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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
Claim

Benchmark instances and models for the Oven Scheduling Problem

Research datakeyboard_double_arrow_right Dataset 01 Aug 2024 English Publisher:Zenodo
Authors: Marie-Louise Lackner; Christoph Mrkvicka; Nysret Musliu; Daniel Walkiewicz; Felix Winter; Da Ros, Francesca;

doi: 10.5281/zenodo.14007438

Benchmark instances and models for the Oven Scheduling Problem

Abstract

This dataset contains benchmark instances for the Oven Scheduling Problem that was introduced by the authors in Lackner, M.-L., Mrkvicka, C., Musliu, N., Walkiewicz, D., Winter, F., Minimizing Cumulative Batch Processing Time for an Industrial Oven Scheduling Problem. In: 27th International Conference on Principles and Practice of Constraint Programming (CP 2021). Moreover, MiniZinc models and CP Optimizer models as well as the solutions found for the benchmark set are provided.

The financial support by the Austrian Federal Ministry for Digital and Economic Affairs, the National Foundation for Research, Technology and Development and the Christian Doppler Research Association is gratefully acknowledged.

Related Organizations
Keywords

Integer Linear Programming, Industrial Scheduling Problem, Benchmark Instances, Oven Scheduling Problem, Parallel Batch Processing, Constraint Programming

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average