Organizational Unit:
H. Milton Stewart School of Industrial and Systems Engineering

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Publication Search Results

Now showing 1 - 10 of 15
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    Procurement Planning for GE Energy
    (Georgia Institute of Technology, 2009-12-09) Ballowe, Charles ; Gonzalez, Viviana ; Hall, Sharece ; Liss, David ; Mukherjee, Meghna ; Mukherjee, Ria ; Solntsev, Stefan
    The project determines the minimal cost policy for the procurement of wind turbine towers for GE Energy. Software is developed based on forecasting and optimization models that take into account purchasing and transportation costs, government policies, and renewable energy demand with demonstrated savings of $8.6 million per year.
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    Manheim Auto Auctions Aggregate Planning & Forecasting Project
    (Georgia Institute of Technology, 2009-12-09) Crance, Dustin ; Demere, Raymond ; Ferreira, Caroline ; Strickland, Bradley ; Welch, Charles ; Norman, Terrence
    In 2009, Manheim Inc.’s clients missed bidding on 50% of the cars they were interested in. Using regression analysis and forecasting, this team created a dynamic schedule updating predicted arrival windows for each vehicle at any given auction. Additionally, Manheim did not have a statistically based driver staffing method, so the team provided them with a decision-making driver staffing tool. In total, this project adds $1.8 million yearly to 11 of Manheim’s locations.
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    Mail Innovations Facility Expansion Design
    (Georgia Institute of Technology, 2009-04-29) Brown, Patrick ; Corrales, Ricardo ; Currier, Kathryn ; Eser, Ahmet Emre ; Reichardt, Helen ; Smith, Jennifer
    UPS Mail Innovations provides bulk mailers First-Class mail service for small packages at discounted rates. Customer demand for larger packages requires significant capacity expansion in both facilities and equipment. Our team designed facilities that will allow UPSMI to capture a significant market share estimated at 1.7 billion per year.
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    Cooper Lighting: Sales Forecasting
    (Georgia Institute of Technology, 2009-04-29) Gegenheimer, Melissa ; Hilterbrandt, Tessa ; Kohler, Russell ; Nelson, Matthew ; Robbins, Stephanie ; Sheffield, Matthew
    In 2008 Cooper Lighting experienced a 28% sales forecasting error in one of their largest brands. The fact that Cooper Lighting has no reliable sales forecasting method has proved to be problematic in various areas of their business. To address this problem, sales forecasting models were developed using internal company data and economic factors. These models were compiled into a user friendly software package.
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    Creating software to compute the optimal number of newspapers to deliver to each sales outlet
    (Georgia Institute of Technology, 2009-04-29) Babb, Megan ; Baggett, Jonathan W. ; Barthelemy, Corey ; Dickenson, Katie ; Hughes, Amanda ; Rogovin, Katie
    The purpose of the project is to develop a method to calculate the optimal number of newspapers to deliver to each of the Atlanta Journal-Constitution’s 7500 sales outlets on each day of the week. The optimization model takes into account sales and advertising revenues, printing costs, recycling revenue, the possibilities of theft and shrinkage, and the distribution of demand, which in turn is estimated from data and takes into account censored data, theft, location, day of the week, price, and other covariates.
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    Improving Quality Audits for GE Energy Airfoils
    (Georgia Institute of Technology, 2009-04-29) Chan, Michael ; Dowla, Tareq ; Lefkovitz, Myles ; Manawar, Tanzil ; Sun, Lance ; Tsang, Chiu Tong
    The project improved quality audits at GE Energy Airfoils by using correlation to reduce inspection times, an automated database to provide higher visibility of quality levels, and linear regression to develop more accurate in-process specification tolerances; this has an estimated savings of 830,000 in defect, capital, and purchasing costs.
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    World Food Programme Supply Chain Optimization
    (Georgia Institute of Technology, 2008-12-10) Morales, Alvaro ; Bah, Elhadj ; Wade, James ; Li, Lawrence ; Jimenez, Manuel ; Aviles, Santiago
    The team worked with the World Food Programme - food aid arm of the United Nations- on two supply chain problems: lack of smooth operations due to variability in donations, and lack of a standardized inventory management methodology. They created an inventory ordering tool ready for immediate implementation and a mathematical model of the supply chain to optimize its operations and study long-term strategic changes. When tested on historic and simulated data the inventory management tool and redesigned supply chain with the location of commodity pre-positioning depots demonstrated significant benefits in increased service levels and decreased costs.
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    Improving Operations at Manheim Seattle
    (Georgia Institute of Technology, 2008-12-10) Fetic, Sanin ; Gordillo, Alejandro ; Gouws, Jacques ; Guzman, Jorge ; Mills, Lindsay ; Reinhard, Margaret ; Tovey, Craig A.
    The team recommended facility and operational changes for Manheim, the world's largest automobile resale company, at its Seattle site. The changes should increase net revenue by 14%, or $5.4 million annually, at a capital cost of $850,000. The team also clarified the impact of short queues during auctions, and performed a pilot study productivity comparison of 77 auction sites. Because of the company-wide implications of these analyses, the group will reprise its report at the parent company headquarters, Cox enterprises, to executives of both companies. Recommendations were derived from innovative data capture, detailed simulations, 3D facility layout models, and optimization-based productivity assessment.
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    Application of Real-time Simulation to Improve Patient Satisfaction, Emory Crawford Long Hospital
    (Georgia Institute of Technology, 2008-12-10) Santo Domingo, Eileen ; Qureshi, Junaid ; Braza, Mark ; Grivas, Nick ; Williams, Ryan ; Soler, Vivian
    The team developed a predictive tool for patient wait-times in Emergency Departments. The tool utilizes discrete-event simulation in combination with real-time data to generate predictions. This work will enable low-severity patients to be scheduled in off-peak hours while increasing customer satisfaction and recapturing lost revenue from patients who leave prior to treatment completion.
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    UPS NAAFN - Truck Scheduling for the North American Air Freight Network (NAAFN) Division of United Parcel Service (UPS)
    (Georgia Institute of Technology, 2008-04-30) Dhabliwala, Jessel ; Patrick, Megan ; Pelling, Tom ; Petty, Nathan ; Venugopal, Vikas ; Yilmaz, Selin