Matching Items (50)

136655-Thumbnail Image.png

Applying Industrial Engineering to Optimize Swim Stroke Economy

Description

The U.S. Navy and other amphibious military organizations utilize a derivation of the traditional side stroke called the Combat Side Stroke, or CSS, and tout it as the most efficient

The U.S. Navy and other amphibious military organizations utilize a derivation of the traditional side stroke called the Combat Side Stroke, or CSS, and tout it as the most efficient technique available. Citing its low aerobic requirements and slow yet powerful movements as superior to the traditionally-best front crawl (freestyle), the CSS is the go-to stroke for any operation in the water. The purpose of this thesis is to apply principles of Industrial Engineering to a real-world situation not typically approached from a perspective of optimization. I will analyze pre-existing data about various swim strokes in order to compare them in terms of efficiency for different variables. These variables include calories burned, speed, and strokes per unit distance, as well as their interactions. Calories will be measured by heart rate monitors, converting BPM to calories burned. Speed will be measured by stopwatch and observer. Strokes per unit distance will be measured by observer. The strokes to be analyzed include the breast stroke, crawl stroke, butterfly, and combat side stroke. The goal is to informally test the U.S. Navy's claim that the combat side stroke is the optimum stroke to conserve energy while covering distance. Because of limitations in the scope of the project, analysis will be done using data collected from literary sources rather than through experimentation. This thesis will include a design of experiment to test the findings here in practical study. The main method of analysis will be linear programming, followed by hypothesis testing, culminating in a design of experiment for future progress on this topic.

Contributors

Agent

Created

Date Created
  • 2014-12

137790-Thumbnail Image.png

Intercultural Negotiation and Risk Mitigation

Description

In an increasingly global economy, companies face challenges with implementing successful business and marketing strategies in cultures different from their own. This paper calls upon previous research to compile a

In an increasingly global economy, companies face challenges with implementing successful business and marketing strategies in cultures different from their own. This paper calls upon previous research to compile a per-country outline of general behaviors and expectations when doing business overseas. Using categorical definitions from Hofstede's 1984 study and those found in the Handbook of Global and Multicultural Negotiation, a table has been prepared to group similar countries based on their cultural biases.

Contributors

Agent

Created

Date Created
  • 2013-05

134361-Thumbnail Image.png

Statistical Analysis of Power Differences between Experimental Design Software Packages

Description

Based on findings of previous studies, there was speculation that two well-known experimental design software packages, JMP and Design Expert, produced varying power outputs given the same design and user

Based on findings of previous studies, there was speculation that two well-known experimental design software packages, JMP and Design Expert, produced varying power outputs given the same design and user inputs. For context and scope, another popular experimental design software package, Minitab® Statistical Software version 17, was added to the comparison. The study compared multiple test cases run on the three software packages with a focus on 2k and 3K factorial design and adjusting the standard deviation effect size, number of categorical factors, levels, number of factors, and replicates. All six cases were run on all three programs and were attempted to be run at one, two, and three replicates each. There was an issue at the one replicate stage, however—Minitab does not allow for only one replicate full factorial designs and Design Expert will not provide power outputs for only one replicate unless there are three or more factors. From the analysis of these results, it was concluded that the differences between JMP 13 and Design Expert 10 were well within the margin of error and likely caused by rounding. The differences between JMP 13, Design Expert 10, and Minitab 17 on the other hand indicated a fundamental difference in the way Minitab addressed power calculation compared to the latest versions of JMP and Design Expert. This was found to be likely a cause of Minitab’s dummy variable coding as its default instead of the orthogonal coding default of the other two. Although dummy variable and orthogonal coding for factorial designs do not show a difference in results, the methods affect the overall power calculations. All three programs can be adjusted to use either method of coding, but the exact instructions for how are difficult to find and thus a follow-up guide on changing the coding for factorial variables would improve this issue.

Contributors

Agent

Created

Date Created
  • 2017-05

135916-Thumbnail Image.png

Zero Waste Management

Description

Zero Waste Management at Arizona State University is an initiative that aims to divert 90% of the waste that goes into the landfills. In order to do this, it is

Zero Waste Management at Arizona State University is an initiative that aims to divert 90% of the waste that goes into the landfills. In order to do this, it is important to focus on the biggest generator of waste every year, which is "Food and Catering". One of the biggest challenges facing the food and catering industry is the lack of efficient and standard processes which results in immense waste every year. As a result, this thesis takes a Lean Six Sigma approach into ASU's zero waste event processes and identifies possible gaps that could be improved. It uses the DMAIC methodology to dive into a standard process for requesting and handling a zero waste event at ASU and concentrates on the logistics behind those zero waste events.

Contributors

Agent

Created

Date Created
  • 2015-12

Optimization of Incoming Inspection

Description

The first step in process improvement is to scope the problem, next is measure the current process, but if data is not readily available and cannot be manually collected, then

The first step in process improvement is to scope the problem, next is measure the current process, but if data is not readily available and cannot be manually collected, then a measurement system must be implemented. General Dynamics Mission Systems (GDMS) is a lean company that is always seeking to improve. One of their current bottlenecks is the incoming inspection department. This department is responsible for finding defects on parts purchased and is critical to the high reliability product produced by GDMS. To stay competitive and hold their market share, a decision was made to optimize incoming inspection. This proved difficult because no data is being collected. Early steps in many process improvement methodologies, such as Define, Measure, Analyze, Improve and Control (DMAIC), include data collection; however, no measurement system was in place, resulting in no available data for improvement. The solution to this problem was to design and implement a Management Information System (MIS) that will track a variety of data. This will provide the company with data that will be used for analysis and improvement. The first stage of the MIS was developed in Microsoft Excel with Visual Basic for Applications because of the low cost and overall effectiveness of the software. Excel allows update to be made quickly, and allows GDMS to collect data immediately. Stage two would be moving the MIS to a more practicable software, such as Access or MySQL. This thesis is only focuses on stage one of the MIS, and GDMS will proceed with stage two.

Contributors

Agent

Created

Date Created
  • 2017-05

132984-Thumbnail Image.png

Forecasting the 85281 Residential Rental Property

Description

The listing price of residential rental real estate is dependent upon property specific attributes. These attributes involve data that can be tabulated as categorical and continuous predictors. The forecasting model

The listing price of residential rental real estate is dependent upon property specific attributes. These attributes involve data that can be tabulated as categorical and continuous predictors. The forecasting model presented in this paper is developed using publicly available, property specific information sourced from the Zillow and Trulia online real estate databases. The following fifteen predictors were tracked for forty-eight rental listings in the 85281 area code: housing type, square footage, number of baths, number of bedrooms, distance to Arizona State University’s Tempe Campus, crime level of the neighborhood, median age range of the neighborhood population, percentage of the neighborhood population that is married, median year of construction of the neighborhood, percentage of the population commuting longer than thirty minutes, percentage of neighborhood homes occupied by renters, percentage of the population commuting by transit, and the number of restaurants, grocery stores, and nightlife within a one mile radius of the property. Through regression analysis, the significant predictors of the listing price of a rental property in the 85281 area code were discerned. These predictors were used to form a forecasting model. This forecasting model explains 75.5% of the variation in listing prices of residential rental real estate in the 85281 area code.

Contributors

Agent

Created

Date Created
  • 2019-05

133019-Thumbnail Image.png

Habit Tracking: Is It Making You "Healthier?"

Description

This study aims to explore the prevalence of smartphone, smartwatch, and fitness tracker ownership among college students, and compare the popularity of each device in tracking health-related habits such as

This study aims to explore the prevalence of smartphone, smartwatch, and fitness tracker ownership among college students, and compare the popularity of each device in tracking health-related habits such as physical activity, eating, and sleep. In addition, this study aims to analyze the effectiveness of each device for achieving personal health goals in all three categories. Research for this study was conducted using an Institutional Review Board (IRB) approved survey that was distributed electronically to various Greek and student organizations around Arizona State University campuses. In total, 183 responses were considered, with participants ranging from ages 18 to 23. Participants were required to own or possess a smartphone to be eligible to complete the survey. After seven days of data collection, the results were then analyzed using Qualtrics. The results revealed that smartwatch and fitness tracker ownership is not prevalent within the Arizona State University demographic. In addition, after comparing device popularity across each habit-tracking category, it is apparent that the smartphone is the most used device for tracking. Finally, when looking at device effectiveness in relation to achieving health goals, smartwatches consistently scored higher than smartphones. Supplemental research should be conducted to further explore the prevalence and effectiveness of habit tracking. This research should include a larger sample size and a more evenly spread gender demographic.

Contributors

Agent

Created

Date Created
  • 2019-05

133125-Thumbnail Image.png

Elements of Cost Overruns, Delays, and Risks Involved in Project Management as Applied to Walt Disney Parks & Resorts Construction Projects

Description

Project management is the crucial component for managing and mitigating the inherent risks associated with changes in technology and innovation. The procedures to track the schedule, budget, and scope of

Project management is the crucial component for managing and mitigating the inherent risks associated with changes in technology and innovation. The procedures to track the schedule, budget, and scope of various projects in the standard worlds of engineering, manufacturing, construction, etc., are essential elements to the success of the project. Cost overruns, schedule changes, and other natural risks must be managed effectively. But what happens when a project manager is tasked with delivering an attraction that needs to withstand harsh weather conditions, and millions of people enjoying it every year, for a company with arguably the highest standards for quality and guest satisfaction? This would describe the project managers at Walt Disney Imagineering (WDI) and the projects they oversee have tight budgets, aggressive schedules and require a bit more pixie dust than other engineering projects. However, the universal truth is that no matter the size or the scope of the endeavor, project management processes are absolutely essential to ensuring that every team member can effectively collaborate to deliver the best product.

Contributors

Agent

Created

Date Created
  • 2018-12

133192-Thumbnail Image.png

Disability Access and Resource Transportation Scheduler

Description

At Arizona State University, the Disability Resource Center provides disabled students transportation around campus. This transportation service known as DART is composed of approximately 20 student workers and 9 carts

At Arizona State University, the Disability Resource Center provides disabled students transportation around campus. This transportation service known as DART is composed of approximately 20 student workers and 9 carts that pick riders up based on pre-determined pick-up times and locations. With the current system, the scheduling of drivers to riders is inefficient, and in response, a tool was developed to schedule the rides in a faster manner. A demonstration of the new tool resulted in a time reduction of 98%.

Contributors

Created

Date Created
  • 2018-12

132730-Thumbnail Image.png

The Use of Simulation in a Foundry Setting

Description

Woodland/Alloy Casting, Inc. is an aluminum foundry known for providing high-quality molds to their customers in industries such as aviation, electrical, defense, and nuclear power. However, as the company has

Woodland/Alloy Casting, Inc. is an aluminum foundry known for providing high-quality molds to their customers in industries such as aviation, electrical, defense, and nuclear power. However, as the company has grown larger during the past three years, they have begun to struggle with the on-time delivery of their orders. Woodland prides itself on their high-grade process that includes core processing, the molding process, cleaning process, and heat-treat process. To create each mold, it has to flow through each part of the system flawlessly. Throughout this process, significant bottlenecks occur that limit the number of molds leaving the system. To combat this issue, this project uses a simulation of the foundry to test how best to schedule their work to optimize the use of their resources. Simulation can be an effective tool when testing for improvements in systems where making changes to the physical system is too expensive. ARENA is a simulation tool that allows for manipulation of resources and process while also allowing both random and selected schedules to be run through the foundry’s production process. By using an ARENA simulation to test different scheduling techniques, the risk of missing production runs is minimized during the experimental period so that many different options can be tested to see how they will affect the production line. In this project, several feasible scheduling techniques are compared in simulation to determine which schedules allow for the highest number of molds to be completed.

Contributors

Created

Date Created
  • 2019-05