PERT Program Evaluation and Review Technique Tong Wang 511D ERB.

Slides:



Advertisements
Similar presentations
Project Management - Part 2
Advertisements

Operations Management Session 27: Project Management.
Terminology Project: Combination of activities that have to be carried out in a certain order Activity: Anything that uses up time and resources CPM: „Critical.
1 Topics to cover in 2 nd part ( to p2). 2 Chapter 8 - Project Management Chapter Topics ( to p3)
1 Project Scheduling CP - Chapter 10 Lecture 3. 2 Project Management  How is it different?  Limited time frame  Narrow focus, specific objectives 
Sampling: Final and Initial Sample Size Determination
Problem Activity Immediate Predecessor a m b A B 4 16
Other Scheduling Methods Dr. Ayham Jaaron Chapter 11.
Spring 2008, King Saud University PERT Dr. Khalid Al-Gahtani 1 Activity Duration 1.“Guess” the activity duration, especially smaller activities. 2.Use.
Applications of the Normal Distribution
In the name of Allah the Most Gracious the Most Merciful.
McGraw-Hill/Irwin © 2006 The McGraw-Hill Companies, Inc., All Rights Reserved. 1 Chapter 3 part 2 Project Management.
Areas Under Any Normal Curve
LINE DIAGRAMS Learning objectives After this lecture you will be able to: Prepare and use line diagrams Demonstrate the effect that making activities ‘continuous’
Project Scheduling Professor Stephen Lawrence Leeds School of Business University of Colorado Boulder, CO
EMGT 501 HW #2 Answer. 020/3 X 3 05/601-1/62/3050/3 X 6 0-5/300-2/3-1/3180/3 (c).3/230with )3/80,0,0,3/50,3/20,0(*)*, ( solution Optimal   Z.
SEEM 3530 Program Evaluation and Review Technique
Project Scheduling Professor Stephen Lawrence Graduate School of Business Administration University of Colorado Boulder, CO
6.3 Use Normal Distributions
MATHEMATICS 3 Operational Analysis Štefan Berežný Applied informatics Košice
Prosjektstyring bma ACTIVITY A B C D E A 4 / 5 / 6 B 8 / 10 / 13 C 9 / 12 / 16 D 7.
MANA 705 DL © Sistema Universitario Ana G. Méndez, All rights reserved. W6 6.2 Operation Management Operation Management Managing Projects Techniques.
8-1 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall Project Management Chapter 8.
SECTION 6.4 Confidence Intervals for Variance and Standard Deviation Larson/Farber 4th ed 1.
S.Cholette, based on McGraw-Hill/Irwin Managing Risk.
Continuous Random Variables
Z-Scores Z-Score: It is a measure of a the position specific value in a data set relative to mean in terms of the standard deviation units. It is sometimes.
Normal distribution (2) When it is not the standard normal distribution.
Normal Distributions Z Transformations Central Limit Theorem Standard Normal Distribution Z Distribution Table Confidence Intervals Levels of Significance.
Network techniques for Project Management
Module 13: Normal Distributions This module focuses on the normal distribution and how to use it. Reviewed 05 May 05/ MODULE 13.
7.3 and 7.4 Extra Practice Quiz: TOMORROW THIS REVIEW IS ON MY TEACHER WEB PAGE!!!
8-1 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall Project Management Chapter 8.
Chapter 7 PERT Project Management for Business, Engineering, and Technology.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved. Section 7-5 Estimating a Population Variance.
§ 5.3 Normal Distributions: Finding Values. Probability and Normal Distributions If a random variable, x, is normally distributed, you can find the probability.
3 - 1 Course Title: Production and Operations Management Course Code: MGT 362 Course Book: Operations Management 10 th Edition. By Jay Heizer & Barry Render.
PERT/Activity Diagrams, Completion Probability and the Z Score
INTRODUCTORY MATHEMATICAL ANALYSIS For Business, Economics, and the Life and Social Sciences  2011 Pearson Education, Inc. Chapter 16 Continuous Random.
Change management control Sources of Change  Project scope changes  Implementation of contingency plans  Improvement changes ISE Ch. 6 1.
Review Continuous Random Variables Density Curves
SESSION 37 & 38 Last Update 5 th May 2011 Continuous Probability Distributions.
CPM – Critical Path Method Can normal task times be reduced? Is there an increase in direct costs? Additional manpower Additional machines Overtime, etc…
Estimating a Population Mean. Student’s t-Distribution.
PLANNING ENGINEERING AND PROJECT MANAGEMENT
Chapter 7 : Risk Management – part 2
Section 5.1 Discrete Probability. Probability Distributions x P(x)1/4 01/83/8 x12345 P(x)
Project Crashing. c=6 e=9 b=6 a=7 f=8 g=5 d=4 Given the information below, what is the total additional cost to crash the project as much as possible?
1 1 Slide Continuous Probability Distributions n The Uniform Distribution  a b   n The Normal Distribution n The Exponential Distribution.
COB 300C Project Management Dr. Michael Busing. PERT ANALYSIS Optimistic-Likely-Pessimistic Project Times If you hold someone to a certain number, they.
Copyright © Cengage Learning. All rights reserved. Normal Curves and Sampling Distributions 6.
Review Continuous Random Variables –Density Curves Uniform Distributions Normal Distributions –Probabilities correspond to areas under the curve. –the.
Copyright © Cengage Learning. All rights reserved. 8 PROBABILITY DISTRIBUTIONS AND STATISTICS.
PERT CPM assumes duration of activity is known with certainty.
PERT/Activity Diagrams, Completion Probability and the Z Score
Project Management Chapter Topics
6 Normal Curves and Sampling Distributions
PROJECT MANAGEMENT WITH CPM/PERT.
Decision making and Organization Management
Probabilistic Time Estimates
Measure of Dispersion Problem solving.
ENM448-Project Planning and Management
Probability Distribution – Example #2 - homework
Using the Normal Distribution
Confidence Intervals for a Standard Deviation
Applications of the Normal Distribution
3.1 Earliest Start Times.
Project Management Dr. Michael Busing
PERT Program Evaluation and Review Technique
PERT/Activity Diagrams, Completion Probability and the Z Score
Presentation transcript:

PERT Program Evaluation and Review Technique Tong Wang 511D ERB

PERT Example Precedin g Completion Times (days) Activit y OptimisticMost Likely Pessimistic a-567 b-4518 ca41520 db,c345 ea51618 Consider a small project that involves the following activities.

PERT Example (cont’d) (a) Determine the expected value and the variance of the completion time for each activity. (b) Use the expected times from (a) to find the critical path. (c) Assuming that the normal distribution applies, determine the probability that the critical path will take between 18 and 26 days to complete. (d) How much time must be allowed to achieve a 90% probability of timely completion? (e)By using modified probability of completion method, what is the probability that all paths will take before 18 weeks?

Exercise Solution Activit y MeanVariance a64/36 b7196/36 c14256/36 d44/36 e /36 (a) START A6A6 C 14 B7B7 E 14.5 D4D4 END

Exercise Solution (cont’d) (b) By using the expected time (mean) of each activity, we find that the critical path is A-C-D. Remark: For this simple project, we can find the longest path (A-C-D) has the largest expected time, which is the critical path. The mean critical path duration is μ= = 24. The variance of the critical path duration is the sum of the variances along the path: σ 2 cp = ( ) / 36 = 264/36 so that the standard deviation is readily computed as σ cp =

Exercise Solution (cont’d) (c)The interval probability may be computed as the difference between two cumulative probabilities as follows: P(18 ≤ t ≤ 26) = P(t ≤ 26) - P(t ≤ 18). Two separate z computations are required. First at 26 we have z 26 = (26-24) / 2.708=0.739 Then by looking up the normal table with z 26 =0.739, we have one result that P(t ≤ 26) = 0.770

Exercise Solution (cont’d) Secondly, at 18 we have z 18 = (18-24) / 2.708= and P(t ≤ 18) = Combining these two results yields the desired probability as P(18 ≤ t ≤ 26) = =

Exercise Solution (cont’d) (d) For 90% probability, we must pick a z value corresponding to 90% of the area under the normal curve, 50% left of mean and 40% right of mean, so z = Then solving for t we have t = *2.708 = days.

Exercise Solution (cont’d) (e)There are three paths in total. They are A-C-D, A- E, and B-D. The probabilities for the three paths to be completed 18 weeks are given below. P(X 1 ≤ 18) = P( z ≤ (18-24) / 2.708) = P(X 2 ≤ 18) = P( z ≤ ( ) / 2.192) = P(X 3 ≤ 18) = P( z ≤ (18-11) / 2.356) = Then the probability of completing all the paths in 18 weeks is P(X ≤18) = P(X 1 ≤ 18) P(X 2 ≤ 18) P(X 3 ≤ 18) = meanstandard deviation A-C-D A-E B-D

Questions?