A downward jump in cash could be due to paying back a loan or other factors described below. A linear regression of the day 50 data resulted in the data shown on Table 1 attached below. The cost-cutting options I choose were changing the skill max and reducing agency staff. This left the factory with zero cash on hand. Purchasing Machines : Since our goal is to maximize the cash position and it is costly to buy a new machine, we decided to invest in a conservative way—we only buy machines when it becomes bottleneck. The only difference between station 2 and the other stations is that jobs go through twice. LittleField In the LittleField Game 2, our team had to plan how to manage the capacity, scheduling, purchasing, and contract quotations to maximize the cash generated by the lab over its lifetime.
On Day 135, we changed our conservative machine buying stratifies into aggressive strategies based on did some revenue data analysis: a. Krishan Soni '08 Joint degree candidate, Yale Medical School We did a short factory simulation, called the Littlefield Simulation, in the Operations Engine class taught by Art Swersey. Why are some of the days duplicated across multiple rows with decimals? If your demand is stable, it is pretty simple to calculate the reorder point and order quantity to avoid stockout. In this example demand is growing by 1 unit per day, starting at a demand of 100 units per day on day 100. In addition, we were placed 17th position in overall team standing.
This post is brought to you by , a service that will save you and your team hours throughout your simulation. Change the reorder point to 3000 possibly risking running out of stock. During the tryout you will receive several factory reports. Next is Robert Sorum, his number is 530-219-4173 and his email is: rtsorum gmail. These reports enable factory managers to quickly assess performance, make Littlefield strategy decisions, keep the entire team in sync, and beat their competitors. We had a better understanding of the operation of the littlefield facility and how certain modifications would affect the throughput and lead time.
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. We still have one more simulated month of increase in demand and then that high demand will stay for two more simulated months and the decline will only follow after. Stage 4 had our team running hundreds of numbers and equations to find the average amount of kits moved per day, the average amount of money we made on contract 3, how many days we could run before reordering etc. Apartment, Demand curve, Economic equilibrium 1086 Words 6 Pages April 8, 2013 Group Report 1: Capacity Management The following is an account of our Littlefield Technologies simulation game. We wanted to keep the lead time between. Little Dashboard monitors your factory and emails you up-to-date results. Station two Testing Machine and three Tuning Machine had some slack time, but once we purchased another board stuffing then the utilization increased each day with both station two and three.
These technological and engineering achievements made Rome the dominating empire in ancient history. This demand is the integral of the linear demand over the length of a specific period equal to the lead-time. And then we applied the knowledge we learned in the class, did process analysis and modified our strategies according to the performance results dynamically. What is Simulation it is a computer program for business to analyze a model to make decision on their product, pricing, customers, finance and. Although most parents believe that they are supporting their children by supplying the latest technology, there is a suggestion that it might have a negative impact on our teenagers. Art Anonymous 3 questions: 1 I am having trouble logging in.
Follow Coursework Littlefield Techonologies is offered as a part of college coursework. The Romans engineering superiority that created their unstoppable sea power also contributed to the success of this great civilization. You will also learn how to determine the duration of the project, and the critical path. Stage 3: During our preliminary meeting, the team discussed the possibility of purchasing a fifth machine for Station 1. We noticed that on Day 40, Day42, and Day 44, machine in station 1 has the utilization more than 90% which means station 1 is a bottleneck. Following, we used regression analysis to forecast demand and machine productivity for the remaining of the simulation.
In addition, we were able to inverse the slope after day 183 and predict the demand for the last 50 days. And then, we identify the bottleneck based on utilization. But what does it cost and what do you gain? It was apparent that both Stations 1 and 3 were operating at full capacity, frequently hitting 100% utilization. Put more simply, you can calculate the units required by adding the demand on the days considered. Time series are important because they are often the drivers of decision models. You should be able to figure out the average service time at each station but even if you can't you know the utilizations and thus know what the utilizations will be if you add equipment. Personal knowledge and speculation were included as well.
Words: 1738 - Pages: 7. The highest budget game is Grand Theft Auto 5 reaching 265 million dollars. Eventually, demand should begin to decline at a roughly linear rate. I know that there are three lead time options 7 days, 1 day and 0. If you have had a class on game theory, you will be well aware of this concept.
Most business simulations are used for business acumen training and development. We all came together to figure out the. The problem we encountered in stage 3 is that all of our numbers were shown to the other groups during class just 4 days into the ten-day game. Large batches lead to large inventory; small batches lead to losses in capacity. Computer simulation, Cumulative distribution function, Monte Carlo method 541 Words 12 Pages Littlefield Simulation 2: Occupylittlefield With our second littlefield simulation complete, we have reinforced many of the concepts and lessons learned in class. As the simulation ran for 268 days there were various methods and decisions we made in the process. Change the reorder quantity to 3600 kits.
The speed of technology and usage is ongoing and expanding throughout the country and the world. The brand manager will need to create awareness and encourage consumers within targeted segments to try the product. This will be obvious when the game starts. To forecast Demand we used Regression analysis. 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.