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INFOR: Information Systems and Operational Research, Volume 62
Volume 62, Number 1, January 2024
- Ibrahim O. Oguntola, M. Ali Ülkü, Ahmed Saif, Alexander Engau:
On the value of shipment consolidation and machine learning techniques for the optimal design of a multimodal logistics network. 1-52 - Zhongmiao Sun, Qi Xu, Jinrong Liu:
Is blockchain technology desirable? When considering power structures and consumer preference for blockchain. 53-99 - Yu Shi, Wei Zhao:
An Integrated machine learning and DEA-predefined performance outcome prediction framework with high-dimensional imbalanced data. 100-129 - Dawei Wang, Xiaoqi Zhang, Sheng Ang, Feng Yang:
Aggregation of meta-technology ratio in DEA framework using the evidential reasoning approach. 130-152 - Xiangyang Tao, Qingxian An, Ya Chen, Peter Bogetoft:
Cost of effort in benchmarking: exploration and applications. 153-181
Volume 62, Number 2, May 2024
- Hadi Akbarzadeh Khorshidi, Marzieh Soltanolkottabi, Richard Allmendinger, Uwe Aickelin:
Editorial: Special issue on operations research and machine learning. 183-185 - Sharareh Taghipour, Hamed A. Namoura, Mani Sharifi, Mageed Ghaleb:
Real-time production scheduling using a deep reinforcement learning-based multi-agent approach. 186-210 - Gamze Tuncay, Kiymet Kaya, Yaren Yilmaz, Yusuf Yaslan, Sule Gündüz Ögüdücü:
A reinforcement learning based dynamic room pricing model for hotel industry. 211-231 - Behzad Minaei, Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Arash Geramian:
Cloud model-based best-worst method for group decision making under uncertainty. 232-258 - Marie-Laure Bougnol, José H. Dulá:
The recommender problem with convex hulls. 259-272 - Zahra Sarmast Hasan Kiadeh, Sajjad Shokouhyar, Arash Omarzadeh, Sina Shokoohyar:
Warranty operation enhancement through social media knowledge: a deep-learning methods. 273-311
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