We investigate a supply chain decision problem that encompasses three challenges, which cannot be managed satisfactorily nowadays with computerized decision support: dynamic, islands of planning autonomy and hierarchically coupled planning goals. We combine the existing online optimization framework by a closed-loop optimization control circuit that allows a subordinate service centre agent to ...

We present a novel pedestrian representation based on a new model of pedestrian motion coupled with a geometric optimization method. The model of pedestrian motion seeks to capture the underlying physiological and psychological factors which give rise to the fundamental diagram — the phenomenon that pedestrian speed reduces as density increases. The optimization method computes collision-free v...

Composites manufacturing processes usually involve multi-scale models in both space and time, highly non-linear and anisotropic behaviors, strongly coupled multi-physics and complex geometries [1]. In this framework, the use of simulation for real-time decision making directly in the manufacturing facility is still precluded nowadays [2]. In this work, a process-specific simulation tool based o...

computational fluid dynamics (cfd) is a computational technology that enables researchers to study the dynamics of things that flow. by using cfd, it is possible to build a computational model that represents a system under study. it not only predicts fluid flow behavior, but also the transfer of heat, mass, phase change, chemical reaction, mechanical movement, and stress or deformation of rela...

The measurement of the minimum miscibility pressure (MMP) is one of the most important steps in the project design of miscible gas injection for which several experimental and modeling methods have been proposed. On the other hand, the standard procedure for compositional studies of miscible gas injection process is the regression of EOS to the conventional PVT tests. Moreover, this procedure d...

abstract one of the major factors on the amount of water resources is river flow which is so dependent to the hydrologic and meteorologic phenomena. simulation and forecasting of river flow makes the decision maker capable to effectively manage the water resources projects. so, simulation and forecasting models such as artificial neural networks (anns) are commonly used for simulation and predi...

in this paper, we focus on a continuously deteriorating critical equipment which its failure cannot be measured by cost criterion. for these types of systems like military systems, nuclear systems, etc it is extremely important to avoid failure during the actual operation of the system. in this paper we propose an approach which constrains failure probability to a pre-specified value. this valu...

A method is presented for the parameter extraction of microwave coupled resonator filters. The method is based on the estimation of a rational model of the filters. From these rational functions, a circuit network having the previously know topology is optimized. Two simple and efficient error functions are used to reduce the computational effort of the optimization while improving the speed an...

We have developed a novel physical model and a simulation algorithm capable of predicting electromigration (EM) induced void nucleation and growth in an arbitrary interconnect segment. Incorporation of all imp ortant atom migration causes into the mass balance equation and its coupled solution with the corresponding electromagnetics, heat transfer and elasticity problems has provided a capabili...