Background In early January 2006, Littlefield Technologies (LT) opened its first and only factory to produce its newly developed Digital Satellite System (DSS) receivers. Littlefield Technologies mainly sells to retailers and small manufacturers using the DSS’s in more complex products. 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. The product lifetime
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LittleField In the LittleField Game 2, our team had to plan how to manage the capacity, scheduling, purchasing, and contract quotations to maximize the cash generated by the lab over its lifetime. We knew that our output was lower than demand right when Game 2 started. 1st stage, we knew there will be bottleneck at station 1 and 3 so additional machines must be purchased. We decided to purchase an additional machine for station 1 because it was $10,000 cheaper, utilization was higher here, and
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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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Strategy description Revenue maximization:Our strategy main for round one was to focus on maximizing revenue. We did not want the revenue to ever drop from $1000, so we took action based on the utilization rates of the machines. We needed to have sufficient capacity to maintain lead times of less than a day and at most, 1 day and 9 hours. Based on the linear decrease in revenue after a lead time of one day, it takes 9 hours for the revenue to drop to $600 and our profits to be $0. In terms of
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Stanford University Graduate School of Business rev. September 2002 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. The LT factory began production by investing most of its
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Background In early January 2006, Littlefield Technologies (LT) opened its first and only factory to produce its newly developed Digital Satellite System (DSS) receivers. Littlefield Technologies mainly sells to retailers and small manufacturers using the DSS’s in more complex products. 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. The product lifetime
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Littlefield Technologies Assignment 5 PM on February 22 . Starting at 5 PM on Wednesday, February 27, the simulation will begin The game will end at 9 PM on Sunday, March 3. Accessing your factory http://quick.responsive.net/lt/toronto3/entry.html Littlefield Technologies’ Operations board stuffing testing tuning Operations Policies at Littlefield Purchasing Supplies Processing in Batches Contract Pricing Borrowing from the Bank Cash Balance The winning team
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June 9, 2013 Section 2, Team 9 Managing Capacity and Lead Time at Littlefield Technologies – Team 9’s Summary The purpose of this simulation was to effectively manage a job shop that assembles digital satellite system receivers. The objective was to maximize cash at the end of the product life-cycle (270 days) by optimizing the process design. REVENUE 25000 20000 15000 10000 5000 1 9 17 25 33 41 49
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B6016 Managing Business Operations Report on Littlefield Technologies Simulation Exercise By Group 4: Anise Tan Qing Ye Aneel Gautam Chu Kar Hwa, Leonard Tan Kok Wei Ranking Reflecting on the simulation exercise, we have made both correct and incorrect decisions. Nevertheless, although we ranked 4th (Exhibit 1: OVERALL TEAM STANDING), we believe we gained a deeper understanding of queuing theory and have obtained invaluable experience from this exercise. Rank | Team | Cash
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ev ev Littlefield Simulation Report: Team A Ending Cash Balance: $1,915,226 (6th Place) Return On Investment: 549% ROI=Final Cash-Day 50 Cash-PP&E ExpenditurePP&E Expenditure→ 1,915,226-97,649-280,000280,000=549% Analysis of the First 50 Days 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. Upon the preliminary meeting with Littlefield
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