Thursday, December 26, 2019
Littlefield - 1738 Words
Strategy description Revenue maximization:Our strategy main for round one was to focus on maximizing revenue. We did not want the revenue to ever drop from $1000, so we took action based on the utilization rates of the machines. We needed to have sufficient capacity to maintain lead times of less than a day and at most, 1 day and 9 hours. Based on the linear decrease in revenue after a lead time of one day, it takes 9 hours for the revenue to drop to $600 and our profits to be $0. In terms of when to purchase machines, we decided that buying machines as early as possible would be ideal as there was no operating costs after the initial investment in the machine. Having more machines seemed like a win-win situation since it does notâ⬠¦show more contentâ⬠¦In particular, station 1 had a dangerously high utilization rate, maxing at 0.91 at day 17 and averaging 0.6 for the rest of the first 50 days. Therefore, we immediately purchased a machine 1 when the game started. After monitoring for a day, we sa w that the utilization of machines 2 and 3 were quite high at around 80%. We knew that we were at the start of the game and would have increasing demand, so we decided to purchase a machine 3 and change the priority of machine 2 to station 2. Because utilization of station 1 was still high on Day 53 and we anticipated an increasing arrival of a high number of jobs, we made the purchase of an extra machine at Station 1 to accommodate any other spikes in job arrivals, leaving us with 3 machine 1s. On Day 64, there was yet another spike in the number of job arrivals which we were able to anticipate by purchasing the extra machines prior. We considered purchasing a machine 2, but put it off as we thought we should collect more data. On Day 67, we decided that since demand would still increase, we might as well purchase another machine 2. Although these purchases took huge cuts into our initial cash balance thus limiting the amount of interest we received, our early poor rankings saw dra matic improvements as the demand of products began to increase and other teams began losing revenue. By making the initial investments and watching the data, we were able to maintain low lead times and maintain $1000Show MoreRelatedLittlefield923 Words à |à 4 PagesStanford University Graduate School of Business rev. September 2002 Managing Customer Responsiveness at Littlefield Technologies Background Littlefield Technologies (LT) has developed another DSS product. The new product is manufactured using the same process as the product in the assignment ââ¬Å"Capacity Management at Littlefield Technologiesâ⬠ââ¬â neither the process sequence nor the process time distributions at each tool have changed. The LT factory began production by investing most of itsRead MoreLittlefield Simulation2658 Words à |à 11 Pagesev ev Littlefield Simulation Report: Team A Ending Cash Balance: $1,915,226 (6th Place) Return On Investment: 549% ROI=Final Cash-Day 50 Cash-PPamp;E ExpenditurePPamp;E Expenditureââ â 1,915,226-97,649-280,000280,000=549% Analysis of the First 50 Days The Littlefield Technologies management group hired Team A consulting firm to help analyze and improve the operational efficiency of their Digital Satellite Systems receivers manufacturing facility. Upon the preliminary meeting with LittlefieldRead MoreLittlefield Simulation Write Up1190 Words à |à 5 Pagesï » ¿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. It was easily identified that major issues existed in the ordering process. Without calculations, you could tell the reorder point was too low since the historical plots showed inventory levels at zero for two or more days at a time. The number of jobs in customer orders showed correlating spikes at the sameRead MoreLittlefield Technologies Part 1664 Words à |à 3 PagesApril 8, 2013 Group Report 1: Capacity Management The following is an account of our Littlefield Technologies simulation game. The account includes the decisions we made, the actions we took, and their impact on production and the bottom line. Day 53 Our first decision was to buy a 2nd machine at Station 1. We did not have any analysis or strategy at this point. Nonetheless, this turned out to be a wise investment, since Station 1 was in danger of becoming a bottleneck in productionRead MoreOpen Source Intelligence Essay577 Words à |à 3 Pagesintelligence: An intelligence lifelineââ¬â¢, The RUSI Journal, vol. 149, no. 1, pp. 16-22. Lowenthal, M 2006, ââ¬ËOpen-source intelligence: New myths, new realtiesââ¬â¢, in R George R Kline (eds), Intelligence and the national security strategist, Rowman and Littlefield Publishers Inc, Oxford, pp. 273-278. Steele, R 1995, ââ¬ËThe importance of open source intelligence to the militaryââ¬â¢, International Journal of Intelligence and CounterIntelligence, vol. winter, no. 1, pp. 457-470.Read MoreLittlefield Simulation Report Essay1541 Words à |à 7 Pagesï » ¿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 ofRead MoreLead Time Management at Littlefield Labs642 Words à |à 3 PagesLead Time Management at Littlefield Labs Background Littlefield Laboratories has opened a new blood testing lab. This laboratory uses the same process as the lab encountered in your prior assignment, Capacity Management at Littlefield Labsââ¬âneither the process sequence nor the process time distributions have changed. The lab began operations with a raw materials inventory of 160 kits and $1,000,000 cash. Customer demand continues to be random, but the expected daily demand will not change duringRead MoreCase1046 Words à |à 5 PagesAfter 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 (ââ¬Å"but the long-run average demand will not change overRead MoreThe Impact of Slavery in America1364 Words à |à 5 Pagesencounter harsh and dehumanize treatment by their master, the masterââ¬â¢s wife, and overseer. In the article written by Ph.D. Marci Bound Littlefield states the ways that black female slaves were categorized as, for example: ââ¬Å"Motherhood, however, represented a unique position for black women, as these women also laborers, breeders and concubines.â⬠(Page 53 Littlefield) Black female slaves represent a hard working individual that after a long dayââ¬â¢s works they will still have the obligation to care forRead MoreThe Wizard of Oz- Parable on Populism1293 Words à |à 6 PagesDorothyââ¬â¢s par of silver shoes, which represented the silver issue, the yellow brick road, which represented the gold standards. An other interesting this is that ââ¬Å"Ozâ⬠in the title of this novel is actually an abbreviation of an ounce. Henry M. Littlefield was an American educator, author and historian who was most notable for his claim that The Wonderful Wizard of Oz was a political satire, linked the early life of L. Frank Baum to how the play was written. L. Frank Baum had moved to Aberdeen in
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