Industrial and Manufacturing Systems Engineering papers and presentations (MU)
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Items in this collection are publications and public presentations made by Department of Industrial and Manufacturing Systems Engineering faculty, staff, and students, either alone or as co-authors, and which may or may not have been published in an alternate format. Items may contain more than one file type.
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Item An optimization model to address overcrowding in emergency departments using patient transfer : [data](2021) Oveysi, Zeynab; McGarvey, Ronald G.; Seo, Kangwon; University of Missouri-Columbia. College of Engineering (MU). Department of Industrial and Manufacturing Systems Engineering (MU).Supplementary material and data for the article: Zeynab Oveysi, Ronald G. McGarvey, Kangwon Seo, "An Optimization Model to Address Overcrowding in Emergency Departments Using Patient Transfer", Advances in Operations Research, vol. 2021, Article ID 7120291, 11 pages, 2021. https://doi.org/10.1155/2021/7120291Item An optimization model to address overcrowding in emergency departments using patient transfer(Hindawi, 2021) Oveysi, Zeynab; McGarvey, Ronald G.; Seo, Kangwon; University of Missouri-Columbia. College of Engineering (MU). Department of Industrial and Manufacturing Systems Engineering (MU).Overcrowding of emergency departments (EDs) is a problem that affected many hospitals especially during the response to emergency situations such as pandemics or disasters. Transferring nonemergency patients is one approach that can be utilized to address ED overcrowding. We propose a novel mixed-integer nonlinear programming (MINLP) model that explicitly considers queueing effects to address overcrowding in a network of EDs, via a combination of two decisions: modifying service capacity to EDs and transferring patients between EDs. Computational testing is performed using a Design of Experiments to determine the sensitivity of the MINLP solutions to changes in the various input parameters. Additional computational testing examines the effect of ED size on the number of transfers occurring in the system, identifying an efficient frontier for the tradeoff between system cost (measured as a function of the service capacity and the number of patient transfers) and the systemwide average expected waiting time. Taken together, these results suggest that our optimization model can identify a range of efficient alternatives for healthcare systems designing a network of EDs across multiple hospitals.Item Binary linear programming models for robust broadcasting in communication networks : [data](2015) McGarvey, Ronald G; Rieksts, Brian Q.; Ventura, José A.; Ahn, NamsuOutput files showing optimal network configurations. Abstract from related article: Broadcasting is an information dissemination process in communication networks whereby a message, originated at any node of a network, is transmitted to all other nodes of the network. In c-broadcasting, each node having the message completes up to c transmissions to its neighbors over the communication lines in one time unit. In a k-fault tolerant broadcast network, the broadcasting process can be accomplished even if k communication lines fail. This paper presents innovative binary linear programming formulations to construct c-broadcast graphs, k-fault-tolerant broadcast graphs, and their time-relaxed versions. The proposed mathematical models are used to generate eight previously unknown minimum c-broadcast graphs, new upper bounds for eleven other instances of the c-broadcast problem, and over 30 minimum k-fault-tolerant c-broadcast graphs. The paper also provides a construction method to produce an upper bound for an infinite family of k-fault-tolerant c-broadcast graphs.Item A State-Wide Effort to Promote Best Practices in Industrial Energy Efficiency in Missouri [abstract](2009) Wu, B. (Bin), 1957-; Khanna, Sanjeev K.; University of Missouri (System); Missouri Energy Summit (2009 : University of Missouri--Columbia)Missouri Industrial Assessment Center is funded by the U.S. Department of Energy's IAC program to provide services in energy efficiency for industries in the state. The aim is to promote best practices in energy efficiency, reusable energy, waste reduction and productivity through integration of activities involving the University, the state agencies, the University of Missouri Extension, the Manufacturing Extension Partnership program, the state-wide and local utilities and industrial associations. The energy audit and productivity assessment is offered to qualified small- to medium-sized manufacturing companies. The center carries out activities in research, education and outreach to: • Provide students with practical experience and training in energy engineering, by: i) providing hands-on training of industrial and productivity assessment skills; ii) establishing online materials aimed at increasing awareness to industrial energy efficiency and conservation, waste reduction, renewable energy and productivity. • Help small to medium-sized manufacturers improve energy efficiency, minimize waste and improve productivity, through: i) conducting energy audits for eligible industrial organizations in the state of Missouri and surrounding areas; ii) providing guidance to industrial organizations following the energy audits to meet or exceed the performance goal; iii) promoting interdisciplinary assessment teams of faculty, students and state energy managers and engineers. • Integrate the IAC program into other areas to create innovative approaches to delivering services, by: i) promoting best practice in industry by conducting outreach seminars and workshops in the state; ii) working with the center's partners to establish Missouri IAC as the center of resources and services for industries in the state and the surrounding areas; iii) utilizing the synergy resulting from its newt work of partnerships to offer and deliver a more comprehensive range services to small and medium manufacturers. Up to date, the center's services have covered many parts across the state of Missouri.