After having a very successful performance and getting second place on the first Littlefield simulation game we knew what we needed to do to win the second simulation game. We were very eager to outperform our competition and we almost did so, but ended up in second place again with a cash balance of $2,660,393.
The second Littlefield simulation game focused on lead time and inventory management in an environment with a changing demand (“but the long-run average demand will not change over the product’s 268-day lifetime”). Therefore our strategy to win this game was controlling the Littlefield Lab’s system capacity and the inventory level with choosing a right contract as well as keeping the cash daily as much as possible. In other
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So we calculated the TIL (Target Inventory Level) – 821 kits and reorder quantity – 713 kits with Z, 98% probability of not stocking out during the period, according to periodic review system method for last 52 days. After making last order we reset the reorder quantity and reorder point both to ‘0’ not to make anymore orders.
When our group first started planning our strategy to win the second Littlefield simulation game, it was evident that the goal of the game was to maximize profits. We were competing against 18 other teams, but we knew with correct system capacity management and correct inventory management we could be the number one team. Even though we made correct decisions overall, we ended up in second place again with a cash balance of $2,660,393 and remaining inventory of 52 kits. Although we were a little disappointed again, we were very satisfied with what we have learned and the important operations management concepts we used such as capacity management and lead-time and inventory management throughout both of the Littlefield simulation games.
Littlefield Labs -
TRANSACTION HISTORY
|Day |Parameter |New Value |
|50 |station 1 machine count |3 |
|50 |Reorder point (kits) |50 |
|50 |Max WIP limit
We recalculated the average arrival rate over the entire simulation to be approximately 11.8 orders per day, which we rounded to 12 for a small buffer. Based on this daily consumption, we found what day the next reorder point would be which was day 222. We wanted to find the demand for the final 46 days with an average of 12 orders per day came up with a figure of 552 units needed to meet demand over the last 46 days. Since we already had 61 units at the time of ordering, we subtracted that figure from the 552 and came up with a final order value of 491. This value should allow us to have a low inventory level at the end of the simulation. To achieve this, we had to change the reorder point to zero. This strategies hinges heavily on the lab not being in existence past day 268, if that were not the case, we would not recommend this plan.
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.
Patients who are uninsured or underinsured definitely benefit because they can potentially avoid crippling medical bills for the care they need. Insurance companies may also benefit due to not having to pay such large amounts for domestic
Since quarter one was the first quarter of this simulation, I was unaware of how difficult it was going to be to make all the different decisions. Firstly, I had to choose a Company name. Because I was selling computers, I thought that the name “Dev-Tech” was a perfect fit being that this simulation was about development and technology. Next, I had to choose a target segment. I knew going into this simulation that it would be better to invest in the more expensive goods as it would benefit me in the end. The segment that didn’t care about price was Mercedes, so that is the segment that I made my first priority.
In the beginning we were all confused as to how the game worked and where to begin. We looked at the various tutorials and the booklet to try and make some sense of it. Once we had some understanding, we tried to develop our strategy. In the first few rounds we understood it was important to have our company funded through stocks and long term debt. We issued stock the first
Flood of the century or not, tech companies are taking steps to limit their exposure to the next traumatic event. Some are revising their inventory models; others are implementing supply chain software and setting up Web supplier hubs. Everyone wants tighter collaboration with suppliers and timelier information from customers. Tech companies are trying, in short, to make their supply chains shorter, transparent, and as flexible as possible. Rethinking of supply chain management at large networking, telecom equipment, PC and chipmakers is the remedy in this unstable
In the first few rounds of Andrews Capsim Simulation, our best resource in terms of highest market share was Adam- which was positioned in the high end segment. Adam had the highest price of any human group which we were competing against, and we also had the highest level of awareness of any company that had market share. Due to how high our level of awareness and price were for Adam, we attempted to focus our efforts on this segment. Our strategy was originally one of value, competing in the high end market, and it worked well for the first two rounds but our capacity increased unexpectedly in the second round and we were forced to take out emergency loans to cover our surplus of capacity. We then changed our strategy to focus more on price,
The factory has been running for 50 simulated days, and management has recalled the high-powered operations team (you) to manage the capacity, scheduling, purchasing, lot sizing, and contract quotations to maximize the cash generated by the factory over its lifetime. Management is not providing any operating budget beyond the cash generated by the factory itself. You will have control of the factory from day 50 to day 386. At 1 hour per simulated day, this translates to 14 real days. At day 386, you lose control of the factory, and the simulation will quickly run another 100 days of simulation. When you lose control of the factory, management expects you to leave the factory parameters set to maximize the factory’ cash position when the factory shuts down on day 486. After the simulation s ends on day 486, you can check the status of your factory, but the factory will no longer be running. Team scores and ranking are based “cash balance,” which
Chabot needs to increase the flexibility in its supply chain. Chabot is an innovative product manufacturer trying to utilize an efficient supply chain. In order to be able to meet demand, the company needs to deploy excess buffer capacity. Lead time is not up to par so Chabot needs to increase its inventory if it plans to meet unpredictable demand. This will also help increase Chabot’s level of
During weeks 7 and 8, the group learned that any strategy could win the game as long as our costs are low. As a matter of fact, it 's about maximizing profits, and we should have focused on our market share as well as advertising. For example, if we would have kept our cost down and used that money for publicity, then it would have increased our profits.
There are different ideas can be used to pursue to sustain visibility about violence. One of the ideas is to provide parents and teachers with guidelines for talking with children about violence. Parents can talk with their kids at lunch or nigh time where they are having a family gathering. They could talk flexibly about violence, introduce the topic and explain what violence is and what are the causes of violence, the warning sign of either healthy or unhealthy relationship. I would also ask them to be open with them answering questions no matter what the question is they need to answer so the child is aware of what she or he needs or wants to know. For teachers I would guide them to ask the students to work on researches that belong to violence so the students learn about violence when they are doing the research. Also I would ask teachers to do group works where all students get to talk about the subject and share what each one of the group know about this topic so everyone get to learn a new information about violence. One other idea is to do bring guests to school to present this topic with doing some kind of fun at the same time. For example they get to ask questions and gift who answers the question. This would really help to open students eye on this topic when they are having fun too.
SCM Globe is a supply chain game designed to teach concepts in supply chain design, demand forecasting, resource allocation, and production planning by the use of illustrating how different supply chain designs produce different operating results and explore how to manage those results. The game is performed in a real-time setting that allows for helping to create a supply chain that meet customer demands for products with the lowest operating costs and lowest inventory levels. The simulation gives students an opportunity to design and manage the supply chain of stores that sell Crunch Candy and Just Born Candy. During the simulation experience, students create products, facilities, vehicles and routes while
At the start of the games simulation, the team had articulated its vision, goals, and a well-thought-out strategic plan. However, well into the first rollover, it became clear to all members that most of the strategies already devised before the game were not applicable or could not deliver the desired results.
Nike executed an upgraded variant of their stock administration programming. The thought of this recently executed stock control programming was to anticipate which items they would offer the most, and along these lines set up the appropriate measure of supply to take care of the demand. To begin with they would deliver an interest measuring and taking into account that estimates, they would set up an assembling arrangement. That is the way most huge enterprises (and some little organizations) settle on their operational business choices. Here is the procedure:-
Electronic Arts or better known yet as (EA) is known as one of the biggest gaming development companies still around today. Electronic Arts is the organization in which develops markets and distributes the so called EA games. The man behind Electronic Arts Inc is Trip Hawkins who hired designers and programmers to develop EA games as early as 1982. During that time, the company developed only home computing games that laid the foundation of today’s EA games which include the Battlefield series and Need for Speed. EA essentially had a smooth run to become a successful video game business compared to other companies such as Activision who struggled in the beginning. EA today is still one of the biggest successful gaming companies