When we reached the end of first period, we looked on game, day 99 and noticed that demand was still growing. Tips for playing round 1 of the Littlefield Technologies simulation. highest profit you can make in simulation 1. There are 3 stations in the game called sample preparing, testing, and centrifuging, while there are 4 steps to process the jobs. 5000 Looking at our Littlefield Simulation machine utilization information from the first 50 days, it was fairly easy to recognize the initial machine bottleneck. Our goals were to minimize lead time by reducing the amount of jobs in queue and ensuring that we had enough machines at each station to handle the capacity. Our assumption proved to be true. 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. Login . maximum cash balance: 9, 2. This project attempts to model this game using system dynamics approach, which Littlefield Simulation II. 225 Managing Capacity and Lead Time at Littlefield Technologies Team 9s Summary 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. 0000002541 00000 n The following equation applies to this analysis: Regression Analysis = a + bx After using the first 50 days to determine the demand for the remainder of the )XbXYHX*:T;PQ G8%+dQ1bQpRag2a c E8y&0*@R` - 4e:``?y}g p W At this point we knew that demand average would stabilize and if we could make sure our revenue stayed close to the contract mark we wouldnt need any more machines. If so, Should we focus on short lead- It will depend on how fast demand starts growing after day 60. Overview Can gather data on almost every aspect of the game - Customer orders They all agreed that it was a very rewarding educational experience and recommend that it be used for future students. Operations Policies at Littlefield We tried to get our bottleneck rate before the simulation while we only had limited information. 2 Pages. 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. xref When we looked at the demand we realize that the average demand per day is from 13 to 15. We forecast demand to stay relatively stable throughout the game based on the information provided. Project There was no direct, inventory holding cost, however we would not receive money. When the simulation first started we made a couple of adjustments and monitored the performance of the factory for the first few days. Different Littlefield assignments have been designed to teach a variety of traditional operations management topics including: process analysis capacity management forecasting production control inventory control queueing lead time management. Download Free PDF. Tan Kok Wei This latest move comes only a month after OPEC sig Capacity Planning 3. Strategies for the Little field Simulation Game Executive Summary Our team operated and managed the Littlefield Technologies facility over the span of 1268 simulated days. the operation. D=100. Leave the contracts at $750. These predictions save companies money and conserve resources, creating a more sustainable supply chain. Accessing your factory Purchasing Supplies We further reduced batch size to 2x30 and witnessed slightly better results. a close to zero on day 360. 153 0000000649 00000 n There is a total of three methods of demand forecasting based on the economy: Macro-level Forecasting: It generally deals with the economic environment which is related to the economy as calculated by the Index of Industrial . Write a strategy to communicate your brand story through: Each hour of real time represents 1 day in the simulation. D~5Z>;N!h6v$w 595 0 obj<>stream Assignment options include 2-hour games to be played in class and 7-day games to be played outside class. Little field. Current market rate. Purchase a second machine for Station 3 as soon as our cash balance reached $137,000 ($100K + 37K). LITTLEFIELD TECHNOLOGIES Which of the following contributed significantly to, Multiple choice questions: Q1- Choose all of the below statementsthat are consistent with lean thinking . Posted by 2 years ago. Each customer demand unit consists of (is made from) 60 kits of material. Thus we spent $39,000 too much. Because we didnt want to suffer the cost of purchasing inventory right before the simulation ended we made one final purchase that we thought would last the entire 111 days. : an American History (Eric Foner), Civilization and its Discontents (Sigmund Freud), Forecasting, Time Series, and Regression (Richard T. O'Connell; Anne B. Koehler), Biological Science (Freeman Scott; Quillin Kim; Allison Lizabeth), Campbell Biology (Jane B. Reece; Lisa A. Urry; Michael L. Cain; Steven A. Wasserman; Peter V. Minorsky), Chemistry: The Central Science (Theodore E. Brown; H. Eugene H LeMay; Bruce E. Bursten; Catherine Murphy; Patrick Woodward), Educational Research: Competencies for Analysis and Applications (Gay L. 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Choosing the right one depends on your business needs, and the first step is to evaluate each method. The average queues at stations 1 and 3 were reduced. 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Average Daily Demand = 747 Kits Yearly Demand = 272,655 Kits Holding Cost = $10*10% = $1 EOQ = sqrt(2DS/H) = 23,352 Kits Average Daily Demand = 747 Kits Lead Time = 4 Days ROP = d*L = 2,988 99% of Max. increase the capacity of step 1. For information on the HEOA, please go to http://ed.gov/policy/highered/leg/hea08/index.html. At the end of day 350, the factory will shut down and your final cash position will be determined. allow instructors and students to quickly start the games without any prior experience with online simulations. 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. 0 Survey Methods. We nearly bought a machine there, but this would have been a mistake. 201 At day 50. We also set up financial calculations in a spreadsheet to compare losses on payment sizes due to the interest lost on the payment during the time until the next purchase was required. 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. EOQ 2. The findings of a post-game survey revealed that half or more of the . We started the game with no real plan in mind unlike round 2 where we formulated multiple strategies throughout the duration of the game. We set the purchase for 22,500 units because we often had units left over due to our safe reorder point. Plan 7 Pages. Although marketing is confident of the rough shape of demand, there Is not enough marketing data to predict the actual peak demand at this point. 5 PM on February 22 . Simulation: Simulation forecasting methods imitate the consumer choices that give rise to demand to arrive at a forecast. Delays resulting from insufficient capacity undermine LTs promised lead times and ultimately force LT to turn away orders. management, forecasting, inventory control, diagnosis and management of complex networks with queu-ing, capacity constraints, stock replenishment, and the ability to relate operational performance to nancial performance. Summary of actions Download now Introduction To Forecasting for the Littlefield Simulation BUAD 311: Operations Management fForecasting Objectives Introduce the basic concepts of forecasting and its importance within an organization. Little Field Simulation Going into this game our strategy was to keep track of the utilization for each machine and the customer order queue. Thus, we did not know which machine is suitable for us; therefore, we waited 95 days to buy a new machine. Estimate the best order quantity at peak demand. Littlefield Simulation game is an important learning tool for understanding operations principles in production environments, and therefore it is widely used by many leading business schools. Management's main concern is managing the capacity of the lab in response to the complex demand pattern predicted. Political Science & International Relations, Research Methods, Statistics & Evaluation, http://ed.gov/policy/highered/leg/hea08/index.html, CCPA Do Not Sell My Personal Information. Littlefield Simulation. PRIOR TO THE GAME Round 1 of Littlefield Technologies was quite different from round 2. fPJ~A_|*[fe A0N^|>W5eWZ4LD-2Vz3|"{J1fbFQL~%AGr"$Q98e~^9f ,(H Y.wIG"O%rIQPPuXG1|dOJ_@>?v5Fh_2J Before the simulation started, our team created a trend forecast, using the first 50 days of data, showing us that the bottleneck station was at Station 1. Open Document. 2. None of the team's members have worked together previously and thus confidence is low. Applied Materials is a corporation that specializes in supplying manufacturing equipment for semiconductor companies. 03/05/2016 Mission Learn faster and smarter from top experts, Download to take your learnings offline and on the go. Instant access to millions of ebooks, audiobooks, magazines, podcasts and more. Business Case for Capacity in Relation to Contract Revenue, Batch Sizing and Estimation of Set-up Times, Overview of team strategy, action, results, LITTLEFIELD SIMULATION - GENERAL WRITE-UP EVALUATION, We assessed that, demand will be increasing linearly for the, after that. The next step was to calculate the Economic Order Point (EOP) and Re Order Point (ROP) was also calculated. We used demand forecast to plan purchase of our machinery and inventory levels. we need to calculate capacity needs from demand and processing times. and After viewing the queues and the capacity utilization at each station and finding all measures to be relatively low, we decided that we could easily move to contract 3 immediately. January 3, 2022 waste resources lynwood. 169 Specifically we were looking for upward trends in job arrivals and queue sizes along with utilizations consistently hitting 100%. Following, we used regression analysis to forecast demand and machine productivity for the remaining of the simulation. V8. Out of these five options, exponential smoothing with trend displayed the best values of MSE (2.3), MAD (1.17), and MAPE (48%). The game started off by us exploring our factory and ascertaining what were the dos and donts. If actual . The objective was to maximize cash at the end of the product life-cycle (270 days) by optimizing the process design. For questions 1, 2, and 3 assume no parallel processing takes place. . Poc temps desprs van decidir unir els dos webs sota el nom de Xarxa Catal, el conjunt de pgines que oferirien de franc sries doblades i/o subtitulades en catal. How did you forecast future demand? The product lifetime of many high-tech electronic products is short, and the DSS receiver is no exception. littlefield simulation demand forecasting black and decker dustbuster replacement charger. Our team finished the simulation in 3rd place, posting $2,234,639 in cash at the end of the game. Weve updated our privacy policy so that we are compliant with changing global privacy regulations and to provide you with insight into the limited ways in which we use your data. The purpose of this simulation was to effectively manage a job shop that assembles digital satellite system receivers. Demand Prediction 2. Littlefield Strategy = Calculating Economic Order Quantity (EOQ) 9 years ago The Economic Order Quantity (EOQ) minimizes the inventory holding costs and ordering costs. Demand forecasts project sales for the next few months or years. It should not discuss the first round. The. We analyzed in Excel and created a dashboard that illustrates different data. reorder point and reorder quantity will need to be adjusted accordingly. Right before demand stopped growing at day 150, we bought machines at station 3 and station 1 again to account for incoming order growth up until that point in time. Littlefield Simulation Report: Team A Recomanem consultar les pgines web de Xarxa Catal per veure tota la nostra oferta. Initial Strategy Using simulation, a firm can combine time-series and causal methods to answer such questions as: What will be the impact of a price pro motion? This is a tour to understand the concepts of LittleField simulation game. utilization and also calculate EOQ (Economic Order Quantity) to determine the optimal ordering Change the reorder quantity to 3600 kits. to get full document. According to Holt's exponential model we forecast the average demand will be 23, by using The simple EOQ model below only applies to periods of constant demand. Littlefield Labs makes it easy for students to see operations management in practice by engaging them in a fun and competitive online simulation of a blood testing lab. In addition, this group was extremely competitive they seemed to have a lot of fun competing against one another., Arizona State University business professor, I enjoyed applying the knowledge from class to a real world situation., Since the simulation started on Monday afternoon, the student response has been very positive. At the end of the final day of the simulation we had 50 units of inventory left over Cash Balance: $ 2,242,693 Days 106-121 Day 268 Day 218-268 Day 209 Focus was to find our EOQ and forecast demand for the remaining days, including the final 50 days where we were not in control. 2. Which of the. This book was released on 2005 with total page 480 pages. 0000002816 00000 n 0000007971 00000 n Although marketing is confident of the rough shape of demand, there Is not enough marketing data to predict the actual peak demand at this point. We also need to calculate the holding cost (H). We did intuitive analysis initially and came up the strategy at the beginning of the game. and then took the appropriate steps for the next real day. This proved to be the most beneficial contract as long as we made sure that we had the machines necessary to accommodate the increasing demand through day 150. 1541 Words. size and to minimize the total cost of inventory. 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