Project Title: Automated Bolo Production Facility Concept Development
TucsonBolo
| Details | |
|---|---|
| Project Title | Automated Bolo Production Facility Concept Development |
| Project Topics | Artificial Intelligence & Machine Learning Data Management Operations Product Design & Development Software Design & Development |
| Skills & Expertise | Artificial Intelligence Cost-Benefit Analysis Data analysis Machine Learning Presentation skills Process Optimization Project Management Python Risk Assessment Simulation Modeling SQL stakeholder communication System Design Team Collaboration Technical Writing |
| Project Synopsis: Challenge/Opportunity | TucsonBolo is a well-established company known for its high-quality bolo ties, which are popular in the western fashion scene. The company prides itself on its craftsmanship and unique designs, which have garnered a loyal customer base. However, the company's current production process is largely manual, which limits its ability to scale operations and meet growing demand efficiently. This presents a significant challenge, as the inability to automate production hinders TucsonBolo's growth potential and increases operational costs. The business challenge at hand is the need to develop an automated production facility concept that can streamline operations, reduce costs, and improve product consistency without compromising on quality. The current manual processes lead to variability in product quality and longer production times, impacting the company's ability to compete in the market. This project aims to address this challenge by leveraging AI and ML to automate and optimize production processes, ensuring that TucsonBolo can meet customer demands more effectively. Students will have the opportunity to engage in a multifaceted project that involves researching the current production processes, identifying areas for automation, and designing a comprehensive facility concept that integrates modern technologies. The project will be divided into phases, including research and analysis, concept design, system development, and final recommendations. Each phase will offer students the chance to apply their technical skills in a real-world context, enhancing their learning experience and providing valuable insights into the intricacies of business operations. This project is ideal for students as it combines technical skill development with practical business applications. Students will gain hands-on experience in AI, ML, and data management, all of which are critical skills in today's job market. Moreover, the project provides an opportunity to explore consulting, operations, and strategic planning, making it a comprehensive learning experience that prepares students for diverse career paths. By addressing a real-world business challenge, students will feel motivated and engaged, knowing that their work has the potential to make a meaningful impact on TucsonBolo's operations and success.
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Project Timeline
| Touchpoints & Assignments | Date | Type |
|---|---|---|
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VIRTUAL PROJECT FARE |
Jan 22 2026, 15:00 PM Canada/Eastern (UTC-04:00) | Event |
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Temp Check #1 |
Jan 31 2026 | Evaluation |
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Temp Check #2 |
Feb 28 2026 | Evaluation |
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Temp Check #3 |
Mar 31 2026 | Evaluation |
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Temp Check #4 |
Apr 30 2026 | Evaluation |
Program Managers
| Name | Organization |
|---|---|
| Kathryn Oliverio | Lehigh University |
| Alan Jeffery | Lehigh University |
Teams
| Team Name | Project Name | Team Members |
|---|---|---|
| No Teams Available |
