Ruijiu Mao

OM 423 - Prescriptive Analytics

Prescriptive analytics involves the use of data, mathematical models, and algorithms to identify optimal solutions for achieving organizational goals. This process builds on descriptive and predictive analytics, going beyond the interpretation of past events and the forecasting of future scenarios to also provide advice on the most effective actions to meet business objectives. Students acquire the skills to convert complex business problems into mathematical models, and employ Python programming and commercial solvers to derive optimal decisions. Evaluation components will consist of assignments, case studies, group projects, and two midterm exams. Prerequisites: OM 252 or 352

OM 461 - Distribution and Logistics Analytics

Prescriptive analytics modeling of efficient distribution of goods and services from points of origin to customers. Topics include strategic decisions, such as aggregate distribution plans and warehouse location, as well as operational decisions, such as selection of delivery routes and dispatching. Formulation and solution of models to prescribe optimal decisions using exact and heuristic methods. This course involves extensive computer modeling and heuristic design. Prerequisite: MGTSC 312 and OM 352.

OM 623 - Prescriptive Analytics

Prescriptive analytics involves the use of data, mathematical models, and algorithms to identify optimal solutions for achieving organizational goals. This process builds on descriptive and predictive analytics, going beyond the interpretation of past events and the forecasting of future scenarios to also provide advice on the most effective actions to meet business objectives. Students acquire the skills to convert complex business problems into mathematical models, and employ Python programming and commercial solvers to derive optimal decisions. Evaluation components will consist of assignments, case studies, group projects, and two midterm exams. Prerequisites: OM 502.

OM 661 - Distribution and Logistics Analytics

Prescriptive analytics modeling of efficient distribution of goods and services from points of origin to customers. Topics include strategic decisions, such as aggregate distribution plans and warehouse location, as well as operational decisions, such as selection of delivery routes and dispatching. Formulation and solution of models to prescribe optimal decisions using exact and heuristic methods. The course involves extensive computer modeling and heuristic design. Prerequisite: MGTSC 501.

Browse more courses taught by Ruijiu Mao

Long He, Nan Ke, Ruijiu Mao, Wei Qi, Hongcai Zhang

Manufacturing & Service Operations Management. 2024 September; 10.1287/msom.2022.0381