Data-Driven Approach to Grade Change Scheduling Optimization in a Paper Machine-Reference-Cited by-同舟云学术

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Data-Driven Approach to Grade Change Scheduling Optimization in a Paper Machine

Published:2020-03-13 Issue:17 Volume:59 Page:8281-8294
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Mostafaei Hossein¹^ORCID,Ikonen Teemu¹,Kramb Jason²,Deneke Tewodros³,Heljanko Keijo³,Harjunkoski Iiro¹⁴

Affiliation:

1. Department of Chemical and Metallurgical Engineering, School of Chemical Engineering, Aalto University, 02150 Espoo, Finland

2. UPM Communication Papers, 00100 Helsinki, Finland

3. Department of Computer Science, University of Helsinki, 00560 Helsinki, Finland

4. ABB Power Grids Research, Kallstadter Str. 1, 68309 Mannheim, Germany

Funder

Academy of Finland

CSC Finland

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

http://pubs.acs.org/doi/pdf/10.1021/acs.iecr.9b06907

Reference29 articles.

1. Supply chain optimisation for the process industries: Advances and opportunities

2. Integration of production planning and scheduling: Overview, challenges and opportunities

3. Enterprise-wide optimization: A new frontier in process systems engineering

4. Continuous-time versus discrete-time approaches for scheduling of chemical processes: a review

5. Scope for industrial applications of production scheduling models and solution methods

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1. Plant-wide optimal scheduling of multi-grade PET production with time window constraints: A hybrid discrete/continuous-time optimization formulation;Computers & Chemical Engineering;2024-07

2. Combining Machine Learning with Mixed Integer Linear Programming in Solving Complex Scheduling Problems;Computer Aided Chemical Engineering;2022

3. The evolution of production scheduling from Industry 3.0 through Industry 4.0;International Journal of Production Research;2021-05-19

4. Robust Optimization for Scheduling and Lot-sizing of a Single Machine with Sequence-dependent Changeovers;31st European Symposium on Computer Aided Process Engineering;2021

5. Synergistic and Intelligent Process Optimization: First Results and Open Challenges;Industrial & Engineering Chemistry Research;2020-07-31

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