Faculty & Research

Baris Ata

Professor of Operations Management

Phone :
1-773-834-2344
Address :
5807 South Woodlawn Avenue
Chicago, IL 60637

Baris Ata, Professor of Operations Management, takes a problem-driven approach to bridge the theory and practice of operations management. Ata uses stochastic models to study Delivery of Healthcare Services, Sustainable Operations, Management of Manufacturing and Service Operations, Queueing Theory and Revenue Management.

Prior to joining Booth, Ata was a faculty member at Kellogg School of Management at Northwestern University for ten years, where he taught Operations Management, Operations Strategy, and Analytical Decision Modeling with Spreadsheets. Ata received his Ph.D. degree in Operations, Information, and Technology from the Graduate School of Business at Stanford University in 2003. Prior to his academic career, he worked for McKinsey & Co.

Ata serves as an Associate Editor for Mathematics of Operations Research, Operations Research, Management Science and Manufacturing & Service Operations Management.

 

2013 - 2014 Course Schedule

Number Name Quarter
36106 Managerial Decision Modeling 2013 (Fall)
36106 Managerial Decision Modeling 2014 (Summer)
36801 Managerial Decision Modeling 2014 (Summer)

REVISION: On Hospice Operations Under Medicare Reimbursement Policies
Date Posted: Oct  31, 2013
This paper analyzes the United States Medicare hospice reimbursement policy. The existing policy consists of a daily payment for each patient under care with a global cap of revenues accrued during the Medicare year, which increases with each newly admitted patient. We investigate the hospice’s expected profit and provide reasons for a spate of recent provider bankruptcies related to the reimbursement policy; recommendations to alleviate these problems are given. We also analyze a hospice’s incentives for patient management, finding several unintended consequences of the Medicare reimbursement policy. Specifically, a hospice may seek short-lived patients (such as cancer patients) over patients with longer expected length-of-stay and the effort with which they seek-out, or recruit, such patients will vary during the year. Further, the effort they apply to actively discharge patients whose condition has stabilized may also depend on the time of year. These phenomena are unintended and ...

New: The Value of Partial Resource Pooling: Should a Service Network Be Integrated or Product-Focused?
Date Posted: Feb  07, 2013
We investigate how network design impacts capacity requirements and responsiveness, which is a natural performance indicator of quality of service. Inspired by the contrasting network design approaches of FedEx and UPS, we study when two service classes (e.g., express or regular) should be served by dedicated resources (e.g., air or ground) or by an integrated network. We present analytic expressions for the delay distributions and the network integration value, which show how the value of netwo

New: Harvest: Organic Waste Recycling with Energy Recovery (B)
Date Posted: Mar  18, 2012
This case describes the waste management industry and a clean technology solution for landfill diversion and renewable energy production. The (A) case focuses on the operational characteristics of waste management and waste to energy, and the characteristics of the waste management industry. The intent of the (A) case is to have students perform operational analysis on the organic waste to energy process to evaluate whether a potential new plant is economically feasible and attractive. The (B) c

New: Harvest: Organic Waste Recycling with Energy Recovery (A)
Date Posted: Mar  18, 2012
This case describes the waste management industry and a clean technology solution for landfill diversion and renewable energy production. The (A) case focuses on the operational characteristics of waste management and waste to energy, as well as the characteristics of the waste management industry. The intent of the (A) case is to have students perform operational analysis on the organic waste to energy process to evaluate whether a potential new plant is economically feasible and attractive. Th