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Enhanced Load Balancing Based On Hybrid Artificial Bee Colony With Enhanced Β-Hill Climbing In Cloud, Maha Zeedan, Gamal Attiya, Nawal El-Fishawy Jan 2023

Enhanced Load Balancing Based On Hybrid Artificial Bee Colony With Enhanced Β-Hill Climbing In Cloud, Maha Zeedan, Gamal Attiya, Nawal El-Fishawy

Mansoura Engineering Journal

This paper proposes enhanced load balancer based artificial bee colony and β-Hill climbing for improving the performance metrics such as response time, processing cost, and utilization to avoid overloaded or under loaded situations of virtual machines. In this study, the suggested load balancer is called enhanced load balancing based on hybrid artificial bee colony with enhanced β-Hill climbing (ELBABCEβHC) to improve the response time, processing cost and the resource utilization. Our proposed approach starts by ranking the task then the greedy randomized adaptive search procedure (GRASP) is used in initializing populations. Further, the binary artificial bee colony (BABC) enhanced with …


Rate-Monotonic Scheduler For Lora-Based Smart Space Monitoring System, Preti Kumari, Hari Prabhat Gupta, Sajal K. Das, Rahul Bansal Jan 2023

Rate-Monotonic Scheduler For Lora-Based Smart Space Monitoring System, Preti Kumari, Hari Prabhat Gupta, Sajal K. Das, Rahul Bansal

Computer Science Faculty Research & Creative Works

Smart spaces system equipped with sensors to collect data that can be used to generate insights about its environmental conditions. Those collected data is then transmitted to the applications to enhance the comfort, quality of life, and security of the space. Long Range (LoRa) technology provides long distance coverage and consumes low energy which makes it suitable for smart space application. There are six virtual channels to transmit data in LoRa, however network faces the interference problem when nodes transmitted data at the same time. The interference problem makes LoRa less suitable for time-critical applications. To mitigate the interference problem, …


Essays On Perioperative Services Problems In Healthcare, Amogh S. Bhosekar Dec 2022

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 Dec 2022

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 Dec 2022

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 Solution To Safe Patient Handoffs & Improved Patient Flow: Creation Of The Admission, Discharge, Transfer (Adt) Nurse, Kelsey Tavs Nov 2022

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 Nov 2022

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 Oct 2022

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


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 Aug 2022

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 Aug 2022

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 …


Scheduling, Complexity, And Solution Methods For Space Robot On-Orbit Servicing, Susan E. Sorenson Aug 2022

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 …


Optimal Scheduling Of Connected And Autonomous Vehicles At A Reservation-Based Intersection., Muting Ma Aug 2022

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 …


Reinforcement Learning Approach To Solve Dynamic Bi-Objective Police Patrol Dispatching And Rescheduling Problem, Waldy Joe, Hoong Chuin Lau, Jonathan Pan Jun 2022

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 Jun 2022

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 …


A Study Of Scheduling Problems With Sequence Dependent Restrictions And Preferences, Nitin Srinath May 2022

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 Apr 2022

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 Apr 2022

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 Mar 2022

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 Mar 2022

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.


Development Of Minimum Delta-V Trajectories To Service Geo Assets From Cislunar Space, Alexander C. Urban Mar 2022

Development Of Minimum Delta-V Trajectories To Service Geo Assets From Cislunar Space, Alexander C. Urban

Theses and Dissertations

Orbits around Earth are becoming increasingly congested and contested, posing potential future threats to space assets. Cislunar space may offer an effective solution to these problems by offering storage for servicing and replacement vehicles. This investigation explores how to minimize the dV costs required of a network of service vehicles traveling from cislunar space to GEO using in-situ resource utilization. In this investigation the arc costs of an event-driven generalized multicommodity network flow are generated for creation of a model to be used to develop a dynamic scheduler. High-thrust trajectories between various inclinations of GEO, an Earth-Moon L1 Lyapunov orbit …


Hybrid Tabu Search Algorithm For Unrelated Parallel Machine Scheduling In Semiconductor Fabs With Setup Times, Job Release, And Expired Times, Changyu Chen, Madhi Fathi, Marzieh Khakifirooz, Kan Wu Mar 2022

Hybrid Tabu Search Algorithm For Unrelated Parallel Machine Scheduling In Semiconductor Fabs With Setup Times, Job Release, And Expired Times, Changyu Chen, Madhi Fathi, Marzieh Khakifirooz, Kan Wu

Research Collection School Of Computing and Information Systems

This research is motivated by a scheduling problem arising in the ion implantation process of wafer fabrication. The ion implementation scheduling problem is modeled as an unrelated parallel machine scheduling (UPMS) problem with sequence-dependent setup times that are subject to job release time and expiration time of allowing a job to be processed on a specific machine, defined as: R|rj,eij,STsd|Cmax. The objective is first to maximize the number of processed jobs, then minimize the maximum completion time (makespan), and finally minimize the maximum completion times of the non-bottleneck machines. A mixed-integer programming (MIP) model is proposed as a solution approach …


Law Library Blog (February 2022): Legal Beagle's Blog Archive, Roger Williams University School Of Law Feb 2022

Law Library Blog (February 2022): Legal Beagle's Blog Archive, Roger Williams University School Of Law

Law Library Newsletters/Blog

No abstract provided.


Operating Room Scheduling Optimization Based On A Fuzzy Uncertainty Approach And Metaheuristic Algorithms, P Maghzi, M Mohammadi, S H.R Pasandideh, B Naderi Feb 2022

Operating Room Scheduling Optimization Based On A Fuzzy Uncertainty Approach And Metaheuristic Algorithms, P Maghzi, M Mohammadi, S H.R Pasandideh, B Naderi

Electrical and Computer Engineering Publications

Today, planning and scheduling problems are the most significant issues in the world and make a great impact on improving organizational productivity and serving systems such as medical and healthcare providers. Since operating room planning is a major problem in healthcare organizations, the optimization of medical staff and equipment plays an essential role. Thus, this study presents a multi-objective mathematical model with a new categorization (preoperative, intraoperative, and postoperative) to minimize operating room scheduling and the risk of using equipment. Time constraints in healthcare systems and medical equipment limited capacity are the most significant considered limitation in the present study. …


Mathematical Formulations For Complex Resource Scheduling Problems., T. R. Lalita Dr. Jan 2022

Mathematical Formulations For Complex Resource Scheduling Problems., T. R. Lalita Dr.

Doctoral Theses

This thesis deals with development of effective models for large scale real-world resource scheduling problems. Efficient utilization of resources is crucial for any organization or industry as resources are often scarce. Scheduling them in an optimal way can not only take care of the scarcity but has potential economic benefits. Optimal utilization of resources reduces costs and thereby provides a competitive edge in the business world. Resources can be of different types such as human (personnel-skilled and unskilled), financial(budgets), materials, infrastructures(airports and seaports with designed facilities, windmills, warehouses’ area, hotel rooms etc) and equipment (microprocessors, cranes, machinery, aircraft simulators for …


A Parameter Tuned Hybrid Algorithm For Solving Flow Shop Scheduling Problems With Parallel Assembly Stages, Mona Jabbari, Madjid Tavana, Parviz Fattahi, Fatemeh Daneshamooz Jan 2022

A Parameter Tuned Hybrid Algorithm For Solving Flow Shop Scheduling Problems With Parallel Assembly Stages, Mona Jabbari, Madjid Tavana, Parviz Fattahi, Fatemeh Daneshamooz

Business Systems and Analytics Faculty Work

In this paper, we study the scheduling problem for a customized production system consisting of a flow shop production line with a parallel assembly stage that produces various products in two stages. In the first stage of the production line, parts are produced using a flow shop production line, and in the second stage, products are assembled on one of the parallel assembly lines. The objective is to minimize the time required to complete all goods (makespan) using efficient scheduling. A mathematical model is developed; however, the model is NP-hard and cannot be solved in a reasonable amount of time. …


The Veteran Administration’S Appointment Scheduling Processes’ Effect On The Homeless Women Veteran’S Phenomenon, Vicki Ann Thompson Jan 2022

The Veteran Administration’S Appointment Scheduling Processes’ Effect On The Homeless Women Veteran’S Phenomenon, Vicki Ann Thompson

Walden Dissertations and Doctoral Studies

Concealed numbers of homeless women veterans could be exposed in the Veterans Administration (VA) appointment scheduling data. The challenges of scheduling healthcare or mental health appointments with the VA could prevent homeless women veterans from gaining access. Studies have shown the problems that male veterans have with scheduling appointments. However, not much research exists on the issues homeless female veterans face in scheduling appointments with the VA. This quantitative study examined the correlation between the number of women and men veterans on the VA’s electronic wait list and the percentages of unsheltered women and men veterans at the Continuum of …


Residential Demand Side Management Model, Optimization And Future Perspective: A Review, Subhasis Panda, Sarthak Mohanty, Pravat Kumar Rout, Binod Kumar Sahu, Mohit Bajaj, Dr Hossam Zawbaa, Salah Kamel Jan 2022

Residential Demand Side Management Model, Optimization And Future Perspective: A Review, Subhasis Panda, Sarthak Mohanty, Pravat Kumar Rout, Binod Kumar Sahu, Mohit Bajaj, Dr Hossam Zawbaa, Salah Kamel

Articles

The residential load sector plays a vital role in terms of its impact on overall power balance, stability, and efficient power management. However, the load dynamics of the energy demand of residential users are always nonlinear, uncontrollable, and inelastic concerning power grid regulation and management. The integration of distributed generations (DGs) and advancement of information and communication technology (ICT) even though handles the related issues and challenges up to some extent, till the flexibility, energy management and scheduling with better planning are necessary for the residential sector to achieve better grid stability and efficiency. To address these issues, it is …


City Of Guadalupe Cultural Arts & Education Center Veterans Memorial Wall, Alejandra Arroyo Perez Dec 2021

City Of Guadalupe Cultural Arts & Education Center Veterans Memorial Wall, Alejandra Arroyo Perez

Construction Management

As a student in Construction Management, the importance of firsthand experience in the construction industry should not be taken lightly. The responsibility of every construction manager is to learn how to take a project from concept to reality. The primary five elements of construction management entail project programming, design development, material specifications, estimating, and scheduling. This paper documents the construction management process related to a Veterans Memorial Wall. Through coordination with the project stakeholders (i.e. property owners, engineer consultants, material fabricators, and vendors) a fully immersive construction management experience is gained. One of the stakeholder requirements was to establish a …


Resource Modelling For The Qc Laboratory At Xyz Pharmaceuticals In Southern Africa, Ngonidzashe Portia Munhuweyi, Z Ekeocha, S Byrn, K Clase Nov 2021

Resource Modelling For The Qc Laboratory At Xyz Pharmaceuticals In Southern Africa, Ngonidzashe Portia Munhuweyi, Z Ekeocha, S Byrn, K Clase

BIRS Africa Technical Report Papers

Quality control (QC) laboratories are critical components in drug manufacturing and running them efficiently contributes to better, consistent supply of cost-effective quality products, while also and preventing deaths due to untimely delivery or unavailability of medicines. Having a resource modelling tool to estimate resources needed to handle a particular demand in a given system is essential for efficient running of QC laboratory. This study was done to establish such a model at XYZ Pharmaceuticals. The list of all products manufactured by XYZ Pharmaceuticals Southern Africa was reviewed; and product families for all products were identified. Analysts’ hands on time (HOT) …


Innovations In The Field Of On-Board Scheduling Technologies, Temenuzhka Avramova, Alessandro Benetton, Christian Cardenio, Riccardo Maderna Aug 2021

Innovations In The Field Of On-Board Scheduling Technologies, Temenuzhka Avramova, Alessandro Benetton, Christian Cardenio, Riccardo Maderna

Small Satellite Conference

Space missions are characterized by long distances, difficult or unavailable communication and high operating costs. Moreover, complexity has been constantly increasing in recent years. For this reason, improving the autonomy of space operators is an attractive goal to increase the mission reward with lower costs. This paper proposes an onboard scheduler, that integrates inside an onboard software framework for mission autonomy. Given a set of activities, it is responsible for determining the starting time of each activity according to their priority, order constraints, and resource consumption. The presented scheduler is based on linear integer programming and relies on the use …