Optimizing Resource Planning for the Perfect Cup
Level of Education of Students Involved
Undergraduate
Faculty Sponsor
Nicholas Rosasco
College
College of Arts & Sciences (CAS)
Discipline(s)
Computer Science
Presentation Type
Poster Presentation
Symposium Date
Spring 4-24-2025
Abstract
Yaggy Road Roasting Co currently relies on a largely-manual system to track coffee orders, supplies, and production status. This creates additional overhead, as order fulfillment and production planning are not seamlessly integrated, leading to increased labor and potential delays. Without an automated system, tracking inventory levels, scheduling roasting, and ensuring timely fulfillment requires significant manual effort that is prone to error.
This project aimed to develop a fully automated tracking and fulfillment system to optimize resource utilization, reduce labor costs, and improve overall operation. A key objective was to integrate order demand with real-time inventory levels, allowing for more precise scheduling of time-sensitive roasting processes. Automating these functions enables the company to maintain better stock control, reduce waste, and ensure that coffee production aligns more closely with incoming orders.
To improve the overall functionality and usability of this product, we implemented it into a website, thereby allowing higher platform independence for the software. Primary goals for the project included a sleeker design, usage logging, and better product inventory management to help aid future coffee roasting needs. These goals derive from the existing, limited solution.
Several challenges had to be addressed during the project, including working within a constrained timeline, assessing whether to keep, replace, or extend the company’s existing partial solution, and gaining a deep understanding of their current workflow. By tackling these issues, the goal was to create a streamlined system that enhances efficiency, reduces manual effort, and ultimately improves the overall workflow of Yaggy Road Roasting Co.
Recommended Citation
Gaddini, Ben; Latzke, Matt; and Osterhus, Joel, "Optimizing Resource Planning for the Perfect Cup" (2025). Symposium on Undergraduate Research and Creative Expression (SOURCE). 1457.
https://scholar.valpo.edu/cus/1457
Biographical Information about Author(s)
Ben Gaddini is a junior computer engineering major.
Matt Latzke is a junior data science and computer science double major.
Joel Osterhus is a sophomore astronomy and computer science double major.