2018/2019 Projects

2018/2019 Industrial & Systems Engineering Industry-Sponsored Student Capstone Projects

Boeing

Chemical Bath Life Forecast

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Sponsor:
Project Name:
Chemical Bath Life Forecast
Students:
Martin Affandy
Aaron Bitz-Richards
Margerie Celestra
Caleb Peek
Yoel Teckle
Fan Xu
Faculty Adviser:
Patty Buchanan, Lecturer, Industrial & Systems Engineering
About the Project:

Chemical baths are used to clean titanium parts coming from the etching process. Chemical process tanks have a finite cleaning capacity which necessitates periodic draining & recharging with new chemical to achieve processing requirements. Current forecasting tools are based on historical usage rates and are not dynamically responsive to production increases, considering defined chemical parameters. Current QA chemistry monitoring is not predictive of bath life resulting in unplanned tank refill, increased cost, as well as schedule impact (both operations & maintenance). The student team was tasked with developing a system to track the number of parts processed through each specific tank on a weekly basis to provide a more robust forecasting of chemical solution bath life correlated to, or directly determined by, production rates.

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Boeing

Tooling Condition Monitoring

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Sponsor:
Project Name:
Tooling Condition Monitoring
Students:
William Chen
Charles LeCuyer
Vuong Ngo
Austin Park
Hailey Wyman
Faculty Adviser:
Patty Buchanan, Lecturer, Industrial & Systems Engineering
About the Project:

Tools are built and inspected prior to first time use and never inspected again. Boeing currently uses pullout punches in order to create holes of the right diameter to join ducts together. These pullout punches are placed within a duct and then pulled through a pilot hole in the duct which will then expand the hole to the same diameter as the punch. This in turn, causes contact wear on the punch and over time starts to affect the critical dimension of the punch. When the wear gets too significant, the pullouts created by the punch will no longer be within tolerance, which causes a significant amount of rework downstream in order to get the ducts mated properly. Currently no system is in place to keep track of the wear on these tools. The student team worked to develop a system for the area operators to check tools for wear outside the usable engineering tolerances, monitor tool use environmental and performance conditions, and predict the remaining life of tools.

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Boeing

X-Ray Inspection, Tube Fixturing for Batch Processing

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Sponsor:
Project Name:
X-Ray Inspection, Tube Fixturing for Batch Processing
Students:
Levi Bisson
Yubin Kim
Xiaolu Li
Jullio Tchouta
Jessica Yeh
Faculty Adviser:
Patty Buchanan, Lecturer, Industrial & Systems Engineering
About the Project:

Tubes used in airplane manufacturing must be inspected. Currently, 55% of process time is spent on the setup for inspection. The team worked to design fixturing for multi-piece processing of tubes for x-ray inspection imaging. Challenges included a work field limited by equipment, keeping parts stationary while the x-ray inspection image is captured, and capturing images without obstruction.

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Eastside Baby Corner

Streamlining the Inventory Receiving and Storage/Retrieval Process

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Project Name:
Streamlining the Inventory Receiving and Storage/Retrieval Process
Students:
Dalton deDianous
Sofia Dolce
Emma Harrison
Camden Hess
Madison Johnson
Saivikas Reddy Chittepu
Faculty Adviser:
Patty Buchanan, Lecturer, Industrial & Systems Engineering
About the Project:

Eastside Baby Corner (EBC) provides families with newborns a strong start in life by providing the necessities that each family needs in order to care for their children. EBC collects everything from diapers and car seats to clothes and toys. The student team worked in the warehouse to analyze the receiving and sorting process to develop procedures and best practices to reduce time and handling and used lean practices and methodologies to streamline current processes. They also developed a standard work and visual communication board to help with incoming and outgoing material.

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Genie

First in First out Schedule for Fabrication Shop

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Sponsor:
Project Name:
First in First out Schedule for Fabrication Shop
Students:
Nicholas Carwin
Deborah Huh
Chanakarn Karnchanavetchakul
Hyunwoo Kim
Evan Kirkpatrick
Tham Panichtrakul
Kenneth Wibisono
Faculty Adviser:
Patty Buchanan, Lecturer, Industrial & Systems Engineering
About the Project:

Genie currently uses an Access database to track parts and part materials throughout the facility. The database fulfilled many of Genie’s initial needs in providing a central location where data could be monitored and stored. Since 1997, many problems have arisen in the database that have led to slower production and a decrease in quality of information available. As Genie continued to improve by producing more parts and collecting more data, the database struggled to keep up the speed it once had. As problems arose, the database was tweaked and added onto in order to fix the short-term issue, however, it failed to address the long-term issues the current form presents, such as slow speed resulting in duplicate entry logs. The student team was tasked with improving the usability and speed of the Access database, as well as providing a wireframe which can eventually be linked with SQL programming, in order to provide an enhanced user Interface.

McKinstry

Unlocking Data in the Built Environment

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Sponsor:
Project Name:
Unlocking Data in the Built Environment
Students:
Ibrahem Adem
Ben LaRoche
Aman Michael
Claire Overby
Tianyi Wang
Faculty Adviser:
Ashis Banerjee, Assistant Professor, Mechanical Engineering
Patty Buchanan, Lecturer, Industrial & Systems Engineering
About the Project:

McKinstry has a desire to better utilize data in the built environment to effect behavior. The student team was tasked with capturing, assessing, and analyzing large amounts of building data to identify trends and deliver recommendations on what occupants and operators should be doing differently to positively impact resource consumption in the built environment.

PACCAR

Driver Alertness Monitoring System

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Sponsor:
Project Name:
Driver Alertness Monitoring System
Students:
Faisal Almubarak
Joshua Emilio
Vanja Glisic
Bailey Good
Madalyn Li
David Prendez
Faculty Adviser:
Patty Buchanan, Lecturer, Industrial & Systems Engineering
About the Project:

PACCAR is interested in monitoring and improving driver alertness. An effective system must detect and warn the driver when an incidence of driver distraction or driver loss of attention occurs while driving. The student team worked to identify a camera that will allow eye tracking to detect for driver distraction, identified the ideal location for camera installation and determined the best method of alert to notify the driver when they are distracted.

PACCAR

Part Sales Statistical Control

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Sponsor:
Project Name:
Part Sales Statistical Control
Students:
Patricia Ambrus
Olivia Chicoine
Jae Yong Lee
Stephanie Palmer
William Zhou
Faculty Adviser:
Youngjun Choe, Assistant Professor, Industrial & Systems Engineering
About the Project:

PACCAR seeks to be pro-active in warranty cost reduction, and wants to track parts sales and determine if a cause for out of control variation will lead to warranty claims for a part. The student team worked to build control charts to indicate if there an unusual increase or decrease in a part’s orders over time. Their R Shiny platform allows PACAR to quickly identify, over time, out of control variation in engine and aftertreatment parts sales.

Seattle Children’s Hospital

Seattle Children’s Downtown TechBar Staffing Models

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Project Name:
Seattle Children’s Downtown TechBar Staffing Models
Students:
Edward Cho
Robert Crittenden
Helene Hawes
Austen Lane
Adrian Pyoych
Abigail VonFeldt
Faculty Adviser:
Patty Buchanan, Lecturer, Industrial & Systems Engineering
About the Project:

Seattle Children’s Hospital is working to develop IT talent recruiting and career pathway infrastructure to support thier "TechBar" which will service SCH employees and potential community members of the downtown area. This programmatic effort will draw diverse talent from under-served communities to provide candidates with employment and career opportunities potentially leading to positions beyond the Children's TechBar. To support these efforts the student team was tasked with creating IT/business process designs that provide for an "eConcierge" service for the TechBar customers. Students developed standard procedures and performance criteria for a successful staffing model for a unified customer experience for IT support and coffee services, with the intent to keep cost low and quality high. The model considered various customer arrival rates and helped determine when staffing IT specialist support is necessary.

Seattle City Light

Food Service Electrification

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Project Name:
Food Service Electrification
Students:
Cole Burge
Jacob Fink
Joanna Garcia
Nahom Ghirmay
Ivan Iturriaga
Matthew Kim
Ladat Pattaraarayakul
Robert Pedersen
Ziange Wang
Faculty Adviser:
Patty Buchanan, Lecturer, Industrial & Systems Engineering
Joyce Cooper, Professor, Mechanical Engineering
About the Project:

The City of Seattle has goals to reduce greenhouse gas emissions. As part of this initiative, Seattle City Light is investigating the potential for all-electric renewable energy powered food trucks for use on Seattle streets that have all-electric appliances and no need for propane or gas. In addition to reducing greenhouse gases, improving the viability and operation of food trucks from an environmental perspective addresses issues related to equity. The student team was tasked with demonstrating how to layout, design and build a food truck kitchen using all-electric appliances and renewable energy that satisfies the typical needs of the majority of food trucks used in the Seattle area. They also worked on mapping out the steps to retrofit an existing food truck to all electric appliances, taking into account cost considerations of the retrofit. Finally, the team worked to layout an electric food truck plaza.

TE Connectivity

TE AMT Harrisburg Resource Forecasting and Scheduling

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Sponsor:
Project Name:
TE AMT Harrisburg Resource Forecasting and Scheduling
Students:
Daniel Bollinger
Calvin Crooks
Brooke Dieker
Casey Germino
Mason Gionet
Thanika Painruttanasukho
Ben Stemer
Faculty Adviser:
Patty Buchanan, Lecturer, Industrial & Systems Engineering
About the Project:

The TE Connectivity Automation Manufacturing Technology Group in Harrisburg, PA, wants to improve their resource forecasting and scheduling system for its engineering, shop and contract manufacturing resources. The student team was tasked with building a user-friendly resource planning and scheduling system that demonstrates the ability to schedule organizational resources, assess plan status and costs, and provides high level and detailed reporting.

The City of Bellevue, in collaboration with Livable City Year

Automatic Vehicle Locator for Transportation: Streets / Signals

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Sponsor:
Project Name:
Automatic Vehicle Locator for Transportation: Streets / Signals
Students:
Mohammed Arab
Kevin Castro-Siguenza
Pradipta Nurahmat
Nikita Sharma
Gina So
Aryton Tediarjo
Faculty Adviser:
Patty Buchanan, Lecturer, Industrial & Systems Engineering
About the Project:

The City of Bellevue aims to help city transportation staff improve efficiencies related to clearing roads during snow and ice events, and is planning to deploy a commercial-off-the-shelf (COTS) telematics system for the winter weather response fleet (plows, sand and salt spreaders, and de-icing trucks). The COTS telematics system is envisioned to provide data on vehicle location, plow position, material spread rate, and time.

Currently, the City of Bellevue does not have a sophisticated system for covering deicing and snow plowing routes. Their current system was created a few decades ago and there is no proof that the system still works today. The current system needs to be optimized to help City of Bellevue efficiency rates in regards to their deicing and snow plowing procedures. The student team worked to develop a dynamic optimization model or platform that will help the City of Bellevue Transportation Department reduce costs and resources for snow and ice response efforts.

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