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. We ended up with a total of 6 machines at station one, which allowed two orders to be simultaneously worked on with a batch of 3 x 20. As our utilization was remaining at a constant 100%, our lead times were also increasing. Station 2 never required another machine throughout the, simulation. 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. 100% (5) 100% found this document useful (5 votes) 13K views. 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. Day 50
This article summarizes the nine contributions to the symposium on system dynamics. after what period of time does revenue taper off in Simulation 1. We did intuitive analysis initially and came up the strategy at the beginning of the game. 209
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. While selling capacity was the correct financial decision to combat our emergency loan, we were then left with stock outs in all of our product lines. Lastly we chose the right contract among our 3 options to maximize the profits according to daily average job lead-time. Cash Balance
after how many hours do revenues hit $0 in simulation 1. 3 | makebigmoney | 1,141,686 |
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. 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. We wanted our inventory to drop close to zero to minimize overall holding costs, but never actually reach zero.
Has anyone done the Littlefield simulation? I'm messing up - reddit . Section
We nearly bought a machine there, but this would have been a mistake. PMCs are different from traditional military contractors, which more often than not are referred to as defense contractors. Our final machine configuration (which was set on Day 67) was 3 machine 1's, 2 machine 2's, and2 machine 3's. 161
Exhibit 1 : OVERALL TEAM STANDING
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. 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. As soon as we noticed our lead times drop sufficiently enough for a new contract, we upgraded immediately. In early January 2006, Littlefield Technologies (LT) opened its first and only factory to produce its newly developed Digital Satellite System (DSS) receivers. 5000
This left the factory with zero cash on hand. This proposal, when implemented, can save up to Rs. 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. Delays resulting from insufficient capacity undermine LTs promised lead times and ultimately force LT to turn away orders. We set up a spreadsheet to forecast demand ev
TIA. 169
Other solution was to set the EOQ and the reorder points close to the initial simulation starting levels.
9,033,750 of operational costs per year, without resorting to any radical changes that impact the continuous operations at the plant. Littlefield Simulation Solutions and analytical decisons made. The logic behind this decision was to complete as many units as possible without delay. 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. 2 | techwizard | 1,312,368 |
Eventually, demand should begin to decline at a roughly linear rate. Later, we were forced to add machines.
Can you please suggest a winning strategy. Start decision making early. 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. 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. 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. s
We had split the roles. One focus of ours during this simulation was minimizing the cost of inventory orders and stock outs. Serious games offer.
Interstate Manufacturing is considering either replacing one of its old machines with a new machine or having the old machine overhauled. 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. Faculty can choose between two settings: a high-tech factory named Littlefield Technologies or a blood testing service named Littlefield Labs.
The decision making for the machines is typically based on the utilization of machines. 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. Our goal was to buy additional machines whenever a station reached about 80% of capacity. Starting at 5 PM on Wednesday, February 27, the simulation will begin The game will end at 9 PM on Sunday, March 3. I then multiplied that by the obvious 60 minutes per hour to determine the output from each machine center each hour. Current State of the System and Your Assignment
Hence, we will increase our capacity levels where demand is forecasted to peak. 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. Select Accept to consent or Reject to decline non-essential cookies for this use. ROI=Final Cash-Day 50 Cash-PP&E ExpenditurePP&E Expenditure 1,915,226-97,649-280,000280,000=549%
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). We debated whether or not these few exceptions we okay to ignore. The decisions to be made are regarding buying or selling machines, setting inventory policies i.e. Day | Parameter | Value |
185
97
When the machine-count at station-1 reached seven, we were hesitant to add further machines despite heavy utilization. Our strategy was to get lead times down below .5 days and offer customers that lead time to maximize revenue.
Winning Strategy for the /ittlefield Simulation *ame (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. 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. View Assessment - Littlefield_1_(1).pptx from MS&E 268 at Stanford University. 6 | mas001 | 472,296 |
Dont This weeks key learning areas have been eye opening and worthwhile. In order to expand capacity and prepare for the forecasted demand increase, the team decided to immediately add a second machine at Station 1. This meant that machine 1 was not able to keep up with the incoming demand and lacked the proper capacity. 225
| 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. Day 53 Our first decision was to buy a 2nd machine at Station 1. 177
Littlefield Simulation Wonderful Creators 386 subscribers 67K views 4 years ago This is a tour to understand the concepts of LittleField simulation game. Leena Alex
The Israeli-Palestinian conflict has been one of the most important issues that the United Nations has focused on since its founding in 1945. 9. BLUEs: I have made a few errors but think I stabilized.
Littlefield Technologies Simulation: Batch Sizes Analysis - GraduateWay 193
Anise Tan Qing Ye
Thus we decided to change the most pressing variable, inventory, and see where it went from there. When the exercise started, we decided that when the lead time hit 1 day, we would buy one station 1 machine based on our analysis that station 1 takes the longest time which is 0.221 hrs simulation time per batch. We bought additional machines at stations with high utilization rates in an attempt to relieve those bottlenecks. However, the majority of business. In the Littlefield Simulation it would have been better on Day 51 to switch to the order quantity as recommended by the EOQ framework in order to minimize costs. Capacity Management at Littlefield Technologies
15000
The SlideShare family just got bigger. Project The case was given one day in advance. Background
1 Littlefield Labs Simulation Professor: Ioannis (Yannis) Bellos Course: MBA 638 School of Business Information Systems . 2013
As explained on in chapter 124, we used the following formula: y = a + b*x. 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. 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. 9
match. What new decisions will you make regarding production levels and pricing for your Widget facility? 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. 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. Management is concerned about this outcome. The profit parameter was considered as an average. 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. 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. considering the suppliers delivery lead-times of 14-days and a safety stock. 1
regarding contract management and machine additions quite early, e.g. In the final simulation, we corrected our mistakes. 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. Clipping is a handy way to collect important slides you want to go back to later. 233
Expert advisors know that demand will end abruptly on Day 268 and the lab will no longer be necessary. 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. 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. 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. In Littlefield, total operational costs are comprised of raw material costs, ordering costs and holding costs. ; What are the lowest percentage mark-up items? 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. Machine configuration:
at Littlefield Technologies Spring 2007(
Management would like to increase revenue and decrease costs. Create an account to follow your favorite communities and start taking part in conversations. In other words, we first needed to find daily average demand and match it to the Littlefield Labs system capacity. Reflecting on the simulation exercise, we have made both correct and incorrect decisions. 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. 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. 5
and
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At this point our orders we getting out on time with few exceptions. While focusing on immediate goals keeping long term goals in mind is also important. Pre-production market research suggested that the average daily demand level would be somewhere between 10 orders/day and 14 orders/day. requirements? 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. Good teamwork is the key. Littlefield Simulation is about running a factory for 360 days with the goal to maximize the cash position at end of this duration. for EOP and ROP. We will calculate costs associated with running a production facility. By continuing well
Team
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. Uploaded by zilikos. 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. SOMETIMES THEY TAKE A FEW MINUTES TO BE PROCESSED. Copyright 2023 service.graduateway.com. 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. 20
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. Whenever revenues reduced, we use to change the scheduling and observe if the revenue problem is resolved. 121
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. Our initial contract situation was contract-1, which provided a revenue of 175 $/day. Lt Game 2 Strategy. Littlefield Technologies mainly sells to retailers and small manufacturers using the DSSs in more complex products. Few teams, who took their time to figure out the information, to develop strategies and to make decision during the simulation made their first decisions very late (>100th day). lead-time and WIP. to help you write a unique paper. 241
In November we hire 7 employees due to the increase of Holiday sales, and in December we hire 6 employees. PMC personnel are directly involved in combatant roles when the contract provides for the delivery of military capacities. 1. 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. 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. Our team finished the simulation in 3rd place, posting $2,234,639 in cash at the end of the game. 217
Our revenue per day improved to 200 $/day.
LittlefieldPaper1026.pdf - Winning Strategy for the Littlefield 4 pages.
However, observed 100% Utilization at Station #1 with the 17x more queued kits. Do you feel that the Bearington plant has the right equipment and technology to do the job? 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. This time, they would like your help with further lead time improvements and optimizing their inventory policy. Littlefield Simulation Overview Presentation 15.760 Spring 2004 This presentation is based on: . Correct writing styles (it is advised to use correct citations) Page | 5 1.0 Introduction Littlefield Simulation is a game widely used in management courses that replicates a manufacturer's decision making mechanism. These key areas will be discussed throughout the journal to express my understanding of the experience. Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. Background
This helped us do well in our simulations. Features Bring operations to life with the market-leading operations management simulation used by hundreds of thousands! We found our calculations to be performing reasonable well during the initial phases of the simulation. The first was that the area be implications of the growing role of private military companies (PMCs) for governing global politics This meant that machine 1 was not able to keep up with the incoming demand and lacked the proper capacity.
Preparation is necessary to have an advantage. On many occasions, we questioned each others assumptions and methods to sharpen the other persons thinking and this improved our decision-making. We were very eager to outperform our competition and we almost did so, but ended up in second place again with a cash balance of $2,660,393. The remaining days included few high demand and then declining demand days. Base on the average time taken to process 1 batch of job arrivals, we were able to figure out how Thundercats Anteaus Rezba
Moreover, my research reveals that just by reducing 10% of the current workforce and decreasing the wheel loader system from 10 to 9 would allow us to reach above projected savings. board
Customer Demand
This enabled us to get even high revenues of 240 $ per day. In September we fire 4 employees and October we fire 2 employees cutting our labor cost, but still reaching our unit demand. 20000
We did intuitive analysis initially and came up the strategy at the beginning of the game. It has been successfully used at the graduate and undergraduate level by thousands of students at more than a dozen universities. Operations Policies at Littlefield
They have purchased the recommended machinery, but are not entirely pleased with the lead time performance. 105
The account includes the decisions we made, the actions we took, and their impact on production and the bottom line. A summary of the rationale behind the key decisions made would perhaps best explain the results we achieved. November 4th, 2014 . However, when .
24 hours.
Just talk to our smart assistant Amy and she'll connect you with the best 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. Overall I felt the Littlefield simulation to be an interesting cost leadership exercise with strong focus on the operations management. It appears that you have an ad-blocker running. In this simulation we decided to take the message of The Goal and apply it as fast as we could. 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. Check out my presentation for Reorder. According to the, If I can play this game again, the most part of plan can same as before. 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.
By doing this, we could produce all incoming kits with a priority enabling an even flow of kits to Station 3. This meant an increased level of production and increased pressure on machines; therefore naturally the breakdown of machines was increasing. Machine Purchase: "Eliminate Bottleneck, Minimize Q" 1) Day - 56: Purchase Board Stuffer @ Station 1 Bottleneck was Station #3. 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. We also changed the priority of station 2 from FIFO to step 4. One solution was that we should let the inventory run out and not reorder anything. After resolving the lead-time issues, we used to switch back the contract to contract-3. cost for each test kit in Simulation 1 &2. Thanks. Our team operated and managed the Littlefield Technologies facility over the span of 1268 simulated days. Ranking
The United Nations has served as a platform for discussion about this conflict and has been used as a mediator between the opposing groups as a peaceful resolution to the issues is sought. 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. Ketaki Gangal. However, to reduce holding costs and ordering costs t [ As our contracts changed, our lead times changed the problem of inventory reorder points ] After we signed to contract 3, we made few changes to the factory. 4. Littlefield Simulation 2: Occupylittlefield With our second littlefield simulation complete, we have reinforced many of the concepts and lessons learned in class. us: [emailprotected]. To give students a peak into some of these financial decisions, online simulations are used. A linear regression of the day 50 data resulted in the data shown on Table 1 (attached)below. The LT factory began production by investing most of its cash into capacity and inventory. 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. 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. 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. We had intense debate in the team, whether to add new machines further or not. By doing so, the labor costs are significantly reduced and the unit demand will be covered. demand
2. Although reputation and meeting goals is important, I must pay attention to the machines that are causing bottleneck issues; performing a cost/benefit analysis can fulfill this. We were interested in allocating the money towards marketing as opposed to production. I will explain as to why I choose what I did in this paper., Comparing the difference between the production volume variance of the first and second half of the year, we noticed that during the second term, it is more favorable than the first term. 4 | beaters123 | 895,405 |
Though we are pleased with our final results compared to the rest of the class, we see there is still room for improvement. Closer to Day 50, shop floor space constraints are limiting the number of jobs being accepted into the factory. Return On Investment: 549%
Global negotiations to reduce greenhouse gas (GHG) emissions have so far failed to produce an agreement. 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.