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MANSCI
2010
106views more  MANSCI 2010»
14 years 10 months ago
Improving Supply Chain Performance and Managing Risk Under Weather-Related Demand Uncertainty
This paper considers a manufacturer-retailer supply chain for a seasonal product whose demand is weather-sensitive. The retailer orders from the manufacturer (supplier) prior to t...
Frank Youhua Chen, Candace Arai Yano
TSP
2010
14 years 6 months ago
Markov chain monte carlo detectors for channels with intersymbol interference
In this paper, we propose novel low-complexity soft-in soft-out (SISO) equalizers using the Markov chain Monte Carlo (MCMC) technique. We develop a bitwise MCMC equalizer (b-MCMC) ...
Ronghui Peng, Rong-Rong Chen, Behrouz Farhang-Boro...
CISS
2008
IEEE
15 years 6 months ago
Near optimal lossy source coding and compression-based denoising via Markov chain Monte Carlo
— We propose an implementable new universal lossy source coding algorithm. The new algorithm utilizes two wellknown tools from statistical physics and computer science: Gibbs sam...
Shirin Jalali, Tsachy Weissman
NCA
2005
IEEE
15 years 5 months ago
Reducing the Communication Cost via Chain Pattern Scheduling
This paper deals with general nested loops and proposes a novel scheduling methodology for reducing the communication cost of parallel programs. General loops contain complex loop...
Florina M. Ciorba, Theodore Andronikos, Ioannis Dr...
DESRIST
2009
Springer
132views Education» more  DESRIST 2009»
15 years 4 months ago
Measuring information volatility in a health care information supply chain
We propose a measure of reliability called information volatility (IV) to complement Business Intelligence tools when considering aggregated data or when observing trends. Two typ...
Monica Chiarini Tremblay, Donald J. Berndt, Alan R...