Team Members:
Eisa Arfan, Alwaleed Alsahafi, Khaled Alammar
Fleet Inventory & EngineRoom's Statistical Analysis Tools
City of Goodyear’s inventory management system is at an inefficient spot and a change is well overdue. Apart from fleet inventory, a data analysis software called EngineRoom is introduced to the city council who don’t have the time to understand its significance. Our team addressed these issues by conducting inventory analysis, reporting discrepancies, providing a moving average forecast model, and learning the EngineRoom software to develop insights about the permit plan review process to significantly decrease approval time.
Reducing Non-Value-Add Activities
Through the use of Lean techniques, the team and I created instructions for unique team processes. The methods were used to reduce and eliminate non-value add activities such as rework and idle time in employee onboarding as well as team management.
Team Members:
Lyam Hunt
Team Members:
Joshua Keiser
Hands On History (HOH) Digital Device Update
The Hands on History Digital device update aimed to revamp an outdated education program into the new world of technology that saved both time and money.
Flexible Manufacturing System Demonstration
This team designed a real life flexible manufacturing system that could be used as a test question for younger Industrial Engineering students. The team created a 3-D printed tic-tac-toe set by programming SolidWorks, FlashPrint, and Ultimaker Cura 4.5. The team then created the simulation by coding Computer Integrated Manufacturing (CIM), automatic storage and retrieval system (ASRS), and a robotic arm.
Team Members:
Anthony Marini, Isaac Clouse, Julius Barraza Valdez
Team Members:
Mark Iacovetta, John Boik, Jonathan Li
Defining Standard Time
Defining Standard Time. This project is going to go over data collection and improvement.
Interface Redesign
Create the design and the logic of a new expense report that is planned to be implemented at Legends Furniture company by the end of 2020.
Team Members:
Abdullah Aljabri Alshanfari, Simon Norman
Team Members:
Jose Sebastian Zambrano
Waste-free Balsa Production Line
My project’s main objective was to streamline a Balsa block manufacturing line using the tools I learned from Lean and the DMAIC methodology. The Balsa blocks are used in the Eolic energy industry to be used as components for windmill blades. Roughly 25,000 board feet are necessary to complete a container.
Lean Kaizen Manufacturing Implementation Framework
Manufacturing is a complicated multidimensional sensitive process. Our project’s main objective was to utilize industrial and systems engineering techniques and tools to increase the overall quality and productivity of the process in question. Our solution was to develop a research-backed framework for the implementation of improvement tools and techniques using Kaikaku/Kaizen, 6-Sigma, and Lean Work Analysis and Design as guiding philosophies.
Team Members:
Naif Alhilaly, Mohammad Al Mutery, Omar Maranon
Team Members:
Riyadh Alshezawi, Sebastian Kramer, Futoun AlMalek
Forecasting Model
This project aims to create a forecasting model that allows the company to know the level of inventory (glass, tools, and equipment) required based on a normal consumption or seasonality lead time. Using several important factors, we accomplished a system to create a special baseline to follow in order to meet the customer's demand.
Recycling Tool Capstone
With the help of our sponsor, Rob and Melani Walton Sustainability Solutions Service, and Dr. Mark Roseland, our capstone team has produced a tool to help city stakeholders and recycling partners measure and track key indicators of a city’s recycling system. Using Mark Roseland's Community Capital Framework, this tool helps to include all aspects of a city's recycling system's impacts. The tool also has easy to read outputs.
Team Members:
Marwan Alamoudi, Derek Wright
Team Members:
Juan Ortiz, Abdullah Al Alawi
Lean Initiatives
The purpose of the project was to apply lean initiatives to the City of Goodyear’s Planning and Zoning Division. The goal was identify the primary delay in the plan review process. This goal was achieved using statistical analysis of data.
PetSmart: Planner Process
Our project focuses mainly on the planner process that is done every month by PetSmart associates. The purpose of this project is to identify any operational inefficiencies in the current PetSmart planner process, which has not been reviewed since 2013, and improve the items that have been identified in scheduling factors, time standards, standard operating procedures, etc. These improvements shall then be applied to all 1,659 PetSmart stores in order to streamline the planner reset process, cut reset times, and increase annual cost savings.
Team Members:
Sara abdullah, Jacob Weiss, Khaled Alroudhan
Team Members:
Mariana Valencia Ballesteros,
Abdullah Abdulhak, Athish Nagarajan
Yield Control on Hybrid Cardiac Defibrillator
Abbott Scottsdale and Liberty Sites manufacture Hybrid Cardiac Defibrillator. The project consists on assessing current test failures and perform data mining to assess the opportunity to reduce systematic leakage and high current failures.
Fall 2020 TSA Capstone
Brief overview of the Fall 2020 TSA Capstone Project. Focused on determining proper staffing of the Central Monitoring Facility at Phoenix Sky Harbor Airport.
Team Members:
Gaurav Pokhrel, Alexander Wilson, Kenzo Hashinaka
Team Members:
Dante Lista, Sárbith Aguilar, Ali Ashour
Live Tracking of Test Adapters Location
Times Microwave System has a problem with their storage and usage of test adapters. There currently is not an efficient method of storage or method of tracking the number of uses for their test adapters. The team was tasked with developing said methods.
MRA Process Improvement Project
The MRA Process is a systematic way of repairing and maintaining mission critical equipment in support of the Littoral Combat Ship program. The MRA Process Improvement Project, led by James McMahan, used the DMAIC process to improve the efficiency and effectiveness of the MRA process.
Team Members:
James McMahan
Team Members:
Lucas Lindholm, Fawaz Alali, Yassmen Alibrahim
Supply Chains for Gene Therapy
This project developed a mathematical model that represents the gene therapy supply chain. The model is used to determine optimal decision values involved with scheduling and assigning key resources with minimal costs/delays. Several supply chains were tested with researched values to determine optimal solutions.
Redesign of the Remodeling Property Turnover Workflows in the Property Management Company
This project focuses on improving and redesigning the property remodeling turnover process workflows in the property management company.
Team Members:
Emilia Sobczak-Walawender
Team Members:
Carlos Ortiz, Collin Kaminski, Roberto Ramirez
Reduce variation in the solder process at Times Microwave Systems
Reduce variation in the solder process of the coaxial cables for Times Microwave System (TMS). This process will minimize human error in both the amount of time and depth the cables are inserted into solder pot. Project Objectives: Quality Assurance, Increase production, Semi-Automate the process.
Team Members:
Dustin Baird, Sean Lally, Bryan Barthel, Ben Neil, Chuck Aiken, Brian Gaines, Wane Weaver, John Waizmann
RDI Conveyor Flow Project
The RDI Conveyor Flow project successfully modified the direct feed conveyor system at Worthington Cylinders Columbus to improve product flow. Waiting time at the consuming weld line reduced while allowing the producing pressroom some leeway for downtime.
Applied Materials Process Improvement
Using the DMAIC methodology, the team at Applied Materials strived to improve the testing cycle times for 200mm equipment. With an investment of around $100K, we improved the time it takes to test a tool by over 20% and increased the test bay capabilities to 100% to ensure high quality and on-time deliveries to our customers.
Team Members:
Jose Perez, Rogelio Morales, Mariano Martinez, Chris Nunley
Team Members:
Amanda Akers
Air Pressure Indicator
The Air Pressure Indicator will be another layer of safety for workers using compressed air in industrial applications. It draws attention to it with LED lights and a display, signaling when air is on and providing a digital output of the pressure reading in the air line. It is attached directly to the product being worked on for high visibility.
New York Nema Emergency Exit
Development of an Emergency Exit Sign for the New York market. Achieved through an 8" Exit legend, weatherproof enclosure, sophisticated electronic power supplies and exceeding applicable safety standards.
Team Members:
Henri Lozano
Team Members:
Rob Van Gieson
Honeywell Metrology Tracking for Mechanical Test
The Tempe Honeywell campus Engineering Test group is involved with the research, development, and qualifying testing of several aerospace components for commercial and military uses. Approximately 2300 pieces of calibrated equipment are being used in Mechanical Test. Opportunities exist to improve the traceability of calibrated assets that will reduce manhours spent locating and reduce the number of lost pieces of equipment.
Minimizing Overlay/Underlay Variation in the Application of PTFE Tape as a Dielectric
Reduction of PTFE tape overlay error in the production of dielectric is critical to the product quality of coaxial cable. Customers purchasing this cable expect a product that can handle extreme conditions such as within fighter jets and satellites. Through DMAIC and other IE/EM techniques, Team Teflon helped their sponsor reduce scrap resulting from dielectric error by 41% over six months.
Team Members:
Irvin Jaime, John Romano, Kurtis Spletter
Team Members:
Nicholas Seah, Jacob Nunn, Christopher Hope
Wires That Move
The purpose of this project was to develop an optimal routing scheme to route cables to wing flaps of various commercial airliners for Times Microwave Systems. This video describes the project goals, accomplishments, and includes a brief demonstration of our testing fixture.
Implement Machine Learning on REITNotes
The problem identified was a reduction of 7% in traffic on REITCommunity month over month. Through the DMAIC methodology, we implemented Naive Bayes Classifier, classifying each of the comments as positive or negative. This improvement allowed an increase of 71% in the number of pageviews, 32.6% in Average Session Duration, and 36.8% increase in Revenue per Thousand Impressions.
Team Members:
Cintia Ceneviz