These reports enable factory managers to quickly assess performance and make Littlefield strategy decisions. It should not discuss the first round. How to watch your competition During the simulation you can see the current cash standings of all your competitors. X-Bar analysis Determine rate of inventory usage and found it was compressing until day 180, at that time it began to increase for two periods signaling a need to drop operational costs. Towards the end of the simulation, we used a similar strategy to the last simulation. This made us decide to purchase an additional 3 machines to help reduce that. Little Dashboard now offers free tryouts.
This post is brought to you by , a service that will save you and your team hours throughout your simulation. It is said that case should be read two times. A posteriori, were you happy with your capacity decision process and would you use the same one if the game was to start over again? Utilization would remain steady until Day 121 when Station 1 started to trend back toward full capacity. There was a substantial decline in arriving orders during the same time period. Large batches lead to large inventory; small batches lead to losses in capacity. So we re-set the reorder point to 3600, which provides a four day inventory plus a safety net.
Another key thing we changed instantly was the queue sequencing. This value may create by increasing differentiation in existing product or decrease its price. The authors also examined the potential barriers, as well as the bridges, that practitioners experienced in the hospital units. As the demand for orders decreases, the reorder point and reorder quantity will need to be adjusted accordingly. In addition, this group was extremely competitive… they seemed to have a lot of fun competing against one another. We ended with more capital than we began with and finished third overall in the standings, as shown below. We nearly bought a machine there, but this would have been a mistake.
Simulation Analysis The simulation takes us through the supply and demand of two bedroom rental apartments in a nice, clean and amazing town of Atlantis. The title of the Littlefield Technologies game 2 is Customer Responsiveness. The description should be generic, i. If your demand is stable, it is pretty simple to calculate the reorder point and order quantity to avoid stockout. 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. 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.
Based on my passed experiences and current knowledge, I would recommend that the key decision maker take his or her time when. Management is currently quoting 7-day lead times, but management would like to charge the higher prices that customers would pay for dramatically shorter lead times. We saw demand decrease dramatically, which led to us selling the machine. This post is brought to you by , a service that will save you and your team hours throughout your simulation. Stage 3: During our preliminary meeting, the team discussed the possibility of purchasing a fifth machine for Station 1. Purpose and Research Questions The authors clearly stated their purpose and research questions in the abstract. Words: 2600 - Pages: 11.
We looked at the first 50 days of raw data and made a linear regression with assumed values. We were getting 15 orders a day but only shipping out around 9 a day. Words: 751 - Pages: 4. When choosing an appropriate batch size, there is a trade off between capacity and inventory. Teams are also using these items to generate graphs for their post simulation reports. Back in the Revolutionary and Enlightenment era these three people overcame many obstacles in the name of independence.
A huge spike in demand caused a very large queue at station 3 and caused our revenues to drop significantly. In addition, alternatives should be related to the problem statements and issues described in the case study. A posteriori, were you happy with your inventory model and would you use the same one if the game was to start over again? Day 50 Once the initial first 50 days of data became available, we plotted the data against different forecasting methods: Moving average, weighted moving average, exponential smoothing, exponential smoothing with trend, and exponential smoothing with trend and season. These reports enable factory managers to quickly assess performance, make Littlefield strategy decisions, keep the entire team in sync, and beat their competitors. This quantity minimizes the holding and ordering costs.
Group 3 was a three-way split. The write-up only covers the second round, played from February 27 through March 3. B6016 Managing Business Operations Report on Littlefield Technologies Simulation Exercise By Group 4: Anise Tan Qing Ye Aneel Gautam Chu Kar Hwa, Leonard Tan Kok Wei Ranking Reflecting on the simulation exercise, we have made both correct and incorrect decisions. While some artists focused on the cityscapes, others turned their sights to the city's inhabitants Sam, 2004. There is a lot of uncertainty on.
Words: 923 - Pages: 4. Impression pieces were constructed by artists using short broken brushstrokes. This post is brought to you by , a service to monitor your factory and email you up-to-date results. A downward jump in cash could be due to paying back a loan or other factors described below. Initial operations strategy Prior to the commencement of the simulation, we examined the 50 days of historical data to glean as much information as we could about the operations. We hope this exit strategy works.
It also showed the effect of a price ceiling on the quantity demanded and quantity supplied. We also calculated mean with 2. One is duplicating that is direct imitation and the other one is substituting that is indirect imitation. If not, define precisely how you would forecast demand for another potential run of the simulation. The qualities that I used to… 1190 Words 5 Pages Littlefield Simulation Write-up December 7, 2011 Operations Management 502 Team 9 Littlefield Lab We began our analysis by searching for bottlenecks that existed in the current system. As a result of using this simulation the concepts and analytic tools that I would be able to use in my workplace are that I am now able to approach a decision making scenario with appropriate knowledge and testing procedures to help make the best decision. Neither you, nor the coeditors you shared it with will be able to recover it again.