calculated using a discrete event simulation cellular automata (CA) model, with the CA progressing outwards from the fire … comparable results to traditional network analysis techniques when considering travel along roads; however the method was also …

One of the latest developments in network revenue management (RM) is the incorporation of customer purchase behavior … capacity for each resource in the network. But under dependent demand, this is not necessarily the case. In fact, it seems that …

Network data envelopment analysis (DEA) concerns using the DEA technique to measure the relative efficiency of a system … conventional black-box approach, where the operations of the component processes are ignored. This paper reviews studies on network … DEA by examining the models used and the structures of the network system of the problem being studied. This review …

network DEA models been developed to examine the efficiency of DMUs with internal structures. The internal network structures … measures. In general, there are two types of network DEA models. One is developed under the standard multiplier DEA models … necessarily true for the two types of network DEA models. Pitfalls in network DEA are discussed with respect to the determination …

We develop a model for optimal location of retail stores on a network. The objective is to maximize the total profit of … the network subject to a minimum ROI (or ROI threshold) required at each store. Our model determines the location and …

parameter. A common approach to estimating the project volatility in such instances is to use a Monte Carlo simulation where one … the volatility parameter can be determined. Nonetheless, the simulation estimation method originally suggested for this …

quantifies the effects of such behaviour on the warning message dissemination. This paper develops an Agent-Based Simulation (ABS …