Senthil Veeraraghavan

 

 


 

Senthil Veeraraghavan researches on the role of Information and Uncertainty in Operations Management, using Theory and Data Analysis. His current research is on operational implications of consumer choice behavior in queues and services.

His research has appeared in Management Science, Operations Research, Manufacturing and Service Operations Management and Production and Operations Management jounals. In 2013, his paper on Quality Speed Tradeoff issues in services won the first award for Best paper in Operations published in Management Science.

Currently, Senthil teaches Operations Strategy and Operations Management classes for which he received the 2013 and 2014 Wharton Excellence in Teaching Awards.

Senthil graduated from Indian Institute of Technology, Bombay and received his Phd from Carnegie Mellon University.

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Dec 12th 2016

This course is designed to impact the way you think about transforming data into better decisions. Recent extraordinary improvements in data-collecting technologies have changed the way firms make informed and effective business decisions. The course on operations analytics, taught by three of Wharton’s leading experts, focuses on how the data can be used to profitably match supply with demand in various business settings. In this course, you will learn how to model future demand uncertainties, how to predict the outcomes of competing policy choices and how to choose the best course of action in the face of risk. The course will introduce frameworks and ideas that provide insights into a spectrum of real-world business challenges, will teach you methods and software available for tackling these challenges quantitatively as well as the issues involved in gathering the relevant data.

Average: 10 (2 votes)
Dec 12th 2016

Useful quantitative models help you to make informed decisions both in situations in which the factors affecting your decision are clear, as well as in situations in which some important factors are not clear at all. In this course, you can learn how to create quantitative models to reflect complex realities, and how to include in your model elements of risk and uncertainty.

Average: 8.5 (4 votes)