littlefield simulation 1 strategy

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. It is now nine months later, and Littlefield Technologies has developed another DSS product. Background 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. 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 the daily average demand and SD we could control the Littlefield Labs system capacity. [pic] |BOSTON Overall results and rankings. Management would like to increase revenue and decrease costs. Littlefield Simulation Analysis, Littlefield, Initial Strategy - Littlefield Simulation Analysis - Studocu Homework assignment littlefield simulation analysis littlefield initial strategy when the simulation first started we made couple of adjustments and monitored Skip to document Ask an Expert Sign inRegister Sign inRegister Home Ask an ExpertNew Operations Policies at Littlefield SOMETIMES THEY TAKE A FEW MINUTES TO BE PROCESSED. 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. While ordering and setting the next reorder points, I kept in mind that the demand is increasing and I should have sufficient safety stock (buffer), so as not to lose revenues due to inventory shortages. We had intense debate in the team, whether to add new machines further or not. LT managers have decided that, after 268 days of operation, the plant will cease producing the DSS receiver, retool the factory, and sell any remaining inventories. PLEASE DO NOT WAIT UNTIL THE FINAL SECONDS TO MAKE YOUR CHANGES. Ranking Littlefield Technologies mainly sells to retailers and small manufacturers using the DSSs in more complex products. We did not have any analysis or strategy at this point. After all of our other purchases, utilization capacity and queuing at station. Moreover, we also saw that the demand spiked up. Demand However, once the initial 50 days data became available, we used forecasting analyses to predict demand and machine capacity. Littlefield Simulation Solutions and analytical decisons made. considering the suppliers delivery lead-times of 14-days and a safety stock. 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. 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. Forecasting: match. Therefore our strategy to win this game was controlling the Littlefield Labs system capacity and the inventory level with choosing a right contract as well as keeping the cash daily as much as possible. 1. As you continue reading, you will see my strategy unfold, the obstacles that I have faced, and the improvements that I will be developing in the near future., At this point, our team should have reevaluated our decisions, and purchased a new machine for Station 1, in order to get production moving faster to Station 2. When first approaching this game we met to strategize, forecast, make a meeting schedule, and divide the work. It has been the central topic for many resolutions, special committees, and peacekeeping efforts over the last sixty years. Since production volume variance indicates whether the materials and production management staff is able to produce goods in accordance with long-range planned expectations, we, Elijah Heart Center is experiencing a cash flow problem, to help improve this dilemma, the goal is to save the Hospital $900,000 in the first year. Decisions Made Correct writing styles (it is advised to use correct citations) 113 Research shows that learning and task performance improve when participants in management exercises understand the structure of the system they control. 4 | beaters123 | 895,405 | Project 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. I agree and I need help. One key element that caught my attention was bottleneck issues. They believe a more responsive laboratory will increase revenue and they understand well-balanced inventory policies ought to minimize costs. 105 8. This article summarizes the nine contributions to the symposium on system dynamics. Marcio de Godoy 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. Purpose. Uploaded by zilikos. Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. We did many things right to win this simulation. View Assessment - Littlefield_1_(1).pptx from MS&E 268 at Stanford University. This work reports a laboratory experiment in which managerial performance in dynamic tasks is improved by improving the quality of decisions made in the context of a dynamic environment. Mission On Fire . . Background Littlefield Simulation - Free download as Word Doc (.doc / .docx), PDF File (.pdf), Text File (.txt) or read online for free. 5 PM on February 22 . Choose skilled expert on your subject and get original paper with free plagiarism 72 hours. Tap here to review the details. Global negotiations to reduce greenhouse gas (GHG) emissions have so far failed to produce an agreement. 33 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. 5. 25 Very useful for students who will do the si, 100% found this document useful (4 votes), 100% found this document useful, Mark this document as useful, 0% found this document not useful, Mark this document as not useful, Save Littlefield Simulation Report For Later, Do not sell or share my personal information. Cash Balance We had explored few possibility of making good inventory decisions towards the day 305. performance of the factory for the first few days. Analysis of the First 50 Days Our strategy was to keep track of each machines capacity and the order queue. 233 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. Littlefield Technologies is an effective teaching tool that the students seem to really enjoy and the students are forced to think logically about the problems that they are facing and they learn from iterative experimentation. Information about the two alternatives follows. Littlefield Simulation Overview Presentation 15.760 Spring 2004 This presentation is based on: . Decision 1 As we will see later, this was a slight mistake since the interest rate did have a profound impact on our earnings compared to other groups. In addition, we will research and tour Darigold Inc. to evaluate their operations, providing analysis and recommended changes where we deem applicable. 161 This article summarizes the nine contributions to the symposium on system dynamics. 57 Borrowing from the Bank Right now I'm doing social work by purchasing the inventory and then selling it for zero revenue. from the word go. LinkedIn and 3rd parties use essential and non-essential cookies to provide, secure, analyze and improve our Services, and (except on the iOS app) to show you relevant ads (including professional and job ads) on and off LinkedIn. The results and insights generated by these contributions suggest that the greatest need for future research on system dynamics and its contribution to simulation-gaming is demonstration of improvements in learning and performance. on 54th day. I was mainly responsible for the inventory . One of success parameters were profits, though we did manage to make significant profits over the last two years, we did not focus on it early in the game. Good teamwork is the key. Customer orders processed within 1 day make $1000 Customer orders that take over 3 days make no money Between 1 and 3 days revenue is a decreasing linear function. Having excess inventory, we concluded that 20,000 units should be enough considering our quality has not changed and our advertising will not increase the sales dramatically. Return On Investment: 549% 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. Second, we controlled the inventory level with finding right QOPT (Optimal Order Quantity) and reorder point according to continuous review system method. 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. Figure 1: Day 1-50 Demand and Linear Regression Model : Littlefield Simulation Report. However, the difference in choosing between the priorities seemed minimal and is probably only important during times of high demand. As a result, we continued to struggle with overproduction and avoiding stock outs, but made improvements resulting in less drastic inventory swings in the later. In the final simulation, we corrected our mistakes. The five options for cost cutting are reducing agency staff, downsizing staff, reducing benefits, changing the skill mix, and reducing length of stay for the patients. A detailed data analysis and how the game progressed. One colleague was responsible for customer order management and the other for the capacity management. By Group 4: Inventory June corporate profile part 2 security controls and risk mitigation recommendation Corrections and crime and crime prevention.docx, Corporate finance essay fin 4610 Baruch College.docx, corporate research assignment My Nursing Experts.docx, Corporate entrepreneurship nursing writers.docx, Corporate security major security and.docx, Correctional goals and prison privatization.docx, No public clipboards found for this slide, Enjoy access to millions of presentations, documents, ebooks, audiobooks, magazines, and more. Starting at 5 PM on Wednesday, February 27, the simulation will begin The game will end at 9 PM on Sunday, March 3. Graduateway.com is owned and operated by Radioplus Experts Ltd Based on our broad, We adjusted focus to our niche market, sold off capacity in the low end and traditional markets, and proceeded to decrease our production going into the next round. Thereafter we kept an active watch on lead-times and tried to resolve it through the intense team communication and proactive operations-management. The few sections of negative correlation formed the basis for our critical learning points. View the full answer. 5 It should not discuss the first round. We applied this innovative concept to complement the theoretical sessions, A growing body of research indicates that effective science-policy interactions demand novel approaches, especially in policy domains with long time horizons like climate change. 5 | donothing | 588,054 | According to the, If I can play this game again, the most part of plan can same as before. Our goal was to buy additional machines whenever a station reached about 80% of capacity. We used to observe revenues. 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. 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. Learn more in our Cookie Policy. It appears that you have an ad-blocker running. 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. They include five articles on basic research in learning and teaching principles for system dynamics, three articles on interactive learning, Purpose In the first trial simulation, we were hesitant to add machines. Because all stations were at times operating at full, we knew that all would create a bottleneck if left to operate as is. us: [emailprotected]. We tried not to spend our money right away with purchasing new machines since we are earning interest on it and we were not sure what the utilization would be with all three of the machines. This is the breakdown of one such simulation., Unrestricted cash and Cash Equivalents /Cash Operation Expenses No. Management is currently quoting 7-day lead times, but management would like to charge the higher prices that customers would pay for dramatically shorter lead times. At the time that the United Nations was founded, Great Britain administered the area of Palestine as a result of a mandate that had been assigned to them by the League of Nations. By doing this, we could produce all incoming kits with a priority enabling an even flow of kits to Station 3. 2013 Its main interest is in creating a peaceful end to this conflict and ensuring that both sides are just in their actions. Here is a discussion of the pros and cons regarding the decisions we made. Furthermore, implementation of these changes would not affect in any of the daily operations schedules. cite it correctly. Later, we were forced to add machines. Report on Littlefield Technologies Simulation Exercise Supplemental understanding of the topic including revealing main issues described in the particular theme; 15000 Because we hadnt bought a machine at station 1 we were able to buy, the one we really needed at station 3. This decision was taken based on a demand of 91 jobs and a utilization of station 1 of 0.83 between days 143 and, After the initial observations of demand for littlefield labs (day 52), one of the first steps we took was to identify the bottleneck in the production chain. Looks like youve clipped this slide to already. 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. A huge spike, in demand caused a very large queue at station 3 and caused our revenues to drop, significantly. 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. These teams had to figure out their strategies and activities on the go. We decided to purchase an additional machine for station 1 because it was $10,000 cheaper, utilization was higher here, and this is where all the orders started. 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. Any remaining machinery or inventory will be useless after Day 268, and thus have no residual value. 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. However, if we fail to manage our operations to fulfill the promised lead-times, we do not receive any revenue at all. To ensure we are focused and accomplish these set goals, the following guidelines Running head: Capacity Management Littlefield Simulation BLUEs: Anita Lal Jaimin Patel Kamal Gelya Ketaki Gangal 2. Customer demand continues to be random, but the expected daily demand will not change during the labs life span. http://quick.responsive.net/lt/toronto3/entry.html One solution was that we should let the inventory run out and not reorder anything. We noticed that the bottleneck was not just at station 1, but at all stations, and that buying a new machine would not be the right choice to make, but rather, changing the way in which the stations processing is queued would be the better option. Contract Pricing 2 | techwizard | 1,312,368 | We realized that without awareness, no matter how many units we make, sales would be inefficient. Accessing your factory Machine configuration: Littlefield Simulation. This proposal, when implemented, can save up to Rs. Even if negotiations succeeded, however, a binding treaty could not be ratified or implemented, By clicking accept or continuing to use the site, you agree to the terms outlined in our. A detailed data analysis and how the game progressed. Day 53 Our first decision was to buy a 2nd machine at Station 1. In my opinion, I can purchase more machines in stations 1,, 2. Therefore, we took aproactive approach to buying machines and purchased a machine whenever utilization rates rose dangerously high or caused long queues. After resolving the lead-time issues, we used to switch back the contract to contract-3. Group Report 1: Capacity Management The following is an account of our Littlefield Technologies simulation game. Andres was forced to import product from French division as he ran out of capacity several times due to new machines performing inadequately. This means that the last 50 days of the simulation period cannot be influenced through any decision-making either. At s the end of this lifetime, demand will end abruptly and factory operations will be terminated. As day 7 and day 8 have 0 job arrivals, we used day 1-6 figures to calculate the average time for each station to process 1 batch of job arrivals. Preplan should include your strategy for the game and the analysis your group did to arrive at that strategy. Group Report 1: Capacity Management The following is an account of our Littlefield Technologies simulation game. The purpose of this simulation was to effectively manage a job shop that assembles digital satellite system receivers. PMC personnel are directly involved in combatant roles when the contract provides for the delivery of military capacities. 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. The focus of the investigation, the findings of which are presented in this essay, was on the implications for the governance of global politics of the growing role of private military companies (PMCs). 73 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. 24 hours. Machine stoppage data for the, One of our team members conducted a full operations analysis. 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. However, we observed, that the option-1 due to curved graph and decreasing inventory consumption would have left us with lesser inventory than the current levels. In March, April, and May will fire 4, 3, 3, employees respectively. In addition, Miltons regular supplier had hiked about the prices on the motors that he needed by 25%, while Markowitz had been able to find from a supplier overseas for 25% off temporarily to build customer base. 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. Managements main concern is managing the capacity of the factory in response to the complex demand pattern. 97 Learn about MBA programs, applying to them, and what life is like while in one and afterwards. when to order how much, and quoting for the contract lead-times. When the simulation first started we made a couple of adjustments and monitored the. In other words, we first needed to find daily average demand and match it to the Littlefield Labs system capacity. Private military companies, in contrast to traditional military contractors provide both direct military services and security services. demand lead-time and WIP. In order to process this increase in units, we bought 2 machines for station 1, 3 machines for station 2, and 2 machine for station 3. Do not sell or share my personal information, 1. Select Accept to consent or Reject to decline non-essential cookies for this use. Specifically, on day 0, the factory began operations with three stuffers, two testers, and one tuner, and a raw materials inventory of 9600 kits. Faculty can choose between two settings: a high-tech factory named Littlefield Technologies or a blood testing service named Littlefield Labs. 9. This study aims to contribute to the ongoing debate on behavioral operational research (BOR), specifically discussing the potential of system dynamics (SD) models to analyze decision-making, 5th International Conference on Higher Education Advances (HEAd'19), Game-based learning refers to the use of game thinking and mechanics to engage and motivate students in the learning process. To maintain this strategy, I will keep the costs that go into the products low. We found our calculations to be performing reasonable well during the initial phases of the simulation. Pharapreising and interpretation due to major educational standards released by a particular educational institution as well as tailored to your educational institution if different; 100% (5) 100% found this document useful (5 votes) 13K views. Jaimin Patel This essay was written by a fellow student. Littlefield Technologies is a factory simulator that allows students to compete with each other over the web while developing operations management skills. 4. However, the majority of business. At the same time, the queue in front of Station 2 was growing, which was odd as the machine was not completely utilized. 9, The best two options for the hospital to reach their goal in my opinion are, reducing the agency staff and changing the skill mix. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Once the priority was changed from FIFO to Step 4, the team noticed that both the utilization at Station 2 and the queues began to exhibit high variance from day to day. Littlefield Simulation . Based on initial management analyses, customer demand for this new product is expected to be random, but the average demand will be level over the products 268-day lifetime. Just talk to our smart assistant Amy and she'll connect you with the best $600. Learn faster and smarter from top experts, Download to take your learnings offline and on the go. to help you write a unique paper. We set up a spreadsheet to forecast demand ev In case you can't find a relevant example, our professional writers are ready UNSCOP recommended two solutions. 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. (Exhibit 2: Average time per batch of each station). This time, they would like your help with further lead time improvements and optimizing their inventory policy. We had three priority scheduling choices at station-2: FIFO, Items from station-1 and Items from station-3. The sales revenue decreased from 9 million to 6 million in 12 years and also they incurred operating losses. We made many mistakes, but most importantly we have learned from. On observing the 100% machine utilization at any given station for few consecutive days, we immediately added the new machines. This meant an increased level of production and increased pressure on machines; therefore naturally the breakdown of machines was increasing. We did not take any corrective measure to increase our profit margins early in the game. This product also is expected to have a 268-day lifetime. board Whenever we observed the delays in lead-time management and results, we used to switch back to contract-2; our safe option not to miss on the customers lead-time promise and hence not to lose the revenues. Unfortunately not, but my only advice is that if you don't know what you're doing, do as little as possible so at least you will stay relatively in the middle Overall results and rankings. 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. I have made a few errors but think I stabilized. Day | Parameter | Value | Total Section Retrieved from https://graduateway.com/littlefield-technologies-simulation-batch-sizes/, The Family Tradition of Making a Huge Batch of Ravioli as a Cultural Identity, Differentiating Between Market Structures Simulation. BLUEs: Following, we used regression analysis to forecast demand and machine productivity for the remaining of the simulation. Out of these five options, exponential smoothing with trend displayed the best values of MSE (2.3), MAD (1.17), and MAPE (48%). Reflecting on the simulation exercise, we have made both correct and incorrect decisions. From there we let the simulation run for another six days before lead times went down to less than 1, at which time we switched to contract 3. The decision making for the machines is typically based on the utilization of machines. 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We wanted machine 3 to never be idle and thus, kept the priority at 2. Doing this simulation review it will show just how to go about making these changes to save money. Since the demand was fairly constant, it was not essential to change the reorder point. Base on the average time taken to process 1 batch of job arrivals, we were able to figure out how Thundercats 54 | station 1 machine count | 2 | Littlefiled simulation game 1. Littlefield Technologies was developed by Sunil Kumar and . We had split the roles. As such, the first decision to be made involved inventory management and raw material ordering. 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