Before the simulation started‚ our team created a trend forecast‚ using the first 50 days of data‚ showing us that the bottleneck station was at Station 1. On day 50 of the simulation‚ my team‚ 1teamsf‚ decided to buy a second machine to sustain our $1‚000 revenue per day and met our quoted lead time for producing and shipping receivers. On day 97‚ we changed Station 2’s scheduling rule to priority step 2. We noticed that the bottleneck was not just at station 1‚ but at all stations‚ and that buying
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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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Little Field simulation. It was up to that team member to locate our weaknesses within the simulation and to bring it up to the entire group. Once the group was notified of a change that needed to be made‚ we would all decide together through a group text. After we all decided that the change was a good idea‚ we would let the team member who was in charge for the day know and he made the appropriate changes to the station. This proved to be our success in running the simulation; all team members
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OFF THE cHAIN bIKES | Strategic Plan | Off The Chain Bikes Business Strategy | | Sean Miller‚ Joshlin Martinez‚ Catrina Phelps‚ and Feng Zhang | 4/6/2013 | At Off The Chain Bikes our mission is to be a profitable provider of high quality bicycles that provide value to our customers and create a company that can attract‚ recruit and retain smart and talented employees. Our vision is to be established as one of the top Bicycle Manufacturing companies in the country and provide innovative
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SIMULATION • WHAT is Simulation ? • WHY is Simulation required ? • HOW is Simulation applied ? • WHERE is Simulation used ? DEFINITION • Simulation is a representation of reality through the use of model or other device‚ which will react in the same manner as reality under a given set of conditions. • Simulation is the use of system model that has the designed characteristic of reality in order to produce the essence of actual operation. • According to Donald G. Malcolm‚ simulation
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Global Supply Chain Management Simulation Debrief Slides ©© Enspire Enspire Learning Learning and and Harvard Harvard Business Business School School (revised Dec 2010) 1 Board Members’ Objectives Member Objective Betty Forecasting: choice of options (consensus vs. mean) Doug Forecasting: choice of options (role of risk) Yvonne Stocking Levels: Weighing the costs of over/understocking Meryl Production flexibility: accurate response/ sourcing strategy (focus on flexibility) Paul Production
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A. The simulation model B. The number of patients treated every week and the waiting time for each patient | Number of patients treated | Waiting time for each patient (Min) | Outpatient department | 39 | 2465 | Inpatient department | 542 | 3616 | C. Some changes in the resource levels I. Each shift includes 2 admission secretaries | Number of patients treated | Waiting time for each patient (Min) | Outpatient department | 39 | 2515 | Inpatient department | 544
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This simulation game was developed by Sisk (1976). Basically‚ there are ten imaginary countries (Shima‚ Myna‚ Ila‚ Usa‚ Pam‚ Bonay‚ Shivey‚ Lani‚ Ranu and Bili) and each of these countries has three key elements to be considered: defense‚ resources and demography. The main purpose of this game‚ understanding the importance of negotiation and interdependence between countries. I would like to make some changes in the game for my class. Every student or group will choose their imaginary country.
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Operations Management: Process Analysis and Applications Module Changing Sources of Competitive Advantage Targeting Improvement: Operational Measures - Time T‚ Inventory I‚ Throughput rate R » Link through Little’s Law » Link to Financial Measures » Targeting improvement: CRU Computer Rentals Capacity and Flow Time Analysis » Pizza Pazza » Levers for Improvement Multi-product Capacity Management and Investment » Joint Marketing & Production Decisions » Optimal Capacity
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Market Structure Simulation Quasar Computers When industries are selling similar products this makes up market structure. I will be discussing economic profit that Quasar computer is able to make. The market structure is made of the following pure monopoly‚ pure competition‚ monopolistic competition‚ and oligopoly. In the simulation I learn about pricing and non pricing strategies and understanding the diverse market structure. Quasar put out a new first all-optical notebook that is called
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