Research on knowledge management (KM) readiness has matured. However, recent organizational structures have emerged which prevent traditional instruments from adequately measuring...
Mark Keith, Michael Goul, Haluk Demirkan, Jason Ni...
The advent of networking technologies and high performance transport protocols facilitates the service of storage over networks. However, they pose challenges in integration and i...
Jiesheng Wu, Pete Wyckoff, Dhabaleswar K. Panda, R...
We propose a nonparametric Bayesian factor regression model that accounts for uncertainty in the number of factors, and the relationship between factors. To accomplish this, we pr...
Bayesian methods are now used in a variety of ways in discrete-event simulation. Applications include input modeling, response surface modeling, uncertainty analysis, and experime...
We describe flexible optimization models for the production and distribution of liquefied atmospheric gases. A simulation engine that interacts with the optimization models is use...
Wasu Glankwamdee, Jeff T. Linderoth, Jierui Shen, ...