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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Module code: Supply Chain Management Responsible Lecturers: R. Nijland Degree Course: IBMS Theme: Supply Chain Management Quartiles: 2.3 & 2.4 ECTS: 3 Competencies: 5 Performance indicators 5.1‚ 5.2‚ 5.3 and 5.4 1. Relationship with the professional field In the professional field you must be able to make planning decisions within the area of production. Basic knowledge about resource related questions that require planning procedures should be
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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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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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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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The EOQ Inventory Formula James M. Cargal Mathematics Department Troy University – Montgomery Campus A basic problem for businesses and manufacturers is‚ when ordering supplies‚ to determine what quantity of a given item to order. A great deal of literature has dealt with this problem (unfortunately many of the best books on the subject are out of print). Many formulas and algorithms have been created. Of these the simplest formula is the most used: The EOQ (economic order quantity) or
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that will be discussed is the Economic Order Quantity (EOQ) model and the Just-in-time (JIT) model. First‚ the history and definition of the theories will be discussed. Secondly‚ there will be a comparison of these two models presented. Thirdly‚ organizations that employ the EOQ and JIT model will be discussed and an explanation will be given on how each organization benefited in their operations from using these particular models. The EOQ model is a mathematical model that minimizes the total
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be 8.3%. I find error in this calculation as a result of the following points of disagreement: a) Weighting of Capital Structure: Use of book values of capital rather than the market values b) Cost of Debt Calculation: Incorrect method for calculating debt c) Tax Rate: Use of a tax rate derived from the summation of state and statutory taxes instead of the firm’s marginal tax rate 2. Revised Calculation of WACC: WACC reflects the weighted average cost of the various sources of invested
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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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