Faculty Directed Student Projects: Every firm has that “job jar” of important projects that just never seem to reach peak priority for the limited resources available. These are exactly the projects that the DCMME Center is interested in assisting you with.
If interested in partnering with the Center to complete a project with your company or to learn more, contact us at firstname.lastname@example.org.
A project with Indiana Department of Transportation
The primary objective of the Ohio River Bridges project was to develop a present value analysis by analyzing the funding structure of both INDOT and WVB partners to identify whether the P3 approach of DBFOM is profitable or not. The funding structure includes the toll revenue projection model (reflective of current traffic patterns), operations and maintenance cost of the bridges. We also did a comparative study of Ohio River bridge with other bridges that have similar features (physical, financial, design, policies, etc.).
Project Scope: The key objective of the project was to collect extensive data including employee information, location, skills and core competencies for 270 companies in the 10-county region of Indiana with the goal to develop smart people, smart processes and smart technologies through various resources.
WHIN Supply Chain
Project Scope: The WHIN Supply Chain Leakage project aims to solve the issue of the Supply Chain Leakage in the Wabash 10-county region by developing a web database which will allow companies to easily access information about each other and take advantage of products and services available within the region itself resulting in reduced supply chain leakage. The database is being populated with information from participating company websites that will serve as a directory.
DOE Project #1
Project Scope: This project is assisting one of the scientists on finding product/market fit, economic value, and ROI for a new technology to produce synthetic graphite which would have a huge impact on cost of electric vehicle batteries and drive EV sales.
DOE Project #2
Project Scope: This project is assisting a scientist on Technoeconomic analysis of production and separation of rare earth metals and developing a product roadmap for the technology. The team is also studying purity vs. cost of purification vs. price of Dysprosium, Cerium & Neodymium.
Project Scope: The team is developing a game to simulate the capacity game and its outcomes based on various constraints on information sharing using ASP, MySQL & HTML and will launch this game to train students.
OPENCV People Tracking
Project Scope: This project focuses on the identification and tracking of all people in the engagement center. In this project, live video feed from cameras set up in the center was used as input. OpenCV algorithm using tensorflow library identified and tracked people.
OPENCV Crowd Analysis
Project Scope: In this project we will be leveraging video analytics to perform crowd analysis over visitors in a room. The objective of the project is to detect and count the number of people in a room every 15 minutes. Live feed and images from preinstalled cameras will be processed by the algorithm, providing us the number of people at that instance in the room.
Proctor & Gamble
The European Union grant offered faculty, students and staff a great opportunity to work with Procter and Gamble on projects that included business continuity planning with suppliers, manufacturing synchronization and container visibility optimization. Each of these projects was driven by detailed data and contracts and focused on generating quantitative estimates of the impact of optimizing the system and maximizing impact to the supply chain. The Business Continuity project was led by Professor Gemma Berenguer. The simulation models for production were led by Professor Olga Senicheva.
The manufacturing synchronization and container visibility projects were led by Professor Ananth Iyer. The goal of the synchronization effort was to produce all required orders on a weekly basis i.e., get to a goal of 100% weekly synchronization. But there were some key issues to consider, from differences in packaging, to differences in formulation to line production constraints to forecast variability. In addition, there were setup times that had to be kept track of as production shifted across products. With intense collaboration with P&G managers, and data at a highly granular level, the team produced a mathematical model to optimize the system that permitted both 100% weekly synchronization as well as a close to 5% projected reduction in capacity required.
The project provided a great learning experience and will appear in various forms, from class exercises to cases to academic papers in future years. The container visibility project involved a visiting faculty member from Turkey, Professor Cagri Haksoz and Ananth Iyer. They applied ideas from their past methodological papers to the estimation of the optimal way to use container visibility to improve the supply chain. Their results suggest that waiting to gather data so that it helps in the choice of contingent actions may be preferred to acting too early. Similarly, the decision of when to get this information may depend on how significant the cost of delay is to the system and how expensive the cost of taking corrective steps to remain on schedule. The container visibility project’s results are expected to be used to understand the economics of different tracking schemes for global container flows.
Project Part 2
A second student group worked with Dr. Berenguar and Dr. Iyer on the Proctor and Gamble’s (P&G) laundry pod to accomplish a safety stock and inventory analysis for key components, a JaamSim model to visually and analytically simulate supply chain disruptions for different components, a business continuity and risk planning analysis for each supplier, and an optimization model to determine optimal production plans in a global context. The team began the project by looking at different components and identifying the most critical by delay impact, supplier risk, demand variability, and other factors. From there, the team created a mathematical model to provide recommendations on optimal inventory levels. The next step was a model created in JammSim, a 3D graphic simulation tool, which visually showed how supply chain disruptions lead to manufacturing delays and the financial impact. This simulation model showed the importance of managing risk which transitioned the project into the third stage. Here the team created business continuity plans for each component. This involved conducting a risk analysis of the supplier, the substitutivity of the component, the criticality of the material, and other risk areas. A plan was created for each component of the laundry pods and areas that need to be particularly monitored. The final part was an optimization model that pulled in data from other parts of the project which enabled us to create optimal production plans for day-to-day production as well as when disruptions occur.
WHIN Education has built a network of company representatives interested in providing research to develop a global epicenter for agriculture and next-generation manufacturing empowered by smart “Internet of Things” platforms. The team is in the early stages of company interviews and has spread the word through interactive group sessions and a WHIN launch event. In April, WHIN offered a pilot training session, where the team helped to address technology and education issues companies may be facing.