We were afraid to go to the 5 by 12 because of the large setup time at stations one. In other words, we first needed to find daily average demand and match it to the Littlefield Labs system capacity. I was mainly responsible for the inventory management. As shown by the figure above, total revenues generally followed the same trend as demand. Littlefield Technologies (LT) has developed another DSS product. We had three priority scheduling choices at station-2: FIFO, Items from station-1 and Items from station-3. The Niche Cost Leader Strategy puts the main focus on positioning a product at an affordable price while still presenting value to its customers. Here are our learnings. 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. The first was that the area be implications of the growing role of private military companies (PMCs) for governing global politics 25 This suggested that perhaps the priority of scheduling needed adjustment; so on day 66 the team changed Station 2 priority from FIFO to give preference for Step 4 units. Analysis - Littlefield Simulation Analysis Littlefield Initial Strategy Furthermore, implementation of these changes would not affect in any of the daily operations schedules. 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. Can you please suggest a winning strategy. To account for the unpredictability in demand and the possibility of getting many consecutive high demand days, we stayed with a reorder point greater than our estimate. Knowing this, I then take my output per hour and divide it by 16-hour days to find the actual production rate., 1st stage, we knew there will be bottleneck at station 1 and 3 so additional machines must be purchased. The study suggests that developing a simple ILE is essential in raising the interest of a wide audience involved in sustainable development policy making and after stakeholders gain confidence in the benefit of the ILE, it becomes easier to integrate simulation exercises into planning processes at national, regional and local levels. s Littlefield Technologies was developed by Sunil Kumar and . Anyone here experienced the wrath of Littlefield Simulation in their operations management course? 15000 Our initial contract situation was contract-1, which provided a revenue of 175 $/day. 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. This enabled us to get even high revenues of 240 $ per day. OPERATIONS & STRATEGIC MANAGEMENT | | But we did not know if it was the reason for the full utilization of the machinery. Jaimin Patel We wanted our inventory to drop close to zero to minimize overall holding costs, but never actually reach zero. BLUEs: 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. Create an account to follow your favorite communities and start taking part in conversations. Delays resulting from insufficient capacity undermine LTs promised lead times and ultimately force LT to turn away orders. It should not discuss the first round. At the end of day 350, the factory will shut down and your final cash position will be determined. Our team operated and managed the Littlefield Technologies facility over the span of 1268 simulated days. board First, 50 days of daily average demand was 15.50 and SD was 4.12. Littlefield Simulation Report - 1533 Words | Studymode The purpose of this simulation was to effectively manage a job shop that assembles digital satellite system receivers. Management Strategy PDF Littlefield Simulation Overview Presentation We set up a spreadsheet to forecast demand ev Littlefield Simulation 2: Occupylittlefield With our second littlefield simulation complete, we have reinforced many of the concepts and lessons learned in class. Serious games offer. In September we fire 4 employees and October we fire 2 employees cutting our labor cost, but still reaching our unit demand. Littlefiled simulation game 1. 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. Not a full list of every action, but the getting second place on the first Littlefield simulation game we knew what we needed to do to win the second simulation game. 217 Day 50 The disadvantage with this approach is that it consumes a lot of time - the time, which runs at a rapid pace of three simulation days per minute. Seeing that the machines could process a lot more inventory faster than we expected, we decided to change our reorder points and order quantities, to 6000 units and 24,000 units, respectively. This article summarizes the nine contributions to the symposium on system dynamics. The remaining days included few high demand and then declining demand days. Faculty can choose between two settings: a high-tech factory named Littlefield Technologies or a blood testing service named Littlefield Labs. Introduction 5. 5 PM on February 22 . Expert advisors know that demand will end abruptly on Day 268 and the lab will no longer be necessary. 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, Except for one night early on in the simulation where we reduced it to contract 2, because we wouldnt be able to monitor the factory for demand spikes, we operated, on contract 3 almost the entire time. . With full utilization, we were unable to produce enough product to meet our order demands, further increasing the queues at each station and increasing our lead times (as shown)., When the simulation began, we quickly determined that there were three primary inputs to focus on: the forecast demand curve (job arrivals,) machine utilization, and queue size prior to each station. In terms of choosing a priority for machine 2, we decided to switch to priority to step 2 since machine 2's utilization was consistently higher than machine 3's. 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. Management would like to increase revenue and decrease costs. PLEASE DO NOT WAIT UNTIL THE FINAL SECONDS TO MAKE YOUR CHANGES. 65 Section 54 | station 1 machine count | 2 | Management trusts you will be able to effectively Responsiveness at Littlefield Technologies In the last simulation we relied much more heavily on our EOQ model and planned out purchases of machinery with the raise in demand. ANSWER : Littlefield 1. Processing in Batches The product lifetime of many high-tech electronic products is short, and the DSS receiver is no exception. We made many mistakes, but most importantly we have learned from. Aneel Gautam Any remaining machinery or inventory will be useless after Day 268, and thus have no residual value. This time, they would like your help with further lead time improvements and optimizing their inventory policy. Team Shortly after day 50, we switched to the contract-2. We then determined our best course of action would be to look at our average daily revenue per job (Exhibit 7) and see if we could identify any days when that was less than the maximum of $1,000/job, so we could attempt to investigate what days to check on for other issues. 249 The SlideShare family just got bigger. 1. Furthermore, the analysis will be used to provide a basic understanding of how changes in staffing and productivity impact profit and loss., When working as a health care administrator, one must make important financial decisions that can make or break the future of the organization. Background Initially we set the lot size to 3x20, attempting to take advantage of what we had learned from the goal about reducing the. We did not take any corrective measure to increase our profit margins early in the game. Starting at 5 PM on Wednesday, February 27, the simulation will begin The game will end at 9 PM on Sunday, March 3. As expected, the contracts with lesser lead-times fetch the company higher revenues per day. Given the average demand and an order lead time of 4 days we were able to calculate an approximate reorder point. Initial Strategy Definition DEMAND Supplemental understanding of the topic including revealing main issues described in the particular theme; 15 In particular, if an Littlefield Technologies Assignment In the initial months, demand is expected to grow at a roughly linear rate. We did switch the lot size to 3 by 20 early in the simulation since we know that smaller batch sizes can speed up production. Very useful for students who will do the simulation for the first time. PMC personnel providing security services must be prepared to engage in combatant roles; however, much of their duties will be as guards to prevent breeches of security. Out of these five options, exponential smoothing with trend displayed the best values of MSE (2.3), MAD (1.17), and MAPE (48%). We did many things right to win this simulation. 169 The goal of setting the inventory policies is to avoid inventory stock outs and the decision-making is typically based on ordering the optimum inventory quantity (EOQ) at right reorder-points (ROP) i.e. after how many hours do revenues hit $0 in simulation 1. We knew that the initial status quo was limited by the inventory quantity. 0 $600. We did intuitive analysis initially and came up the strategy at the beginning of the game. Since the demand was fairly constant, it was not essential to change the reorder point. At our first meeting we analyzed the first given 50 days so that we could get the daily average demand and SD (Standard Deviation). Littlefield Simulation Report | PDF | Simulation | Demand - Scribd This product also is expected to have a 268-day lifetime. 24 hours. (Exhibit 2: Average time per batch of each station). 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. . 2013 209 Though we are pleased with our final results compared to the rest of the class, we see there is still room for improvement. But we knew that this time we needed to act faster than before to acquire new machinery. B6016 Managing Business Operations Because we hadnt bought a machine at station 1 we were able to buy, the one we really needed at station 3. Report on Littlefield Technologies Simulation Exercise Having more machines seemed like a win-win situation since it does not increase our expenses of running the business, yet decreases our risk of having lead times of over a day. 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. Marcio de Godoy 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. Between days 60 to 70, utilization again hit 100% at Station 1 for a few days but the team decided to delay purchasing a third machine, as lead times remained below one day. 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. However, the difference in choosing between the priorities seemed minimal and is probably only important during times of high demand. 9 We did many things right to win this simulation. At s the end of this lifetime, demand will end abruptly and factory operations will be terminated. This added an overhead expense of approximately 2147 (Additional maintenance costs + Transfer costs). 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. This may have helped us improve our simulation results further. We bought additional machines at stations with high utilization rates in an attempt to relieve those bottlenecks. Has anyone done the Littlefield simulation? I'm messing up - reddit 9. Initially we set the lot size to 320, attempting to take advantage of what we had learned from the goal about reducing the lead-time and WIP. You can read the details below. Please refer to the appendix (Exhibit I) for detailed financials., The Elijah Heart Center needs to make changes on cost-cutting, funding options for equipment, and funding options for capital expansion. I started to decide the order quantity and reorder points based on my own gut feel but considering the previous simulation settings and live simulation behavior. Littlefield Technologies Part 1 - 655 Words | Studymode 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. On many occasions, we questioned each others assumptions and methods to sharpen the other persons thinking and this improved our decision-making. Winning strategy for the Littlefield simulation game - Digital WPI Littlefield Simulation Analysis 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. considering the suppliers delivery lead-times of 14-days and a safety stock. We had explored few possibility of making good inventory decisions towards the day 305. Our decisions were somewhat limited to our EOQ models completion and our risk adversity. Anise Tan Qing Ye When the machine-count at station-1 reached seven, we were hesitant to add further machines despite heavy utilization. Closer to Day 50, shop floor space constraints are limiting the number of jobs being accepted into the factory. However, when . The final result was amazing, and I highly recommend www.HelpWriting.net to anyone in the same mindset as me. Littlefield Technologies Part 1 - 664 Words | Bartleby Littlefield Simulation BLUEs: Anita Lal Jaimin Patel Kamal Gelya Ketaki Gangal 2. Preplan should include your strategy for the game and the analysis your group did to arrive at that strategy.