John Chachere
Biography
Mr. Chachere applies quantitative engineering methods to traditionally qualitative fields such as organizational behavior. His current research identifies theoretical foundations for radical schedule compression in collaborative engineering teams, and interrelates risks in design organizations, products, and processes using a simulation/optimization hybrid approach. Mr. Chachere holds a B.A. from The University of California at Santa Cruz, in Mathematics and Computer Science, and an M.S. degree from Stanford University, in Computer Science. He has served as a Software Engineer and Management Science Consultant at Decision Focus Inc. (now Manugistics), as a Senior Product Manager at Oracle Corporation, and as Director of Communications Technologies at Advanced Care Technologies. His doctoral studies are supported by a Stanford Media-X Kozmetsky Graduate Fellowship and by a grant from the NASA Ames Research Center. Publications
Chachere, J., J. Kunz, and R. Levitt (2004). “Can You Accelerate Your Project Using Extreme Collaboration? A Model Based Analysis” 2004 International Symposium on Collaborative Technologies and Systems; Also available as Center for Integrated Facility Engineering Technical Report T152, Stanford University, Stanford, CA.
Chachere, J., Kunz, J., and Levitt, R. (2004). “Observation, Theory, and Simulation of Integrated Concurrent Engineering: Grounded Theoretical Factors and Risk Analysis Using Formal Models” forthcoming in Project Risk Management Principles and Practices , Institute of Chartered Financial Analysts of India, Banjara Hills, India.
Chachere, J., J. Kunz, and R. Levitt (2004). “Observation, Theory, and Simulation of Integrated Concurrent Engineering: 1. Grounded Theoretical Factors that Enable Radical Project Acceleration” available as Center for Integrated Facility Engineering Working Paper WP087, Stanford University, Stanford, CA.
Chachere, J., J. Kunz, and R. Levitt (2004). “Observation, Theory, and Simulation of Integrated Concurrent Engineering: 2. Risk Analysis Using Formal Models of Radical Project Acceleration” available as Center for Integrated Facility Engineering Working Paper WP088, Stanford University, Stanford, CA.
