Littlefield Labs 1 Capacity Management at Littlefield Labs I. Introduction There are 3 stations in the game called sample preparing‚ testing‚ and centrifuging‚ while there are 4 steps to process the jobs. Before the game started‚ we tried to familiarize with the process of the laboratories and calculating the costs (both fixed and variable costs) based on the information on the sheet given. We did not intend to buy any machines too early‚ as we wanted to see the demand fluctuation and the
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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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Littlefield Simulation1 Team Synergy discussed our strategy for the Littlefield Simulation. Following is the timeline summarizing the decisions we made and the justification for those decisions. Day 50 – Bought machine for Station 1 When we first evaluated our factory‚ we noticed from days 1 to 50‚ the bottleneck was mainly Station 1. Most days‚ however‚ we were able to make our $1000 revenue. Therefore‚ our team decided that buying another machine for Station 1 would help move the bottleneck
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LittleField (1) What was your initial strategy and how/why did you change your strategy during the game?. (2) Which concepts that you learned in this course did you apply in making your decisions? Explain. (3) What did you learn from the game? General Strategy Getting into the game our strategy was to identify the bottleneck in the process and maximize its utilization. We were aiming to balance our stock so a new stock will arrive every 4 days‚ and the current stock will not run out (but will get
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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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Stanford University Graduate School of Business rev. August 2004 Managing Customer Responsiveness at Littlefield Technologies Background Littlefield Technologies (LT) has developed another DSS product. 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. On day 0‚ the factory began operations with three stuffers‚
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Littlefield Technologies Game 2 Strategy – Group 28 1. CUSTOMER ORDERS AND ORDERS WAITING FOR MATERIAL: When considering the demand level and changes‚ we would configure a time series of that data using short range forecasting. Time series are important because they are often the drivers of decision models. Trend projection and regression analysis models will be used to forecast the future demand as the growth of the demand increases at a lower level‚ increases to a higher level‚ and then decreases
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MGT 9702 – SERVICE OPERATIONS I LITTLEFIELD TECHNOLOGIES – OVERVIEW Littlefield Technologies (LT) produces Digital Satellite System (DSS) 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 machines at these stations cost $90‚000‚ $80‚000
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many units as possible without delay. 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. This suggested that FIFO was a better strategy for Station 2‚ so the team switched the priority back at day 75. At day 88‚ the team noticed that utilization at Station 1 was more
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Production Planning and Inventory Control CTPT 310 Littlefield Simulation Executive Report Arlene Myers: 260299905 Rubing Mo: 260367907 Brent Devenne: 260339080 Miyaoka Scenario‚ Re: Littlefield Technology Simulation Game: Inventory Management Executive Summary At the onset of the game‚ we determined there were a few key things that had to be addressed to succeed. The first was to avoid stock outs which had already occurred in the first 50 days. We quickly moved to avoid stock outs
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