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Utilization Of Integer Programming For Scheduling Maintenance At Nuclear Power Plants, Timothy Gallacher Dec 2023

Utilization Of Integer Programming For Scheduling Maintenance At Nuclear Power Plants, Timothy Gallacher

Doctoral Dissertations

This thesis develops a thought that naturally explores three specific motifs for solving the complexities of scheduling maintenance at Nuclear Power Plants (NPP). The first chapter of this paper will develop the initial thought around creating a schedule for a given work week, including all the various constraints inherent to this problem. Such constraints include but are not limited to personnel availability, allowable component out-of-service time, and the Plant Risk Assessment. The objective function being to minimize the total cost of worker’s compensation for that given week.

The second chapter addresses the question of whether this simple schedule can be …


2nd Annual Girls Build Summer Academy: Logistics And Scheduling, Matteo Cade Cuccaro Dec 2023

2nd Annual Girls Build Summer Academy: Logistics And Scheduling, Matteo Cade Cuccaro

Construction Management

This paper discusses the logistics and scheduling involved for Cal Poly construction management department’s second annual Girls Build Summer Academy. The week-long academy was hosted to introduce construction related activities to 19 high school-aged girls so they could learn more about the careers available within the architecture, engineering, and construction industry, while learning skills to build individual and team projects. To achieve this goal, a full schedule was developed for each day of the camp, allowing for a variety of activities, including listening to guest speakers, completing building projects, and training to safely use tools. There were many challenges that …


Heuristics For Lagrangian Relaxation Formulations For The Unit Commitment Problem, Stephen Opeyemi Fatokun Aug 2023

Heuristics For Lagrangian Relaxation Formulations For The Unit Commitment Problem, Stephen Opeyemi Fatokun

Doctoral Dissertations

The expansion of distributed energy resources (DER), demand response (DR), and virtual bidding in many power systems and energy markets are creating new challenges for unit commitment (UC) and economic dispatch (ED) techniques. Instead of a small number of traditionally large generators, the power system resource mix is moving to one with a high percentage of a large number of small units. These can increase the number of similar or identical units, leading to chattering (switching back and forth among committed units between iterations). This research investigates alternative and scalable ways of increasing the high penetration of these resources.

First, …


Standardizing Hands-On Building Activities In Commercial Construction Management And Recommendations For Semester Conversion Adaptations, Lauren T. Mcclurg Jun 2023

Standardizing Hands-On Building Activities In Commercial Construction Management And Recommendations For Semester Conversion Adaptations, Lauren T. Mcclurg

Construction Management

CM 313 Commercial Construction Management at Cal Poly is an integrated lab course and one of the main hands-on learning experiences construction management students participate in. It is currently administered in the quarter system and as the university transitions to the semester calendar, the lab needs to be converted in order to accommodate this change. The main purpose of this project was to document existing practices and improve the process and experience for students, instructional students assistants, Simpson Strong Tie coordinator, and other professors of CM 313. This project included creating a builders guide to help the student assistants by …


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 …


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 …


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 …


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 …


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 …


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 …


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 …


Quality And Productivity Improvements In Additive Manufacturing, Huseyin Kose Aug 2021

Quality And Productivity Improvements In Additive Manufacturing, Huseyin Kose

Doctoral Dissertations

Additive manufacturing (AM) is a relatively new manufacturing technology compared to the traditional manufacturing methods. Even though AM processes have many advantages, they also have a series of challenges that need to be addressed to adapt this technology for a wide range of applications and mass production.

AM faces a number of challenges, including the absence of methods/models for determining whether AM is the best manufacturing process for a given part. The first study of this thesis proposes a framework for choosing specific AM processes by considering the complexity level of a part. It has been proven that the method …


Optimizing Work Zone Schedules Considering Traffic Diversion With Artificial Bee Colony Algorithm, Celina Semaan May 2021

Optimizing Work Zone Schedules Considering Traffic Diversion With Artificial Bee Colony Algorithm, Celina Semaan

Dissertations

Highway maintenance activities often decrease roadway capacity and intrude traffic movements. The need to finish the project on time and under a specific budget while minimizing the traffic congestion and complying with the emission standards requires an appropriate work zone schedule optimization. The objective of this research is to improve the efficiency of work zone activities and minimize the total project cost including maintenance, user, and emission cost.

While previous studies investigated the work zone optimization problem, they did not consider the implementation of emission standards nor applied a green diversion strategy. This dissertation analyzes the optimization of work zone …


Experience-Driven Control For Networking And Computing, Zhiyuan Xu May 2021

Experience-Driven Control For Networking And Computing, Zhiyuan Xu

Dissertations - ALL

Modern networking and computing systems have become very complicated and highly dynamic, which makes them hard to model, predict and control. In this thesis, we aim to study system control problems from a whole new perspective by leveraging emerging Deep Reinforcement Learning (DRL), to develop experience-driven model-free approaches, which enable a network or a device to learn the best way to control itself from its own experience (e.g., runtime statistics data) rather than from accurate mathematical models, just as a human learns a new skill (e.g., driving, swimming, etc). To demonstrate the feasibility and superiority of this experience-driven control design …


Experience-Driven Control For Networking And Computing, Zhiyuan Xu May 2021

Experience-Driven Control For Networking And Computing, Zhiyuan Xu

Dissertations - ALL

Modern networking and computing systems have become very complicated and highly dynamic, which makes them hard to model, predict and control. In this thesis, we aim to study system control problems from a whole new perspective by leveraging emerging Deep Reinforcement Learning (DRL), to develop experience-driven model-free approaches, which enable a network or a device to learn the best way to control itself from its own experience (e.g., runtime statistics data) rather than from accurate mathematical models, just as a human learns a new skill (e.g., driving, swimming, etc). To demonstrate the feasibility and superiority of this experience-driven control design …


Appointment Scheduling System, Guzaloi Noori Jan 2021

Appointment Scheduling System, Guzaloi Noori

Undergraduate Honors Theses

Appointment Scheduling System designed for universities so that students can schedule appointments with their university’s faculty and staff regarding academic, employment, immigration, or personal issues. The scheduling system has the ability of being embedded to the Computer Science Capstone project iAcademic, which I took part in as a front-end developer.


Solving Process Planning And Scheduling Problems Using The Concept Of Maximum Weighted Independent Set, Kai Sun Aug 2020

Solving Process Planning And Scheduling Problems Using The Concept Of Maximum Weighted Independent Set, Kai Sun

Dissertations - ALL

Process planning and scheduling (PPS) is an essential and practical topic but a very intractable problem in manufacturing systems. Many research studies use iterative methods to solve such problems; however, they cannot achieve satisfactory results in both quality and computational speed. Other studies formulate scheduling problems as a graph coloring problem (GCP) or its extensions, but these formulations are limited to certain types of scheduling problems. In this dissertation, we propose a novel approach to formulate a general type of the PPS problem with resource allocation and process planning integrated towards a typical objective, minimizing the makespan. The PPS problem …


Cal Poly Rodeo Observation Deck, Timothy Smith Jun 2020

Cal Poly Rodeo Observation Deck, Timothy Smith

Construction Management

This senior project was designed to help continue the winning tradition that the Cal Poly Rodeo program established in 1939 with a new observation deck for the practice arena. The major steps taken to complete this project were design, fundraising and construction. The total area of the deck is approximately 1,100 square feet and includes connections to an ADA approved ramp and multiple staircases. This is a landmark project for the Cal Poly Rodeo program and will assist them in keeping the winning Mustang tradition alive.


Introducing Sequencing Within The Advanced Scheduling Curriculum, Adam Cole Alvarez Jun 2020

Introducing Sequencing Within The Advanced Scheduling Curriculum, Adam Cole Alvarez

Construction Management

Scheduling is one of the most important factors within the construction industry. The current Advanced Scheduling curriculum addresses how to use the program P6, but not the understanding of how to sequence. This project introduced two new lab activities that focus on the understanding of sequencing while using P6. I chose this project because I have always had an interest in scheduling as it is one of the most important driving factors in construction and after taking Advanced Scheduling in my Junior year I noticed there is a need for understanding sequencing. I wanted to introduce a new curriculum because …


Performance Enhancement Techniques For Next-Generation Multi-Service Communication And Medical Cyber-Physical Systems, Ali Fatih Demir Mar 2020

Performance Enhancement Techniques For Next-Generation Multi-Service Communication And Medical Cyber-Physical Systems, Ali Fatih Demir

USF Tampa Graduate Theses and Dissertations

Advances in science and technology have significantly improved our quality of life over the past decades. For example, wireless communication systems have evolved from basic voice services to delivering high-definition video for entertainment or business conferences at an accelerating pace. Furthermore, progress in cyber-physical systems has led to the development of brain-computer interfaces and wireless body area networks with the vision of advanced pervasive healthcare, anytime and anywhere. The primary motivation of this dissertation is to improve the performance of the next-generation multi-service communication and medical cyber-physical systems.

The research has been concentrated in physical (PHY)/medium access control (MAC) layer …


Bi-Objective Optimization For A Single Batch Processing Machine, Leena Omar Ghrayeb Jan 2020

Bi-Objective Optimization For A Single Batch Processing Machine, Leena Omar Ghrayeb

Graduate Research Theses & Dissertations

This research proposes a methodology for solving the problem of scheduling jobs with unequal ready times, unequal processing times, and unequal sizes on a single batch processing machine, with the objectives of minimizing makespan and maximum tardiness. Jobs must be placed into batches and scheduled on the machine such that both objectives are minimized, and machine capacity is not violated. The problem under study can be denoted as 1|p-batch, sj, rj| Cmax,Tmax. Based on a review of relevant literature, this problem has not been considered before.

The problem under study is NP-hard. Consequently, meta-heuristics such as Simulated Annealing (SA) and …


Balancing Labor Requirements In A Manufacturing Environment, Patrick Bernard Dwyer Jan 2020

Balancing Labor Requirements In A Manufacturing Environment, Patrick Bernard Dwyer

Doctoral Dissertations

“This research examines construction environments within manufacturing facilities, specifically semiconductor manufacturing facilities, and develops a new optimization method that is scalable for large construction projects with multiple execution modes and resource constraints. The model is developed to represent real-world conditions in which project activities do not have a fixed, prespecified duration but rather a total amount of work that is directly impacted by the level of resources assigned. To expand on the concept of resource driven project durations, this research aims to mimic manufacturing construction environments by allowing a non-continuous resource allocation to project tasks. This concept allows for resources …


Leveraging Cloud-Based Nfv And Sdn Platform Towards Quality-Driven Next-Generation Mobile Networks, Hassan Hawilo Dec 2019

Leveraging Cloud-Based Nfv And Sdn Platform Towards Quality-Driven Next-Generation Mobile Networks, Hassan Hawilo

Electronic Thesis and Dissertation Repository

Network virtualization has become a key approach for Network Service Providers (NSPs) to mitigate the challenge of the continually increasing demands for network services. Tightly coupled with their software components, legacy network devices are difficult to upgrade or modify to meet the dynamically changing end-user needs. To virtualize their infrastructure and mitigate those challenges, NSPs have started to adopt Software Defined Networking (SDN) and Network Function Virtualization (NFV). To this end, this thesis addresses the challenges faced on the road of transforming the legacy networking infrastructure to a more dynamic and agile virtualized environment to meet the rapidly increasing demand …


Home Energy Management System For Demand Response Purposes, Isra Adam Hussein Haroun Nov 2019

Home Energy Management System For Demand Response Purposes, Isra Adam Hussein Haroun

Theses

The growing demand for electricity has led to increasing efforts to generate and satisfy the rising demand. This led to suppliers attempting to reduce consumption with the help of the users. Requests to shift unnecessary loads off the peak hours, using other sources of generators to supply the grid while offering incentives to the users have made a significant effect. Furthermore, automated solutions were implemented with the help of Home Energy Management Systems (HEMS) where the user can remotely manage household loads to reduce consumption or cost. Demand Response (DR) is the process of reducing power consumption in a response …


Assessment Of Some Of The Common Practices Used In Scheduling Highway Projects, Jennifer Reyes Aug 2019

Assessment Of Some Of The Common Practices Used In Scheduling Highway Projects, Jennifer Reyes

Theses and Dissertations

There are several factors documented in the literature that can affect the accuracy of estimated project durations in highway construction, such as weather, location, and soil conditions. Recently, the Texas Department of Transportation (TxDOT) raised a concern regarding some of the practices used when estimating the contract time for projects. This research presents an assessment of the effect that two practices identified have on the estimated project duration. These two practices include: 1) the estimated lead/lag times in project schedules and 2) scheduling with only critical or controlling activities. The effect of these practices is measured, primarily, by using four …


Creating A Pull Planning Guide For Industry Use, Michael B. Avila Jun 2019

Creating A Pull Planning Guide For Industry Use, Michael B. Avila

Construction Management

The construction industry is quickly making Pull Planning sessions a commodity only the largest companies can afford due to expensive consultants and the common perception of a complicated process. Pull Planning does not need to be complicated but can be quickly implemented by all types of companies utilizing extensive research completed on The Last Planner System. The benefits of Pull Planning include creating buy-in to the plan, making hand-offs known, and creating reliability and trust from the key Players on a project. As the demand for a more productive construction project rises, it is increasingly important for the scheduling methods …


A Bridge And Engine Room Staffing And Scheduling Model For Robust Mission Accomplishment In The Littoral Combat Ships, John P. Cordle Apr 2019

A Bridge And Engine Room Staffing And Scheduling Model For Robust Mission Accomplishment In The Littoral Combat Ships, John P. Cordle

Engineering Management & Systems Engineering Projects for D. Eng. Degree

The Navy’s Littoral Combat Ships were designed to be relatively small surface vessels for operations near a littoral shore theater. These ships were envisioned to be highly automated, networked, agile, stealthy surface combatants capable of defeating anti-access and asymmetric threats in the littorals with minimum manpower. To date, however, some of these ships have experienced significant engineering and propulsion plant failures that impacted mission accomplishment and were attributable, at least in part, to under staffing and over scheduling the human component of the automation-human operational environment. The critical human components on the Littoral Combat Ship are bridge and engine room …


Automatic Resource Management And Performance Optimization In Clusters, Yudi Wei Jan 2019

Automatic Resource Management And Performance Optimization In Clusters, Yudi Wei

Wayne State University Dissertations

Virtual machine is a primary way to increase resource utilizations in data centers by encapsulating multi-resource demands for applications and providing performance isolation. Moreover, the resource configuration can change on the fly to satisfy performance target. Container is another popular way for fine-grained multi-resource allocation. In this disser- tation work, we aim to design and implement an automatic resource management system to improve application performance, optimize system efficiency and job completion times in virtual and physical clusters respectively.

For large-scale applications hosted in data center, automatic resource configuration is crucial to service availability and quality. The workload dynamics, cloud dynamics …