In this paper, we present a multi-stage stochastic programming model that integrates financial hedging decisions into the planning of strategic production networks under uncertain exchange rates and product demands. This model considers the expenses of production plants and the revenues of...

We characterize dynamic rational addiction to a harmful product by an informed individual who is connected to a network of users of the addictive product. The network harms the individual and imposes peer pressure on her to consume the addictive product. The network contributes to the state...

We use minority game model to investigate evolutionary dynamics in complex networks of adaptive agents competing for limited resources. We show that the dynamics and the associated phase structures critically depend on the underlying network organizations, and evolution is a key mechanism for...

In this paper, we demonstrate how a new network performance/efficiency measure, which captures demands, flows, costs, and behavior on networks, can be used to assess the importance of network components and their rankings.We provide new results regarding the measure, which we refer to as the...

The Optimization principles are now considered center of Supply Chain Management (SCM) process. In this paper we will review conceptually the general approach of Optimization of Supply Chain Network for manufacturers. The mathematical modelling which are used for the designing Supply Chain...

In this paper we apply a general model of one-sided platform businesses to a duopoly competitive framework. We have a particular interest in how the option of multi-homing affects the competitive dynamic. We find that if multi-homing is precluded, the incumbent platform is always able to...

Problem definition: We study the following seminal stochastic multiproduct dynamic-pricing problem, analyzed originally in Gallego and Van Ryzin (1997) – GVR, for short. A firm has a finite inventory of a set of resources needed to produce products that can be sold over a finite horizon. The...

This paper studies the problem of optimal path selection in a directed network by decision makers that have an intrinsic distaste for evaluating too many options. We propose a recursive logit model that incorporates choice aversion along the lines introduced by Fudenberg and Strzalecki (2015)....

Recently, the standard dynamic programming model of network revenue management has been extended for integrated upgrade decision-making. However, opposed to the original model, heuristically breaking the extended model down into a series of single-leg problems by dynamic programming...