littlefield simulation 1 strategy

report, Littlefield Technologies Simulation: Batch Sizes Analysis. This is the breakdown of one such simulation., Unrestricted cash and Cash Equivalents /Cash Operation Expenses No. Team The new product is manufactured using the same process as the product in the assignment Capacity Management at Littlefield Technologies neither the process sequence nor the process time distributions at each tool have changed. Revenue 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. Using the analysis, demand for the 268 days of production was forecasted, and our strategy set accordingly., 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. Our goal is to function as a reciprocal interdependent team, using each members varied skills and time to complete tasks both well and on time. Figure 1: Day 1-50 Demand and Linear Regression Model The second Littlefield simulation game focused on lead time and inventory management in an environment with a changing demand (but the long-run average demand will not change over the products 268-day lifetime). Our strategy was to keep track of each machines capacity and the order queue. 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. 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. 2 | techwizard | 1,312,368 | In June we neither hire nor fire because our units of demand are covered. This article summarizes the nine contributions to the symposium on system dynamics. Littlefield Simulation is about running a factory for 360 days with the goal to maximize the cash position at end of this duration. Managing Customer Responsiveness We had explored few possibility of making good inventory decisions towards the day 305. The Israeli-Palestinian conflict has been one of the most important issues that the United Nations has focused on since its founding in 1945. 265 This proposal, when implemented, can save up to Rs. Supplemental understanding of the topic including revealing main issues described in the particular theme; 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. 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. Purpose. During the simulation start, we calculated our own economic order quantity (EOQ) and reorder points (ROP). Littlefield Technologies charges a premium and competes by promising to ship a receiver within 24 hours of receiving the order, or the customer will receive a rebate based on the delay. Littlefield Technologies and Littlefield Laboratories Littlefield is an online competitive simulation of a queueing network with an inventory point. Later, we were forced to add machines. Our team finished the simulation in 3rd place, posting $2,234,639 in cash at the end of the game. Part 1: Reasoning for Decisions I was mainly responsible for the inventory management. However, by that time, we had already lost huge revenues and the damage had been done. 1. ANSWER : Littlefield 1. I was mainly responsible for the inventory . The Littlefield Technologies management group hired Team A consulting firm to help analyze and improve the operational efficiency of their Digital Satellite Systems receivers manufacturing facility. My reasoning for using this strategy is that my products will be extremely useful and beneficial to its consumers; products like BIC and McDonalds are in extreme demand with the situation of todays economy. By Group 4: 5 | donothing | 588,054 | The company has been functioning well in terms of generating profit and demand so far. Good teamwork is the key. At the same time, the queue in front of Station 2 was growing, which was odd as the machine was not completely utilized. Select Accept to consent or Reject to decline non-essential cookies for this use. Management requires a 10% rate of return on its investments. Because all stations were at times operating at full, we knew that all would create a bottleneck if left to operate as is. 0 PLEASE DO NOT WAIT UNTIL THE FINAL SECONDS TO MAKE YOUR CHANGES. 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 Choose skilled expert on your subject and get original paper with free plagiarism At the end of this products lifetime, demand Lead Time Management at Littlefield Labs Thereafter we kept an active watch on lead-times and tried to resolve it through the intense team communication and proactive operations-management. 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. Littlefield Simulation Overview Presentation 15.760 Spring 2004 This presentation is based on: . What new decisions will you make regarding production levels and pricing for your Widget facility? 97 Free access to premium services like Tuneln, Mubi and more. Our revenue per day improved to 200 $/day. Interstate Manufacturing is considering either replacing one of its old machines with a new machine or having the old machine overhauled. . Borrowing from the Bank Overall results and rankings. 10000 Expert advisors know that demand will end abruptly on Day 268 and the lab will no longer be necessary. 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. As such, the first decision to be made involved inventory management and raw material ordering. Introduction Here are our learnings. On Fire . Page | 5 1.0 Introduction Littlefield Simulation is a game widely used in management courses that replicates a manufacturer's decision making mechanism. Littlefield Technologies is a factory simulator that allows students to compete with each other over the web while developing operations management skills. 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). Tap here to review the details. Barilla Spa: A case on Supply Chain Integration, Toyota Motor Manufacturing Inc - Case Study, Silvio Napoli at Schindler India-HBS Case Study, Forecasting Uncertainty - Obermeyer Case Study, Corporate Social Responsibility and Performance Management.docx, correctional facilities 1 Quality Nursing Writers.docx, correctional systems 1 Quality Nursing Writers.docx, Correctional unit 3 assignment Law homework help.docx, Corporate Governance and Alphabet Management Questions.docx, Corporate Social Responsibility Performance Article Analysis.docx, Corporate strategy Management homework help.docx, Correlating Data in Detection of Worms and Botnet Attacks Discussion.docx. 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. Registered address: Louki Akrita, 23 Bellapais Court, Flat/Office 46 1100, Nicosia, Cyprus And then we applied the knowledge we learned in the class, did process analysis and modified our strategies according to the performance results dynamically. REVENUE Return On Investment: 549% Tan Kok Wei Figure 1: Day 1-50 Demand and Linear Regression Model At the end of day 350, the factory will shut down and your final cash position will be determined. Littlefield Laboratories has opened a new blood testing lab. This enabled us to get even high revenues of 240 $ per day. The Niche Cost Leader Strategy puts the main focus on positioning a product at an affordable price while still presenting value to its customers. We wanted machine 3 to never be idle and thus, kept the priority at 2. 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. Project Andres was forced to import product from French division as he ran out of capacity several times due to new machines performing inadequately. Reflecting on the simulation exercise, we have made both correct and incorrect decisions. 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. Processing in Batches Littlefiled simulation game 1. Decisions Made Given the average demand and an order lead time of 4 days we were able to calculate an approximate reorder point. The decision for the customer contract is between three options. Initially we set the lot size to 3x20, attempting to take advantage of what we had learned from the goal about reducing the. 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. Operations Policies at investment in the machine. 25 submit it as your own as it will be considered plagiarism. Machine Purchase: "Eliminate Bottleneck, Minimize Q" 1) Day - 56: Purchase Board Stuffer @ Station 1 Bottleneck was Station #3. 5 PM on February 22 . A detailed data analysis and how the game progressed. 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. On day 97, we changed Station 2s scheduling rule to priority step 2. This left the factory with zero cash on hand. We had a better understanding of the operation of the littlefield facility and how certain modifications would affect the throughput and lead time. 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. Private military companies, in contrast to traditional military contractors provide both direct military services and security services. Cash Balance The case was given one day in advance. 6 | mas001 | 472,296 | We knew that the initial status quo was limited by the inventory quantity. 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. However, when . Upon initial analysis of the first fifty days of operations, the team noticed that Station 1 had reached 100% utilization several times between days 40 and 50. Simulation & Gaming. 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. We know from the text that Al Beck is running two eight hour shifts so the machines are running for a minimum of 16 hours per day. Because we hadnt bought a machine at station 1 we were able to buy, the one we really needed at station 3. 24 hours. Operations Policies at Littlefield | Should have bought earlier, probably around day 55 when the utilization hits 1 and the queue spiked up to 5 |, Our next move was to determine what machines need to be purchased and how many. Global negotiations to reduce greenhouse gas (GHG) emissions have so far failed to produce an agreement. ; and How would you use this in determining your business plan? Activate your 30 day free trialto unlock unlimited reading. Day 50 demand and 3. 1. They believe a more responsive laboratory will increase revenue and they understand well-balanced inventory policies ought to minimize costs. Another approach, which we could have followed for the decision-making could have been always decide the EOQ and ROP based on our demand-estimations and our own calculations. We had significant advantage because we had taken decisions e.g. This proved to be the most beneficial contract as, long as we made sure that we had the machines necessary to accommodate the, The first time our revenues dropped at all, we found that the capacity utilization at, station 2 was much higher than at any of the other stations. It is now nine months later, and Littlefield Technologies has developed another DSS product. on 54th day. Background You may use it as a guide or sample for 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. Day 53 Our first decision was to buy a 2nd machine at Station 1. This was met by opposition from the Arab population in Palestine and, as violence between the groups increased, the British were forced to turn the region over to the United Nations. 2, 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. 217 They want your team to look into why this is occurring, and hopefully remedy the situation. 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. Managements main concern is managing the capacity of the factory in response to the complex demand pattern. 129 However, if we fail to manage our operations to fulfill the promised lead-times, we do not receive any revenue at all. We did not have any analysis or strategy at this point. As demand began to rise we saw that capacity utilization was now highest at station 1. This added an overhead expense of approximately 2147 (Additional maintenance costs + Transfer costs). Customer Demand A huge spike, in demand caused a very large queue at station 3 and caused our revenues to drop, significantly. We knew that we needed to increase capacity and the decision was made to purchase another machine 1., In order for our strategy to be effective, our optimal timing for planned investments will be when demand is predicted to be high. ROI=Final Cash-Day 50 Cash-PP&E ExpenditurePP&E Expenditure 1,915,226-97,649-280,000280,000=549% 4 | beaters123 | 895,405 | 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. Research shows that learning and task performance improve when participants in management exercises understand the structure of the system they control. DAYS 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. This meant an increased level of production and increased pressure on machines; therefore naturally the breakdown of machines was increasing. 49 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. We bought additional machines at stations with high utilization rates in an attempt to relieve those bottlenecks. : Hence, we will increase our capacity levels where demand is forecasted to peak. Initially we set the lot size to 3x20, attempting to take advantage of w . Anteaus Rezba Clear role definitions avoid confusion and save time. Littlefield Technologies was developed by Sunil Kumar and . All rights reserved. A summary of the rationale behind the key decisions made would perhaps best explain the results we achieved. However, this space currently was leased to another company on a year-to-year basis and was generating annual rent of. 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. This suggested that FIFO was a better strategy for Station 2, so the team switched the priority back at day 75., 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. By whitelisting SlideShare on your ad-blocker, you are supporting our community of content creators. (Points: 30) |, The aim of this report is to provide an overview of businesses simulations through TOPSIM, a business management game that establishes a link between business management theory and business management in practice., The production capacity in my first 2 quarters was low but only because it was upcoming, The above table showing the total capacity per hour of each machine center was calculated by taking the number of machines and multiplying them by the run time per piece per minute.

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