We consider a network planning method that takes into consideration the uncertainties associated with offered traffics when dimensioning ATM networks for prescribed grades of service. Assuming that each reference traffic stream offered between a pair of nodes in a network can only be specified within a lower and upper bound, together with a best guess value, we demonstrate a method for transfor...

In robust optimization, the multi-stage context (or dynamic decision-making) assumes that the information is revealed in stages. So, part of the decisions must be taken before knowing the real values of the uncertain parameters, and another part, called recourse decisions, is taken when the information is known. In this paper, we are interested in a robust version of the location transportation...

One of the weaknesses in conventional routing management is that it bases on given and often ”worst case” traffic matrices. Imprecision in a single element of the traffic matrix could result in inefficient routing decisions and unpredictable performance forecast errors. As the number of communication endpoints and diverse applications grows increasingly, the task to accurately forecast demands ...

The periodic demands of a single product are forecasted and given by a distribution function for each period. The product can be manufactured in n plants with heterogeneous characters. Each plant has its specific stochastic production capability. The expected capability and the standard deviation of each plant can be increased by allocation of additional budgets. The problem is to determine the...

Product tanker shipping companies in the spot market face severe volatility in demand and in price. We explore shipping companies' two problems: evaluating supply and demand of the market and assigning cargoes in order to maximize profitability. By approximating the market as a queueing system, we obtain utilization ratios, which effectively model supply and demand of the market. This approach ...