Dan Adelman is a leading expert in Management Analytics, helping companies deploy data and decision analysis to build world-class strategic and tactical management capabilities. By integrating real world data with analytical models, and bringing structure and discipline to decision and control processes, firms can achieve higher profits with lower risk, and attain competitive advantage.
Much of Adelman’s research is based on interactions with firms from a variety of industries, including internet services,
chemical distribution, airlines, third party logistics, fiber-optics manufacturing, semiconductor manufacturing, oil, and healthcare. Recent or current projects include work with Akamai on internet pricing,
with GE Global Research Labs on the electricity smart grid, with BP on gasoline supply contract portfolio optimization, with Symantec
on software release planning, and others including a project on dynamically managing customer goodwill in a B2B setting. Recently, he led a Healthcare Operations Laboratory at Chicago Booth, working with teams of doctoral and MBA students on a portfolio of projects with
major healthcare institutions to optimize clinical, operational, and financial outcomes.
Adelman also conducts research on foundations of the operations research field, including approximate dynamic programming, inventory theory/supply chain management, and revenue management/pricing optimization. He also studies the linkage between operational performance metrics and the financial performance of the firm.
Adelman has received several awards, including the George B. Dantzig Prize in 1998 for the best dissertation in any area of operations research and the management sciences that is innovative and relevant to practice. He publishes regularly and holds editorial positions in leading academic journals. He has served as Associate Editor
for Management Science, currently serves as Associate Editor for Manufacturing and Service Operations Management, and is the Area Editor for Operations and Supply Chain at Operations Research. Adelman has
also sat on the Marketing Council of the Art Institute of Chicago.
He received a PhD in industrial engineering and operations research in 1997, in addition to a bachelor's degree in industrial engineering and
master's degree in operations research from the School of Industrial and Systems Engineering at the Georgia Institute of Technology. Adelman
joined the faculty in 1997. He teaches regularly in the school’s Executive MBA program.
2013 - 2014 Course Schedule
||Approximate Dynamic Programming
||Healthcare Management Analytics Lab
Management analytics; revenue management and pricing optimization; supply chain management, production, inventory, and logistics; approximate dynamic programming; operations strategy and performance analysis; internal pricing mechanisms for operational control; innovation and technology management.
Adelman, D "A Price-Directed Approach to Stochastic Inventory/Routing," Operations Research, 52 (2004).
Adelman, D. and D. Klabjan, "Duality and Existence of Optimal Policies in Generalized Joint Replenishment," Mathematics of Operations Research, 30 (2005).
Adelman D. "Dynamic Bid-Prices in Revenue Management," Operations Research, 55 (2007).
Adelman, D. and A. Mersereau. "Dynamic Capacity Allocation to Customers Who Remember Past Service." Management Science, Volume 59, Number 3, March 2013, pp. 592-612.
D. Adelman and C. Barz. "A Unifying Approximate Dynamic Programming Model for the Economic Lot Scheduling Problem." To appear in Mathematics of Operations Research.
For a listing of research publications please visit
’s university library listing