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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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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The first table and figure shows the result for the first experiment involving the measurement of lung volumes and capacities. Results from this particular experiment may deviate from the predicted values obtained using the Goldman and Becklake equations for Pulmonary function if the individual tested has a habit of smoking which could lead to a drop in functional residual capacity. The natural recoil of the lung is also evident in figure 1. During natural inspiration‚ the volume of air increases
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amount of energy necessary to heat a certain amount of water by one degree is different than that of another liquid or substance. The technical term used to determine this characteristic is called heat capacity or specific heat capacity. The purpose of this experiment is to find the heat capacity of water‚ orange juice‚ and olive oil. A couple of very specific equipment is needed in order to complete this experiment‚ such as: a calorimeter‚ a multimeter‚ a 6V battery and alligator clips. One interesting
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Aim: i) To find the relationship between supplied energy and change in temperature of water. ii) To find the specific heat capacity (SHC) of water. Hypothesis: As time increases so does the temperature since the water is exposed to the heated wire for a longer period of time. Variables: The Dependent Variable is the temperature of the water‚ and since the Energy is calculated using temperature it is a dependent variable as well. The constant variables are the voltage and current. Theory:
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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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Production Capacity It is highly imperative that management must formulate a strategic plan for operations before any production is carried out. This is basically important in avoiding possible hindrances and excess in capacity. Under capacity may force the firm to cancel production schedules or excess can be fatal due to a broadened fixed cost. Both really would be a financial burden to the firm. Some procedural strategy can be adopted to minimize ill effects of capacity-related problems
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MA4850 – SUPPLY CHAIN AND LOGISTICS MANAGEMENT Littlefield Technologies Report Littlefield Technologies is a job shop which assembles Digital Satellite System receivers. The assembly process is carried out at 3 stations via a four step processes. Station 1 is board stuffing station whereby the first step is executed. The first step consists of mounting the components onto PC Boards and soldering them. The digital components are then briefly tested at the testing station which is station 2 in the
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Managing Customer Responsiveness at Littlefield Labs Background Littlefield Laboratories (LL) has opened another lab. The new lab uses the same process as the lab in the assignment “Capacity Management at Littlefield Labs” — neither the process sequence nor the process time distributions at each machine have changed. On day 0‚ the lab began operations with three preparers‚ one tester‚ and one centrifuge‚ and an inventory of 160 test kits. This left the lab with $1‚000‚000 in reserves. Customer
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Executive Summary Our team operated and managed the Littlefield Technologies facility over the span of 1268 simulated days. Our team finished the simulation in 3rd place‚ posting $2‚234‚639 in cash at the end of the game. We did intuitive analysis initially and came up the strategy at the beginning of the game. And then we applied the knowledge we learned in the class‚ did process analysis and modified our strategies according to the performance results dynamically. We have reinforced many of the
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