This paper describes a Benders decomposition algorithm capable of efficiently solving large-scale instances of the well-known multi-commodity capacitated network design problem with demand uncertainty. The problem is important because it models many real-world applications, including telecommunications, transportation, and logistics. This problem has been tackled in the literature with meta-heu...

in this paper we present the problem of designing a three level hub center network. in our network, the top level consists of a complete network where a direct link is between all central hubs.  the second and third levels consist of star networks that connect the hubs to central hubs and the demand nodes to hubs and thus to central hubs, respectively. we model this problem in an incomplete net...

In this study, we have concerned with a hierarchical logistic network design problem from two aspects that have been scarcely considered previously though they are very common in real-world. That is, to cope with a multi-commodity problem and a problem with stair-wised discount cost of transportation effectively as well as practically, we have developed the extended hybrid tabu search method fo...

domestic tourism has an important role in socio-economic development in several ways including creating jobs and improving income distribution. although several researcheshave been done on tourism demand, a small proportion of them have been on domestic tourism. in this paper, the price and expenditure elasticities of the household demand for domestic tourism in iran, focusing on the case of ha...

Robustness of optimal solutions when solving network design problems is of great importance because of uncertainty in future demand. In this research the optimization of infrastructure planning in a multimodal passenger transportation network is defined as a multiobjective network design problem, with accessibility, use of urban space by parking, operating deficit and climate impact as objectiv...

An upper boundary point for a demand vector is defined to be a system state vector for which the system capacity is equal to the demand vector, and an increase in its unsaturated components leads to at least one unit of increase in system capacity. System capacity of a singlecommodity stochastic-flow network is the maximum flow from the source node to the sink node of the network. Extending the...

This research presents the Enhanced Commodity Forward Buy (ECFB) heuristic, a new method for commodity purchasing, which allows strategic forward buying of commodities for products that include commodity components or materials. The Enhanced Commodity Forward Buy addresses limitations of existing methods by considering stochastic demand and stochastic commodity prices for products that contain ...

In this paper, a stochastic programming approach is applied to the airline network revenue management problem. The airline network with the arc capacitated single hub location problem based on complete–star p-hub network is considered. We try to maximize the profit of the transportation company by choosing the best hub locations and network topology, applying revenue management techniques to al...

The scale of the global chemical industry is enormous: in 2003, the total value of global production exceeded US$1.7 trillion. International logistics is especially crucial to the high-value chemicals industry, since raw materials sources, production facilities, and consumer markets are distributed globally. Fluctuating demand, imbalanced trade flows, and expensive transportation equipment nece...