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H. Milton Stewart School of Industrial and Systems Engineering
H. Milton Stewart School of Industrial and Systems Engineering
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ItemRiding Technology Waves: Opportunities for Operations Research(Georgia Institute of Technology, 2017-03-30) Dietrich, BrendaBrenda Dietrich's talk includes a fly-by of five decades of information technology beginning with its use to automate business processes and extending to its current role in intermediating social processes. The resulting "data exhaust," together with the availability of low cost computing capacity, spawned the age of analytics, the rise of big data, and the birth of cognitive computing. The past, current, and potential role of operations research in these technology waves will be discussed.
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ItemAdventures in Policy Modeling!( 2016-03-28) Kaplan, Edward H.Policy Modeling refers to the application of operations research, statistics, and other quantitative methods to model policy problems. Recognizing that analyses of all sorts often exhibit diminishing returns in insight to effort, the hope is to capture key features of various policy issues with relatively simple “first-strike” models. Problem selection and formulation thus compete with the mathematics of solution methods in determining successful applications: where do good problems come from? how can analysts tell if a particular issue is worth pursuing? In addressing these questions, I will review some personal adventures in policy modeling selected from public housing, HIV/AIDS prevention, bioterror preparedness, suicide bombings and counterterrorism, in vitro fertilization, predicting presidential elections, and sports.
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ItemEmTech: The Library Service Center [Project Proposal]( 2015-03-12) Cormier, Taylor ; Govil, Sagar ; Hobbs, Ansley ; Lee, Jung Ha ; Long, Trisha ; Najm, Sinan ; Norris, AndreaGeorgia Tech and Emory University are building a high-density storage facility, the Library Service Center, on the Briarcliff Property of Emory University. The building design is based on a model developed at Harvard University and copied by 40+ large academic libraries in the US. The building includes a 40 ft. tall warehouse with industrial rack shelving and set points of 50 degrees F and 30% RH. There is an office building/processing center attached. Although the design of the building has been revised over time, the processes used to prepare and transfer books and microfilm, and manage them in the future has not been studied or changed in several years. This project involves studying workflows at both Emory and Georgia Tech and warehouse technology to improve the speed and accuracy of operations.
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ItemMultivariate Statistics and Machine Learning Under a Modern Optimization Lens(Georgia Institute of Technology, 2015-03-05) Bertsimas, DimitrisKey problems of classification and regression can naturally be written as optimization problems. While continuous optimization approaches has had a significant impact in statistics, discrete optimization has played a very limited role, primarily based on the belief that mixed integer optimization models are computationally intractable. While such beliefs were accurate two decades ago, the field of discrete optimization has made very substantial progress. Dr. Bertsimas will discuss how to apply modern first order optimization methods to find feasible solutions for classical problems in statistics, and mixed integer optimization to improve the solutions and to prove optimality by finding matching lower bounds. Specifically, he will report results for the classical variable selection problem in regression currently solved by LASSO heuristically, least quantile regression, and factor analysis. He will also present an approach to build regression models based on mixed integer optimization. In all cases he will demonstrate that the solutions found by modern optimization methods outperform the classical approaches. Most importantly, he suggests that the belief widely held in statistics that mixed integer optimization is not practically relevant for statistics applications needs to be revisited.
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ItemLessons Learned on Hard Work, Thinking Ahead, and Just Showing Up( 2014-10-09) Marshall, JohnThere is no such thing as an overnight success. Like the actor who does ten years of dinner theater before making it big, most of today’s leaders undergo significant challenges on the road to success. However, applying those insights can lead to significant growth. Join John Marshall, Senior Vice President and General Manager of AirWatch by VMware, as he shares how his experiences at Georgia Tech helped him take AirWatch from an apartment startup to a billion dollar buyout.
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ItemInteger Programming: the Global Impact(Georgia Institute of Technology, 2013-11-25) Nemhauser, George L.Integer programming is the (not very appealing or descriptive) name for optimization models and algorithms in which some variables are required to have integer values. Planning and operational problems in energy, finance, health, manufacturing, military, transportation, and in almost any imaginable domain where decisions are made, are formulated and solved using integer programming. For example, most Fortune 500 companies use integer programming in some aspects of their business. Currently available software is capable of solving models with thousands, and sometimes millions, of variables and constraints. We will discuss some integer programming models whose solutions have had big impact in solving important problems, and present recent progress that has made it possible to solve very large instances and to obtain provably good solutions quickly. We'll close by speculating on future advances in methodology and applications. Integer programming is the (not very appealing or descriptive) name for optimization models and algorithms in which some variables are required to have integer values. Planning and operational problems in energy, finance, health, manufacturing, military, transportation, and in almost any imaginable domain where decisions are made, are formulated and solved using integer programming. For example, most Fortune 500 companies use integer programming in some aspects of their business. Currently available software is capable of solving models with thousands, and sometimes millions, of variables and constraints. We will discuss some integer programming models whose solutions have had big impact in solving important problems, and present recent progress that has made it possible to solve very large instances and to obtain provably good solutions quickly. We'll close by speculating on future advances in methodology and applications.
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ItemI, Optimize: The Application of Industrial Engineering Principles to the Business of Entertainment(Georgia Institute of Technology, 2013-10-17) Primus, GuyThe entertainment industry is, by all accounts, more art than science. While entertainment will continue to be dominated by artists, those looking to improve upon the creative process have embraced the tools of industrial engineering, and industrial engineers have risen to the top of many creative organizations. Entertainment industry insider and ISyE graduate Guy Primus, IE 1992, MS IE 1995, provides a look behind the curtain of entertainment and shares case studies that demonstrate the principles of industrial engineering at work in the most artsy of industries.
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ItemAircraft Arrival Schedule Optimization for UPS Worldport(Georgia Institute of Technology, 2013-05-01) Chow, Diana ; Ferguson, Stefan ; Shah, Nirmit ; Wykoff, Brandon ; Kim, Sohyun ; Le, Jianing ; Chen, Yuelin ; Wu, ZhixunUPS Worldport is the world's largest package sorting facility. The team developed a flexible optimization model for aircraft arrival scheduling to address the problem of operational delays due to irregular volume inflow. This provided an annual value of approximately &1.7 million in reduced overtime and downstream costs.
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ItemKubota: Domestic Inbound Freight Optimization(Georgia Institute of Technology, 2013-05-01) Chen, Kelly ; Kim, Jin-Su ; Merchant, Rozina ; Mun, David ; Sawhney, Abhinav ; Takimoto, Yumehito ; Talaviya, Dhruvik ; Yeh, JasonThis project focuses on minimizing logistics costs for Kubota Manufacturing. The team developed an optimization-based system to decide the routes and modes for shipping parts from 200 suppliers all over the U.S. to Kubota's manufacturing plant in Gainesville, GA. The developed system achieves average savings worth 11% per week in transportation costs.
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ItemWorkforce Management and Process Improvement(Georgia Institute of Technology, 2013-05-01) Calender, Betsy ; Coe, Kevin ; Le, Jimmy ; Kyungha, Lim (Diane) ; Sarmiento, Jose ; Wachs, Alyssa ; Zarnitsyn, AlexeyIn Atlanta, Delta Cargo is experiencing high overtime costs and a low on-time shipment delivery rate. The deliverables of our project include: estimation of a shipment's processing rate, a demand forecast, a staffing schedule optimization model, and a decision support tool. These solutions have an expected annual savings of over half a million dollars.