The Analytics of Robust Satisficing: Predict, Optimize, Satisfice, Then Fortify
- Melvyn Sim ,
Melvyn Sim
[email protected]https://orcid.org/0000-0001-9798-2482
Department of Analytics & Operations (DAO), NUS Business School, National University of Singapore, Singapore 119245
- Qinshen Tang ,
Qinshen Tang
[email protected]https://orcid.org/0000-0002-9742-6563
Division of Information Technology and Operations Management, Nanyang Business School, Nanyang Technological University, Singapore 639956
- Minglong Zhou ,
Minglong Zhou
[email protected]https://orcid.org/0000-0002-3249-571X
Department of Management Science, School of Management, Fudan University, Shanghai 200433, China
- Taozeng Zhu
Corresponding Author
Taozeng Zhu
[email protected]https://orcid.org/0000-0003-2202-9261
Institute of Supply Chain Analytics, Dongbei University of Finance and Economics, Dalian 116025, China
Melvyn Sim
[email protected]https://orcid.org/0000-0001-9798-2482
Department of Analytics & Operations (DAO), NUS Business School, National University of Singapore, Singapore 119245
Qinshen Tang
[email protected]https://orcid.org/0000-0002-9742-6563
Division of Information Technology and Operations Management, Nanyang Business School, Nanyang Technological University, Singapore 639956
Minglong Zhou
[email protected]https://orcid.org/0000-0002-3249-571X
Department of Management Science, School of Management, Fudan University, Shanghai 200433, China
Corresponding Author
Taozeng Zhu
[email protected]https://orcid.org/0000-0003-2202-9261
Institute of Supply Chain Analytics, Dongbei University of Finance and Economics, Dalian 116025, China

