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

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 ...

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 ...

Authors, Tom Seubert and Grant Vokey, explain how the newest edition of their book, Manufacturing Execution Systems: An Operations Management Approach, Second Edition, helps MOM practitioners ...

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 ...

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 ...

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 ...

DatacenterDynamics is the world's largest data center publication. We publish news, magazine features, and podcasts about the ...

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, ...