By Group 4: First, 50 days of daily average demand was 15.50 and SD was 4.12. Our team operated and managed the Littlefield Technologies facility over the span of 1268 simulated days. 105 10 We did many things right to win this simulation. We use cookies to give you the best experience possible. Littlefield Technologies is an online factory management simulator program produced since 1997 by Responsive Learning Technologies for college students to use while taking business management courses. UNSCOP recommended two solutions. This article summarizes the nine contributions to the symposium on system dynamics. The best two options for the hospital to reach their goal in my opinion are, reducing the agency staff and changing the skill mix. In complex simulation-based learning environments, participants learning and performance may suffer due to demands on their cognitive processing, their struggle to develop adequate mental models, Background. Written Assignment: Analysis of Game 2 of Littlefield Technologies Simulation Due March 14, 8:30 am in eDropbox Your group is going to be evaluated in part on your success in the game and in part on how clear, well structured and thorough your write-up is. Littlefield Simulation Overview Presentation 15.760 Spring 2004 This presentation is based on: . But we knew that this time we needed to act faster than before to acquire new machinery. B6016 Managing Business Operations Our strategy was to get lead times down below .5 days and offer customers that lead time to maximize revenue. To ensure we are focused and accomplish these set goals, the following guidelines Running head: Capacity Management performance of the factory for the first few days. 217 Management requires a 10% rate of return on its investments. Littlefield Stimulation - Pre-Little Field Paper - StuDocu On observing the 100% machine utilization at any given station for few consecutive days, we immediately added the new machines. We had split the roles. COLLEGE |CARROLL SCHOOL OF MANAGEMENT Ending Cash Balance: $1,915,226 (6th Place) On day 50 of the simulation, my team, 1teamsf, decided to buy a second machine to sustain our $1,000 revenue per day and met our quoted lead time for producing and shipping receivers. This meant that machine 1 was not able to keep up with the incoming demand and lacked the proper capacity. 185 Clipping is a handy way to collect important slides you want to go back to later. ROI=Final Cash-Day 50 Cash-PP&E ExpenditurePP&E Expenditure 1,915,226-97,649-280,000280,000=549% The company had excess space in the existing facility that could be used for the new machinery. Registered address: Louki Akrita, 23 Bellapais Court, Flat/Office 46 1100, Nicosia, Cyprus By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. In Littlefield, total operational costs are comprised of raw material costs, ordering costs and holding costs. In addition, we will research and tour Darigold Inc. to evaluate their operations, providing analysis and recommended changes where we deem applicable. Littlefield Simulation Strategy Hello Everyone! 20000 Rank | Team | Cash Balance ($) | cost for each test kit in Simulation 1 &2. Last year our forecast sales were 24,000 when we only sold 19,866; therefore we thought it would be best to leave production at 20,000 bikes. I was mainly responsible for the inventory management. Purpose. As our utilization was remaining at a constant 100%, our lead times were also increasing. Information about the two alternatives follows. We could also see based on the. 25 Project A linear regression of the day 50 data resulted in the data shown on Table 1 (attached)below. Learn faster and smarter from top experts, Download to take your learnings offline and on the go. Uploaded by zilikos. Introduction BLUEs: The purpose of this simulation was to effectively manage a job shop that assembles digital satellite system receivers. s This was determined by looking at the rate of utilization of the three machines and the number of jobs in the queue waiting for these machines. This taught us to monitor the performance of the, machines at the times of very high order quantities when considering machine. This, combined with the fact that queues were not growing in front of either Station 2 or 3, suggested that Station 1 was the bottleneck in the process. Expert advisors know that demand will end abruptly on Day 268 and the lab will no longer be necessary. In this simulation we decided to take the message of The Goal and apply it as fast as we could. This means that the last 50 days of the simulation period cannot be influenced through any decision-making either. In order to expand capacity and prepare for the forecasted demand increase, the team decided to immediately add a second machine at Station 1. Total Littlefield once again has contracted with your operations management consulting team to manage their operations for this new product. Inventory June As soon as we noticed our lead times drop sufficiently enough for a new contract, we upgraded immediately. Youre not the guy? Pharapreising and interpretation due to major educational standards released by a particular educational institution as well as tailored to your educational institution if different; The decision making for the machines is typically based on the utilization of machines. It has been successfully used at the graduate and undergraduate level by thousands of students at more than a dozen universities. Tap here to review the details. We will calculate costs associated with running a production facility. Littlefield Laboratories has opened a new blood testing lab. 57 It was quickly determined that the machine 1 was our bottleneck, as it was the only machine with 100% utilization and excess number of jobs in the queue. us: [emailprotected]. After letting our system adjust to the changes, we moved to contract 2 when the lead time was decreased to about 1 day. So we purchased a, machine at station 2 first. The company has been functioning well in terms of generating profit and demand so far. Current State of the System and Your Assignment Managements main concern is managing the capacity of the factory in response to the complex demand pattern. We knew that the initial status quo was limited by the inventory quantity. Analysis - Littlefield Simulation Analysis Littlefield Initial Strategy Customer Demand However, management has found that historic lead times[1] during the first 50 days of production often extend into several days, and so they have been unwilling to quote the shorter lead times to customers. According to the, If I can play this game again, the most part of plan can same as before. The decision for the customer contract is between three options. Littlefield Simulation Report: Team A . At this point, all capacity and remaining inventory will be useless, and thus have no value. [PDF] System Dynamics and Simulation/Gaming | Semantic Scholar Summary of articles. Because: Expert Answer 100% (1 rating) True In order to rectify the inventory policy, the EOQ framework was to be utiliz View the full answer Good teamwork is the key. Littlefield Simulation Analysis, Littlefield, Initial Strategy We also reorder point (kits) and reorder quantity (kits), giving us a value of 49 and 150., 66 | Buy Machine 3 | Both Machine 1 and 3 reached the bottleneck rate as the utilizations at day 62 to day 66 were around 1. We realized that without awareness, no matter how many units we make, sales would be inefficient. Do a proactive capacity management: Job scheduling. This essay was written by a fellow student. In the game, teams are . Team Contract By doing so, the labor costs are significantly reduced and the unit demand will be covered. However on observing the further utilization problems and the fact that machine at station-1 costed only 25000 $, we decided to add the 8th machine. Processing in Batches The SlideShare family just got bigger. This button displays the currently selected search type. To minimize this threat, management policy dictates that new equipment cannot be purchased if the remaining cash balance would be insufficient to purchase at least one order quantity worth of raw materials. board The British supported the establishment of a Jewish state in the area and Jewish immigration was greatly increasing especially following the Holocaust during World War II. Upon the preliminary meeting with Littlefield management, Team A were presented with all pertinent data from the first 50 days of operations within the facility in order for the firm to analyze and develop an operational strategy to increase Littlefields throughput and ultimately profits. writing your own paper, but remember to Following, we used regression analysis to forecast demand and machine productivity for the remaining of the simulation. Littlefiled simulation game 1. Our initial contract situation was contract-1, which provided a revenue of 175 $/day. The product lifetime of many high-tech electronic products is short, and the DSS receiver is no exception. ANSWER : Littlefield 1. SOMETIMES THEY TAKE A FEW MINUTES TO BE PROCESSED. The sales revenue decreased from 9 million to 6 million in 12 years and also they incurred operating losses. considering the suppliers delivery lead-times of 14-days and a safety stock. The simulation provided five options for cost cutting at the hospital with only two of the options available to select from, in hopes of the best result. Littlefield Technologies Simulation: Batch Sizes Analysis Littlefield Simulation 2: Occupylittlefield With our second littlefield simulation complete, we have reinforced many of the concepts and lessons learned in class. Management is concerned about this outcome. A detailed data analysis and how the game progressed. match. Our team finished the simulation in 3rd place, posting $2,234,639 in cash at the end of the game. After some discussion we came to the conclusion that the cost of buying another machine would far outweigh the small loss of revenue of each of these occurrences. Group Report 1: Capacity Management The following is an account of our Littlefield Technologies simulation game. Thanks. 33 Nevertheless, although we ranked 4th (Exhibit 1: OVERALL TEAM STANDING), we believe we gained a deeper understanding of queuing theory and have obtained invaluable experience from this exercise. We were asking about each others areas and status. 6. TIA. After a few months of detailed scrutiny of the numbers, we were able to make pricing decisions more quickly by using the breakeven change in volume to set the new price. This helped us focus more on our individual areas. We bought additional machines at stations with high utilization rates in an attempt to relieve those bottlenecks. Littlefield Technologies Simulator Hints | Techwalla For the purpose of this report, we have divided the simulation into seven stages after day 50, explicating the major areas of strategically significant decisions that were made and their resulting first increased our inventory reorder point to 10,800 units and changed the order quantity amount to 1800 units. 5 PM on February 22 . We made many mistakes, but most importantly we have learned from. In the game, teams are challenged to optimize the system and maximize cash flow for Littlefield Technologies, a factory that assembles Digital Satellite System Receivers from electronic kits. Activate your 30 day free trialto unlock unlimited reading. Littlefield Technologies - Responsive The difference between remaining at $750/order vs. $1250/order could have been as high as 1.3 million dollars over the life of the game (218 days) therefore the cost of new machines was small compared to the benefit and the overall revenue potential made it imperative to get to the lowest lead times possible. During the simulation start, we calculated our own economic order quantity (EOQ) and reorder points (ROP). At the end of day 350, the factory will shut down and your final cash position will be determined. We've encountered a problem, please try again. Littlefield Simulation Report | PDF | Simulation | Demand - Scribd On Fire . We did not change the production quantity. 81 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. Littlefield Simulation Report. Go for aggressive contracts, but manage lead times. Anteaus Rezba The case was given one day in advance. LITTLEFIELD SIMULATION REPORT To be able to give right decision and be successful in the simulation, we tried to understand the rules in a right way and analyzed yearly forecasts to provide necessary products to the customers on time (lead time) for maximizing our profit. LittlefieldPaper1026.pdf - Winning Strategy for the Littlefield This may have helped us improve our simulation results further. In short, our inventory management could have been better towards the end. 7. At day 97, our team ranked first in the overall standing, and wanted to try to maintain this standing for the rest of the simulation., Finally, on day 150 we try an all in strategy spending $160.000 in 1 machine for station 1 and 2 to increase the capacity and to process jobs only on conditions of contract 3. requirements? Anita Lal Although we had the choice to produce as much as 30,000 units, we felt as though we did not have sufficient money to increase production. Jaimin Patel Analysis of the First 50 Days Overall results and rankings. Other solution was to set the EOQ and the reorder points close to the initial simulation starting levels. 1 Littlefield Labs Simulation Professor: Ioannis (Yannis) Bellos Course: MBA 638 School of Business Information Systems . This laboratory uses the same process as the lab encountered in your prior assignment, Capacity Management at Littlefield Labsneither the process sequence nor the process time distributions have changed. LittleField Gam1 One-Other-Explanation - YouTube 65 2 | techwizard | 1,312,368 | Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. Littlefiled simulation game 1. We did not have any analysis or strategy at this point. We noticed that around day 31, revenues dipped slightly, despite the fact that the simulation was still nowhere near peak demand, suggesting that something was amiss in our process. The goal of the symposium is to investigate how research in system dynamics is contributing to simulation-gaming, and how the more general field of simulation-gaming is influencing work in system dynamics. Markowicz felt that he had a primary responsibility to the company to ensure that the production process runs smoothly at his plant, and after the first half of 2010, it reported profitable operations and net cash inflows from investing activities was positive for the first time in three years and had already reached $250,000 in just the first half of the year. We had explored few possibility of making good inventory decisions towards the day 305. Although orders arrive randomly to LT, management expects that, on average, demand will follow the trends outlined above. Later however, as the demand increased, it became increasingly complex and difficult for me to predict the annual demands needed for correct EOQ and ROP calculations. 1. The demand during the simulation follows a predefined pattern, which is marked by stable low demand, increasing demand, stable high demand and then demand declining sharply. Chu Kar Hwa, Leonard Ketaki Gangal.