The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
We propose a newstochastic model of infectious disease propagation. This model tracks individual outcomes, but does so without needing to create connectivity graphs for all members of the population. This makes the model scalable to much larger populations than traditional agent-based models have been able to cope with, while preserving the impact of variability during the critical early stages of...
We present a modeling approach to assist policymakers in identifying impacts on the U.S. air transportation system (ATS) due to the implementation of potential policies and the introduction of new technologies. Our approach simulates the responses of U.S. commercial airlines and other ATS stakeholders to these changes, which cumulatively result in consequences to the ATS. Our research is built upon...
This work extends current research in model analysis and program understanding to assist modelers in obtaining additional insight into their models and the systems they represent. Given a particular simulation implementation, this research demonstrates the feasibility of automatically-derived observations that could potentially enhance a model builder or model user's understanding of their models...
This paper studies the scheduling of two cranes in automated storage and retrieval systems that have a single output/input location. The cranes are located on a common rail, which restricts their movement, and which also makes the scheduling interesting as the cranes have to dodge each other while operating. The purpose of the paper is to study the scheduling of the retrieval of cartons from the storage...
To increase a 3D printer's throughput and decrease the print objects' lead times, composing good batches for 3D printers in high-volume 3D printing environments is of great importance. Since manual planners cannot oversee the whole production planning, they tend to make sub-optimal decisions. This paper presents a two-stage procedure that automatically generates batches for multiple 3D printers. The...
We introduce an effort to create prototype capabilities to enable the Analysis of Mobility Platform (AMP) to produce airlift schedules for the Agile Transportation for the 21st Century (AT21) program at the United States Transportation Command (USTRANSCOM) that are more robust and flexible to real world changes. AMP currently uses a deterministic simulation-based process to produce schedules, effectively...
To fulfill various customer demands by the same group of machines, flexible machine systems (FMS) are commonly used in fabrication facilities with heavy investment. FMS are computer-controlled systems consisting of several stations where each station specializes in particular operations with an appropriate transport system for the movement of products. In some wafer fabrication facilities, wafers...
Hardwood flooring mills transform rough wood into several boards of smaller dimensions. For each piece of raw material, the system tries to select the cutting pattern that will generate the greatest value, taking into account the characteristics of the raw material. However, it is often necessary to choose less profitable cutting patterns in order to respect market constraints. This reduces production...
We consider a chance-constrained two-stage stochastic scheduling problem for multi-skill call centers with uncertainty on arrival rate and absenteeism. We first determine an initial schedule based on an imperfect forecast on arrival rate and absenteeism. Then, this schedule is corrected applying recourse actions when the forecast becomes more accurate in order to satisfy the service levels and average...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.