April 8‚ 2013 Group Report 1: Capacity Management The following is an account of our Littlefield Technologies simulation game. The account includes the decisions we made‚ the actions we took‚ and their impact on production and the bottom line. Day 53 Our first decision was to buy a 2nd machine at Station 1. We did not have any analysis or strategy at this point. Nonetheless‚ this turned out to be a wise investment‚ since Station 1 was in danger of becoming a bottleneck in production
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Round 1 of Littlefield Technologies was quite different from round 2. We started the game with no real plan in mind unlike round 2 where we formulated multiple strategies throughout the duration of the game. Starting off we could right away see that an additional machine was required at station 2 to handle the dual processing load from station one and three. We purchased a machine for station 2 as soon as we gained control over the factory. Looking back now I can see that this could have been a risky
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capacity management - the meaning of capacity Introduction The capacity of a production unit (e.g. machine‚ factory) is its ability to produce or do that which the customer requires. In production and operations management‚ three types of capacity are often referred to: Potential Capacity | The capacity that can be made available to influence the planning of senior management (e.g. in helping them to make decisions about overall business growth‚ investment etc). This is essentially a long-term
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ca CAPACITY AND DEMAND MANAGEMENT Capacity can be defined as ‘the maximum level of value added activity over a period of time that the service process can achieve under normal operating conditions’. (Johnston and Clark‚ 2001) The essential task of capacity management is to look at the current performance of a service identify any bottle necks‚ understand the workload places on it and the underlying business drivers that may affects future traffic. The next task is to access the workload growth
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Little Field Technologies Capacity Management Game In the Capacity Management game‚ students can buy and sell machines at each of the three workstations. They can also change the way Station 2 (the testing station) is scheduled. They can choose first-in-first-out (FIFO)‚ give priority to step 2 or give priority to step 4. The purpose of this assignment is for students to utilize queuing concepts and forecasting methods to manage capacity. This game takes 7 days. In the simulation‚ customer demand
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Capacity Management Article Capacity management is used to manage a company’s information technology. The primary goal of capacity management is to make sure that the information technology capacity meets current and future business requirements in a cost-effective manner. Not all companies are familiar with capacity management but those that are familiar with the concept seem to be quite happy with the benefits it provides. One company that recently became familiar with the concept of capacity
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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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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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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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