Most classical stochastic inventory models assume that replenishment lead times are independent of the amount of orders placed. This assumption is clearly problematic in capacitat...
—As the operating frequency of digital systems increases and voltage swing decreases, it becomes very important to characterize and analyze power distribution networks (PDNs) acc...
Wendemagegnehu T. Beyene, Chuck Yuan, Joong-Ho Kim...
Transportation and logistics are fertile areas for modeling. Simulation has traditionally been used in warehousing and inside the distribution center or processing hub in the truc...
John S. Carson II, Mani S. Manivannan, Mark K. Bra...
We describe a Markov chain Monte Carlo (MCMC)-based algorithm for sampling solutions to mixed Boolean/integer constraint problems. The focus of this work differs in two points from...
Proposed and developed is a service composition framework for decision-making under uncertainty, which is applicable to stochastic optimization of supply chains. Also developed is ...