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Operations Research, Systems Engineering and Industrial Engineering Commons

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

Using Computer Simulation To Study Hospital Admission And Discharge Processes, Edwin S. Kim Jan 2013

Using Computer Simulation To Study Hospital Admission And Discharge Processes, Edwin S. Kim

Masters Theses 1911 - February 2014

Hospitals around the country are struggling to provide timely access to inpatient beds. We use discrete event simulation to study the inpatient admission and discharge processes in US hospitals. Demand for inpatient beds comes from two sources: the Emergency Department (ED) and elective surgeries (NonED). Bed request and discharge rates vary from hour to hour; furthermore, weekday demand is different from weekend demand. We use empirically collected data from national and local (Massachusetts) sources on different-sized community and referral hospitals, demand rates for ED and NonED patients, patient length of stay (LOS), and bed turnover times to calibrate our discrete …


Development Of A Cost Minimizing Strategy To Mitigate Bird Mortalities In A Wind Farm, Karamvir Singh Jan 2012

Development Of A Cost Minimizing Strategy To Mitigate Bird Mortalities In A Wind Farm, Karamvir Singh

Masters Theses 1911 - February 2014

Wind is the second largest renewable energy source after solar. It is one of the fastest growing sources of electricity in the world and currently of wind energy is installed in the United States and an additional is under construction (Office of Energy and Environment Affairs, 2011). For the growth of wind electricity, one of the most prominent environmental concerns relates to the death of birds, bats and other avian species resulting from collision with turbine blades.

This thesis develops a model that provides the optimal strategy of turning the turbines off in a wind farm for certain periods to …


Electric Power Market Modeling With Multi-Agent Reinforcement Learning, Nathanael K. Miksis Jan 2010

Electric Power Market Modeling With Multi-Agent Reinforcement Learning, Nathanael K. Miksis

Masters Theses 1911 - February 2014

Agent-based modeling (ABM) is a relatively new tool for use in electric power market research. At heart are software agents representing real-world stakeholders in the industry: utilities, power producers, system operators, and regulators. Agents interact in an environment modeled after the real-world market and underlying physical infrastructure of modern power systems. Robust simulation laboratories will allow interested parties to stress test regulatory changes with agents motivated and able to exploit any weaknesses, before making these changes in the real world. Eventually ABM may help develop better understandings of electric market economic dynamics, clarifying both delineations and practical implications of market …


Development Of A Decision Tool For Green Energy Investment In The Pioneer Valley, Benjamin R. Ewing Jan 2009

Development Of A Decision Tool For Green Energy Investment In The Pioneer Valley, Benjamin R. Ewing

Masters Theses 1911 - February 2014

We present the process followed to create a decision-aid tool for use in renewable energy and energy efficiency investment decisions. Our tool is targeted at home and small business owners in the Pioneer Valley. We begin with the development of two prototype tools. The first was created for the Hitchcock Center for the Environment, and is an Excel-based tool that allows users to select various combinations of technologies and instantly see the financial, environmental, and educational impacts of their choice. The second examines only two technologies, solar photovoltaics and combined heat and power, and uses a cost minimization approach. These …