Matching Items (13)
Filtering by

Clear all filters

148263-Thumbnail Image.png
Description

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 develo

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.

Contributorsde Guzman, Lorenzo (Co-author) / Chmelnik, Nathan (Co-author) / Martz, Emma (Co-author) / Johnson, Katelyn (Co-author) / Ju, Feng (Thesis director) / Courter, Brandon (Committee member) / Industrial, Systems & Operations Engineering Prgm (Contributor, Contributor) / School of Politics and Global Studies (Contributor) / Industrial, Systems & Operations Engineering Prgm (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
148215-Thumbnail Image.png
Description

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 develo

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.

ContributorsJohnson, Katelyn Rose (Co-author) / Martz, Emma (Co-author) / Chmelnik, Nathan (Co-author) / de Guzman, Lorenzo (Co-author) / Ju, Feng (Thesis director) / Courter, Brandon (Committee member) / Industrial, Systems & Operations Engineering Prgm (Contributor, Contributor) / Industrial, Systems & Operations Engineering Prgm (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
148216-Thumbnail Image.png
Description

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 develo

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.

ContributorsChmelnik, Nathan (Co-author) / de Guzman, Lorenzo (Co-author) / Johnson, Katelyn (Co-author) / Martz, Emma (Co-author) / Ju, Feng (Thesis director) / Courter, Brandon (Committee member) / Industrial, Systems & Operations Engineering Prgm (Contributor, Contributor) / Industrial, Systems & Operations Engineering Prgm (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
147540-Thumbnail Image.png
Description

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 develo

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.

ContributorsMartz, Emma Marie (Co-author) / de Guzman, Lorenzo (Co-author) / Johnson, Katelyn (Co-author) / Chmelnik, Nathan (Co-author) / Ju, Feng (Thesis director) / Courter, Brandon (Committee member) / Industrial, Systems & Operations Engineering Prgm (Contributor, Contributor) / Industrial, Systems & Operations Engineering Prgm (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description

Our project is to create a simplified, portable, modular electrocardiogram known as ECG/EKG. Most medical facilities, including hospitals, clinics, and skilled nursing facilities, still rely on traditional 12-lead EKG equipment consisting of a large cart with long 10 wires. These wires can be a pain to constantly detangle and rearrange

Our project is to create a simplified, portable, modular electrocardiogram known as ECG/EKG. Most medical facilities, including hospitals, clinics, and skilled nursing facilities, still rely on traditional 12-lead EKG equipment consisting of a large cart with long 10 wires. These wires can be a pain to constantly detangle and rearrange to determine a person’s heart conditions. This creates issues in fast paced scenarios such as when a patient is experiencing a heart attack and needs an EKG stat. Additionally, the current technology can be somewhat unreliable at determining heart conditions, causing providers to request multiple EKG’s for patients. With our improved versatile EKG, we can help solve these issues and implement additional outpatient use with its portable features. This can be done by remotely monitoring heart conditions during activities such as exercise, sleep, or stressful events, without worrying about wire disturbance.

ContributorsLam, Jadon (Author) / Mullins, Hunter (Co-author) / Huang, Hai (Co-author) / Taut, Sarah (Co-author) / Lee, Youngju (Co-author) / Goode, Zachary (Co-author) / Byrne, Jared (Thesis director) / Swader, Melissa (Committee member) / McElfish, Alex (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / Human Systems Engineering (Contributor)
Created2023-05
Description

Our project is to create a simplified, portable, modular electrocardiogram known as ECG/EKG. Most medical facilities, including hospitals, clinics, and skilled nursing facilities, still rely on traditional 12-lead EKG equipment consisting of a large cart with long 10 wires. These wires can be a pain to constantly detangle and rearrange

Our project is to create a simplified, portable, modular electrocardiogram known as ECG/EKG. Most medical facilities, including hospitals, clinics, and skilled nursing facilities, still rely on traditional 12-lead EKG equipment consisting of a large cart with long 10 wires. These wires can be a pain to constantly detangle and rearrange to determine a person’s heart conditions. This creates issues in fast paced scenarios such as when a patient is experiencing a heart attack and needs an EKG stat. Additionally, the current technology can be somewhat unreliable at determining heart conditions, causing providers to request multiple EKG’s for patients. With our improved versatile EKG, we can help solve these issues and implement additional outpatient use with its portable features. This can be done by remotely monitoring heart conditions during activities such as exercise, sleep, or stressful events, without worrying about wire disturbance.

ContributorsMullins, Hunter (Author) / Lam, Jadon (Co-author) / Goode, Zachary (Co-author) / Taut, Sarah (Co-author) / Lee, Youngju (Co-author) / Huang, Hai (Co-author) / Byrne, Jared (Thesis director) / Swader, Melissa (Committee member) / McElfish, Alex (Committee member) / Barrett, The Honors College (Contributor) / Engineering Programs (Contributor)
Created2023-05
Description

Our project is to create a simplified, portable, modular electrocardiogram known as ECG/EKG. Most medical facilities, including hospitals, clinics, and skilled nursing facilities, still rely on traditional 12-lead EKG equipment consisting of a large cart with long 10 wires. These wires can be a pain to constantly detangle and rearrange

Our project is to create a simplified, portable, modular electrocardiogram known as ECG/EKG. Most medical facilities, including hospitals, clinics, and skilled nursing facilities, still rely on traditional 12-lead EKG equipment consisting of a large cart with long 10 wires. These wires can be a pain to constantly detangle and rearrange to determine a person’s heart conditions. This creates issues in fast paced scenarios such as when a patient is experiencing a heart attack and needs an EKG stat. Additionally, the current technology can be somewhat unreliable at determining heart conditions, causing providers to request multiple EKG’s for patients. With our improved versatile EKG, we can help solve these issues and implement additional outpatient use with its portable features. This can be done by remotely monitoring heart conditions during activities such as exercise, sleep, or stressful events, without worrying about wire disturbance.

ContributorsLee, Youngju (Author) / Taut, Sarah (Co-author) / Goode, Zachary (Co-author) / Lam, Jadon (Co-author) / Huang, Hai (Co-author) / Mullins, Hunter (Co-author) / Byrne, Jared (Thesis director) / Swader, Melissa (Committee member) / McElfish, Alex (Committee member) / Barrett, The Honors College (Contributor) / Department of Management and Entrepreneurship (Contributor) / Dean, W.P. Carey School of Business (Contributor)
Created2023-05
Description

Our project is to create a simplified, portable, modular electrocardiogram known as ECG/EKG. Most medical facilities, including hospitals, clinics, and skilled nursing facilities, still rely on traditional 12-lead EKG equipment consisting of a large cart with long 10 wires. These wires can be a pain to constantly detangle and rearrange

Our project is to create a simplified, portable, modular electrocardiogram known as ECG/EKG. Most medical facilities, including hospitals, clinics, and skilled nursing facilities, still rely on traditional 12-lead EKG equipment consisting of a large cart with long 10 wires. These wires can be a pain to constantly detangle and rearrange to determine a person’s heart conditions. This creates issues in fast paced scenarios such as when a patient is experiencing a heart attack and needs an EKG stat. Additionally, the current technology can be somewhat unreliable at determining heart conditions, causing providers to request multiple EKG’s for patients. With our improved versatile EKG, we can help solve these issues and implement additional outpatient use with its portable features. This can be done by remotely monitoring heart conditions during activities such as exercise, sleep, or stressful events, without worrying about wire disturbance.

ContributorsGoode, Zachary (Author) / Huang, Hai (Co-author) / Lam, Jadon (Co-author) / Lee, Youngju (Co-author) / Taut, Sarah (Co-author) / Mullins, Hunter (Co-author) / Byrne, Jared (Thesis director) / Swader, Melissa (Committee member) / Barrett, The Honors College (Contributor) / Engineering Programs (Contributor) / School of Manufacturing Systems and Networks (Contributor)
Created2023-05
Description

Our project is to create a simplified, portable, modular electrocardiogram known as ECG/EKG. Most medical facilities, including hospitals, clinics, and skilled nursing facilities, still rely on traditional 12-lead EKG equipment consisting of a large cart with long 10 wires. These wires can be a pain to constantly detangle and rearrange

Our project is to create a simplified, portable, modular electrocardiogram known as ECG/EKG. Most medical facilities, including hospitals, clinics, and skilled nursing facilities, still rely on traditional 12-lead EKG equipment consisting of a large cart with long 10 wires. These wires can be a pain to constantly detangle and rearrange to determine a person’s heart conditions. This creates issues in fast paced scenarios such as when a patient is experiencing a heart attack and needs an EKG stat. Additionally, the current technology can be somewhat unreliable at determining heart conditions, causing providers to request multiple EKG’s for patients. With our improved versatile EKG, we can help solve these issues and implement additional outpatient use with its portable features. This can be done by remotely monitoring heart conditions during activities such as exercise, sleep, or stressful events, without worrying about wire disturbance.

ContributorsHuang, Hai (Author) / Mullins, Hunter (Co-author) / Lam, Jadon (Co-author) / Taut, Sarah (Co-author) / Goode, Zachary (Co-author) / Lee, Youngju (Co-author) / Byrne, Jared (Thesis director) / Swader, Melissa (Committee member) / McElfish, Alex (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / Department of Supply Chain Management (Contributor)
Created2023-05
Description

Ctrl+P is a start-up business created through the founder's lab class at W.P. Carey. Our group created a 3D print shop that specializes in making products, such as customizable key chains and prominent landmarks, as well as custom 3D printed solutions for local businesses and companies.

ContributorsSauerman, Luke (Author) / Bolick, Ryne (Co-author) / Bouslog, Craig (Co-author) / Valentine, John (Co-author) / Byrne, Jared (Thesis director) / Balven, Rachel (Committee member) / Kneer, Danny (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor)
Created2023-05