KATHMANDU UNIVERSITY SCHOOL OF MANAGEMENT Simulation Project Report Submitted to: Sabin Bikram Pant Assistant Professor‚ KUSOM Submitted by: Santosh Dahal (13109) Miran Maharjan (13114) Anu Shah (13128) Shiva Hari Subedi (13135) January 4‚ 2014 Table of Contents Chapter I ....................................................................................................................................................... 3 1.1 Background ...................................................
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For this simulation‚ I inherited a dairy farm from my parents and oversaw all mating decisions. I planned to use breeding values with strong correlations for production while regulating inbreeding. The main goal was “to breed a better cow that will maximize herd profitability.” Herd 19 was designated and used for net merit predicted transmitting ability. Herd 20 was selected for fat and protein percentages in my second session (Chittenden). In Simulation session one‚ I selected for milk PTA for
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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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Physics Name _______________________ Phet Solar System Simulation Lab Date ________ per _____ grp ____ Simulation open phet.colorado.edu ‚ play with sims ‚ Physics‚ Motion ‚ My solar System ‚ Run Now 1. Start What shape is the orbit of the planet ? ________________________________________________ Why does the “sun” wobble ? _____________________________________________________________ What is this principle called in Physics (Chap 6) ______________________________________________
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iBizSim: International Business Simulations: Management Report Industry 3 Company 2: Preset name (please change): Industry 3 Company 2 September 24‚ 2012 Period number 0 1. Company 1.1 Decisions with effect in this period Lean management Payment of dividends 1.2 Results Company fixed costs Total throughput time Single shift Double shift 1.3 Indices Lean management [accumulated value] 350‚000 Euro 600‚000 Euro 70‚000 Euro 2 % 40 days 25 days 2. Sales 2.1 Decisions with effect in this period
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Due to the break-up of the sensor production monopoly‚ Andrews has decided to take this opportunity to differentiate the company from its competitors by focusing our resources and expertise towards two market segments while still maintaining some presence in the three remaining segments. By focusing on just two categories we ensure that our resources are not spread too thin‚ while at the same time‚ ensuring that we are taking advantage of profits in all markets and not wasting the equipment and resources
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1. Per calcolare l’ideal spot considerando di avere il centro del segmento e la distanza dal centro dell’ideal spot: Center Offset Ideal Spot Pfmn : 3.0 - 0.8 = 2.2 Size : 17.0 0.8 = 17.8 2. Per calcolare la domanda dell’anno successivo: domanda corrente x (1+tasso di crescita) First Shift Capacity First and Second Shift Capacity Automation Level Company Found under "Capacity Next Round" Capacity Next Round x 2 (shifts) Found under "Automation Next Round" Industry Total the capacity of
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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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