Search results “Simulation modeling and analysis law”

Includes,
- types of simulation models (monte carlo simulation, operational gaming, systems simulation)
- inventory analysis using simulation
- calculation of stockout cost and holding cost

Views: 51843
Bharatendra Rai

Simulation models often have many input factors and determining which ones are really important can be quite difficult. In this SimCast, Dr. Averill M. Law, President of Averill M. Law & Associates provides a brief introduction to design of experiments for simulation modeling.

Views: 1643
ExtendSim Simulation Tools

An important, but often neglected, part of any sound simulation study is that of modeling each source of system randomness by an appropriate probability distribution. In this Simulation Master Class, Dr. Averill M. Law of Averill M. Law & Associates first gives examples of data sets from real-world simulation studies, followed by a discussion of two critical pitfalls in simulation input modeling. The two major methods for modeling a source of randomness when corresponding data are available are delineated, namely, fitting a theoretical probability distribution to the data and the use of an empirical distribution. Finally, there is a discussion of how to model a source of system randomness when no data exists.

Views: 884
ExtendSim Simulation Tools

Lecture series on Advanced Operations Research by Prof. G.Srinivasan, Department of Management Studies, IIT Madras. For more details on NPTEL visit http://nptel.ac.in

Views: 401683
nptelhrd

Views: 119806
Ahmed Adel

http://www.integratedsoft.com/ LORENTZ v7.0 - Child's Law Simulation Model Setup in LORENTZ Software.

Views: 539
INTEGRATED Engineering Software

Little's Law is a very simple concept that will help you gain control over your system. Mastering this concept will arm you with ONE thing that will improve your process and it doesn't cost a dime.
Learn more by using and applying the Theory of Constraints and Lean Manufacturing Principles in only 6 months, Pinnacle Strategies helped the Company in Charge of Cleaning Up the 2010 Oil Spill in the Gulf of Mexico; Doubling the Supply of Skimmers, Boom and Other Critical Resources, and in Doing So Saved More Than $700 Million. Get your copy here http://amzn.to/1IEd5VP.

Views: 75420
Pinnacle Strategies

Introduction to modeling mechanical systems from first principles. In particular, systems with inertia, stiffness, and damping are modeled by applying Newton's 2nd Law. Translational and rotational systems are discussed.

Views: 136262
Rick Hill

http://www.integratedsoft.com/ LORENTZ v7.0 - Child's Law Simulation Model Analysis in LORENTZ Software.

Views: 203
INTEGRATED Engineering Software

Views: 22464
Cx Simulations

Learn more: https://www.simscale.com/thermal-simulation-workshop/
In this session, the three basic heat transfer mechanisms will be explained: Conduction, Convection, and Radiation. We will use 3 simple example simulations to better understand the influencing factors in a heat transfer process. We’ll then use this basic understanding to run a thermal analysis of a CFL to see how thermal simulation works for real-world problems.
(6:45) About SimScale
(14:40) Understanding three heat transfer phenomena
(14:51) Conduction
(17:36) Convection
(19:58) Radiation
(22:02) General thermal simulation types
(26:58) Live presentation on the SimScale platform
(50:37) Analyzing results
Heat transfer is an important characteristic of many products across a variety of different industries. The SimScale Thermal Analysis Workshop is a free course that teaches mechanical designers and engineers how to use thermal simulation in the web browser for optimizing cooling and heating processes for improved energy efficiency and durability.
During the workshop you will:
- Learn the fundamentals of thermal analysis for modern product design
- Expand the knowledge based on practical examples of conduction, convection and radiation simulations
- Learn how simulation can help you to make better design decisions faster
- Get a chance to apply the learning and knowledge into practice by repeating the simulation yourself
Session 1: https://youtu.be/ao3KrVf790w
Session 2: https://youtu.be/5zp4FOplmfQ
Session 3: https://youtu.be/hKB-mlp6kpk
SimScale is a 100% cloud-based simulation platform. Try CFD, FEA or Thermal Analysis by creating a free account: https://www.simscale.com/

Views: 7159
SimScale GmbH

Here is the Video about Critical Path Method (CPM) in Operations
research, I have given the necessary theory explanation with Solved problem, Pls watch the complete video to understand the CPM concept, Hope this video will help you to understand in a simple way.
Video for PERT - https://youtu.be/WrAf6zdteXI
To watch more tutorials pls visit: www.youtube.com/c/kauserwise
* Financial Accounts
* Corporate accounts
* Cost and Management accounts
* Operations Research
* Statistics
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If you like this video and wish to support this kauserwise channel, please contribute via,
* Paytm a/c : 6383617203
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Email: [email protected] ]
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What is CPM in operations research
How to construct CPM network?
What is Project management - cpm?
What is forward pass and backward pass in CPM?
What is Earliest time and latest completion time?
How to find Free floats and total floats?

Views: 1536094
Kauser Wise

Step by step analysis of a small problem.

Views: 33294
Prof. Bussom - Widener University

Thanks to all of you who support me on Patreon. You da real mvps! $1 per month helps!! :) https://www.patreon.com/patrickjmt !! Part 2: http://www.youtube.com/watch?v=jtHBfLtMq4U
In this video, I discuss Markov Chains, although I never quite give a definition as the video cuts off! However, I finish off the discussion in another video!
This video gives a 'real life' problem as some motivation and intuition, as well as introduces a bit of terminology.

Views: 566618
patrickJMT

Learn how to model porous media flow and chemical reaction in COMSOL Multiphysics. A catalytic bed reactor with an injection needle is simulated and improved upon, using the Reacting Flow in Porous Media, Transport of Diluted Species interface included in the Chemical Reaction Engineering Module.
Additional Resources:
• Model used in the video: Porous Reactor with Injection Needle – http://www.comsol.com/model/porous-reactor-with-injection-needle-25
• Software used in the video: Chemical Reaction Engineering Module – http://www.comsol.com/chemical-reaction-engineering-module
• Paper: Reduction Stage During Copper Refinement in a Packed Bed Reactor – http://www.comsol.com/paper/modeling-of-the-reduction-stage-during-the-continuous-refining-of-copper-in-a-pa-13065
• Model: NOx Reduction in a Monolithic Reactor – http://www.comsol.com/model/nox-reduction-in-a-monolithic-reactor-10194

Views: 77943
COMSOL

Watch Part 2 on Vsauce 3: https://www.youtube.com/watch?v=3d9i_0Ty7Cg
Kurzgesagt Newsletter: http://eepurl.com/cRUQxz
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THANKS A LOT TO OUR LOVELY PATRONS FOR SUPPORTING US:
vladimir šebez, Nicholas Evers, David Hirsch, Misko Giboreau, Friedrich Reider, Christian Massold, Björn Keßel, Ron Leonard, Johann Goergen, Tonina Zhelyazkova, Tony Nitowski, Geoffrey Major, William Bonwitt, Arslan Ablikim, James Tran, JP Hastings-Spital, Michael Shi, Anni Gill, Cymon Carlisle, bob smith, Jonathan Brunette, George Murray, John, Bryan Lawlor, Bjarne Kohnke, Christopher Isar, Renee Undrits, Joshua Hardin, Diego, Maggs, Akram Jamal-Allail, shoftee, Dattu Patel, Josh Heri, Christopher Dein DeltaNutmeg, Julian Hartline, Jesper Sølvsten, Adam Thompson, Amadon Faul, Ben Spicer, Dan-Dumitru Donici, Kaushik Narasimhan, Dennis Kok, Carlo Fajardo, Zaneksy, Rami Najjar, Rik Muschamp, César Rdez, David Marsden, Klasoweit, Gabrielle Gendron-Lepage, Nicholas, Nathan Dietrich, Manolo Calderon, Gil Nemesh, Caleb, Karthik Sekar, Jean-Francois Blain, Travis Harger, Jose Zamora, Danilo Metzger, Olle Karlberg, TJ, Patrick Hart, SCPNostalgia, Devin, David Oxley, Andy Hill, Maxime Cony, Vjenceslav, Neil Mukhopadhyay, Cory Bosse, Kara M., Dogydogsun, Andy Zeng, Angela Flierman, Tyler Alden, Klaus Prünster, Alex Boyd, Diana Martínez, Danny Fast, Bryce Watson, Chan Maneesilasan, Johanna Lind, Orphansmith, 彥霖 陳, Emanuel Hafner, James Dominguez, Kevin Hackbarth, Pablo Pagano, Liam Quin, Dan Rossiter, James Phan, Leon Klang, Romain Isnel, Anthony Eales, Freebite, Logan Rankin, Udi Eylat
Help us caption & translate this video!
http://www.youtube.com/timedtext_cs_panel?c=UCsXVk37bltHxD1rDPwtNM8Q&tab=2

Views: 9132435
Kurzgesagt – In a Nutshell

Process Control and Instrumentation by Prof.A.K.Jana,prof.D.Sarkar Department of Chemical Engineering,IIT Kharagpur. For more details on NPTEL visit http://nptel.iitm.ac.in

Views: 96371
nptelhrd

Principles of Engineering System Design by Dr. T Asokan,Department of Engineering Design,IIT Madras.For more details on NPTEL visit http://nptel.ac.in

Views: 40909
nptelhrd

This lesson introduces the queue model template. It first looks at the M/M/s model. We then explore an example scenario where we need to find the optimal number of servers for a company. In doing so, we develop a one-way data table to analyze cost. We then introduce the M/D/1 model. Using the M/D/1 model we explore a business’s recapitalization decision. In analyzing this decision, we utilize Excel’s built in what-if analysis and construct a two-way data table.
https://ericjjesse.wordpress.com/course-introduction/queues/

Views: 19010
Eric Jesse

MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016
View the complete course: http://ocw.mit.edu/6-0002F16
Instructor: John Guttag
Prof. Guttag discusses the Monte Carlo simulation, Roulette
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu

Views: 420200
MIT OpenCourseWare

MIT 2.003SC Engineering Dynamics, Fall 2011
View the complete course: http://ocw.mit.edu/2-003SCF11
Instructor: J. Kim Vandiver
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu

Views: 119402
MIT OpenCourseWare

MIT 18.S096 Topics in Mathematics with Applications in Finance, Fall 2013
View the complete course: http://ocw.mit.edu/18-S096F13
Instructor: Choongbum Lee
*NOTE: Lecture 4 was not recorded.
This lecture introduces stochastic processes, including random walks and Markov chains.
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu

Views: 262204
MIT OpenCourseWare

Introduction to Stability and to State Space. Visualization of why real components of all eigenvalues must be negative for a system to be stable. My Patreon page is at https://www.patreon.com/EugeneK

Views: 42382
Physics Videos by Eugene Khutoryansky

Free MATLAB Trial: https://goo.gl/yXuXnS
Request a Quote: https://goo.gl/wNKDSg
Contact Us: https://goo.gl/RjJAkE
Learn more about MATLAB: https://goo.gl/8QV7ZZ
Learn more about Simulink: https://goo.gl/nqnbLe
-------------------------------------------------------------------------
Explore Simulink, an environment for multidomain simulation and Model-Based Design for dynamic and embedded systems. Through product demonstrations, you will see a high-level overview of the major capabilities and how you can use Simulink to design, simulate, implement, and test a variety of time-varying systems, including communications, controls, signal processing, video processing, and image processing.
This webinar is for people who may be unfamiliar with Simulink.

Views: 69566
MATLAB

This video shows you how to set up, solve, and postprocess the model of a magnetic lens with many moving discrete particles. Electron beams are focused via the magnetic field surrounding a coil. Particle trajectories in the magnetic lens are calculated with COMSOL's Particle Tracing Module (http://www.comsol.com/products/particle-tracing/).

Views: 38226
COMSOL

How to set up simulations in LTSpice, create bode plots of phase and magnitude for a passive RC low pass filter.
Part 2 is here: http://www.youtube.com/watch?v=ozdjvGuaCvA
My website: http://www.afrotechmods.com

Views: 403848
Afrotechmods

This video is part of a lecture series available at https://www.youtube.com/channel/UCMvO2umWRQtlUeoibC8fp8Q

Views: 35071
Decision Making 101

Little's Law captures the relation between WIP, Throughput Time (or Lead Time), and Production Rate. Application leads towards lean production, muda elimination, and smooth material flow . Dr S. Gondhalekar with Mrudula Pardeshi and Pranali Pisat facilitate understanding of Little's law in simplified form, and how WIP reduction can be done by lead time reduction or throughput time reduction with a pleasantly visual representation using toy cars.

Views: 24391
Shrinivas Gondhalekar

Today we're going to introduce bayesian statistics and discuss how this new approach to statistics has revolutionized the field from artificial intelligence and clinical trials to how your computer filters spam! We'll also discuss the Law of Large Numbers and how we can use simulations to help us better understand the "rules" of our data, even if we don't know the equations that define those rules.
Want to try out the law of large numbers simulation yourself? More details here:
https://github.com/cmparlettpelleriti/CC2018/blob/master/LLN.md
Crash Course is on Patreon! You can support us directly by signing up at http://www.patreon.com/crashcourse
Thanks to the following Patrons for their generous monthly contributions that help keep Crash Course free for everyone forever:
Mark Brouwer, Glenn Elliott, Justin Zingsheim, Jessica Wode, Eric Prestemon, Kathrin Benoit, Tom Trval, Jason Saslow, Nathan Taylor, Divonne Holmes à Court, Brian Thomas Gossett, Khaled El Shalakany, Indika Siriwardena, SR Foxley, Sam Ferguson, Yasenia Cruz, Eric Koslow, Caleb Weeks, Tim Curwick, Evren Türkmenoğlu, D.A. Noe, Shawn Arnold, mark austin, Ruth Perez, Malcolm Callis, Ken Penttinen, Advait Shinde, Cody Carpenter, Annamaria Herrera, William McGraw, Bader AlGhamdi, Vaso, Melissa Briski, Joey Quek, Andrei Krishkevich, Rachel Bright, Alex S, Mayumi Maeda, Kathy & Tim Philip, Montather, Jirat, Eric Kitchen, Moritz Schmidt, Ian Dundore, Chris Peters, Sandra Aft, Steve Marshall
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Support Crash Course on Patreon: http://patreon.com/crashcourse
CC Kids: http://www.youtube.com/crashcoursekids

Views: 85632
CrashCourse

This is a video demonstration of a circuit simulation through ngspice. A simple circuit with single voltage source and three resistors connected in series with certain arbitrary values. This demo describes DC voltage analysis through aforementioned circuit.

Views: 574
Social Research Insights

This videos describes how a digital elevation model can be corrected and how to use some geoprocessing tools to create other hydrology datasets like flow direction, flow accumulation and stream network. Enjoy!

Views: 37022
Usman Buhari

Fourier Series and Fourier Transform with easy to understand 3D animations.

Views: 1428494
Physics Videos by Eugene Khutoryansky

Have you ever seen the inside of lithium-ion battery? Using Japanese supercomputer K, the 1st supercomputer which exceeds 10peta FLOPS in the world, scientists observed atomic-scale processes at the electrode of lithium-ion batteries, allowing them to identify a material that could improve the charging time, voltage capacity and reliability of these batteries for long-term and renewable energy storage solutions.
This video was created for outreach purpose and introduces how lithium-ion battery works and what kind of challenges the scientists are facing as well as the simulations at the molecular level of the inside of the battery.
The scientists awarded Gottfried Wagener Prize 2015 Energy & Industry.
RIKEN Advanced Institute for Computational Science
URL: http://www.aics.riken.jp/en/

Views: 15041
rikenchannel

Glaser basic teaching model for b. Ed students
Easy explanation of Glaser's basic teaching model for b. Ed students
By RAHUL SHARMA

Views: 6656
CLASSIC WAY OF LEARNING by RAHUL SHARMA

Interview of Dr. Norbert Szabo

Spray Theory and Applications by Prof. Mahesh Panchagnula, Department of Applied Mechanics,IIT Madras.For more details on NPTEL visit http://nptel.ac.in

Views: 4271
nptelhrd

This simulation, performed by researchers from the University of Campinas, shows the 2-way coupling CFD-DEM (ANSYS Fluent and Rocky DEM) technique as a powerful tool to enhance the sugarcane bagasse pneumatic separation process understanding. Different particle shapes for the bagasse are used and the air flow rate is varied in order to evaluate different operational conditions. The use of Ganser drag law takes into account the particle shape and alignment with the flow and allows the correct prediction of the separation efficiency.
Courtesy:
Eduardo de Almeida, Ph.D. - University of Campinas
Prof. Nicolas Spogis, Ph.D. - University of Campinas

Views: 197
Rocky DEM Particle Simulator

In this video I present a basic look at the field of fracture mechanics, introducing the critical stress intensity factor, or fracture toughness.

Views: 97292
Scott Ramsay

Numerical simulation illustrating Lenz's law. Magnet dropped down a copper pipe. This is a simulation of a classic experiment that demonstrates the principle of eddy current brakes. Thanks to TailSit's FEM/BEM coupling scheme no re-meshing has to be executed when the magnet falls through the pipe.

Views: 79
TAILSIT - tailored simulation tools

Rule-based model with power-law distribution of sizes in community.
Autonomous nodes moving while making mobility decision independently based on the identities of their encountered nodes.

Views: 436
sungwookie

Paul Andersen shows you how to calculate the ch-squared value to test your null hypothesis. He explains the importance of the critical value and defines the degrees of freedom. He also leaves you with a problem related to the animal behavior lab. This analysis is required in the AP Biology classroom.
Intro Music Atribution
Title: I4dsong_loop_main.wav
Artist: CosmicD
Link to sound: http://www.freesound.org/people/CosmicD/sounds/72556/
Creative Commons Atribution License

Views: 1433176
Bozeman Science

Problems encountered when analyzing simulation output that are modeled with queuing processes occur frequently. In this SimCast, Dr. Jeffrey S. Strickland, PhD, CMSP, ASEP, President of Simulation Educators explains two of the problems that typically occur:
1. The Initial Transient Period
2. Autocorrelated Observations
Simulations take time to warm up to their steady state behavior, unless something is known about it when modeling a system. This warm up period or initial transient period must be accounted for in experimental design. Waiting times are not independent--they are autocorrelated--and these must also be dealt with in experimental design. It is easy to pick these problems apart by running a simple M/M/1 queue model. Learn more by watching this SimCast.

Views: 978
ExtendSim Simulation Tools

The Hardy-Weinberg Principle states that allele and genotype frequencies in populations remain stable over time, given certain assumptions. What assumptions? What does the principle mean? And how do you SOLVE those Hardy-Weinberg PROBLEMS? Everything shall be revealed in this video - with some penguins of course. They make everything go down easier.
JOIN THE FUN all over the WEB:
SUBSCRIBE: http://www.youtube.com/user/ThePenguinProf
FACEBOOK: https://www.facebook.com/ThePenguinProf
GOOGLE+: https://plus.google.com/+Penguinprof/posts
TWITTER: https://twitter.com/penguinprof
WEB: http://www.penguinprof.com/
Links to Videos Mentioned:
Mendelian Genetics: http://youtu.be/xtJwHytHRfI
How to Solve Genetics Problems: http://youtu.be/Qcmdb25Rnyo
Solution for the additional problem I showed at the end:
Allele Frequencies:
q = 0.04
p = 0.96
Genotype Frequencies:
homozygous dominant: 0.92
Heterozygous: 0.08
Homozygous recessive: 0.002
Answer to the additional problem step-by-step: http://www.penguinprof.com/uploads/8/4/3/1/8431323/solving_hardy-weinberg_problems.pdf
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Video Details:
Population Genetics:
The Hardy-Weinberg Principle
You need to know:
gene vs. allele
gentoype vs. phenotype
understanding probabilities (and vs. or)
Punnett Square
Hardy-Weinberg Principle
Timeline of Discoveries
Darwin, Mendel, DeVries, Correns
Hardy, Weinberg, Castle
Mendelian Genetics Gets HOT
Particles are inherited!
Traits aren't blended!
Cambridge opens a department of Genetics
So What's it All About?
It's about frequencies
When talking about population genetics, we are interested in the prevalence of a particular allele or genotype in a population
The Hardy-Weinberg Principle States:
Frequencies of alleles and genotypes in a population will remain constant over time in the absence of other evolutionary influences
Assumptions
Organisms are diploid
Generations are non-overlapping
Population must be large
No immigration or emigration
No mutation in the gene of interest
No natural selection occurs (individuals reproduce at equal rates)
Mating is random
Alleles and Allele Frequency
Penguin Prof Helpful Hints
The Sum of All Possible Outcomes MUST Equal 1
p+q = 1
ALLELE FREQUENCY
2 Alleles = Genotype
p2 + 2pq + p2 = 1
What if There are Three Alleles?
(p, q and r)
Sample Problem
In a population of 1,000 penguins, 12 have blue feet. Find the frequency of the blue allele, the yellow allele and the frequencies of the three possible genotypes in this population.
Solving Hardy-Weinberg Problems
Assign the alleles
Frequency of the dominant allele is 'p'
Frequency of the recessive allele is 'q'
Calculate q by taking the square root of the number of homozygous recessive individuals
Calculate p (the allele frequencies must equal 1, so p = 1 − q)
Use p and q to calculate the other genotype frequencies:
frequency of homozygous dominant individuals = p2
frequency of heterozygous individuals = 2pq
frequency of homozygous recessives = q2
This may help:
Hardy-Weinberg Punnett Square
Try Another One...
In a population of 130,000 magical mice, green fur is dominant over orange. If there are 300 orange mice in a population of 130,000, find the following (assume population is in Hardy-Weinberg equilibrium):
1. Frequency of dominant (green) allele
2. Frequency of recessive (orange) allele
3. Frequency of each genotype

Views: 331126
ThePenguinProf

We introduce Markov chains -- a very beautiful and very useful kind of stochastic process -- and discuss the Markov property, transition matrices, and stationary distributions.

Views: 84251
Harvard University

CLICK HERE http://www.manifestedpublishers.com TO WATCH FULL VIDEO

Views: 2082
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© 2019 Journal of emerging markets finance

Dr. Ralph-Christian Ohr has been working in several innovation, division and product management functions for international, technology-based companies. His interest is aimed at organizational and personal capabilities for high innovation performance. He authors the Integrative Innovation Blog. The Biggest Mistakes in Managing a Portfolio. The Biggest Mistakes in Financial Planning Series. by Harvey Jacobson, CHFC, MBA, CLU. Investors who have remained consistent with their risk profiles through volatile markets have seen a substantial recovery in their portfolios since March 2009. Those who are truly behind are those who panicked and are now left with the decision of how to recover their losses. They can, but it is a much slower recovery. This article published originally April 13, 2010, Los Angeles Daily News. Managing an agile portfolio. When the right people on the right teams have the right context, they naturally do the right thing. Set the right context.