Littlefield Simulation Write-up December 7‚ 2011 Operations Management 502 Team 9 Littlefield Lab We began our analysis by searching for bottlenecks that existed in the current system. It was easily identified that major issues existed in the ordering process. Without calculations‚ you could tell the reorder point was too low since the historical plots showed inventory levels at zero for two or more days at a time. The number of jobs in customer orders showed correlating spikes at the same
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Stanford University Graduate School of Business September 2007 Littlefield Technologies: Overview Introduction Littlefield Technologies is a job shop which assembles Digital Satellite System receivers. These receivers are assembled from kits of electronic components procured from a single supplier. The assembly process consists of four steps carried out at 3 stations called board stuffing‚ testing and tuning. The first step consists of mounting the components onto PC Boards and soldering
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Little Field 1 Report Paper Team Bigfield Michael Cambell Donovan Ricks Robert Sorum Van Sy I. Team Dynamics For the Little field 1 project our team‚ Bigfield‚ consisted of four people. First we have Michael Cambell‚ his number is 707-450-9523 and his email is: theonebras@aol.com. Next is Donovan Ricks‚ his number is 916-284-5028 and his email is: Donny.Rix_84@yahoo.com. Next is Robert Sorum‚ his number is 530-219-4173 and his email is: rtsorum@gmail.com. And
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------------------------------------------------- SIMULATION REPORT The objective of the project was to trade on a Market Simulation “STOCK TRACK”‚ from 2/13 to 4/20. We were supposed to try to trade different types of instruments in order to gain more knowledge about they are trade in the real world; and how a strategy which seems good can be overturned by the market circumstances. During this period as a conservative‚ I tried to trade less risky instruments. The qualities that I used to
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late penalty. For example at Day 50‚ before the game started‚ we observed that machine 1 was running at 100% utilization for a few days before‚ and we predicted a bottleneck situation would occur here. Therefore we decided to purchase an additional machine immediately as the game started so as to allow continuous processing of lots to meet the demand and prevent losses in revenue. After purchasing additional machine 1‚ we continued observing the utilization of the machine. We were careful not to buy
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SIMULATIONS AND RESULTS 5.1 Simulations For simulations‚ we have used ns-3 simulator which is a discrete event network simulator. We have used ns-3 for evaluation of our algorithm for random sensor node deployment scenarios to find the sinks locations for a particular sensor nodes deployment. We have considered a 4x4 square grid wireless sensor network‚ where sinks and sensor nodes both are static. Locations of the sinks are deterministically placed. Locations of our sinks are taken from our deterministic
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WORKING CAPITAL SIMULATION: MANAGING GROWTH CASE OVERVIEW Sunflower Nutraceuticals (SNC)‚ is a privately held nutraceuticals – a wide distributor which provides all the vital dietary supplements such as herbs for women’s‚ vitamins‚ and minerals for all the consumers (mainly women’s)‚ distributors and retailers. They are struggling to break even‚ with relatively flat annual sales growth and thin margins. SNC generates $ 10 million in revenues and holds a large selection of SKU’s
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Title of Report in Initial Capital Letters: Times New Roman (24 point‚ Boldface) and No more Than Three Lines Your Name Name of Your Department Southern Polytechnic State University Date Title of Report in Initial Capital Letters: Times New Roman (18 points‚ Boldface) and No More Than Three Lines Your Name Name of Your Department Southern Polytechnic State University Date Summary All reports should include a one- or two-paragraph summary. This summary
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INTRODUCTION This report is based on the business game we played on footwear industry. Whilst the task set for this group business game is strategic in nature and obviously requires the team‚ a variety of strategical knowledge. It is my experience that there are several other areas of expertise equally important. A large amount of time and effort throughout this game has been spent on team-working - organising the team‚ processing and collating the vast amount of information that it created‚
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Littlefield Simulation II Based on our success in the last Littlefield Simulation‚ we tried to utilize the same strategy as last time. 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. We wanted to keep the lead time between .5 and 1 day in order to get the maximum amount of revenue per job. We utilized data from the first 50 days and put it in an Excel chart to forecast the demand for the
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