INFORMS J. Appl. Anal.

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Publications

volume 54, number 1, 2024

Yibo Dang, Theodore T. Allen, Manjeet Singh, Jason Gillespie, Jon Cox, James Monkmeyer
Innovative Integer Programming Software and Methods for Large-Scale Routing at DHL Supply Chain. INFORMS J. Appl. Anal. 54 (1) (2024)
Editorial Board. INFORMS J. Appl. Anal. 54 (1) (2024)
Xiaoming Yuan, Pengxiang Zhao, Hanyu Hu, Jintao You, Changpeng Yang, Wen Peng, Yonghong Kang, Kwong Meng Teo
System. INFORMS J. Appl. Anal. 54 (1) (2024)
Yile Liang, Haocheng Luo, Haining Duan, Donghui Li, Hongsen Liao, Jie Feng, Jiuxia Zhao, Hao Ren, Xuetao Ding, Ying Cha, Qingte Zhou, Chenqi Situ, Jinghua Hao, Ke Xing, Feifan Yin, Renqing He, Yang Sun, Yueqiang Zheng, Yipeng Feng, Zhizhao Sun, Jingfang Chen, Jie Zheng, Ling Wang
Meituan's Real-Time Intelligent Dispatching Algorithms Build the World's Largest Minute-Level Delivery Network. INFORMS J. Appl. Anal. 54 (1) (2024)
Hao Hu, Yongzhi Qi, Hau L. Lee, Zuo-Jun Max Shen, Curtis Liu, Weimeng Zhu, Ningxuan Kang
Supercharged by Advanced Analytics, JD.com Attains Agility, Resilience, and Shared Value Across Its Supply Chain. INFORMS J. Appl. Anal. 54 (1) (2024)
Rajesh Tyagi, Pelin Pekgün
Introduction: 2023 Franz Edelman Award for Achievement in Advanced Analytics, Operations Research, and Management Science. INFORMS J. Appl. Anal. 54 (1) (2024)
Prakhar Mehrotra, Mingang Fu, Jing Huang, Sai Rajesh Mahabhashyam, Minghui Liu, Ming (Arthur) Yang, Xiaojie Wang, Joseph Hendricks, Ranjith Moola, Daniel Morland, Kim Krozier, Tiantian Nie, Ou Sun, Fereydoun Adbesh, Ti Zhang, Monika Shrivastav, Jiefeng Xu, Sudarshan Rajan, Michael Turner, Samuel Tucker, Megan D. Jones, Fei Xiao, Ankush Bhargava, Deepak Deshpande, Shwetal Mokashi, Travis Johnson, Chandramouli Raman, Megan Ferguson, Mike Keller, Scott Donahue, Rajiv Bhutta, Mohan Akella, Parvez Musani, Srinivasan Venkatesan, David Guggina, John Furner
Optimizing Walmart's Supply Chain from Strategy to Execution. INFORMS J. Appl. Anal. 54 (1) (2024)
Xabi Azagirre, Akshay Balwally, Guillaume Candeli, Nicholas Chamandy, Benjamin Han, Alona King, Hyungjun Lee, Martin Loncaric, Sébastien Martin, Vijay Narasiman, Zhiwei (Tony) Qin, Baptiste Richard, Sara Smoot, Sean Taylor, Garrett J. van Ryzin, Di Wu, Fei Yu, Alex Zamoshchin
A Better Match for Drivers and Riders: Reinforcement Learning at Lyft. INFORMS J. Appl. Anal. 54 (1) (2024)

volume 54, number 2, 2024

volume 54, number 3, 2024

volume 53, number 3, 2023

volume 53, number 4, 2023

volume 53, number 5, 2023

volume 53, number 6, 2023