Operations Research, Systems Engineering and Industrial Engineering Commons^™

Stochastic Programming And Agent-Based Simulation Approaches For Epidemics Control And Logistics Planning, Xuecheng Yin

Dissertations

This dissertation addresses the resource allocation challenges of fighting against infectious disease outbreaks. The goal of this dissertation is to formulate multi-stage stochastic programming and agent-based models to address the limitations of former literature in optimizing resource allocation for preventing and controlling epidemics and pandemics. In the first study, a multi-stage stochastic programming compartmental model is presented to integrate the uncertain disease progression and the logistics of resource allocation to control a highly contagious infectious disease. The proposed multi-stage stochastic program, which involves various disease growth scenarios, optimizes the distribution of treatment centers and resources while minimizing the total expected …

Using Pythagorean Fuzzy Sets (Pfs) In Multiple Criteria Group Decision Making (Mcgdm) Methods For Engineering Materials Selection Applications, Alaa Fouad Momena

Theses and Dissertations

The process of materials’ selection is very critical during the initial stages of designing manufactured products. Inefficient decision-making outcomes in the material selection process could result in poor quality of products and unnecessary costs. In the last century, numerous materials have been developed for manufacturing mechanical components in different industries. Many of these new materials are similar in their properties and performances, thus creating great challenges for designers and engineers to make accurate selections. Our main objective in this work is to assist decision makers (DMs) within the manufacturing field to evaluate materials alternatives and to select the best alternative …

Natural Resources Governance Employing Blockchain-Based Decision-Making, Farinaz Sabz Ali Pour, Adrian Gheorghe

Engineering Management & Systems Engineering Faculty Publications

Natural resources are essential structures of socio-economic systems which shape the well-being of humanity, environment, and the economy. Human actions have become the critical responsibility for environmental changes and pressuring many planetary boundaries. Having a systematic approach can provide a governance platform including the inherent characteristics of the resource, the historically established form of use, and transaction costs. A natural resource governance framework is developed by applying Blockchain technology as the primary goal of this study to regulate and manage the extraction and trades. Blockchain technology provides a distributed concurrency monitoring system for sustainable resource management. Persistent and pervasive cooperation …

Presenting To Senior Decision Makers: Clear, Concise & Complete, Kirk Michealson

Operations Management Presentations

Your manager just assigned you to lead a new project for your Vice President. You have many questions! What are the details of the project? What does the VP want to see in briefings? Does the VP have an advocate for pre-briefs? What information is important to include in the presentation? How detailed should the information be? How should the information be presented? Are there any best practices in developing presentations? In this webinar, you will learn strategies for sharing important information with key stakeholders in your career – and how to actually get them to listen!

Design Of A Distributed Real-Time E-Health Cyber Ecosystem With Collective Actions: Diagnosis, Dynamic Queueing, And Decision Making, Yanlin Zhou

Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research

In this thesis, we develop a framework for E-health Cyber Ecosystems, and look into different involved actors. The three interested parties in the ecosystem including patients, doctors, and healthcare providers are discussed in 3 different phases. In Phase 1, machine-learning based modeling and simulation analysis is performed to remotely predict a patient's risk level of having heart diseases in real time. In Phase 2, an online dynamic queueing model is devised to pair doctors with patients having high risk levels (diagnosed in Phase 1) to confirm the risk, and provide help. In Phase 3, a decision making paradigm is proposed …

Optimal Decision Making For Capacitated Reverse Logistics Networks With Quality Variations, Sajjad Farahani

Theses and Dissertations

Increasing concerns about the environmental impact of production, product take-back laws and dwindling natural resources have heightened the need to address the impact of disposing end-of-life (EOL) products. To cope this challenge, manufacturers have integrated reverse logistics into their supply chain or chosen to outsource product recovery activities to third party firms. The uncertain quality of returns as well as uncertainty in return flow limit the effectiveness of planning, control and monitoring of reverse logistics networks. In addition, there are different recovery routes for each returned product such as reuse, repair, disassembling, remanufacturing and recycling. To determine the most profitable …

On Valuing Biopharmaceutical Product Pipelines: An Effectuation Model And Evidence, Mark J. Ahn, Anne S. York, Wei Wu, Yulianto Suharto, Tugrul Unsal Daim

Engineering and Technology Management Faculty Publications and Presentations

New creative approaches are needed to manage emerging biotechnology innovations, regulations, and payor environments to enhance product pipeline productivity, valuation, and risk management. Biopharmaceutical firms must make dynamic resource allocation decisions on their relative levels of internal R&D and external strategic alliances in furthering their pipelines. As the predominant method of using discounted cash flow (DCF) methodologies may lead to chronic underinvestment and performance, we evaluated the integration of traditional DCF with an effectuation model of analysis. Unlike traditional financial models that begin with the end goal of assumed known cash flows and recursively solve for portfolio optimization, the effectuation …

Equipment Maintenance And Replacement Decision Making Processes, Michael W. Gage

Industrial and Manufacturing Engineering

This project contains recommendations for the decision making processes for support and production equipment maintenance and replacement for a large defense contractor. Recent literature has been reviewed to provide perspective on current trends in the field. A complete evaluation of their current processes and systems is included with recommendations on areas for improvement. A decision support system is also proposed to supplement their existing decision making.

Effects Of Signal Ambiguity And Signal Location On Target Detection Under Varying Degrees Of Time Constraint, Kimberly E. Culley

Psychology Theses & Dissertations

The purpose of the current study was to investigate the effects of decision-making strategies and tendencies, time constraint, and signal characteristics on decision-making performance utilizing the fuzzy signal detection theory framework. Participants were tasked with deciding whether x-ray images of passenger luggage contained hazardous objects.

The first objective of the study was to develop a methodology for quantifying optimizing versus satisficing tendencies in decision making through direct measurement and observation.

The second objective of the study was to examine how time constraint and specific signal characteristics contribute to decision making. Interestingly, despite having more time available to conduct a comprehensive …

Supply Chain Network Design: Risk-Averse Vs. Risk-Neutral Decision Making, Alireza Madadi

All Dissertations

Recent events, such as the Heparin tragedy, highlight the necessity for designers and planners of supply chain networks to consider the risk of disruptions in spite of their low probability of occurrence. One effective way to hedge against supply chain network disruptions is to have a robustly designed supply chain network. This involves strategic decisions, such as choosing which markets to serve, which suppliers to source from, the location of plants, the types of facilities to use, and tactical decisions, such as production and capacity allocation. In this dissertation, we focus on models for designing supply chain networks that are …

The Effects Of Weather Recognition Training On General Aviation Pilot Situation Assessment And Tactical Decision Making When Confronted With Adverse Weather Conditions, Chansik Kim

All Dissertations

Previous general aviation (GA) accident studies showed that decision errors were more associated with fatal GA accidents than other kinds of human errors, and weather related accidents, especially continued visual flight rules (VFR) flight into instrument meteorological conditions (IMC), remained the major cause of fatal GA accidents. Thus, finding the underlying causes of GA pilots' decision errors and continued VFR flight into adverse weather conditions are needed to reduce weather related GA accidents as well as fatal GA accidents.
Causal factors and hypotheses of weather related GA accidents show that knowledge, experience, motivation, and weather information frequently have been referred …

The Optimization Of The Threshold For The Preventive Maintenance Actions In A Condition-Based Maintenance Program Via Dynamic Programming Approach, Kamran Shahanaghi, Mehdi Jafarian, Majid Beikverdi, Zeinab Nezhadbiglari

Mehdi Jafarian

The last step of a condition based maintenance (CBM) program is maintenance decision-making. This step is the most important and the most critical stage of maintenance for executive personnel and management whom work on taking maintenance actions. This decision making would be done according to certain criteria such as risk, cost, reliability and availability. This paper considered a dynamic programming model to optimization of the threshold for the preventive maintenance actions in a condition-based maintenance program. The basis of this modeling is the average cost of maintenance actions, failures and exchanges. In this paper, we improved the memory of the …

Modeling Systems For Optimal Resource Allocation, Scheduling, And Decision Making, Esengul Tayfur

All Dissertations

This dissertation focuses on the resource requirements and scheduling problem for logistic systems. We investigate solutions to this problem in two different logistic systems: logistic system of the health care facilities during emergency evacuations and delivery and distribution system of production industries. All hospitals must have an evacuation plan to ensure the safety of patients and prevent the loss of life. However, hospital operators have not been able to quantify how resource availability, the cost of acquiring those resources, and evacuation completion time are related. This research addresses this problem and contributes two methodologies to solve this problem. In the …

The Optimization Of The Threshold For The Preventive Maintenance Actions In A Condition-Based Maintenance Program Via Dynamic Programming Approach, Mehdi Jafarian, Majid Beikverdi, Kamran Shahanaghi, Zeinab Nezhadbiglari

Mehdi Jafarian

The last step of a condition based maintenance (CBM) program is maintenance decision-making. This step is the most important and the most critical stage of maintenance for executive personnel and management whom work on taking maintenance actions. This decision making would be done according to certain criteria such as risk, cost, reliability and availability. This paper considered a dynamic programming model to optimization of the threshold for the preventive maintenance actions in a condition-based maintenance program. The basis of this modeling is the average cost of maintenance actions, failures and exchanges. In this paper, we improved the memory of the …

A Nonlinear Dynamic Method For Supporting Large-Scale Decision-Making In Uncertain Environments, Wayne Woodhams

Engineering Management & Systems Engineering Theses & Dissertations

This research developed a methodology for supporting decision making by reducing uncertainty in decision environments which are too large, dynamic and complex to be treated by traditional quantitative and simulation techniques. These environments are complex because of the free choice associated with human involvement, and the existence of a large number of interrelated factors which influence the outcomes of the decision process. They are dynamic because the ground rules affecting those interrelationships are constantly changing. Uncertainty cannot be treated probabilistically, since identification of a full set of outcomes and factors of influence is not possible.

The venue for the investigation …