MANAGING CUSTOMER SIMULATION The customer simulation exercise of Minnesota Micromotors Inc‚ was a very intriguing one. It exposed me to a variety of moving pieces that enable a successful business performance across different objectives and parameters. The introductory note on the company and industry was helpful – in that it helped me to have a better understanding of the product and customer profile. This report also touched upon competition and growth prospects along with challenges. My overall
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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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Little Field 1 Report Paper Team Bigfield Michael Cambell Donovan Ricks Robert Sorum Van Sy I. Team Dynamics For the Little field 1 project our team‚ Bigfield‚ consisted of four people. First we have Michael Cambell‚ his number is 707-450-9523 and his email is: theonebras@aol.com. Next is Donovan Ricks‚ his number is 916-284-5028 and his email is: Donny.Rix_84@yahoo.com. Next is Robert Sorum‚ his number is 530-219-4173 and his email is: rtsorum@gmail.com. And
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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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Pizza Pazza » Levers for Improvement Multi-product Capacity Management and Investment » Joint Marketing & Production Decisions » Optimal Capacity Investment » National Cranberry Cooperative S. Chopra/Operations/Process Analysis & Apps 1 How can operations help a company compete? The changing sources of competitive advantage Low Cost & Scale Economies (< 1960s) – You can have any color you want as long as it is black Focused Factories (mid 1960s) Flexible
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SIMULATIONS AND RESULTS 5.1 Simulations For simulations‚ we have used ns-3 simulator which is a discrete event network simulator. We have used ns-3 for evaluation of our algorithm for random sensor node deployment scenarios to find the sinks locations for a particular sensor nodes deployment. We have considered a 4x4 square grid wireless sensor network‚ where sinks and sensor nodes both are static. Locations of the sinks are deterministically placed. Locations of our sinks are taken from our deterministic
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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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Successfully Submitted their Answers in Activity 1 @ Google Docs: 1. Estoris 2. Talha 3. Canillo 4. Fajardo 5. Bonilla 6. Simpron 7. Cornilla 8. Atoz 9. Rafisura 10. Obeso 11. Caparoso 12. Bolipata 13. Magbanua 14. Baay 15. Orag 16. Bansale 17. Tecson 18. Balane 19. Arcojada 20. Singson 21. Talha 22. Padayogdog 23. Sarausa > 1. List down all the technological tools/ concepts that
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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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