Business Analytics Commons^™

Applying Lean Manufacturing Principles At Vip Cinema: Standardizing Hardware Assembly Workstations, Cameron Koch

Honors Theses

This paper will explore the benefits of standardization and consistency in a manufacturing setting by demonstrating the value of improved tooling and organization. “Lean Manufacturing” is the broad term used to describe key principles that can be applied to most businesses to reduce waste and increase efficiency. This ideology’s theme is to maximize customer value while minimizing waste. The purpose of its adoption is to transform managers and operators into experts of identifying the deficiencies in many manufacturing and assembly processes and implementing changes that can lead to enormous improvements in takt time, production output, and ultimately, profitability. At VIP …

Qlime-A Quadratic Local Interpretable Model-Agnostic Explanation Approach, Steven Bramhall, Hayley Horn, Michael Tieu, Nibhrat Lohia

SMU Data Science Review

In this paper, we introduce a proof of concept that addresses the assumption and limitation of linear local boundaries by Local Interpretable Model-Agnostic Explanations (LIME), a popular technique used to add interpretability and explainability to black box models. LIME is a versatile explainer capable of handling different types of data and models. At the local level, LIME creates a linear relationship for a given prediction through generated sample points to present feature importance. We redefine the linear relationships presented by LIME as quadratic relationships and expand its flexibility in non-linear cases and improve the accuracy of feature interpretations. We coin …

Under Pressure: Decision Making In Aircraft Maintenance And The Role Of Gender, Stephanie Douglas Ph.D., Bettina M. Mrusek Ph.D.

National Training Aircraft Symposium (NTAS)

In aircraft maintenance, leaders are under near-constant pressure to maintain airworthiness. Every minute an aircraft cannot fly due to maintenance represents financial waste. Decisions are therefore made in a relatively quick fashion. A leader evaluates the situation, identifies a course of action and then communicates this message to a team of technicians. However, gender influences regarding leaders’ decisions can influence team members’ perceptions of those decisions.

The study will measure decision making methods of leaders in aircraft maintenance and the perceptions of the technicians. It informs how gender influences decision making from both the leader and follower perspective. The expected …

An Investigation Into Subject Matter Expert Elicitation In Cost Risk Analysis, Christopher W. Miller

Theses and Dissertations

This research compares the efficacy of subject matter expert (SME) elicitation methods to other cost estimation methods using a development and production dataset provided by AFLCMC/FZC. First, by using descriptive statistics to evaluate low versus high amount of the respective cost estimation methods by analyzing the means of percent cost growth for both groups. Next, this research involved using a statistics-based approach to investigate whether SME based cost estimating methods have an associated relationship to percent change of Program Acquisition Unit Costs (PAUC), which will be our proxy variable to cost growth. Using a pooled cross-sectional OLS regression analysis model …

Efficiency Analysis Of A Congested Brazilian Airport Applying Slots Optimization Control: Congonhas Airport Case, Mariana Franco B. Mendes, Rafael Roco De Araujo, Ana Paula Beck Da Silva Etges, Massoud Bazargan

International Journal of Aviation, Aeronautics, and Aerospace

The current slot allocation mechanism in Brazil, based on the International Air Transport Association (IATA) rules, and its supplementary local regulation The National Civil Aviation Agency (ANAC), displays a few issues and limitations (e.g. slot misuse, allocation inefficiencies). Such issues are particularly present in the case of busy airports that works near their maximum capacity for major parts of the day. This inefficiency problem is generated because of the complexity of slot allocation added to the limited decision support available for the Brazilian system. This study focuses on the implementation of an optimal slot model, based on IATA regulations with …

Household’S Willingness (Wtp) To Pay To The Utility, Rakhshinda Bano, Mehdi Khiadani, Steven Burian

Research Datasets

The dataset contains the water use at household level, payments to the utility and household income.

The Potential For Using Loyalty Rewards And Incentives Programs To Encourage Transit Ridership And Regional Transportation And Land Use Integration, Christopher E. Ferrell

Mineta Transportation Institute

Transit smart cards can be used as a tool for increasing transit ridership, increasing retail sales in transit-oriented developments (TODs) and eventually, increasing opportunities for retail development in TODs. Instead of providing separate loyalty rewards for each store, or chain of stores, such cards would provide loyalty rewards—in several possible forms, including free transit ride credits, cash rewards, retail purchase discounts, sweepstakes rewards—to all transit riders who patronize TOD retail businesses. Additional rewards could also be given to transit riders who live, work, and shop in TODs, and even to riders who take transit for specific shopping trips in TODs. …

Automation Of Data Analysis In Formula 1, Adam Joseph Mourad, Prescott Jeanne Delzell, Patrick Conner Mccabe

Industrial and Manufacturing Engineering

This paper explores economic solutions for Formula 1 racing companies who are interested in data visualization tools. The research was conducted on the current development of data gathering, data visualization, and data interpretation in Formula 1 racing. It was found that a large chunk of racing companies within the league needs an affordable, effective, and automated visualization tool for data interpretation. As data collection in Formula 1 arises, the need for faster and more powerful software increases. Racing companies profit off-brand exposure and the more a racing team wins, the more exposure they receive. The goal of the paper focuses …

Feasibility Of Collaborative Alliance Association For Non-Competitive Small Business Contractors, Brody Allen Gill

Construction Management

Small business construction contracting firms around the country struggle with growing their business successfully. This is a result of unknown results from new business practices and few resources to initiate programs that can improve productivity and efficiency. A simple solution could give small business construction contractors the opportunity to share ideas, compare company analytics and promote professional networking in a non-competitive, collaborative alliance. The goal of this project is to determine if a collaborative alliance association using data benchmarking would be an effective solution for non-competitive small business contractors to grow their businesses. Thereafter being proven effective, is such an …

Generalized Relay Network Design And Collaborative Dispatching In Truckload Transportation, Amin Ziaeifar

Operations Research and Engineering Management Theses and Dissertations

The truckload industry faces a serious problem of high driver shortage and turnover rate which is typically around 100\%. Among the major causes of this problem are extended on-the-road times where drivers handle several truckload pickup and deliveries successively; non-regular schedules and get-home rates; and low utilization of drivers dedicated time. These are by-and-large consequences of the driver-to-load dispatching method, which is based on point-to-point dispatching or direct shipment from origin-to-destination, commonly employed in the industry. In this dissertation, we consider an alternative dispatching method that necessitates careful design of an underlying network. In this scheme, a truckload on its …

Big-Data Talent Analytics In The Public Sector: A Promotion And Firing Model Of Employees At Federal Agencies, Rabih Neouchi

Operations Research and Engineering Management Theses and Dissertations

Talent analytics is a relatively new area of focus to researchers working in analytics and data science. Talent Analytics has the potential to help companies make many informed critical decisions around talent acquisition, promotion and retention. This work investigates data science to predict “shiny star” employees in the U.S. public sector, defined as top-notch performers over the years of a given time span. Its scope falls within talent analytics, also called people analytics, a relatively new research area.

We clean a data set made available by the U.S. Office of Personnel Management (OPM) and present two models to predict the …

Longitudinal Analysis Of Perceived And Objective Airline Performance Quality, Kaetlyn Blocker, Javad Gorjidooz

Student Works

Commercial air carrier performance is a multivariable function, uniquely and substantially impacted by passenger's perception of negative employee behavior. High industry visibility, coupled with exponential social media growth, has provided the incredible potential to either widen or narrow the perception-performance gap. The present research conducts a rare longitudinal evaluation of objective airline performance quality in contrast with consumer perceptions of perceived airline performance and the dynamic changes occurring therein. Additionally, the implications regarding air carriers facing both objective and perceived performance challenges, as well as implications for the industry as a whole, are discussed. Utilizing nearly 30 years of objective …

Machine Learning With Multi-Class Regression And Neural Networks: Analysis And Visualization Of Crime Data In Seattle, Erkin David George

Honors Projects

This article examines the implications of machine learning algorithms and models, and the significance of their construction when investigating criminal data. It uses machine learning models and tools to store, clean and analyze data that is fed into a machine learning model. This model is then compared to another model to test for accuracy, biases and patterns that are detected in between the experiments. The data was collected from data.seattle.gov and was published by the City of Seattle Data Portal and was accessed on September 17, 2018. This research will be looking into how machine learning models can be used …

Cost-Benefit Analysis Of Studying Spanish And Construction In Tandem, Daniel Joseph Eide

Construction Management

Does Spanish bilingualism have measurable fiscal value in the U.S. construction industry? Studying and becoming proficient in Spanish is feasible, affordable, and can be accomplished at Cal Poly in conjunction with a Construction Management major. In a dynamic industry that values versatile employees, where communication is key to success, the capability of speaking Spanish is a substantial value-add in the workforce. Using qualitative and quantitative data analysis, it is concluded that individuals who possess English and Spanish-speaking abilities in the U.S. construction industry can expect a 3 percent wage premium when compared to English-only speakers. This study weighs the costs …

A Strategic Audit Of Nintendo Co., Ltd., Emily Wagner

Honors Program: Senior Projects (Public)

The astounding success of the Nintendo Switch since its launch in March 2017 has brought Nintendo back into the spotlight of the gaming industry. However, what strategies led to the Switch’s success, enabling Nintendo to come back from the complete and utter failure of the Wii U? Also, what does Nintendo need to do to maintain its success over the lifetime of the Switch and beyond? This paper offers a strategic analysis of Nintendo, examining the company’s history, recent products, competitive advantages, and reasons for the success of the Switch. It also provides an analysis of Nintendo’s internal and external …

Quality Of Life Research For Cal Poly Construction Management Graduates In The Bay Area And Los Angeles County, Trevor Colbert

Construction Management

Construction Management Graduates from Cal Poly San Luis Obispo graduate at an impeccable 97.5% per year. On average over 78% of graduates relocate to the Bay Area or Los Angeles County, but how are graduates basing their decision on where to relocate? Sociology professor, Mark Schneider, developed an accurate way to measure the satisfaction of residents within a given city. Through subjective and objective social indicators, Schneider is able to gauge total life satisfaction. Analyzing data from interviews with recent graduates, economic data from local, state and federal governments, and personal knowledge from living in each area – an immense …

Improving Vix Futures Forecasts Using Machine Learning Methods, James Hosker, Slobodan Djurdjevic, Hieu Nguyen, Robert Slater

SMU Data Science Review

The problem of forecasting market volatility is a difficult task for most fund managers. Volatility forecasts are used for risk management, alpha (risk) trading, and the reduction of trading friction. Improving the forecasts of future market volatility assists fund managers in adding or reducing risk in their portfolios as well as in increasing hedges to protect their portfolios in anticipation of a market sell-off event. Our analysis compares three existing financial models that forecast future market volatility using the Chicago Board Options Exchange Volatility Index (VIX) to six machine/deep learning supervised regression methods. This analysis determines which models provide best …

Global Aviation System: Towards Sustainable Development, Marina P. Bonser Dr.

International Journal of Aviation, Aeronautics, and Aerospace

Aviation around the world has integrated into a global system. As the integration process continues, more aspects and levels of it need to be lead towards the sustainable development of the whole system via advancing strategic management, global communication proficiency, and technological expertise. It becomes essential to enrich global language (English) proficiency with cross-cultural communication competence not only for communication in the air but also for airport security, passenger and cargo services, aircraft and equipage engineering, building, and maintenance. Nowadays lower levels of management need more advanced strategic thinking and problem solving skills, and higher levels of management need global …

Exploring Critical Success Factors For Data Integration And Decision-Making In Law Enforcement, Marquay Edmondson, Walter R. Mccollum, Mary-Margaret Chantre, Gregory Campbell

International Journal of Applied Management and Technology

Agencies from various disciplines supporting law enforcement functions and processes have integrated, shared, and communicated data through ad hoc methods to address crime, terrorism, and many other threats in the United States. Data integration in law enforcement plays a critical role in the technical, business, and intelligence processes created by users to combine data from various sources and domains to transform them into valuable information. The purpose of this qualitative phenomenological study was to explore the current conditions of data integration frameworks through user and system interactions among law enforcement organizational processes. Further exploration of critical success factors used to …

Decarbonising The Automotive Industry: The Future For Irish Motorists., Robert Maher

Theses

This research study is an examination of the current state of the Irish automotive industry, which is being reshaped by the imminent shift to electric vehicles. This transition is designed to assist in solving Ireland's air quality and environmental challenges in line with the worldwide move to combat climate change. The research topic of the decarbonisation of the automotive industry determined the research question: "Decarbonising the Automotive Industry: The Future for Irish Motorists". This inquiry focuses on private cars owned for social, pleasure and domestic use. Secondary research was completed to verify the most prevalent and current existing information. A …

Open Source Foundations For Spatial Decision Support Systems, Jochen Albrecht

Publications and Research

Spatial Decision Support Systems (SDSS) were a hot topic in the 1990s, when researchers tried to imbue GIS with additional decision support features. Successful practical developments such as HAZUS or CommunityViz have since been built, based on commercial desktop software and without much heed for theory other than what underlies their process models. Others, like UrbanSim, have been completely overhauled twice but without much external scrutiny. Both the practical and the theoretical foundations of decision support systems have developed considerably over the past 20 years. This article presents an overview of these developments and then looks at what corresponding tools …

Cost Performance Index Stability: Insights From Environmental Remediation Projects, Denis S. Clayson, Edward D. White, Alfred E. Thal Jr.

Faculty Publications

The purpose of this study was to investigate the stability of the cost performance index (CPI) for environmental remediation projects as the topic is not addressed in the literature. CPI is defined as the earned value of work performed divided by the actual cost of the work, and CPI stability represents the point in time in a project after which the CPI varies by less than 20 percent (measured in different ways).

Financial Evaluation For A Brazilian Airline To Conduct Aeronautical Components Repair In Brazil, Ana Moreno Sandoval, Enzo Canavesi Luizetto, Joao Paulo Panssiera, Klaus Goulart Brum

Graduate Student Works

The current economic world volatility, as well as the increasing cost of fuel and security procedures established by the worldwide authorities, force the air carriers to search for alternatives to reduce their operational costs. The maintenance costs are a significant subject for the air carriers, therefore, any cost reduction obtained without maintenance service disruption, may provide an opportunity to enhance the airline competitiveness (Fritzsche, 2014).

The purpose of this research is to evaluate and compare the technical and financial aspects of performing aircraft components repair in house for a Brazilian airline versus outsourcing the servicing to a homologated company outside …

Yelp’S Review Filtering Algorithm, Yao Yao, Ivelin Angelov, Jack Rasmus-Vorrath, Mooyoung Lee, Daniel W. Engels

SMU Data Science Review

In this paper, we present an analysis of features influencing Yelp's proprietary review filtering algorithm. Classifying or misclassifying reviews as recommended or non-recommended affects average ratings, consumer decisions, and ultimately, business revenue. Our analysis involves systematically sampling and scraping Yelp restaurant reviews. Features are extracted from review metadata and engineered from metrics and scores generated using text classifiers and sentiment analysis. The coefficients of a multivariate logistic regression model were interpreted as quantifications of the relative importance of features in classifying reviews as recommended or non-recommended. The model classified review recommendations with an accuracy of 78%. We found that reviews …

An Optimal Airline Revenue Management Seat Pricing Plan Model, Constantine M. Koursaris, James W. Marion Jr.

International Journal of Aviation, Aeronautics, and Aerospace

The goal of an airline is to sell tickets at the highest fare possible, thus yielding maximum profit for the stakeholders. As airline seat pricing is divided into different fare classes, a revenue management system is created and maintained to identify opportunity costs where the airline may sell an optimum number of available seats in both discounted fare and full fare classes. Ideally, under perfect conditions, the airline will sell all available seats at full capacity for each leg of a trip. Under non-ideal conditions for the airline, not all available seats may sell at either full fare or discounted …

Analyzing Operating And Support Costs For Air Force Aircraft, Scott C. Hewitson, Jonathan D. Ritschel, Edward D. White, Gregory Brown

Faculty Publications

Purpose: Recent legislation resulted in an elevation of operating and support (O&S) costs’ relative importance for decision-making in Department of Defense programs. However, a lack of research in O&S hinders a cost analyst’s abilities to provide accurate sustainment estimates. Thus, the purpose of this paper is to investigate when Air Force aircraft O&S costs stabilize and to what degree. Next, a parametric O&S model is developed to predict median O&S costs for use as a new tool for cost analyst practitioners.
Design/Methodology/Approach: Utilizing the Air Force total ownership cost database, 44 programs consisting of 765 observations from 1996 to 2016 …

Radical Social Ecology As Deep Pragmatism: A Call To The Abolition Of Systemic Dissonance And The Minimization Of Entropic Chaos, Arielle Brender

Student Theses 2015-Present

This paper aims to shed light on the dissonance caused by the superimposition of Dominant Human Systems on Natural Systems. I highlight the synthetic nature of Dominant Human Systems as egoic and linguistic phenomenon manufactured by a mere portion of the human population, which renders them inherently oppressive unto peoples and landscapes whose wisdom were barred from the design process. In pursuing a radical pragmatic approach to mending the simultaneous oppression and destruction of the human being and the earth, I highlight the necessity of minimizing entropic chaos caused by excess energy expenditure, an essential feature of systems that aim …

Airline Customer Satisfaction 2015-2017 Results, Michelle M. Bennett, Brent D. Bowen, Erin E. Bowen, Z. Bowen, Dean Headley, Timothy B. Holt, Jacqueline R. Luedtke

Publications

Previous research on perceptions, satisfaction, and attitudes regarding the major commercial air carriers in the United States has provided little more than an interesting descriptive representation of the average air traveler. This study moves beyond basic descriptive information of air travelers to identify attitudinal patterns and relationships in the way consumers at varying levels of travel frequency view the commercial air industry. The Airline Passenger Survey (APS) elements developed via the utilization of rigorous scientific methodology, with the intention of capturing the most important data from passengers while reducing confusion or variability in comprehension of questions. APS items are a …

A Longitudinal Analysis On The Cyclical Pattern Of The Us Airline Industry, Michelle Bennett

Discovery Day - Prescott

The Airline Quality Rating (AQR) is the nation’s most comprehensive study of airline performance and quality for over two decades. The AQR sets the industry standard, providing consumers and industry watchers a way to compare performance quality among different US airlines using objective performance-based data (Bowen and Headley, 2014). The quantitative weighted average is computed monthly for every airline and divided by the sum of the weight to create the index. Criteria weighted in this formula include baggage handling, customer complaints, denied boarding and on time arrivals. This research employs the application of a longitudinal analysis methodology resulting in finding …

Driving The Future: Mobility In The 21st Century, Ted Hamer

Purdue Road School

As part of its future-focused infrastructure planning, INDOT is embarking on a project with Purdue University to understand how the development of transportation infrastructure can be linked to benefits to business supply chains, thus enabling decisions to nurture an ecosystem around connected and autonomous vehicles (CAVs). KPMG will provide insight into the CAV industry.