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

Complementarity‐Based Selection Strategy For Genomic Selection, Saba Moeinizade, Megan Wellner, Guiping Hu, Lizhi Wang Jan 2020

Complementarity‐Based Selection Strategy For Genomic Selection, Saba Moeinizade, Megan Wellner, Guiping Hu, Lizhi Wang

Industrial and Manufacturing Systems Engineering Publications

Genomic selection is a technique that breeders use to select plant or animal individuals to mate and produce new generations of species. The conventional selection method is to select individuals that are either observed or predicted to be the best based on the assumption that parents with better phenotypes will produce better offspring. A major limitation of this method is its focus on the short‐term genetic gains at the cost of genetic diversity and long‐term growth potential. Recently, several new genomic selection methods were proposed to maximize the long‐term potential. Along this research direction, we propose a ...


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 ...


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 ...