Operations Research, Systems Engineering and Industrial Engineering Commons^™

Reserved Optimisation: Handling Incident Priorities In Emergency Response Systems, Muralidhar Konda, Supriyo Ghosh, Pradeep Varakantham

Research Collection School Of Computing and Information Systems

Emergency (medical, fire or criminal) Management Systems(EMSs) are crucial for ensuring public safety and security. Typically in many cities, less than 20% of the cases received by EMSs belong to the extremely serious category and require immediate help. Rest of the incidents typically are less serious and thereby allow more flexibility in response time. Therefore, for efficient management of EMS requests, several EMSs now categorise an incoming emergency request into apriority level based on well studied “triaging” methods. Leading research on optimising emergency response has either focussed on data-driven models for settings with homogenous incidents or on generic heuristics (that …

Bounded Rank Optimization For Effective And Efficient Emergency Response, Pallavi Madhusudan Manohar, Pradeep Varakantham, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

Effective placement of emergency response vehicles (such as ambulances, fire trucks, police cars) to deal with medical, fire or criminal activities can reduce the incident response time by few seconds, which in turn can potentially save a human life. Owing to its adoption in Emergency Medical Services (EMSs) worldwide, existing research on improving emergency response has focused on optimizing the objective of bounded time (i.e. number of incidents served in a fixed time). Due to the dependence of this objective on temporal uncertainty, optimizing the bounded time objective is challenging. In this paper, we propose a new objective referred to …

Development Of The Commodity Strategy: The Case Of Sidel, Giuseppe Celiberti

Theses

The thesis will address the development of the sourcing strategy in Sidel, a manufacturing company that provides packaging equipment for liquids such as water, carbonated and non-carbonated soft drinks, sensitive beverages like milk, and liquid dairy products.

It is developed the sourcing strategy structure that characterizes every commodity, with a particular focus on the commodity execution process. Then, it is discussed a concrete case: the one of Nitro Dozers. In order to achieve the goal, it is used a systematic approach that focuses on different steps, from the Product overview and Spend analysis to the supplier assessment and benchmarking.

After …

Family Business: Innovation And Tradition In A Global Economy, Francesca Fornasari

Theses

Eighty-five percent of Italian companies are run as a family business. They are considered vital for Italian economy. The purpose of this thesis is to study how these companies challenge the global market to understand if the globalization can cause them disadvantages or benefits. The study explains what a family business is and who are the components that can be part of it. Then it focuses on the structure of the firms, how the families run their businesses and organize the tasks between the family members. This thesis considers the strategies of innovation adopted by the family to remain competitive …

Knowledge Management In New Product Development (Npd), Luca Maria Mancinelli

Theses

This thesis analyses features that, in New Product Development process (NPD), foster knowledge, and their contribution to the creation and application of knowledge with the aim of increasing both global performance and organizational effectiveness. Since knowledge is becoming more important to achieve competitive advantage, companies have already started to focus on their ability to generate new competencies and create new opportunities for producing new knowledge.

One of the issues compelling knowledge management understands what aspects of the organization's work system and organizational design affect its ability to acquire, create and apply knowledge. In fact, the way that workers are organized …

Start-Up And Open Innovation, Gonxhe Tali

Theses

Nowadays, in many industries the traditional research and development approach has become obsolete. For this reason, during the past two years companies started focusing on Startups and the Open Innovation. Firms should use internal and external relationships, ideas and paths in order to advance their organizational process and technology. Open Innovation combines all those ideas into a system and defines all the requirements for the new business model.

The purpose of this thesis is to illustrate how Startups successfully organize and manage open Innovation with large and small companies and to highlights the strengths, weaknesses, challenges and barriers faced by …

Halal Certification For An Industrial Machine Intended To Come In Contact With Food, Luca Caffarelli

Theses

Halal Certification is a worldwide recognition that the products are permissible under Islamic law. These products are thus edible, drinkable or usable by Muslims. It can be extended to industrial machinery and tools. This Certification must be issued by a Notified Body under the supervision of an IMAM. Focus of the Certification are GMPs and Food Contact Materials and Articles. Four main phases to achieve Certification (the scheme is the same of ISO 14001, ISO 18001 and ISO 9001):

• Pre-Audit - The activity is to evaluate the documentation describing our internal system.
• Audit - The activity is to evaluate how …

Applications Of Complex Network Analysis In Electric Power Systems, Mahmoud Saleh, Yusef Esa, Ahmed Mohamed

Publications and Research

This paper provides a review of the research conducted on complex network analysis (CNA) in electric power systems. Moreover, a new approach is presented to find optimal locations for microgrids (MGs) in electric distribution systems (EDS) utilizing complex network analysis. The optimal placement in this paper points to the location that will result in enhanced grid resilience, reduced power losses and line loading, better voltage stability, and a supply to critical loads during a blackout. The criteria used to point out the optimal placement of the MGs were predicated on the centrality analysis selected from the complex network theory, the …

Bridge Inspection: Human Performance, Unmanned Aerial Systems And Automation, Sattar Dorafshan, Marc Maguire

Civil and Environmental Engineering Faculty Publications

Unmanned aerial systems (UASs) have become of considerable private and commercial interest for a variety of jobs and entertainment in the past 10 years. This paper is a literature review of the state of practice for the United States bridge inspection programs and outlines how automated and unmanned bridge inspections can be made suitable for present and future needs. At its best, current technology limits UAS use to an assistive tool for the inspector to perform a bridge inspection faster, safer, and without traffic closure. The major challenges for UASs are satisfying restrictive Federal Aviation Administration regulations, control issues in …

Risk Assessment Of Dropped Cylindrical Objects In Offshore Operations, Adelina Steven

LSU New Orleans Theses and Dissertations

Dropped object are defined as any object that fall under its own weight from a previously static position or fell due to an applied force from equipment or a moving object. It is among the top ten causes of injuries and fatality in oil and gas industry. To solve this problem, several in-house tools and guidelines is developed over time to assess the risk of dropped objects on the sub-sea structures. This thesis focuses on compiling and comparing those methods in hope to improve the recommended practices available in the market. A simple modification is done on the in-house tools …

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 …

Bi-Directional Testing For Change Point Detection In Poisson Processes, Moinak Bhaduri

UNLV Theses, Dissertations, Professional Papers, and Capstones

Point processes often serve as a natural language to chronicle an event's temporal evolution, and significant changes in the flow, synonymous with non-stationarity, are usually triggered by assignable and frequently preventable causes, often heralding devastating ramifications. Examples include amplified restlessness of a volcano, increased frequencies of airplane crashes, hurricanes, mining mishaps, among others. Guessing these time points of changes, therefore, merits utmost care. Switching the way time traditionally propagates, we posit a new genre of bidirectional tests which, despite a frugal construct, prove to be exceedingly efficient in culling out non-stationarity under a wide spectrum of environments. A journey surveying …

Fundamental Tradeoffs In Estimation Of Finite-State Hidden Markov Models, Justin Le

UNLV Theses, Dissertations, Professional Papers, and Capstones

Hidden Markov models (HMMs) constitute a broad and flexible class of statistical models that are widely used in studying processes that evolve over time and are only observable through the collection of noisy data. Two problems are essential to the use of HMMs: state estimation and parameter estimation. In state estimation, an algorithm estimates the sequence of states of the process that most likely generated a certain sequence of observations in the data. In parameter estimation, an algorithm computes the probability distributions that govern the time-evolution of states and the sampling of data. Although algorithms for the two problems are …

Physical And Social Systems Resilience Assessment And Optimization, Daniel Romero Rodriguez

USF Tampa Graduate Theses and Dissertations

Resilience has been measured using qualitative and quantitative metrics in engineering,economics, psychology, business, ecology, among others. This dissertation proposes a resilience metric that explicitly incorporates the intensity of the disruptive event to provide a more accurate estimation of system resilience. A comparative analysis between the proposed metric and average performance resilience metrics for linear and nonlinear loss and recovery functions suggests that the new metric enables a more objective assessment of resilience for disruptions with different intensities. Moreover, the proposed metric is independent of a control time parameter. This provides a more consistent resilience estimation for a given system and …

The Role Of Criticality Of Gene Regulatory Networks On Emergent Properties Of Biological Systems, Hyobin Kim

Graduate Dissertations and Theses

The relationship between criticality of gene regulatory networks (GRNs) and dynamics of GRNs at a single cell level has been vigorously studied. However, the relationship between the criticality of GRNs and properties of multicellular organisms at a higher level has not been fully explored. Here we aim at revealing potential roles of the criticality of GRNs at a multicellular and hierarchical level, using a random Boolean network as a GRN. We perform three studies. Firstly, we propose a GRN-based morphogenetic model, and delve into the role of the criticality of GRNs in morphogenesis at a multicellular level. Secondly, we include …

Dispensing Medical Countermeasures In Public Health Emergencies Via Home Health Agencies And Points Of Distribution, Anna Hudgeons

Industrial Engineering Undergraduate Honors Theses

A major concern regarding emergency preparedness on the state government level involves the handling and dispensing of the Strategic National Stockpile (SNS) of medicinal supplies. Each state is required to update and maintain a plan of action for dispensing SNS materials that would effectively provide care to the state’s population in times of distress. This research evaluates a state’s ability to dispense an adequate amount of medicine to her population in a timely manner, specifically after it has been received by the state government. Although simulation modeling has previously been utilized to replicate the dispensing process at pre-designated points of …

Understanding The Decision-Making Process Of Local Level Emergency Managers And Future Impacts Of Social Data, Justin Taylor

Industrial Engineering Undergraduate Honors Theses

During the course of a natural disaster, affected populations turn to different avenues to attempt to communicate their needs and locations while emergency managers are faced with the task of making quick decisions to aid in the response effort. The decisions that emergency managers face are affected by factors such as available resources, responder safety, and source of information. In this research, we interview emergency managers about the 2009 North American Ice Storm and a flooding event in late April of 2017 to understand the decisions made and the factors that affected these decisions. Using these interviews, a list of …

Modeling Commodity Flow As A Statistical Function Of Lock Unavailability And Usage, Grace Mcgee

Industrial Engineering Undergraduate Honors Theses

The inland waterway system in the United States allows for the transportation of commodities, and interruptions to the system can have remarkable economic consequences. This research estimates statistical models of commodity flow as a function of lock usage and lock unavailability to discover relationships between system disruption and economic penalties. Findings specifically complement a portfolio of research conducted by the Maritime Transportation Research & Education Center (MarTREC) for the United States Army Corps of Engineers (USACE) to aid in decision making and resource planning for lock maintenance.

Developing An Hpv Infection Risk Prediction Model For Adult Females, Rachel Holmer

Industrial Engineering Undergraduate Honors Theses

According to the Centers for Disease Control and Prevention (CDC), nearly one in four people are currently infected with human papillomavirus (HPV) in the United States. Although most people with HPV never experience symptoms, there is a risk of developing different types of HPV-related cancers after infection. These cancers and other related diseases result in almost $8 billion spent annually for treatment. Currently, all boys and girls ages 11 or 12 years are recommended to receive HPV vaccination. Catch-up vaccines are recommended for males and females through the age of 21 and 26, respectively, if they did not get vaccinated …

Sparse Representation And Learning For Discriminative Eeg Source Imaging, Feng Liu

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

As a direct measurement modality of neural electrical firing patterns, electroencephalogram (EEG) has a much higher temporal resolution up to millisecond compared to positron emission topography (PET) and functional magnetic resonance imaging (fMRI) and it has become one of the popular neuroimaging tools to find signatures of brain diseases and to understand how the brain works. Other advantages of EEG include low cost, easy portability, and non-invasive. However, a limitation of EEG is its low spatial resolution since the measurement is on the scalp rather than inside the brain. Given the recorded scalp EEG data, to reconstruct the activated brain …