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Peter Schütz
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2020 – today
- 2024
- [j10]Sárka Stádlerová
, Peter Schütz
Multi-period facility location and capacity expansion with modular capacities and convex short-term costs. Comput. Oper. Res. 163: 106395 (2024) - 2023
- [j9]Sárka Stádlerová, Sanjay Dominik Jena, Peter Schütz:
Using Lagrangian relaxation to locate hydrogen production facilities under uncertain demand: a case study from Norway. Comput. Manag. Sci. 20(1): 10 (2023) - [j8]Mohamed Kais Msakni
Using machine learning prediction models for quality control: a case study from the automotive industry. Comput. Manag. Sci. 20(1): 14 (2023) - [j7]Jørgen Bjaarstad Nikolaisen, Sofie Smith Vågen, Peter Schütz
Solving a maritime inventory routing problem under uncertainty using optimization and simulation. Comput. Manag. Sci. 20(1): 27 (2023) - 2022
- [c9]Sárka Stádlerová
Locating Hydrogen Production in Norway Under Uncertainty. ICCL 2022: 306-321 - 2021
- [j6]Ralf Borndörfer
Deutsche Bahn Schedules Train Rotations Using Hypergraph Optimization. INFORMS J. Appl. Anal. 51(1): 42-62 (2021) - [j5]Rihuan Ke
Multi-Task Deep Learning for Image Segmentation Using Recursive Approximation Tasks. IEEE Trans. Image Process. 30: 3555-3567 (2021) - [c8]Sárka Stádlerová
Designing the Hydrogen Supply Chain for Maritime transportation in Norway. ICCL 2021: 36-50 - [c7]Julie Louise Musæus, Håkon Nøstvik, Henrik Andersson
Optimizing Maritime Preparedness Under Uncertainty - Locating Tugboats Along the Norwegian Coast. ICCL 2021: 97-111 - [c6]Anders Risan, Mohamed Kais Msakni
A Neural Network Model for Quality Prediction in the Automotive Industry. APMS (5) 2021: 567-575 - 2020
- [j4]Carl Axel Benjamin Medbøen, Magnus Bolstad Holm, Mohamed Kais Msakni
Combining Optimization and Simulation for Designing a Robust Short-Sea Feeder Network. Algorithms 13(11): 304 (2020) - [c5]Rihuan Ke
Learning to Segment Microscopy Images with Lazy Labels. ECCV Workshops (1) 2020: 411-428 - [c4]Mingyu Li
Analyzing the Impact of the Northern Sea Route on Tramp Ship Routing with Uncertain Cargo Availability. ICCL 2020: 68-83 - [c3]Ebba Celius, Madeleine Reehorst, Heidi C. Dreyer, Peter Schütz
Quantifying the Effect of Flexibility and Information Sharing in Transportation Planning. ICCL 2020: 326-341 - [i3]Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Mark Kirkland, Peter Schütz, Carola-Bibiane Schönlieb:
Multi-task deep learning for image segmentation using recursive approximation tasks. CoRR abs/2005.13053 (2020)
2010 – 2019
- 2019
- [c2]Alireza Ashrafian, Daryl J. Powell, Jonas A. Ingvaldsen, Heidi C. Dreyer, Halvor Holtskog, Peter Schütz, Elsebeth Holmen, Ann-Charlott Pedersen, Eirin Lodgaard:
Sketching the Landscape for Lean Digital Transformation. APMS (1) 2019: 29-36 - [i2]Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Peter Schütz, Carola-Bibiane Schönlieb:
A multi-task U-net for segmentation with lazy labels. CoRR abs/1906.12177 (2019) - 2012
- [c1]Reiner Fageth, Peter Schütz, Thomas Wagner:
Kind of images in printed photo books. Imaging and Printing in a Web 2.0 World 2012: 83020A
2000 – 2009
- 2009
- [j3]Peter Schütz, Asgeir Tomasgard
Supply chain design under uncertainty using sample average approximation and dual decomposition. Eur. J. Oper. Res. 199(2): 409-419 (2009) - 2008
- [j2]Peter Schütz, Leen Stougie, Asgeir Tomasgard
Stochastic facility location with general long-run costs and convex short-run costs. Comput. Oper. Res. 35(9): 2988-3000 (2008) - 2006
- [j1]John v. d. Broek, Peter Schütz, Leen Stougie, Asgeir Tomasgard
Location of slaughterhouses under economies of scale. Eur. J. Oper. Res. 175(2): 740-750 (2006) - 2005
- [i1]Peter Schütz, Leen Stougie, Asgeir Tomasgard:
Facility location with uncertain demand and economies of scale. Algorithms for Optimization with Incomplete Information 2005
Coauthor Index
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