David Schilling

Background

David Schilling is professor Emeritus of Management Sciences. He joined Fisher in 1978 after receiving his PhD from Johns Hopkins University. His research and consulting in the public and private sectors focuses on business analytics, specifically in the design and implementation of computerbased tools to support management decision making. He teaches courses in business analytics, including data analysis/statistics in the MBA, Executive MBA and Master of Business Operational Excellence programs, as well as optimization and simulation modeling in the BSBA and MBA programs.

Schilling’s research has appeared in Management Science, Journal of Operations Management, Decision Sciences, Business Logistics, Management Information Systems Quarterly and European Journal of Operations Research. A 2008 article in the J_ournal of Operations Management_ ranked him 33rd among over 1,300 American business school operations management professors based upon impact of research publications. Schilling is founding chair of the College on Location Analysis of the Institute for Operations Research and Management Science, and also has served as chair of the College on Information Systems of the same institute. 

Within Fisher, Schilling served as chair of the Department of Management Sciences for eight years and is formerly academic director of the MBA program. He most recently served as Director of Fisher''s General Business Programs, which include distance delivery of courses to Ohio State''s regional campuses.

Awards

Pace Setters BosticGeorges Faculty Service Award, 2013 Dean''s Summer Research Fellowship, 2011, 2012, 2013 Undergraduate Program Teaching Award, 2002

Areas of Expertise

Supply chain management analysis and design Optimization and simulation modeling Facility location decisions Distribution systems

Education

PhD in Management Science, Johns Hopkins University BS in Physics, Miami University

Courses

BUSMGT 4233 Operations Management Analytics

A study of data and modeling tools used in operations management. Emphasis is spreadsheet and database applications. Prereq: 2320 (330), 2321 (331), 3230 (630), and AcctMIS 2200 (211), 2300 (212), and BusMHR 2291 or 2292 (BusADM 499.01). Not open to students with credit for 733.

BUSMGT 6221 Data Analysis for Financial Management Part I

Introduction to data analysis and statistics for business. Emphasis on achieving an applicationoriented understanding of statistical inference and regression analysis and their use in decision making. Part I of 2 course sequence. Prereq: Enrollment in MBOE or SMBFinance Program Course. Not open to students with credit for 870. This course is progress graded.

BUSMGT 6222 Data Analysis for Financial Management Part II

Introduction to data analysis and statistics for business. Emphasis on achieving an applicationoriented understanding of statistical inference and regression analysis and their use in decision making. Part 2 of 2 course sequence. Prereq: Enrollment in MBOE or SMBFinance Program Course. Concur: 6221. Not open to students with credit for 870.

BUSMGT 7222 Simulation, Risk Analysis, and Decision Making

Focuses on analyzing management decisions that involve uncertainty, risk and complexity. Students will explore the Monte Carlo simulation, forecasting and decision tree analytical methods with a strong emphasis on their proper use and application. Prereq: MBA 6271. Not open to students with credit for 855.

MBA 6270 Data Analysis for ManagersEMBA

Introduction to data analysis and statistics for business. Emphasis on achieving an applicationoriented understanding of statistical inference and regression analysis and their use in decision making. Prereq: Enrollment in Executive MBA program or permission of instructor. Not open to students with credit for 870.