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Optimizing Excellence Spring 2025

Page 13

management system indicated that full implementation would result in reduced WIP

variability,

improved

FIFO

compliance, and a decrease in rework. Additionally, the new system improved coordination

among

workers

from

different shifts. Along with other solutions, such as implementing redesigned carts to improve

ergonomics

and

staging

compliance, and developing visual cues and labeling to improve production flow tracking, the team was able to reduce rework

and

labor

waste,

improve

operational control, and achieve greater flexibility

through

scenario-based

planning. The team also developed a discrete-event simulation model to enable Medtronic to test

production

scenarios,

including

varying cycle times, staffing levels, and throughput targets. Ultimately, the team found that adding a centrifuge to the production line would have the most positive impact on product flow and WIP. The model was developed as a hybrid solution

leveraging

both

Simio

(a

simulation software program) and Excel VBA platforms, so that Medtronic can continue to utilize it in future work. Through their work with Medtronic, the seniors learned the importance of early problem

definition,

stakeholder

engagement, and expectation alignment, as

well

as

improvements

testing

small,

iterative

to

achieve

greater

outcomes. The team came away with a better

understanding

of

one

of

Minnesota’s most well-known companies, as well as an understanding of building buy-in

and

delivering

practical,

sustainable solutions.

Industrial and Systems Engineering


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