Byung-Cheol Kim, Ph.D.

Byung-Cheol Kim, Ph.D.
Assistant Professor of Project and Supply Chain Management, Project and Supply Chain Management and MPM programs
Office Phone
Office Location
265 Burke
PENN STATE BEHREND
281 BURKE CENTER
ERIE PA 16563
Biography

Dr. Kim earned his Ph.D. at Texas A&M university and has more than twelve years experience. Dr. Kim also is also a recipient of the best teacher award in engineering college and the best paper award at American Society of Civil Engineering.

Research Interests

Project risk analysis; Project cost forecasting; Schedule forecasting; Probabilistic IRR and payback period analysis; Bayesian modeling; Monte Carlo simulation. A dozen of papers were published in prominent journals such as IEEE Transactions on Engineering Management, etc.

Publications

What CPI = 0.85 Really Means: A Probabilistic Extension of the Estimate at Completion, Journal of Management in Engineering - March, 2019
Collaborator: Jeffrey Pinto, Co-Author

Improving the Accuracy and Operational Predictability of Project Cost Forecasts: An Adaptive Combination Approach, Production Planning & Control - May 4, 2018
Collaborator: Young Hoon Kwak, Co-Author

Cost Performance as a Stochastic Process: EAC Projection by Markov Chain Simulation, Journal of Civil Engineering and Management (ABS 2) - June, 2016
Collaborators: Jing Du, Author; Dong Zhao, Co-Author

Probabilistic Evaluation of Cost Performance Stability in Earned Value Management., Journal of Management in Engineering (ABS 2) - January 1, 2016

Dynamic Control Thresholds for Consistent Earned Value Analysis and Reliable Early Warning, Journal of Management in Engineering (ABS 2) - September 1, 2015

Integrating Risk Assessment and Actual Performance for Probabilistic Project Cost Forecasting: A Second Moment Bayesian Model, IEEE Transactions on Engineering Management (ABS 3) - May 11, 2015

Credibility Evaluation of Project Duration Forecast using Forecast Sensitivity and Forecast-risk Compatibility, Journal of Civil Engineering and Management (ABS 2) - March 30, 2015
Collaborator: Seong Jin Kim, Co-Author

Chemical Plant Construction: Probabilistic Schedule Forecasting and Risk Assessment - September 30, 2014

Sensitivity of Earned Value Schedule Forecast to S-curve Patterns, Journal of Civil Engineering and Management (ABS 2) - February, 2014
Collaborator: Hyung-Kin Kim, Co-Author

Batch-size Based Repetitive Scheduling Method - 2013
Collaborator: Euysup Shim, Author

Dealing with Uncertainty, The Industrial Engineer Magazine - September 1, 2013
Collaborators: Euysup Shim, Co-Author; Kenneth Reinschmidt, Co-Author

Probability Distribution of the Project Payback Period using the Equivalent Cash Flow Decomposition, The Engineering Economist - May 13, 2013
Collaborator: Kenneth Reinschmidt, Co-Author

Cash-flow Simulation Game for Teaching Project Cash-flow Forecasting - May 1, 2013
Collaborators: Euysup Shim, Author; Seongchan Kim, Co-Author

Reclaiming Multifaceted Financial Risk Information from Correlated Cash Flows under Uncertainty - January 11, 2013
Collaborators: Euysup Shim; Seong Jin Kim

A Second Moment Approach to Probabilistic IRR using Taylor Series, The Engineering Economist - February 01, 2012
Collaborator: Kenneth Reinschmidt, Co-Author

Combination of Project Cost Forecasts in Earned Value Management, Journal of Construction Engineering and Management (ABS 2) - November 01, 2011
Collaborator: Kenneth Reinschmidt, Co-Author

Probabilistic Performance Risk Evaluation of Infrastructure Projects - April 11, 2011

Probabilistic Forecasting of Project Duration Using Kalman Filter and the Earned Value Method, Journal of Construction Engineering and Management (ABS 2) - August, 2010
Collaborator: Kenneth Reinschmidt, Co-Author

Probabilistic Forecasting of Project Duration Using Bayesian Inference and the Beta Distribution, Journal of Construction Engineering and Management - 2009
Collaborator: K. Reinschmidt, Co-Author

Project Schedule Risk Assessment and Completion Prediction Using a Bayesian Forecasting Method - April 18, 2008
Collaborator: K. Reinschmidt, Co-Author

An S-Curve Bayesian Model for Forecasting Probability Distributions on Project Duration and Cost at Completion - July 15, 2007
Collaborator: K. Reinschmidt, Co-Author

Introduction to Project Management - 2003

Education

Ph D, Construction Engineering and Management , Texas A&M University

MS, Civil Engineering, Seoul National University

BS, Civil Engineering, Seoul National University