INFOR: Information Systems and Operational Research, Volume 62, Issue 2 (2024)

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INFOR: Information Systems and Operational Research, Volume 62, Issue 2 (2024)

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Special Issue on Operations Research and Machine Learning

Editorial

Editorial
Editorial: Special issue on operations research and machine learning
Hadi A. Khorshidi, Marzieh Soltanolkottabi, Richard Allmendinger & Uwe Aickelin
Pages: 183-185
Published online: 28 Mar 2024
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Research Articles

Article
Real-time production scheduling using a deep reinforcement learning-based multi-agent approach
Sharareh Taghipour, Hamed A. Namoura, Mani Sharifi & Mageed Ghaleb
Pages: 186-210
Published online: 03 Mar 2024
AbstractforReal-time production scheduling using a deep reinforcement learning-based multi-agent approach | Full Text | References | PDF (1.5 MB) | EPUB
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Article
A reinforcement learning based dynamic room pricing model for hotel industry
Gamze Tuncay, Kıymet Kaya, Yaren Yılmaz, Yusuf Yaslan & Şule Gündüz Öğüdücü
Pages: 211-231
Published online: 19 Jul 2023
AbstractforA reinforcement learning based dynamic room pricing model for hotel industry | Full Text | References | PDF (2.2 MB) | EPUB
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Article
Cloud model-based best-worst method for group decision making under uncertainty
Behzad Minaei, Hadi Akbarzadeh Khorshidi, Uwe Aickelin & Arash Geramian
Pages: 232-258
Published online: 12 Oct 2023
AbstractforCloud model-based best-worst method for group decision making under uncertainty | Full Text | References | PDF (1.6 MB) | EPUB
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Research Letter
The recommender problem with convex hulls
Marie-Laure Bougnol & José H. Dulà
Pages: 259-272
Published online: 05 Feb 2024
AbstractforThe recommender problem with convex hulls | Full Text | References | PDF (1.2 MB) | EPUB
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Article
Warranty operation enhancement through social media knowledge: a deep-learning methods
Zahra Sarmast Hasan Kiadeh, Sajjad Shokouhyar, Arash Omarzadeh & Sina Shokoohyar
Pages: 273-311
Published online: 22 Apr 2024
AbstractforWarranty operation enhancement through social media knowledge: a deep-learning methods | Full Text | References | PDF (2.7 MB) | EPUB
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