Time studies are an effective tool to analyze current production systems and propose improvements. The problem that motivated the project was that conducting time studies and observing the progression of components across the factory floor is a manual process. Four Industrial Engineering students worked with a manufacturing company to develop Computer Vision technology that would automate the data collection process for time studies. The team worked in an Agile environment to complete over 120 classification sets, create 8 strategy documents, and utilize Root Cause Analysis techniques to audit and validate the performance of the trained Computer Vision data models. In the future, there is an opportunity to continue developing this product and expand the team’s work scope to apply more engineering skills on the data collected to drive factory improvements.

The thesis, titled Identifying Emerging Technologies and Techniques to Assess Indoor Environmental Quality and its Impact on Occupant Health, consists of an in-depth literature review outlining the various impacts of building factors on inhabitant health. Approximately 120 studies analyzing how environmental factors influence occupant health were reviewed and 25 were used to build this literature review. The thesis provides insight into the definitions of well-being, health, and the built environment and analyzes the relationship between the three. This complex relationship has been at the forefront of academic research in recent years, especially given the impact of the COVID-19 pandemic. Essentially, an individual’s health and well-being is encompassed by their physical, mental, and social state of being. Due to the increasing amount of time spent in indoor environments the built environment influences these measures of health and well-being through various environmental factors (Indoor Air Quality, humidity, temperature, lighting, acoustics, ergonomics) defining the overall Indoor Environmental Quality. This thesis reviewed the mentioned intervention and experimental studies conducted to determine how fluctuations in environmental factors influence reported health results of occupants in the short and long term. Questionnaires, interviews, medical tests, physical measurements, and sensors were used to track occupant health measures. Sensors are also used to record environmental factor levels and are now beginning to be incorporated into the building production process to promote occupant health in healthy and smart buildings. The goal is ultimately to develop these smart and healthy buildings using study results and advancing technologies and techniques as outlined in the thesis.

Perfection is extremely difficult to achieve when playing team sports. This is especially true for lacrosse, a sport where dropped passes, missed shots and turnovers are prevalent even at the college and professional levels of the game. In order to improve on mistakes, teams must first recognize where the errors are being made. The purpose of this project is to implement the DMAIC process improvement method into lacrosse, with the goal of identifying and implementing improvements, leading to a more successful team.
In order to use DMAIC, lacrosse was expressed as a process that included five phases: offense, defense, riding, clearing and faceoffs. Data was gathered for each phase using game film from the Arizona State Men’s Club Lacrosse Team over the course of the 2019 and 2020 seasons. The data was then analyzed by comparing the output statistics of each phase to the goal differential, number of goals scored, and number of goals against. Once the areas of improvement were determined, additional analysis was done to determine why these certain areas needed improvement. The results provided what changes needed to be made in order to improve the team. In order to ensure the team sustained their success, control measures were put in place to determine what action needs to be taken and when.

Time studies are an effective tool to analyze current production systems and propose improvements. The problem that motivated the project was that conducting time studies and observing the progression of components across the factory floor is a manual process. Four Industrial Engineering students worked with a manufacturing company to develop Computer Vision technology that would automate the data collection process for time studies. The team worked in an Agile environment to complete over 120 classification sets, create 8 strategy documents, and utilize Root Cause Analysis techniques to audit and validate the performance of the trained Computer Vision data models. In the future, there is an opportunity to continue developing this product and expand the team’s work scope to apply more engineering skills on the data collected to drive factory improvements.

Time studies are an effective tool to analyze current production systems and propose improvements. The problem that motivated the project was that conducting time studies and observing the progression of components across the factory floor is a manual process. Four Industrial Engineering students worked with a manufacturing company to develop Computer Vision technology that would automate the data collection process for time studies. The team worked in an Agile environment to complete over 120 classification sets, create 8 strategy documents, and utilize Root Cause Analysis techniques to audit and validate the performance of the trained Computer Vision data models. In the future, there is an opportunity to continue developing this product and expand the team’s work scope to apply more engineering skills on the data collected to drive factory improvements.

Our thesis is a cross collaboration between international relations and industrial engineering. We used a combination of database logic, programming, and Microsoft Visual Studio to organize and analyze Middle Eastern politics. Not only does the final product show raw data entry, but it also can answer complex questions about Middle Eastern relations- queries so complex that Google can’t answer them. We organized and analyzed geopolitical data to make it more accessible and easy, hopefully you enjoy!

Arizona State course enrollment regularly reaches triple digits. Despite the large enrollment numbers, the level of communication among students remain relatively low. Students often create Discord servers to keep in touch with classmates, but this requires each individual student to track down the invite link. The purpose of this project is to create an inviting chat service for students with minimal barriers of entry. This website, https://gibbl.io, offers a chat room for every class at ASU, making it simple for students to maintain communication.

Time studies are an effective tool to analyze current production systems and propose improvements. The problem that motivated the project was that conducting time studies and observing the progression of components across the factory floor is a manual process. Four Industrial Engineering students worked with a manufacturing company to develop Computer Vision technology that would automate the data collection process for time studies. The team worked in an Agile environment to complete over 120 classification sets, create 8 strategy documents, and utilize Root Cause Analysis techniques to audit and validate the performance of the trained Computer Vision data models. In the future, there is an opportunity to continue developing this product and expand the team’s work scope to apply more engineering skills on the data collected to drive factory improvements.

The product our team is commercializing is a NASA designed technology designed to store waste in space. This product works on Earth as well and has applicable multi-use capabilities. Throughout the last several months, the team has identified different markets to determine which of them would experience the most value from this product. The team conducted 25 interviews to grasp the landscape of the different markets related to this product. After a thorough analysis, it was found that vendors who support the disposal of different types of waste and sludge would be the best fit for this product. Vendors like Waste Management, Sharps, Stericycle, Sludge USA, etc.,” have large contracts with hospitals, biotech firms, labs, and cities to manage a wide spectrum of waste. The companies bring value to their clients by making a difficult process easier. However, the process is not seamless and, with certain types of waste, there are significant costs associated with not following an exact process. Throughout this process and interviews with companies like Sludge USA and Waste Management, the team identified a niche market in supporting sludge processes. Caked: Sludge Management is designed to bring value to this market by making their waste disposal process seamless, and saving these institutions significant costs in the long run, while creating additional value.

The academic environment has historically been somewhat slow to implement and adopt new technologies. However, developments in video games have created an opportunity for students to learn new skills and topics through nontraditional mediums of education. The disruption caused by the COVID-19 pandemic further highlighted the need for flexible learning opportunities. Joystick Education is our approach to addressing this need. Through online, game-based tutoring and a database of video games with high educational value, Joystick Education creates a learning environment that is effective, fun, and engaging for students. We analyzed popular, mainstream video games for educational content and selected nine games that teach concepts like history, biology, or physics while playing the game. Through promotion on social media, we generated buzz around our website which led to 103 unique visitors over our first month online and two customers requesting to book our tutoring service. We are confident that given more time to grow, Joystick Education can generate profit and become a successful business.