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Operations Research, Systems Engineering and Industrial Engineering Commons™

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Public-sector facility location

Articles 1 - 4 of 4

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

Smart Engagement: Planning And Decision-Making In Distressed Urban Neighborhoods, Justin Hollander, Michael P. Johnson Jr., Eliza D. Whiteman Dec 2015

Smart Engagement: Planning And Decision-Making In Distressed Urban Neighborhoods, Justin Hollander, Michael P. Johnson Jr., Eliza D. Whiteman

Michael P. Johnson

This book addresses the challenges and opportunities associated with the use of decision science and information technologies to help stabilize and revitalize distressed urban communities in the United States.

While cities in the U.S. grow and decline at various rates and for different underlying reasons, neighborhoods within cities that have faced sustained demographic and socio-economic challenges over time may have multiple factors in common, such as physical blight, widespread vacancies, underserved and marginalized populations and, in some cases, local markets that do not respond to traditional economic development strategies. These distressed communities are often indicative of high levels of spatial …

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Planning For Meals-On-Wheels: Algorithms And Application, Hakan Yildiz, Michael P. Johnson Jr., Stephen Roehrig Dec 2012

Planning For Meals-On-Wheels: Algorithms And Application, Hakan Yildiz, Michael P. Johnson Jr., Stephen Roehrig

Michael P. Johnson

Home-Delivered Meals provision, also known as Meals-on-Wheels, is a volunteer-staffed activity for which little strategic planning is performed. We develop a Memetic Algorithm to solve the Home Delivered Meals Location Routing Problem. This planning model addresses facility location, allocation of demand to facilities, and design of delivery routes, while balancing efficiency and effectiveness considerations. The case study presented on a large data set shows how trade-off curves, which are very useful for decision making, can be obtained by the method developed.

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Michael Johnson Research Profile, Michael P. Johnson Jr. Apr 2012

Michael Johnson Research Profile, Michael P. Johnson Jr.

Michael P. Johnson

This document summarizes my disciplinary training and my research products.

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Senior Center Network Redesign Under Demand Uncertainty, Osman Ozaltin, Michael P. Johnson Jr., Andrew Schaefer Mar 2010

Senior Center Network Redesign Under Demand Uncertainty, Osman Ozaltin, Michael P. Johnson Jr., Andrew Schaefer

Michael P. Johnson

Senior centers off#11;er a variety of services to facilitate independent living of older adults. In the U.S., increasing suburbanization and aging of suburban residents necessitate reconfiguring senior services. We propose a two-echelon network of senior centers across large study areas and formulate a stochastic facility location/allocation model with mixed-integer recourse. We apply our model to Allegheny County, Pennsylvania, which has one of the oldest population in the U.S. Our model shows that a two-echelon network design is appropriate for increasing the occupancy of senior centers as community focal points while maintaining customized and accessible programming in small neighborhood areas.

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