INTRODUCTION The managing of our factory at Littlefield Technologies thought us Production and Operations Management techniques outside the classroom. We experienced live examples of forecasting and capacity management as we moved along the game. Throughout the game our strategy was to apply the topic leant in Productions and Operation Management Class to balance our overall operations. The game started off by us exploring our factory and ascertaining what were the do’s and don’ts. The initial
Words: 1090 - Pages: 5
Team Contract November 4th, 2014 Mission The mission of our team is to complete all aspects of the team assignment on time and to the full requirements set forth by Professor McNickle. Project We will work to the best of our abilities on the Littlefield simulation and will work as a team to make agreed upon manufacturing changes as often as is deemed needed. In addition, we will research and tour Darigold Inc. to evaluate their operations, providing analysis and recommended changes where we deem
Words: 395 - Pages: 2
Running head: Capacity Management Capacity Management at Littlefield Technologies Anteaus Rezba Leena Alex Marcio de Godoy Pennsylvania State University Initial Strategy Definition Our strategy was to keep track of each machine’s capacity and the order queue. Initially, we tried not to spend much money right away with adding new machines because we were earning interest on cash stock. However, once the initial 50 days data became available, we used forecasting analyses to predict
Words: 671 - Pages: 3
The Mount Vernon Ladies’ Association (MVLA) is the private, non-profit organization that has owned and operated George Washington’s Mount Vernon since 1860. Founded by Ann Pamela Cunningham of South Carolina, the Association is the oldest national historic preservation organization in the United States. In 1853, Miss Cunningham’s mother observed the dilapidated Mount Vernon Mansion from a boat in the Potomac River. She was horrified at the sight of Washington’s once grand house covered with peeling
Words: 484 - Pages: 2
LITTLEFIELD CAPACITY GAME REPORT When we started to play game, we waited a long time to play game because there are several stations for buying machines and these machines have different processes. Thus, we did not know which machine is suitable for us; therefore, we waited 95 days to buy a new machine. First of all, we purchased a second machine from Station 1; however, we could not think Station 1 would be a bottleneck process. Hence, we wasted our cash and our revenue decreased from $1,000,000
Words: 357 - Pages: 2
Littlefield Initial Strategy When the simulation first started we made a couple of adjustments and monitored the performance of the factory for the first few days. Initially we set the lot size to 3x20, attempting to take advantage of what we had learned from the goal about reducing the lead-time and WIP. We also changed the priority of station 2 from FIFO to step 4. After viewing the queues and the capacity utilization at each station and finding all measures to be relatively low, we decided
Words: 1327 - Pages: 6
Capacity Management at Littlefield Labs I. Introduction There are 3 stations in the game called sample preparing, testing, and centrifuging, while there are 4 steps to process the jobs. Before the game started, we tried to familiarize with the process of the laboratories and calculating the costs (both fixed and variable costs) based on the information on the sheet given. We did not intend to buy any machines too early, as we wanted to see the demand fluctuation and the trend first. Thus, at the
Words: 841 - Pages: 4
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 performed some analysis in Excel and created a dashboard to illustrate various data. Specifically, we regressed the prior 50 days of jobs accepted to forecast demand over the next 2 - 3 months within a 95% confidence interval. The yellow and grey lines represent the maximum and minimum variability, respectively, based
Words: 765 - Pages: 4
[pic] Fall 2009 OMS 551 Final Examination Answer Document Cover Sheet Please complete the information indicated and include this page with your submission Name: ___________ ID#____________ Date Exam Taken ________ Start Time________ End Time _________ Secret Code _________ 2.5 hours allowed! Secret Code Please enter a 4-8 number/letter string that I can use for posting grade information. Use last 4 digits of ID # if you can’t think of anything else. Submissions: Return your
Words: 1086 - Pages: 5
Littlefield Technologies Game 2 Strategy – Group 28 1. CUSTOMER ORDERS AND ORDERS WAITING FOR MATERIAL: When considering the demand level and changes, we would configure a time series of that data using short range forecasting. Time series are important because they are often the drivers of decision models. Trend projection and regression analysis models will be used to forecast the future demand as the growth of the demand increases at a lower level, increases to a higher level, and then decreases
Words: 1058 - Pages: 5
