A large-scale optical network will carry various traffic classes with different fault-tolerance requirements. Several previous papers suggest a preemptive multi-class routing scheme. They have proposed Integer Linear Programming (ILP) formulations to implement this routing scheme and simulate it under the assumption that the traffic holding on the network will not depart. However, in the real w...

Since 1997, the Critical Chain Project Management (CCPM) method has received considerable attention. Hundreds of successful CCPM cases have achieved highly reliable on-time delivery (OTD) with short project lead-time (PLT) in multi-project environments. However, two obstacles have remained, blocking the implementation of CCPM to project management (PM) society. The first has been addressed by P...

totoday’s market place is increasingly dynamic and volatile. in this area supply network issues recently have attracted a lot of attention from industrial practitioners and academics worldwide. chaos theory is the study of complex, nonlinear, dynamic systems. for chaotic systems, a tiny change in conditions may result in an enormous change in system output, whereas substantial changes in condit...

in this paper, the application of neural networks for simulation and optimization of the cogeneration systems has been presented. cgam problem, a benchmark in cogeneration systems, is chosen as a casestudy. thermodynamic model includes precise modeling of the whole plant. for simulation of the steadysate behavior, the static neural network is applied. then using dynamic neural network, plant is...

This paper presents a hybrid heuristic for constrained resource allocation in PERT type networks. Here, the assumption is made that the constrained resource is renewable for allocation to the activities of project. In addition, we consider finish-start precedence constraints with zero time lag. The activities durations are independent continuous random variables, preemption is not allowed and r...

In a PERT network interdiction game one player tries to get a project, represented as a PERT graph, finished as quickly as possible by allocating resources, expediting the project’s tasks and choosing between different technologies to use. At the same time a second player aims to maximally delay the project’s completion date by carefully choosing which tasks to disrupt. We develop a novel conti...

modelling and forecasting stock market is a challenging task for economists and engineers since it has a dynamic structure and nonlinear characteristic. this nonlinearity affects the efficiency of the price characteristics. using an artificial neural network (ann) is a proper way to model this nonlinearity and it has been used successfully in one-step-ahead and multi-step-ahead prediction of di...

The GÉANT2 project established a Performance Enhancement and Response Team (PERT) process [1] in 2004 to assist network users in troubleshooting network performance issues and provide information on how to optimize network performance. This paper presents a summary and conclusions of a PERT case where the aim was to transfer data from an eVLBI radio telescope in Chile to the Netherlands across ...

ToToday’s market place is increasingly dynamic and volatile. In this area supply network issues recently have attracted a lot of attention from industrial practitioners and academics worldwide. Chaos theory is the study of complex, nonlinear, dynamic systems. For chaotic systems, a tiny change in conditions may result in an enormous change in system output, whereas substantial changes in condit...

In this paper we propose a composite Variational Inequality formulation for modeling multi-mode, multi-class and multi-criteria stochastic dynamic user equilibrium problem in recurrent congestion network with queues. The each mode of travelers is classified into two classes. One is the equipped traveler following stochastic dynamic user-equilibrium with less uncertainty of travel cost, another ...