Current network modeling practices usually assess the network performance at specified time interval, i.e. every 5 or 10 years time horizon. Furthermore, they are usually based on partially predictable data, which are being generated through various stochastic procedures. In this research, a new quantitative based methodology which combines combinatorial optimization modeling and transportation...

This paper presents a bi-objective capacitated hub arc location problem with single assignment for designing a metro network with an elastic demand. In the literature, it is widely supposed that the network created with the hub nodes is complete. In this paper, this assumption is relaxed. Moreover, in most hub location problems, the demand is assumed to be static and independent of the location...

The uniform delivered price is the price contains mill price and transportation cost. Although the firms bear the transportation cost, practically the firms would pass all or part of transportation cost through to consumers. The research finds that, as the demand curve slopes downward or there exists competitors or potential competitors, the U.D.P. firms neither can pass all of transportation c...

The transportation system comprises many sub-systems often characterized by the mode of transport involve, the geographical nature of its location or the types of transportation activity engaged upon. This article examines how economists view the transportation system and looks at some of the key concepts that they deploy in their analyses. The network nature of transportation systems generates...

in this article we present an algorithm for converting a network problem with several sources and several sinks including several transfer nodes and condition of supplying the demand of any sink from a particular source to the transportation problem.  towards this end, and considering the very special structure of transportation algorithm, after implementing the shortest path algorithm or solvi...

Electrified transportation and power systems are mutually coupled networks. In this paper, a novel framework is developed for interdependent power and transportation networks. Our approach constitutes solving an iterative least cost vehicle routing process, which utilizes the communication of electrified vehicles (EVs) with competing charging stations to exchange data, such as electricity price...

Though, in the literature, many heuristic approaches were developed in getting an initial solution, VAM (Vogel’s approximation method) is considered to be a better efficient heuristic approach since it often provides an optimal or near optimal solution to the transportation problem. In general, transportation problems involved in supply-chain management fields are unbalanced (total supply > tot...

We consider a segment of a supply chain comprising an inventory system and a transportation system that cooperate in the fulfillment of stochastic customer orders. The inventory system is operated under a discrete time (s, q) policy with backorders. In a system of this kind accumulated backorders introduce lumpiness of transportation demand into the system. We study the connection between the s...