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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Optimizing Selection And Mating In Genomic Selection With A Look-Ahead Approach: An Operations Research Framework, Saba Moeinizade, Guiping Hu, Lizhi Wang, Patrick Schnable Jul 2019

Optimizing Selection And Mating In Genomic Selection With A Look-Ahead Approach: An Operations Research Framework, Saba Moeinizade, Guiping Hu, Lizhi Wang, Patrick Schnable

Industrial and Manufacturing Systems Engineering Publications

New genotyping technologies have made large amounts of genotypic data available for plant breeders to use in their efforts to accelerate the rate of genetic gain. Genomic selection (GS) techniques allow breeders to use genotypic data to identify and select, for example, plants predicted to exhibit drought tolerance, thereby saving expensive and limited field-testing resources relative to phenotyping all plants within a population. A major limitation of existing GS approaches is the trade-off between short-term genetic gain and long-term potential. Some approaches focus on achieving short-term genetic gain at the cost of reduced genetic diversity necessary for long-term gains. In ...


Finalist—2017 M&Som Practice-Based Research Competition—The Hurricane Decision Simulator: A Tool For Marine Forces In New Orleans To Practice Operations Management In Advance Of A Hurricane, Eva D. Regnier, Cameron A. Mackenzie May 2018

Finalist—2017 M&Som Practice-Based Research Competition—The Hurricane Decision Simulator: A Tool For Marine Forces In New Orleans To Practice Operations Management In Advance Of A Hurricane, Eva D. Regnier, Cameron A. Mackenzie

Industrial and Manufacturing Systems Engineering Publications

The U.S. Marine Forces Reserve (MFR) in New Orleans is frequently threatened by hurricanes. To protect the safety of personnel and their families while maintaining mission capability, the Commander must make timely decisions to set up an alternate headquarters and allow for an orderly evacuation. The MFR relies on forecasts from the National Hurricane Center, but these forecasts are uncertain, are updated frequently, and can be difficult to interpret in the context of the MFR's decision timeline. In addition, there are few opportunities to learn from experience.We developed the Hurricane Decision Simulator (HDS) to allow MFR personnel ...


Capacity Planning And Production Scheduling For Aircraft Painting Operations, Xiangzhen Li, Caroline Krejci, Cameron A. Mackenzie, John K. Jackman, Guiping Hu, Charles Y. Hu, Adam A. Graunke, Gabriel A. Bumett Jan 2017

Capacity Planning And Production Scheduling For Aircraft Painting Operations, Xiangzhen Li, Caroline Krejci, Cameron A. Mackenzie, John K. Jackman, Guiping Hu, Charles Y. Hu, Adam A. Graunke, Gabriel A. Bumett

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Long-term capacity planning and production scheduling present significant challenges for the aviation industry. Our research has integrated three different modeling methodologies to effectively forecast future demand for aircraft painting and then assess and manage the capacity that is needed to meet these requirements. First, an innovative forecasting approach was developed in which stochastic processes were used to model aircraft demand over a selected time interval. These demand forecasts were used as inputs to an integer programming model, which was used to find optimal monthly aircraft painting schedules. This approach supports for resource allocation that is based on optimal scheduling, rather ...


Estimation Of Geometric Brownian Motion Parameters For Oil Price Analysis, Jakob Croghan, John K. Jackman, K. Jo Min Jan 2017

Estimation Of Geometric Brownian Motion Parameters For Oil Price Analysis, Jakob Croghan, John K. Jackman, K. Jo Min

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Geometric Brownian motion (GBM), a stochastic differential equation, can be used to model phenomena that are subject to fluctuation and exhibit long-term trends, such as stock prices and the market value of goods. The model uses two parameters, the rate of drift from previous values and volatility, to describe and predict how the continuous-time stochastic process evolves over time. Accurate estimates of the drift rate and volatility are necessary for these models to be useful within quantitative economic decision-making models. Multiple estimation methods have been proposed in previous research. We show how well these methods perform using a GBM with ...


Analysis Of Food Hub Commerce And Participation Using Agent-Based Modeling: Integrating Financial And Social Drivers, Caroline C. Krejci, Richard Stone, Michael Dorneich, Stephen B. Gilbert Feb 2016

Analysis Of Food Hub Commerce And Participation Using Agent-Based Modeling: Integrating Financial And Social Drivers, Caroline C. Krejci, Richard Stone, Michael Dorneich, Stephen B. Gilbert

Industrial and Manufacturing Systems Engineering Publications

Objective: Factors influencing long-term viability of an intermediated regional food supply network (food hub) were modeled using agent-based modeling techniques informed by interview data gathered from food hub participants.

Background: Previous analyses of food hub dynamics focused primarily on financial drivers rather than social factors and have not used mathematical models.

Method: Based on qualitative and quantitative data gathered from 22 customers and 11 vendors at a midwestern food hub, an agent-based model (ABM) was created with distinct consumer personas characterizing the range of consumer priorities. A comparison study determined if the ABM behaved differently than a model based on ...


Improving The Aerospace Capstone Design Experience Through Simulation Based Learning, Wm. Michael Butler, Janis P. Terpenny, Richard M. Goff, Rajkumar S. Pant, Heidi M. Steinhauer Jan 2012

Improving The Aerospace Capstone Design Experience Through Simulation Based Learning, Wm. Michael Butler, Janis P. Terpenny, Richard M. Goff, Rajkumar S. Pant, Heidi M. Steinhauer

Center for e-Design Publications

A key role of universities is to prepare students to work in their chosen profession upon completion of their degree program. Engineering capstone design courses are often the only required courses that challenge students to draw on nearly all of the students’ previous collegiate learning experiences and to synthesize and apply these to creating a new solution to an engineering problem. Aside from internship and co-op experiences, these are often the first courses that expose engineering students to some of the technical and political issues that they will often face in their professional engineering careers. Industry often looks at these ...


Discrete Event Simulation Implemented In A Virtual Environment, Jason Kelsick, Lori Buhr, Cheryl Moller, Judy M. Vance Sep 2003

Discrete Event Simulation Implemented In A Virtual Environment, Jason Kelsick, Lori Buhr, Cheryl Moller, Judy M. Vance

Mechanical Engineering Publications

Virtual reality (VR) technology provides a human-computer interface that allows participants to interact naturally with digital objects which are represented as three-dimensional images that occupy positions in a three-dimensional world. Related to problems of engineering design and manufacturing, this new technology offers engineers the ability to work with computer models in a three-dimensional, immersive environment. This paper describes a virtual reality application where the results of a discrete event simulation of a manufacturing cell are integrated with a virtual model of the cell to produce a virtual environment. The program described in this paper, the VRFactory, combines results from a ...