| Autor: |
Mehrotra, Prakhar, Fu, Mingang, Huang, Jing, Mahabhashyam, Sai Rajesh, Liu, Minghui, Yang, Ming (Arthur), Wang, Xiaojie, Hendricks, Joseph, Moola, Ranjith, Morland, Daniel, Krozier, Kim, Nie, Tiantian, Sun, Ou, Adbesh, Fereydoun, Zhang, Ti, Shrivastav, Monika, Xu, Jiefeng, Rajan, Sudarshan, Turner, Michael, Tucker, Samuel, Jones, Megan D., Xiao, Fei, Bhargava, Ankush, Deshpande, Deepak, Mokashi, Shwetal, Johnson, Travis, Raman, Chandramouli, Ferguson, Megan, Keller, Mike, Donahue, Scott, Bhutta, Rajiv, Akella, Mohan, Musani, Parvez, Venkatesan, Srinivasan, Guggina, David, Furner, John |
| Zdroj: |
INFORMS Journal on Applied Analytics; January 2024, Vol. 54 Issue: 1 p5-19, 15p |
| Abstrakt: |
AbstractWalmart built end to end optimization capabilities in its supply chain to make strategic and operational decisions consisting of network planning and transformation, routing and loading systems and a simulation platform. This optimization-empowered decision framework is evolving and transforming Walmart’s supply chain while keeping its Every-Day-Low-Price (EDLP) promise to its customers. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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