Littlefield Simulation Report

1525 words 7 pages
Executive Summary
Our team operated and managed the Littlefield Technologies facility over the span of 1268 simulated days. Our team finished the simulation in 3rd place, posting $2,234,639 in cash at the end of the game. We did intuitive analysis initially and came up the strategy at the beginning of the game. And then we applied the knowledge we learned in the class, did process analysis and modified our strategies according to the performance results dynamically. We have reinforced many of the concepts and lessons learned in class and had a better understanding of the operation of the Littlefield Technologies facility and how certain modifications would affect the throughput and lead time.

The Plan - Initial Strategy
Our team’s
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We kept alive monitoring and found that this strategy which worked well.
4. Changing the way Station 2 is scheduled
: We changed several times for the scheduling of Station 2. If the queue for Station #3 is high, in order to finish the job quickly, we set it to Priority #4. If the queue for Station #2 is high, we set the priority to 2#2 to increase the initial test. Based on Professor’s feedback, in the long run, it does not matter, so sometimes we usewe changed to FIFO which is default.

The Plan -5. Exit Strategy
After we bought machine for Station #1 on Day 170, our factory runs pretty wellsmoothly and we did not monitor as much frequent as before. When the game was near the end, we were thinking if we couldconsidered selling one 1 machine in Station #1. After discussion, we determined that it is not worth to sell a machine, since the retirement salvage value of the machine is only $10,000 which is way too less low . and deserve . Meanwhile,If we sell, i selling the machinet may also affect the performance of the factory. So, we decided not to sell any machine. In addition, we also tracked team rankings from time to time, and noticed that our speed to make money is faster compared with teams above us which are #1, #2,#3,#4. After doing some analysis roughly, we know we’ll be in #4 for sure and could be in #2 or #3 if lucky which in the end we are #3.
Lessons learned
Although we are pleased with our final results compared to the rest of the class, we

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