Scitor Tutorial 53:084 Project Design and Management in Civil Engineering Spring Semester 2003.

Slides:



Advertisements
Similar presentations
Senior Q2 Shy Tortoise. Sample >>> > > >>
Advertisements

ELEC 303, Koushanfar, Fall’09 ELEC 303 – Random Signals Lecture 6 – More Discrete Random Variables Farinaz Koushanfar ECE Dept., Rice University Sept 10,
EKG Sampling Script John Thornton Brian Walden. What does it do? The psych lab in the science center runs experiments that sample the amplitude of brain.
How to calculate a single cycle
TELEPHONE NUMBER TELEPHONE NUMBER
Chapter 22 Simulation with Process Model to accompany Operations Research: Applications and Algorithms 4th edition by Wayne L. Winston Copyright (c) 2004.
Analysis of Simulation Input.. Simulation Machine n Simulation can be considered as an Engine with input and output as follows: Simulation Engine Input.
2.3. Measures of Dispersion (Variation):
Quality Control Methods. Control Charts > X (process location) >S (process variation) > R (process variation) > p (proportion) > c (proportion)
1 Ardavan Asef-Vaziri Sep-09Operations Management: Waiting Lines3  Terminology: The characteristics of a queuing system is captured by five parameters:
Computational Cognitive Neuroscience Lab Today: First session.
Making the Link Between Teaching, Learning, and Assessment
Occupation Projections (*)Adequacy of the US Science and Engineering Workforce, by.
Welcome to the Department of Dr. Tijjani Mohammed Department Chair Mr. David Bucci Undergraduate Advisor Ms. Amy.
MS 305 Recitation 11 Output Analysis I
Call Center Deployments Keith Herold Lead Speech Recognition Engineer Thursday, March 25, :00pm – 3:15pm.
12 Models and Simulations. Model vs Simulation A template of a physical object A mathematical model of a physical object Object modelled may be small.
Systems Development Lifecycle Testing and Documentation.
computer
AGBell-1- by Andrew G. Bell (260)
Jake Blanchard University of Wisconsin Spring 2006.
By Dinesh Bajracharya Nepal Components of Information system.
Monitoring High-yield processes MONITORING HIGH-YIELD PROCESSES Cesar Acosta-Mejia June 2011.
CS 351/ IT 351 Modeling and Simulation Technologies Review ( ) Dr. Jim Holten.
© 2014 Minitab, Inc. Justin Callahan Commercial Sales Representative.
Supervisor: Arie Nakhmani Students: Eli Tsiben & Guy Dor Lederfein Semester: Spring 2011 Scilab - a good MATLAB alternative?
CSCI 2670 Introduction to Theory of Computing October 13, 2005.
Computer Studies Today Chapter 8 1 Chapter 8. Computer Studies Today Chapter 8 2 »The widespread use of and dependence on computers have had an enormous.
S7-1 ADM , Section 7, August 2005 Copyright  2005 MSC.Software Corporation SECTION 7 DESIGN OF EXPERIMENTS.
Lectures' Notes STAT –324 Probability Probability and Statistics for Engineers First Semester 1431/1432 and 5735 Teacher: Dr. Abdel-Hamid El-Zaid Department.
Comparisons of Simulation Results Using the NWS Hydrology Laboratory's Research Modeling System (HL-RMS) Hydrology Laboratory Office of Hydrologic Development.
How to calculate a single cycle
Constrained ‘Modern’ Floorplanning
VARIABLES CONTROL CHART (X & R)
CIVIL ENGINEERING Program of Study
Test Automation CS 4501 / 6501 Software Testing
Take it Easy with your Diabetes
EPANET-MATLAB Toolkit An Open-Source Software for Interfacing EPANET with MATLAB™ Demetrios ELIADES, Marios KYRIAKOU, Stelios VRACHIMIS and Marios POLYCARPOU.
Dual Tone Multi Frequency (DTMF)
CE : Structural fire Engineering
Scan Sampling Time Animal and Behavior 1200
TexPoint fonts used in EMF.
TexPoint fonts used in EMF.
Simulation of Continuous Probability Distributions
در تجزیه و تحلیل شغل باید به 3 سوال اساسی پاسخ دهیم Job analysis تعریف کارشکافی، مطالعه و ثبت جنبه های مشخص و اساسی هر یک از مشاغل عبارتست از مراحلی.
Control Structure Senior Lecturer
Fast Pattern Simulation Using Multi‐Scale Search
Physics-based simulation for visual computing applications
Sampling Distribution
Sampling Distribution
10:00.
ME 123 Computer Applications I
CIVIL ENGINEERING Program of Study
CIVIL ENGINEERING Program of Study
مديريت موثر جلسات Running a Meeting that Works
Measuring Variation 2 Lecture 17 Sec Mon, Oct 3, 2005.
Time Complexity Lecture 14 Sec 10.4 Thu, Feb 22, 2007.
Application: Efficiency of Algorithms I
Time Complexity Lecture 15 Mon, Feb 27, 2006.
Ko-Fei Liu & Ying-Hsin Wu
3858 Tutorial Lecture 8 March 29, 2017 Yifan Li.
C.2.10 Sample Questions.
C.2.8 Sample Questions.
2.3. Measures of Dispersion (Variation):
C.2.8 Sample Questions.
Separating Interface from Implementation
Importance Sampling, Sequential Importance Sampling and more.
College students and exercising
Turbo Sessions Mesocycle II.
Presentation transcript:

Scitor Tutorial 53:084 Project Design and Management in Civil Engineering Spring Semester 2003

What is Scitor?  Presentation-quality flowcharts  Powerful process analysis  Simulation capabilities

Flowchart

Simulation

Analysis

Sample Problem  Computer Telephone Help Support Center  Simulate the telephone network  Time and cost consumption  Effectiveness of resources

Cost and Time Effects Job TaskEligibilityCostOperation Time Distribution Telephone operator Normal$7/hr30sec or 1min Tech Support Hard Senior Tech$15/hr10min25% Tech Support Easy Jr. Tech$10/hr10min25% Sales Sales Person$8/hr15min50%

Telephone Network System 5 min 30 sec 25 % 1 min 50 % 30 sec 25 % 10 min15 min 10 min 75 % $15/hr $10/hr $8/hr $7/hr 5 min 25 %

Run Simulation  Scitor runs simulation

Analysis of Results

Change Variation  Modification of input variables  Redo the simulation  Comparison of results from new input variable

Questions?  Let’s practice Scitor!