The coursework provides a quality education to students that is application oriented and connected to the needs of regional and global businesses.
The curriculum includes two major design experiences and multiple courses where students do projects in industry to get experience in complex and open-ended problem solving while applying technical and non-technical skills.
Junior Design Experience:
The MET 304 CNC Project and Cost Analysis course teaches how to successfully manage projects and provides for a project that involves designing, programming, prototyping, proofing, and manufacturing a product.
Students are expected to apply knowledge gained in previous coursework (math, science, and engineering technology courses). The deliverables include a project portfolio, poster, presentation, CNC set-up sheet, CNC program, and the final part. The project portfolio includes elements such as the project scope statement, milestones, project network, design, material selection, CNC set-up sheet & CNC program, tool list, and cost analysis.
The MET 304 serves the role in helping students understand a typical design process and gain experience with common tools engineering technologists use to work throughout the design process.
The experience our students gain during this class reaches beyond the classroom. They learn valuable lessons that they can draw from in any life situation including time management, working in teams, communicating effectively with other professionals, applying new technologies, and working within a given budget.
Watch students talk about their experiences in the CNC Project and Cost Analysis course.
Senior Design Experience
In the IET 471 Senior Design Course, students apply their technical and non-technical knowledge to actual industrial problems. The design activity includes identification of problem, objective, financial benefits, activity plan, customer analysis, data collection and analysis, generation and evaluation of solutions, and recommendations for and where possible, development of systems improvement. Students have to present their project to a diverse audience that consists of fellow classmates, invited alumni and invited IET advisory board members.
Each semester the course is taught, we have a number of companies that sponsor a variety of projects. The companies provide the technical expertise to help get students up to speed on their project and serve as a resource for questions. Students are expected to draw on their knowledge from previous course work.
Engineering Technology students complete high-impact projects that result in significant dollar savings for local manufacturing companies. Senior project examples include the following:
Andrew Morton increased throughput by 20% for one process at Joplin Workshops and increased scheduling capacity for another so employees with lower functioning capabilities are able to perform the work. The anticipated project savings were $20,000 annually.
Jason Banta’s analysis of the Joplin Workshops commercial laundry department resulted in recommendations that reduce the operational cost of 46.1 cents per pound of laundry processed to 34 cents per pound of laundry processed.
Ian Paul Gimenez analyzed whether or not a certain process at Malone’s CNC Machining should be outsourced or kept in house. He estimated a savings of $38,532 annually by keeping the Chem-Film lab in house.
- Travis Coffee improved inventory accuracies at a regional manufacturing company. The anticipated project savings were $78,000 annually.
- Caleb Erwin analyzed process capability at Modine Manufacturing and made recommendations to increase capacity.
- Fernando Ramirez determined Economic Order Quantity to streamline production in the CNC area of a local manufacturing company. The anticipated reduction in working capital was $100,000. Other benefits of the project included a reduction in part and material shortages.
- Lende Allen analyzed customer service time at a local retailer and made recommendations leading to increased sales, reduced out-of-stock inventory, and reduced receiving and stocking times.
- Chue Lo reduced heat treating process times at KMT Waterjet with anticipated savings of $32,000 annually.
- Matt Mengel used Design of Experiment principles to analyze which tool can produce the fastest strip of size 20 and 26 gauge wire while still being able to produce a quality strip at Ducommun.
- Travis Creswell benchmarked MSSU’s energy efficiency against that of similar schools in the region. He identified over $120,000 of potential annual energy conservation measures.
- Kendall Williams reduced average service order process time by 50% at a regional Telephone Company.
- Aaron Carlsen analyzed wire routing processes at Ducommun and made recommendations leading to potential savings of >$95,000.
- Jake Dahlke, Mark Capps, and Greg Johnson improved manufacturing process efficiencies for Ducommun Labarge.
- Danny Woodruff increased bag room efficiency for Twin Hills Golf and Country Club.
- Eric Hutchison analyzed call center performance for NCO Group, Joplin.
- Tom Harter characterized and optimized catalyst behavior of polyurethane potting for MCPU Polymer Engineering LLC, Pittsburg, KS
- Juan Hurtado increased quality of microwave popcorn bags for Gilster-Mary Lee Corporation.
- Robert Watson decreased defects by 50% for Boron Products Ceradyne.
- Shaun Mayhue analyzed patient satisfaction levels at Western Missouri Medical Center.
- Tim Sharon reduced production time and improved quality of hydraulic cylinders for Danco Machine.
- Mike Berry developed a new process to measure biscuit temperatures for a Joplin company. The new method eliminated safety concerns and reduced time.
- Josh Taylor and Charles Edgington used statistical methods to analyze the process of producing silver epoxy wafers at a Joplin company. They figured out which factors affect the process.
- Jamie Voegeli and Mike Berry investigated factors that may have an affect on speed in Pinewood Derby racing. They included shape, weight, graphite and lane in their design.
- Channell Lloyd used statistical methods to analyze whether athletes are in good enough shape to complete the workouts assigned by the coaches through the rate of heartbeat. She also analyzed whether listening to music affects the heartbeat and/or perceived exertion.