Management Science, Volume 39
Institute of Management Sciences, 1993 - Industrial management
Addresses the concerns of organizational decision-makers. Includes contributions from diverse fields: accounting and finance; business strategy; decision analysis; information systems; manufacturing and distribution; marketing; mathematical programming and networks; organization performance; public sector applications; R&D/innovation; stochastic models and simulation; strategy and design; and supply chain management.
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acquisition algorithm allocation alternatives analysis approximation asset assume assumption attributes auction house average batch means benchmark Bitnet capacity card count Carnegie Mellon University choice coefficient compensation computed confidence interval constraints CONWIP correlation cost covariance cross-functional cooperation CTAs Data Envelopment Analysis decision analysis decision maker decision problem demand denote distribution effects Equation estimated example expected Figure firm geometric mean given guarantee HDTV implementation implies incentive increase industry Influence Diagrams input interaction interval inventory investment investors linear Management Sci Management Science maximize measure method multivariate node normally distributed obtained optimal options outcomes paper parameters period phantom portfolio probability problem procedure production profits queue random variable retailer returns risk aversion sample scenarios simulation solution standard deviation statistical stochastic strategy structure Table tactics Theorem tion University utility function variance vector weights