Given the model of each user's projected finances, we optimize over future financial behavior to provide recommendations for each month of the user's life, including paycheck allocation, allocation of existing assets, use of appropriate financial products, and spending targets.
Each simulation component is verified and validated against existing financial models and empirical research, and the combined model is subjected to thorough expert review and sensitivity analyses.
Monday 3:30 P.M.
We have used these methods to identify significant behaviors in simulated networks, and we suspect they may be applied to reduce the dimension of empirical data measured from real networks.
Stephen Wendel (HelloWallet)
The hospital�s Research Department has previously conducted two simulation studies for Ahus; one for the ER-unit, and another for the hospital as a whole.
Reducing the dimension of multivariate responses can reveal the most significant model behaviors, allowing subsequent analyses to focus on one response per behavior.
The method and principles explained in this case study have been used to investigate parameter spaces for simulated networks under a variety of congestion control algorithms.
Kevin L Mills and James J Filliben (NIST)
Various key performance measures of availability contract hence unusual approaches in modeling them will also be presented.
Monday 1:30 P.M.
The overall goal is to assist manufacturers to shift from traditional product selling to PSS, by enabling them to assess the potential impacts of the shift to their manufacturing operations before actually committing to the changes.
The success of these projects prompted the Surgical Department (SD) to commission a two-component study: first develop a high-resolution single-procedure (HRSP)DES-model for identifying delaying factors during a single surgery.
Despite the benefits, availability contract imposes major risks to the manufacturers due to the dynamic behavior caused by the service delivery mechanisms typically in the form of complex contractual agreements.
The advantage of �Real Option� using Monte-Carlo simulation is that it provides full distribution of option values and prevents no or under investment in a potentially beneficial trait as opposed to traditional approaches like NPV or DCF, that provide suggestions based on only one of the possible scenario.
Pei Tang (Michigan Technological University)
The model tested alternatives to anticipated change to ensure consistent, world class operational infrastructure.
Atipol Kanchanapiboon, Joshua Bosire, Gozde Karacaoglu and Tejas Gandhi (Virtua)
The option value of GM trait(s) mainly �Drought Tolerance� (DR) is calculated for Corn and Wheat growing regions (USDA, for USA), matched with drought probability (NOAA) of region over last 100 years .
The poster will introduce our TAS simulator and the experimental results.
Shilan Jin and Jun Zhuang (SUNY Buffalo) and Zigeng Liu (University of Wisconsin-Madison)
The model includes two modules that utilize output from a single model simulation to identify an optimized medical kit for a specified mission scenario.