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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Simulation Model To Investigate Flexible Workload Management For Healthcare And Servicescape Environment, Michael Thorwarth, Paul Harper, Amr Arisha
Simulation Model To Investigate Flexible Workload Management For Healthcare And Servicescape Environment, Michael Thorwarth, Paul Harper, Amr Arisha
Conference papers
High demand and poor staffing conditions cause avoidable pressure and stress among healthcare personnel which results in burnout symptoms and unplanned absenteeism which are hidden cost drivers. The work environment within an emergency department is commonly arranged in a flexible workload which is highly dynamic and complex for the outside observer. Using detailed simulation modeling within structured modeling methods, a comprehensive model to characterize the nurses' time utilization in such flexible dynamic workload environment was investigated. The results have been used to derive a generalized analytic expression that describes certain settings that lead to an instable queuing system with serious …
Course Portfolio - Discrete Event Simulation, Paul Savory
Course Portfolio - Discrete Event Simulation, Paul Savory
Department of Industrial and Management Systems Engineering: Faculty Publications
This course portfolio, written by Dr. Paul Savory, provides an overview of his Discrete Event Simulation course at the University of Nebraska-Lincoln. It offers an overview of the course goals, a summary of the classroom activities for achieving them, and a detailed assessment of student learning. He highlights his introduction of the simul8 programming environment to his students. In addition to exploring his students’ learning, Dr. Savory also explores different approaches for documenting his teaching by including multimedia clips (video and audio), uses graphs, uses color, and incorporates images. The resulting portfolio is one that can be reviewed, shared, and …
Simulation Modeling Of Electronic Health Records Adoption In The U.S. Healthcare System, Nadiye O. Erdil, C. Robert Emerson
Simulation Modeling Of Electronic Health Records Adoption In The U.S. Healthcare System, Nadiye O. Erdil, C. Robert Emerson
Engineering and Applied Science Education Faculty Publications
Increasing the efficiency of the healthcare system in the United States is an important subject due to rapidly rising costs. Among many propositions to improve the operation of the system, adoption of Electronic Health Records is widely discussed. This study uses a system dynamics methodology to develop a simulation model of the adoption process that will allow for the exploration of policies. This paper presents the development and the preliminary findings of this model.
Dod Acquisition Workforce Education: An Sba Education Case Study, Richard Davenport
Dod Acquisition Workforce Education: An Sba Education Case Study, Richard Davenport
Electronic Theses and Dissertations
A Department of Defense (DoD) M&S education task force is in the process of studying the Modeling and Simulation (M&S) education of the acquisition workforce. Historically, DoD acquisition workforce education is not referred to as education, but rather what the Defense Acquisition University (DAU) refers to as "practitioner training, career management, and services." The DAU is the organization primarily responsible for training the DoD acquisition corps in conjunction with service schools and strategic partners in the civilian sector. DAU programs primarily focus on program management, contracting, and management of logistics across the system life cycle. Further, the examples and cases …
Presence-Dependent Performance Differences Between Virtual Simulations And Miniature Worlds, Andre Huthmann
Presence-Dependent Performance Differences Between Virtual Simulations And Miniature Worlds, Andre Huthmann
Electronic Theses and Dissertations
The purpose of simulation is to avoid reality-based constraints by the implemen-tation of a synthetic model. Based on this advantage, interactive simulations have conquered all areas of applications from acquisition, and training, to research. Simulation results are transferred in many ways into reality and conclusions are drawn from the simulation to the application. Many anecdotal observations on human-in-the-loop simulations have shown a significant difference in actor behavior between simulations and reality-based applications. It seems that the factors that makes simulation so attractive, namely the absence of constraints and especially of imminent danger for persons and equipment, influence the behavior and …
Formal Verification Of Urban Traffic System Using The Concept Of Fuzzy Workflow Simulation, Manuj Darbari, Abhay Kumar Srivastava, Sanjay Medhavi
Formal Verification Of Urban Traffic System Using The Concept Of Fuzzy Workflow Simulation, Manuj Darbari, Abhay Kumar Srivastava, Sanjay Medhavi
Journal of International Technology and Information Management
Modeling complex urban traffic system requires extensive use of workflow methodologies which can simulate almost real time traffic situations. Number of studies were done in the field of Urban Traffic Simulation like PLOTS, NETSIM and PALAMICS but none of them could provide a real formal solution. Our paper proposes a methodology using Fuzzy Petri nets for modeling real time traffic system. Fuzzy Petrinets are also visualised and tested by using Flow- Charter and HPSIM software packages. These packages help in providing successive iterations of process model for further refinement.
Sensitivity Analysis Framework For Large And Complex Simulation Models, Ghaith Rabadi, Shannon Bowling, Charles Keating, Resit Unal
Sensitivity Analysis Framework For Large And Complex Simulation Models, Ghaith Rabadi, Shannon Bowling, Charles Keating, Resit Unal
Engineering Management & Systems Engineering Faculty Publications
In this paper, a framework for conducting Sensitivity Analysis (SA) on large and complex simulation models is introduced. The framework consists of components that are designed to make the SA a systematic process that is easy to manage and follow by simulation analysts and practitioners. Unlike local SA (one-variable-at-a-time SA), the method presented here is variance-based and it is rooted in the field of Design of Experiments (DoE) where Input Variables are varied and Output Variables are measured. Based on the DoE results, a risk scoring system is developed to identify the sensitivity of the Input Variables, and as a …