: Industrial Example and Mathematical ModelTopics: Energy and Environment; Linear Programming; Optimization; Scheduling

Keyword(s):Scheduling, Energy Optimization, Operation Modes, Mixed Integer Linear Programming, Parallel Machines.

Abstract: This paper, inspired by a real production process of steel hardening, investigates a scheduling problem to minimize
the idle energy consumption of machines. The energy minimization is achieved by switching a machine
to some power-saving mode when it is idle. For the steel hardening process, the mode of the machine (i.e.,
furnace) can be associated with its inner temperature. Contrary to the recent methods, which consider only
a small number of machine modes, the temperature in the furnace can be changed continuously, and so an
infinite number of the power-saving modes must be considered to achieve the highest possible savings. To
model the machine modes efficiently, we use the concept of the energy function, which was originally introduced
in the domain of embedded systems but has yet to take roots in the domain of production research. The
energy function is illustrated with several application examples from the literature. Afterward, it is integrated
into a mathematical model of a scheduling problem with parallel identical machines and jobs characterized
by release times, deadlines, and processing times. Numerical experiments show that the proposed model
outperforms a reference model adapted from the literature.(More)

This paper, inspired by a real production process of steel hardening, investigates a scheduling problem to minimize the idle energy consumption of machines. The energy minimization is achieved by switching a machine to some power-saving mode when it is idle. For the steel hardening process, the mode of the machine (i.e., furnace) can be associated with its inner temperature. Contrary to the recent methods, which consider only a small number of machine modes, the temperature in the furnace can be changed continuously, and so an infinite number of the power-saving modes must be considered to achieve the highest possible savings. To model the machine modes efficiently, we use the concept of the energy function, which was originally introduced in the domain of embedded systems but has yet to take roots in the domain of production research. The energy function is illustrated with several application examples from the literature. Afterward, it is integrated into a mathematical model of a scheduling problem with parallel identical machines and jobs characterized by release times, deadlines, and processing times. Numerical experiments show that the proposed model outperforms a reference model adapted from the literature.

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Benedikt, O.; Šůcha, P. and Hanzálek, Z. (2020). On Idle Energy Consumption Minimization in Production: Industrial Example and Mathematical Model. In Proceedings of the 9th International Conference on Operations Research and Enterprise Systems - ICORES; ISBN 978-989-758-396-4; ISSN 2184-4372, SciTePress, pages 35-46. DOI: 10.5220/0008877400350046

@conference{icores20, author={Ond\v{r}ej Benedikt. and P\v{r}emysl Šůcha. and Zdeněk Hanzálek.}, title={On Idle Energy Consumption Minimization in Production: Industrial Example and Mathematical Model}, booktitle={Proceedings of the 9th International Conference on Operations Research and Enterprise Systems - ICORES}, year={2020}, pages={35-46}, publisher={SciTePress}, organization={INSTICC}, doi={10.5220/0008877400350046}, isbn={978-989-758-396-4}, issn={2184-4372}, }

TY - CONF

JO - Proceedings of the 9th International Conference on Operations Research and Enterprise Systems - ICORES TI - On Idle Energy Consumption Minimization in Production: Industrial Example and Mathematical Model SN - 978-989-758-396-4 IS - 2184-4372 AU - Benedikt, O. AU - Šůcha, P. AU - Hanzálek, Z. PY - 2020 SP - 35 EP - 46 DO - 10.5220/0008877400350046 PB - SciTePress

- Science and Technology Publications, Lda.RESOURCES