Digital Commons Network^™

Essays On Perioperative Services Problems In Healthcare, Amogh S. Bhosekar

All Dissertations

One of the critical challenges in healthcare operations management is to efficiently utilize the expensive resources needed while maintaining the quality of care provided. Simulation and optimization methods can be effectively used to provide better healthcare services. This can be achieved by developing models to minimize patient waiting times, minimize healthcare supply chain and logistics costs, and maximize access. In this proposal, we study some of the important problems in healthcare operations management. More specifically, we focus on perioperative services and study scheduling of operating rooms (ORs) and management of necessary resources such as staff, equipment, and surgical instruments. We …

Optimal Scheduling Of Aircraft Test And Evaluation Fleets To Balance Availability For Testing And Training, Sarah E. Hoops

Theses and Dissertations

The 96th Test Wing at Eglin Air Force Base manually schedules a fleet of approximately 26 aircraft to conduct a range of missions over a one-to-two year planning period. This study automates the scheduling process, does so in a manner that optimizes multiple planning goals related to aircraft availability for training, and provides the 96th Test Wing with a software tool for the implementation that can be used by operational analysts within the command. We formulate the scheduling problem as a multiobjective, nonlinear, binary integer math program that seeks to maximize both the lowest percent of time any aircraft is …

Pull Planning Workshop - Central California Valley, Thomas A. Camargo

Construction Management

Lean scheduling and pull planning are both excellent methods of scheduling and sequencing a project. It has made huge impacts on scheduling for general contractors in southern and northern region of California. However, Central California has not been able to see the benefits and impacts of these scheduling tools because of the regions lack of use of lean scheduling and pull planning. Lean scheduling is a technique that encourages communication and collaboration between the project stakeholders. Pull planning offers project stakeholders a chance to rally together and collaborate. These pull planning sessions are useful for sequencing work to meet milestones …

The Living Breakwaters Pdr Efforts Econcrete Resource Analysis, Guianina Ferrari, Shervon Stephens, Calvin O. Walters Jr.

Publications and Research

On October 29, 2012, Superstorm Sandy impacted 443,000 people and caused nearly $19 billion (about $58 per person in the US) worth of damage within New York City. As part of the New York City infrastructure reparation plan, the Living Breakwaters project in Tottenville addressed coastal resilience, allocating $100M of public funds to a series of artificial breakwaters by the southwest coast of Staten Island. Each breakwater is constructed and designed to mitigate water flow in storm events. ECOncrete, a primary element of the breakwater, is a specialty cast cementitious product that is marine organism-friendly that encourages biocalcification and photosynthesis. …

The Solution To Safe Patient Handoffs & Improved Patient Flow: Creation Of The Admission, Discharge, Transfer (Adt) Nurse, Kelsey Tavs

Nursing

Background: The 2021 Culture of Safety Survey demonstrated patient handoffs as the greatest opportunity for improvement; specifically, the transition between the Emergency Department (ED) and inpatient (IP) units. Barriers to safe handoff included workflow between theunits, nonadherence to bedside report and lack of telemetry boxes in the ED, delaying patient transfer, and creating increased risk for patient safety.

Local Problem: June 2021 data

- Three ED patient elopements, two left against medical advice, 15 left without being seen after triage, and three left without being seen prior to triage.

- Average disposition to admit time of 112 minutes (goal < 39 minutes)

- …

The Investment Chapter In The Regional Comprehensive Economic Partnership: Enhanced Rules Without Enforcement Mechanism, Henry S. Gao

Research Collection Yong Pung How School Of Law

This Chapter examines the legal rules in the investment chapter in the Regional Comprehensive Economic Partnership (RCEP). It starts with an overview and summary of the main provisions in the chapter, followed by an assessment of the rules by comparing established free trade agreements (FTAs), especially the Comprehensive and Progressive Trans-Pacific Partnership. In particular, it notes that the chapter, whilst largely following the established approaches to investment in other FTAs, also includes important twists to the common rules to favour the host states. The last part discusses the conspicuous absence of an investor-state dispute settlement mechanism, its pros and cons, …

F22rs Sgr No. 2 (Prime Time Class Scheduling), Cooper Ferguson, Emma Long, Calvin Feldt, Elizabeth Laurent

Student Senate Enrolled Legislation

To Urge and Request that the University Registrar halts the reimplementation of a policy that limits departments to scheduling no more than 55% of their course sections within prime-time hours

Reference Staffing And Scheduling Models In Archives And Special Collections: A Survey Analysis Of Prepandemic Practices, Amanda K. Hawk

Faculty Publications

Reference services form the core function of any type of library. Even when faced with shrinking budgets and staff sizes, library and archives workers continue to provide reference services to meet the demands of researchers. Yet a critical analysis of the internal systems used for archival and special collections reference work is lacking compared to the robust body of research about users of collection materials. This article presents findings from a national survey about reference staffing and scheduling models in archival and special collections repositories conducted immediately prior to the onset of the COVID-19 pandemic. The survey data revealed specific …

Evidence-Based Improvement Project Prospectus Improving Mammography Screening Scheduling Through Covid-19 Vaccine Clinics Utilizing An Online Population Management System—A Team Approach, Katya E. Villanueva

Master's Projects and Capstones

Abstract

Problem: The recent Covid-19 Pandemic led to delays in necessary cancer screening procedures, such as Breast Cancer Mammography Screening (BCS). Suboptimal mammography screening rates persisted at 11% compared to the regional goal of 30% of eligible women in a primary care setting.

Context: Covid-19 Vaccination Clinics are part of a private HMO health plan that participates in quality accreditation and data benchmarking utilizing Healthcare Effectiveness Data and Information Set Measures (HEDIS). In this managed care health system, primary care clinics offer appointments and referrals for screening tests similar to mammography.

Interventions: Change ideas such as standardized scheduling scripting, standard …

Beyond Service Education: Impacting The Human Experience With Sustained Training Utilizing The Experience Model Of Communication, Jennifer S. Packard, Rebecca A. Brustad, Jane M. Hoplin, Sheila K. Stevens

Patient Experience Journal

Patients scheduling or checking in for medical appointments often share with frontline employees’ details of their stories, including their worries, prior negative experiences, and hopes. These interactions require employees to not only complete their task, but also to be mindfully present, picking up on important social cues and showing appropriate emotional congruence and empathic understanding. Based on a review of recorded patient calls, a gap was identified in the communication skills of desk and scheduling staff at this large academic medical center, and a sustained training program was created to fill this gap. The training is centered on an evolving …

Optimal Scheduling Of Connected And Autonomous Vehicles At A Reservation-Based Intersection., Muting Ma

Electronic Theses and Dissertations

Reservation-based intersection control has been evaluated with better performance over traditional signal controls in terms of intersection safety, efficiency, and emission. Controlling connected and autonomous vehicles (CAVs) at a reservation-based intersection in terms of improving intersection efficiency is performed via two factors: trajectory (speed profile) and arrival time of CAVs at the intersection. In an early stage of the reservation-based intersection control, an intersection controller at the intersection may fail to find a feasible solution for both the trajectory and arrival time for a CAV at a certain planning horizon. Leveraging a deeper understanding of the control problem, reservation-based intersection …

Scheduling, Complexity, And Solution Methods For Space Robot On-Orbit Servicing, Susan E. Sorenson

Graduate Theses and Dissertations

This research proposes problems, models, and solutions for the scheduling of space robot on-orbit servicing. We present the Multi-Orbit Routing and Scheduling of Refuellable On-Orbit Servicing Space Robots problem which considers on-orbit servicing across multiple orbits with moving tasks and moving refuelling depots. We formulate a mixed integer linear program model to optimize the routing and scheduling of robot servicers to accomplish on-orbit servicing tasks. We develop and demonstrate flexible algorithms for the creation of the model parameters and associated data sets. Our first algorithm creates the network arcs using orbital mechanics. We have also created a novel way to …

Reinforcement Learning Approach To Solve Dynamic Bi-Objective Police Patrol Dispatching And Rescheduling Problem, Waldy Joe, Hoong Chuin Lau, Jonathan Pan

Research Collection School Of Computing and Information Systems

Police patrol aims to fulfill two main objectives namely to project presence and to respond to incidents in a timely manner. Incidents happen dynamically and can disrupt the initially-planned patrol schedules. The key decisions to be made will be which patrol agent to be dispatched to respond to an incident and subsequently how to adapt the patrol schedules in response to such dynamically-occurring incidents whilst still fulfilling both objectives; which sometimes can be conflicting. In this paper, we define this real-world problem as a Dynamic Bi-Objective Police Patrol Dispatching and Rescheduling Problem and propose a solution approach that combines Deep …

Quantifying The Effects Of Customer Predictability On Battery Energy Storage System Cost And Emissions, Mudit Bhadresh Purohit

Theses

Electricity providers are using variable pricing to encourage customers to shift energy consumption from “peak” times. This presents a great opportunity for the customers to reduce their bills using this variable pricing strategy coupled with a battery energy storage system (BESS). The schedule of charging and discharging the BESS depends on the forecasted customer demand data. Forecasts are bound to have a certain degree of error associated with them, and hence it becomes important to understand the effect of these forecasting errors on the cost and the emissions associated with scheduling of the BESS. In this work, a method has …

The Living Breakwaters Pdr Efforts: Conceptual Scheduling, Calvin O. Walters Jr.

Publications and Research

On October 29, 2012, Superstorm Sandy caused nearly $19 billion in damages in New York City including 69,000 residential units across the five boroughs. This disaster precipitated a post-disaster-rebuilding (PDR) project including roughly $4.2 billion in a Community Development Block Grant allocated towards PDR projects. A portion of the grant was used to construct a living breakwater in Tottenville, Staten Island, consisting of a resiliency approach to risk reduction through erosion prevention, wave energy attenuation, and enhancement of ecosystems and social resiliency to improve resistance to storms for the community of Tottenville. The ridges of each breakwater are designed with …

A Study Of Scheduling Problems With Sequence Dependent Restrictions And Preferences, Nitin Srinath

All Dissertations

In some applications like fabric dying, semiconductor wafer processing, and flexible manufacturing, the machines being used to process jobs must be set up and serviced frequently. These setup processes and associated setup times between jobs often depend on the jobs and the sequence in which jobs are placed onto machines. That is, the scheduling of jobs on machines must account for the sequence-dependent setup times as well. These setup times can be a major factor in operational costs. In fabric dyeing processes, the sequence in which jobs are processed is also important for quality, i.e., there is a strong preference …

Design And Development Of A Simulation System For Scheduling In Cloud Manufacturing Based On Microservice Architecture, Yongkui Liu, Ming Zeng, Lin Zhang, Jinwei Guo, Siyang Yuan, Yaoyao Ping

Journal of System Simulation

Abstract: In view of the lack of the low coupling and highly extensible cloud manufacturing scheduling simulation system, that leads to inconvenience of the performance test on scheduling algorithms, a scalable cloud manufacturing scheduling model with the scheduling goal of the minimization of cost and completion time and the maximization of quality of service is proposed. A micro-service architecture based cloud manufacturing scheduling simulation system is designed and developed, which realizes the functions of system management, resource management, task management and simulation management, and has the characteristics of flexible autonomy, stability and scalability. The simulation system facilitates the …

A Deep Reinforcement Learning Approach With Prioritized Experience Replay And Importance Factor For Makespan Minimization In Manufacturing, Jose Napoleon Martinez

LSU Doctoral Dissertations

In this research, we investigated the application of deep reinforcement learning (DRL) to a common manufacturing scheduling optimization problem, max makespan minimization. In this application, tasks are scheduled to undergo processing in identical processing units (for instance, identical machines, machining centers, or cells). The optimization goal is to assign the jobs to be scheduled to units to minimize the maximum processing time (i.e., makespan) on any unit.

Machine learning methods have the potential to "learn" structures in the distribution of job times that could lead to improved optimization performance and time over traditional optimization methods, as well as to adapt …

Research On Optimization Of Network Resource Utilization In Static Segment Of Flexray Bus, Xinhang He, Erkang Li, Hongchao Zhang

Journal of System Simulation

Abstract: In order to improve the utilization of the network resources of the FlexRay bus, the network is optimized for static segment scheduling. The FlexRay communication mechanism is analyzed, the message model is established and the calculation method of bandwidth loss is derived, while considering the protocol overhead and network idling, taking the number of static frames and the length of the static frame payload as design variables, the overall optimal packaging scheme is obtained by solving this multi-objective optimization problem. This solution is finally applied to the vehicle chassis integrated control system for simulation analysis and verification. The results …

Scheduling Aircraft Departures To Avoid Enroute Congestion, Johannes Martinez

Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal

When scheduled flights are forecast to overcrowd sections of enroute airspace, an air traffic control authority may need to delay departures. Mixed integer linear programming can be used to compute a schedule that resolves the congestion while bringing the sum of all delays to a minimum. Standard linear programming constraint formulations for such scheduling problems, however, have poor run times for instances of realistic size. A new constraint formulation based on cycles and paths through a route graph reduces run times in computational experiments. It shows particularly strong performance for schedules that approach the worst-case solution times in standard formulations.

Conflict With Administrators: Academic Commitments Scheduling Conflicts, Mark Baker, Ali Kadouh, Elizabeth Kody, Vidhya Nadarajan, Veevek Shah, Lucki Word

Patient Education Projects

No abstract provided.

Conflict With Administrators: Negotiating Schedules, Arqam Husain, Jordan Molina, Alex Ramirez, Jessica Tan, Julia Yee

Patient Education Projects

No abstract provided.

Conflict With Administrators: Increased Hours In Work Schedule, Osama Alkhalili, Kiana Cabasa, Sikander Chohan, Carly Conway, David Huynh, Cassandra Keinath

Patient Education Projects

No abstract provided.

Conflict With Patients: Patient Frustration, Joshua Chronis, Anna Kang, Tzu Ning Liu, Serena Simpson, Stephen Venable, Benjamin Wright

Patient Education Projects

No abstract provided.

Conflict With Patients: Patient Compliance, Spencer Brown, Kenna Haile, Pooja Polamarasetti, Ivan Rakic, Dovid Rosen, Kelly Yang

Patient Education Projects

No abstract provided.

Conflict With Patients: Length Of Appointment Time, Harika Bollineni, Wendy Jin, Paul Kim, Clara Poparad-Stezar, Aaron Prater, Kenneth Sloss

Patient Education Projects

No abstract provided.

Conflict With Patients: Validating Patient's Concern, Fuad Abbas, Ahmed Ayantayo, Sara Farooqui, Omar Mahmood, Stephanie Morgan, Emile Tadros, Zachary Vaishampayan

Patient Education Projects

No abstract provided.

Conflict With Patients: Patient's Feedback On Scheduling Challenges, Austin Meadows, Jimeka Pettes

Patient Education Projects

No abstract provided.

Conflict With Administrators: Administrator Work Schedule Conflict, Sabrina Bernardo, Ahmed Elattma, Sydney Farrington, Juliana Gomez, Jonathan Shakibkhou, Anthony Talaugon

Patient Education Projects

No abstract provided.

Conflict With Administrators: Designated Time Off, Conflicts, Daniel Bota, Emilia Clementi, Jamil Jomaa, Sami Nassar, Darby Richards, Alison Rousseau

Patient Education Projects

No abstract provided.