This paper studies the problem of optimal flow control in dynamic inventory systems. A dynamic optimal distribution problem, including time-varying supply and demand, capacity constraints on the transportation lines, and convex flow cost functions of Legendre-type, is formalized and solved. The time-varying optimal flow is characterized in terms of the time-varying dual variables of a correspon...

This paper reports on the evaluation of alternative algorithms for dynamic, or time-varying, equilibrium traffic assignment. The algorithms are used for pre-trip assignment, which reflects driver familiarity with expected traffic conditions, and are appropriate for off-line applications which require a more detailed analysis – such as temporal network flows and sensitivity to traffic control me...

Since 1950, information flows have been in the centre of scientific research. Up until internet penetration in the late 90s, these studies were based over traditional offline social networks. Several observations in “offline” information flows studies, such as two-step flow of communication and the importance of weak ties, were verified in several “online” studies, showing that the diffused inf...

In this paper, we develop a dynamic framework for the modeling and analysis of supply chain networks with corporate social responsibility through integrated environmental decision-making. Through a multilevel supply chain network, we model the multicriteria decision-making behavior of the various decision-makers (manufacturers, retailers, and consumers), which includes the maximization of profi...

Context awareness can help build dynamic networks by enabling them to automatically adapt to the user’s activities, computational environment, and network conditions. Our approach in building context-aware networks uses flow context: information about the intrinsic and low-level characteristics of flows, as well as the nature of the applications, devices, and the activities, intentions, prefere...

This paper deals with diffusion processes in dynamic networks. We propose new notions for measuring the exposure of a node to diffusion processes taking place over the network, that is the likelihood of the node to be affected by such processes. We introduce different exposure scores, based either on contacts or on flows in the dynamic network. We study the distribution of these values in the e...

In this paper, we develop a static electric power supply chain network equilibrium model with known demands and establish the equivalence between the model and a transportation network equilibrium model with fixed demands over an appropriately constructed supernetwork. This equivalence yields a new interpretation of electric power supply chain network equilibria in path flows. We then exploit t...

In this paper, we propose a rigorous dynamic supernetwork theory for the integration of social networks with financial networks with intermediation in the presence of electronic transactions. We consider decision-makers with sources of funds, financial intermediaries, as well as demand markets for the various financial products. Through a multilevel supernetwork framework consisting of the fina...