Stanford University Graduate School of Business April 29‚ 2009 * * Managing a Short Product Life Cycle at Littlefield Labs Background In early January‚ Littlefield Labs (LL) opened its first and only highly automated lab to test blood samples. LL receives the samples from local hospitals and clinics and processes the samples using disposable kits. After 360 days of operation the lab will cease operations‚ shut down‚ and dispose of any remaining kit inventories. Neither capacity nor inventory has
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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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Overview and Objectives The game was held over a week and enabled us to increase our understanding of inventory management at the production stage in the supply chain. In this game‚ the objective was to accomplish production and delivery of the production within 3 days of lead time. Over the course of the game‚ we were to monitor the production numbers and make adjustments through the number of machines which we owned. Machines affected the revenues through the purchases and the goal was to obtain
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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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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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REVIEW OF THE LITERATURE BATCH COSTING INTRODUCTION Historically‚ because of the industrial background of cost accounting‚ specific order costing has tended to centre around the manufacturing environment. Given the developments both in cost accounting and performance evaluation over the last 20 years or so‚ cost accounting is now being applied in manufacturing‚ non manufacturing ‚ service and even in non profit making organizations. Cost Accounting is usually considered only as it applies to
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ittlefield Simulation #1: Capacity Management Team: Computronic When the simulation began‚ we quickly determined that there were three primary inputs to focus on: the forecast demand curve (job arrivals‚) machine utilization‚ and queue size prior to each station. Specifically we were looking for upward trends in job arrivals and queue sizes along with utilizations consistently hitting 100%. Upon initial analysis of the first fifty days of operations‚ the team noticed that Station 1 had reached
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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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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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ELEMENTS 1. STORY/PLOT A 1982 PHILIPPINE DRAMATIC FILM. THE MOVIE “AKO BATCH ‘81” IS ALL ABOUT THE LIVES OF SEVEN NEOPHYTES AS THEY STRIVE TO ENTER A GREEK LETTER FRATERNITY (ALPHA KAPPA OMEGA) THROUGH A DIFFICULT HAZING PROCESS. THE ENTIRE EXPERIENCE IS SEEN THROUGH THE EYES OF SID LUCERO –MED STIDENT (MARK GIL)‚ ONE OF THE NEOPHYTES. Directed by: MIKE DE LEON Produced by: MARICHU MACEDA Written by: CLODUALDO DEL MUNDO RACQUEL VILLAVICENCIO MIKE DE LEON
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