This program is offered by the Department of Management Science and Information Systems (MSIS). It is the continuation of the previous concentration in Management Science and the program of Operations ...

Organizations use forecasting methods of production and operations management to implement production strategies. Forecasting involves using several different methods of estimating to determine ...

Once machine learning models make it to production, they still need updates and monitoring for drift. A team to manage ML operations makes good business sense As hard as it is for data scientists to ...

Is the traditional command-and-control operations management model — which reigned supreme for decades in an era of relative stability and predictability — finally dead? All the signs we see say it is ...

Rebecca McClay has 10+ years of experience writing and editing content. Rebecca is an expert in personal finance, business, and financial markets. She received her master's in business journalism from ...

The Operations Management doctoral program trains you to apply theoretical, data-driven or empirical analysis to advance your understanding of how work and processes are, or should be, organized and ...

For any organization to operate efficiently and effectively, it must be managed properly. The oil and gas industry is massive and a key factor in some of the world's largest economies; thus, ...

Facing constant challenges to reduce costs, improve quality, and enhance the patient experience, the healthcare industry needs professionals who not only understand industry standards but also ...

Revenue Operations (RevOps) has quickly become a growing role and discipline sitting at the crosshairs between sales and marketing teams within B2B businesses. The RevOps model, which has changed the ...

The trend is clear. Many enterprises are adopting a cloud-first approach. Gartner, Inc. says that by 2024, more than 45% of IT spending on infrastructure services will shift from traditional data ...