SlideShare une entreprise Scribd logo
1  sur  28
CASE PROBLEM
      PERT/CPM

           GROUP 3:
SAIFUL BAHRI HJ AHMAD MOKHTAR
      MOHD FAUZI MD FADZIL
WAN AISHAH WAN MOHD NOWALID
     FARHANAH MOHD NOAH
CASE PROBLEM




  List of the activities
The optimistic, most probable and pessimistic time (in week)
Question (a)1

• R.C Coleman’s top management established a
  required 40-week completion time for the
  project. Can this completion time be
  achieved?
D               I

        A


START
            C     E       F                   K   FINISH

                                  H       J


        B             G




                Project Network
Expected Time
•Optimistic time (a)
The minimum activity time if everything progresses ideally

•Most probable time (m)
The most probable activity time under normal conditions

•Pessimistic time (b)
The maximum activity time if significant delays are
encountered

•Expected time (t)
The average time for the activity
                          a   4m    b
                     t
                               6
4   4(6)      8         7   4(10 )   13        4   4(6)    14
 tA                      tE                     tI
           6                        6                      6


      6   4(8)     16         4   4(6)     8         3   4( 4)   5
tB                       tF                     tJ
            6                      6                      6


                              4   4(6)     20        2   4( 4)   6
      2   4( 4)    6     tG                     tK
tC                                  6                     6
           6


      8   4(10 )    24        4    4(6)    8
tD                       tH
             6                      6
ACTIVITY          EXPECTED TIME (WEEKS)
   A                        6
   B                        9
   C                        4
   D                       12
   E                       10
   F                        6
   G                        8
   H                        6
   I                        7
   J                        4
   K                        4
 TOTAL                     76


       Expected Time In Weeks
D 13 25
                                  12 17 29
        A   0 6
        6   3 9                                      I 29 36
                                                     7 32 39

                   C 9 13   E 13 23                                  K 39 43
START
                                                                     4 39 43
                   4 9 13   10 13 23


                                       F 23 29   H 29 35
        B    0 9                       6 23 29   6 29 35
                                                                               FINISH
        9    0 9
                                                           J 35 39
                                                           4 35 39
                                  G 13 21
                                  8 21 29




            Project Network (Earliest Start, Finish Times, Latest
                         Start and Finish Times)
ACTIVITY   ES     EF         LS       LF    SLACK
   A       0      6          3        9         3
   B       0      9          0        9    0 (critical)
   C       9      13         9        13   0 (critical)
   D       13     25         17       29        4
   E       13     23         13       23   0 (critical)
   F       23     29         23       29   0 (critical)
   G       13     21         21       29        8
   H       29     35         29       35   0 (critical)
   I       29     36         32       39        3
   J       35     39         35       39   0 (critical)
   K       39     43         39       43   0 (critical)


                Activity Slack Time
Critical Path:
B-C-E-F-H-J-K

Project Completion Time:
43 weeks

R.C Coleman’s required 40-week completion
 time. This completion time can’t be achieved
Question (a)2

Include probability information in your
discussion. What recommendations do you
have if the 40-week completion time is
required?
Variance ( 2)
• used to describe the dispersion or variation in the
  activity time values

                                    2
                        b       a
                 2

                            6
ACTIVITY               VARIANCE
   A                      0.44
   B                      2.78
   C                      0.44
   D                       7.11
   E                      1.00
   F                      0.44
   G                       7.11
   H                      0.44
   I                      2.78
   J                       0.11
   K                      0.44

    Variance of Each Activity
Variance in the project completion time ( 2)
   2   =   2    +   2    +   2    +   2    +   2        2        2
            B        C        E        F           H+    J   +    K
       = 2.78 + 0.44 + 1.00 + 0.44 + 0.44 + 0.11 + 0.44
       = 5.65


Standard deviation ( )
       = √5.65
       = 2.38
Normal Distribution of Project Completion Time




                                       = 2.38



      Expected Completion Time




                      43
                  Time (weeks)
Probability the project will meet the 40-week
               completion time




                                    = 2.38




               40    43
                 Time (weeks)
At 40 ≤ T ≤ 43
z = (40 – 43) / 2.38 = 1.26

using table,
Pr (40 ≤ T ≤ 43) = 0.3962

Pr (T ≤ 40) = 0.5000 – 0.3962
               = 0.103
               = 10.38%

 We find that the probability of the project meeting the 40-weeks
  deadline is 10.38%. Thus, R.C Collman have a low chance if they
  want the project completed at 40-weeks
Question (b)

• Suppose that management request that activity
  times be shortened to provide an 80 percent chance
  of meeting the 40-week completion time. If the
  variance in the project completion time is the same
  as you found in (a), how much should the expected
  project completion time be shortened to achieved
  the goal of an 80 percent chance of completion
  within 40 weeks?
Expected completion time to achieve 80% chance of
           completion within 40 weeks




                                     = 2.38




                        X   40

                      Time
                     (weeks)
Pr (T ≤ 40) = 0.8000
Pr (x ≤ T ≤ 40) = 0.8000 – 0.5000 = 0.3000

using table,
z (x ≤ T ≤ 40) = 0.84
(40 – x) / 2.38 = 0.84

x = 38

 It shows the project has to be shortened to 38 weeks
  to achieve the goal of an 80 % chance of completion
  within 40 weeks.
Question (c)

• Using the expected completion times as the
  normal times and the following crashing
  information, determine the activity crashing
  decisions and revised activity schedule for the
  warehouse expansion project
Crash Time and Cost’s Information
Maximum possible reduction in time, Mi
   M                 '
       i        i     i
                                               (3)
with        i = expected time for activity I
            ’i = time for activity i under maximum crashing

Crash cost per unit of time, Ki
                    C'       C
   K                     i       i
       i
                      M
                             i

with       Ci = cost for activity I
           C’i = cost for activity i under maximum crashing
TIME                  COST
ACTIVITY                                               Mj    Kj
           NORMAL    CRASHED   NORMAL      CRASHED
   A         6           4      1000           1900    2    450
   B         9           7      1000           1800    2    400
   C         4           2      1500           2700    2    600
   D         12          8      2000           3200    4    300
   E         10          7      5000           8000    3    1000
   F         6           4      3000           4100    2    550
   G         8           5      8000           10259   3    753
   H         6           4      5000           6400    2    700
   I         7           4      10000          12400   3    800
   J         4           3      4000           4400    1    400
   K         4           3      5000           5500    1    500
Linear Programming Model
EXCEL
CRASHING
ACTIVITY            TIME (WEEKS)
                                        (WEEKS)
   A                         6               0
   B                         7               2
   C                         4               0
   D                         12              0
   E                         10              0
   F                         5               1
   G                         8               0
   H                         6               0
   I                         7               0
   J                         3               1
   K                         3               1
       Total Crashing Time                 5 weeks
       Total Crashing Cost             $ 2,250.00

              Activity Crashing Decision

Contenu connexe

Tendances (20)

Assembly Line Balancing -Example
Assembly Line Balancing -ExampleAssembly Line Balancing -Example
Assembly Line Balancing -Example
 
Chapter 10 solutions
Chapter 10 solutionsChapter 10 solutions
Chapter 10 solutions
 
79971255 assembly-line-balancing
79971255 assembly-line-balancing79971255 assembly-line-balancing
79971255 assembly-line-balancing
 
241232978 solution-manual-om-ch-12
241232978 solution-manual-om-ch-12241232978 solution-manual-om-ch-12
241232978 solution-manual-om-ch-12
 
unbalanced transportation problem
unbalanced transportation problemunbalanced transportation problem
unbalanced transportation problem
 
Assignment Problem
Assignment ProblemAssignment Problem
Assignment Problem
 
Brunswick motors, inc
Brunswick motors, incBrunswick motors, inc
Brunswick motors, inc
 
Bba 3274 qm week 9 transportation and assignment models
Bba 3274 qm week 9 transportation and assignment modelsBba 3274 qm week 9 transportation and assignment models
Bba 3274 qm week 9 transportation and assignment models
 
Scheduling
SchedulingScheduling
Scheduling
 
Man and machine chart
Man and machine chartMan and machine chart
Man and machine chart
 
Line balancing and heuristics
Line balancing and heuristicsLine balancing and heuristics
Line balancing and heuristics
 
Aggregate Production Planning
Aggregate Production PlanningAggregate Production Planning
Aggregate Production Planning
 
Assignment model
Assignment modelAssignment model
Assignment model
 
Rsh qam11 ch09 ge
Rsh qam11 ch09 geRsh qam11 ch09 ge
Rsh qam11 ch09 ge
 
Easy steps to critical path determination and floats calculations for projects
Easy steps to critical path determination and floats calculations for projectsEasy steps to critical path determination and floats calculations for projects
Easy steps to critical path determination and floats calculations for projects
 
Cooper industries Case Study
Cooper industries Case StudyCooper industries Case Study
Cooper industries Case Study
 
05 solutions
05 solutions05 solutions
05 solutions
 
Goal programming
Goal programmingGoal programming
Goal programming
 
Integer programming
Integer programmingInteger programming
Integer programming
 
Aggregate Planning Problem
Aggregate Planning ProblemAggregate Planning Problem
Aggregate Planning Problem
 

Similaire à PERT/CPM

Network diagram problems
Network diagram problemsNetwork diagram problems
Network diagram problemsSubhra Mishra
 
Lecture - Project, Planning and Control.pdf
Lecture - Project, Planning and Control.pdfLecture - Project, Planning and Control.pdf
Lecture - Project, Planning and Control.pdflucky141651
 
1LocationFixed CostsVariable Costs per unitA=BB=CC=DA$85,000260006.docx
1LocationFixed CostsVariable Costs per unitA=BB=CC=DA$85,000260006.docx1LocationFixed CostsVariable Costs per unitA=BB=CC=DA$85,000260006.docx
1LocationFixed CostsVariable Costs per unitA=BB=CC=DA$85,000260006.docxdrennanmicah
 
Project Management Through Gantt & Pert Chart
Project Management Through Gantt & Pert ChartProject Management Through Gantt & Pert Chart
Project Management Through Gantt & Pert ChartVinay Prajapati
 
Application of branch and bound technique for 3 stage flow shop scheduling pr...
Application of branch and bound technique for 3 stage flow shop scheduling pr...Application of branch and bound technique for 3 stage flow shop scheduling pr...
Application of branch and bound technique for 3 stage flow shop scheduling pr...Alexander Decker
 
Project management project scheduling
Project management  project schedulingProject management  project scheduling
Project management project schedulingTadele Asmare
 
Pert & cpm project management
Pert & cpm   project managementPert & cpm   project management
Pert & cpm project managementRahul Dubey
 
Pma individual assignment ii
Pma  individual assignment iiPma  individual assignment ii
Pma individual assignment iichandraswami
 
Critical path method (cpm)
Critical path method (cpm)Critical path method (cpm)
Critical path method (cpm)Nikka Lopez
 
Program evaluation review technique (pert)
Program evaluation review technique (pert)Program evaluation review technique (pert)
Program evaluation review technique (pert)tomeh
 
construction resource optimization 1.pptx
construction resource optimization 1.pptxconstruction resource optimization 1.pptx
construction resource optimization 1.pptxkimkov119
 

Similaire à PERT/CPM (20)

Network diagram problems
Network diagram problemsNetwork diagram problems
Network diagram problems
 
Ch03pp
Ch03ppCh03pp
Ch03pp
 
606CPM1.ppt
606CPM1.ppt606CPM1.ppt
606CPM1.ppt
 
Project management
Project managementProject management
Project management
 
Pert cpm
Pert cpmPert cpm
Pert cpm
 
Pert cpm
Pert cpmPert cpm
Pert cpm
 
Lecture - Project, Planning and Control.pdf
Lecture - Project, Planning and Control.pdfLecture - Project, Planning and Control.pdf
Lecture - Project, Planning and Control.pdf
 
Project
ProjectProject
Project
 
1LocationFixed CostsVariable Costs per unitA=BB=CC=DA$85,000260006.docx
1LocationFixed CostsVariable Costs per unitA=BB=CC=DA$85,000260006.docx1LocationFixed CostsVariable Costs per unitA=BB=CC=DA$85,000260006.docx
1LocationFixed CostsVariable Costs per unitA=BB=CC=DA$85,000260006.docx
 
Project Management Through Gantt & Pert Chart
Project Management Through Gantt & Pert ChartProject Management Through Gantt & Pert Chart
Project Management Through Gantt & Pert Chart
 
Application of branch and bound technique for 3 stage flow shop scheduling pr...
Application of branch and bound technique for 3 stage flow shop scheduling pr...Application of branch and bound technique for 3 stage flow shop scheduling pr...
Application of branch and bound technique for 3 stage flow shop scheduling pr...
 
Project management project scheduling
Project management  project schedulingProject management  project scheduling
Project management project scheduling
 
Pert & cpm project management
Pert & cpm   project managementPert & cpm   project management
Pert & cpm project management
 
Cpm & network diagrams
Cpm & network diagramsCpm & network diagrams
Cpm & network diagrams
 
4R2012 preTest5A
4R2012 preTest5A4R2012 preTest5A
4R2012 preTest5A
 
Pma individual assignment ii
Pma  individual assignment iiPma  individual assignment ii
Pma individual assignment ii
 
Critical path method (cpm)
Critical path method (cpm)Critical path method (cpm)
Critical path method (cpm)
 
Program evaluation review technique (pert)
Program evaluation review technique (pert)Program evaluation review technique (pert)
Program evaluation review technique (pert)
 
Pert
PertPert
Pert
 
construction resource optimization 1.pptx
construction resource optimization 1.pptxconstruction resource optimization 1.pptx
construction resource optimization 1.pptx
 

Dernier

ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701bronxfugly43
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxheathfieldcps1
 
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptxSKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptxAmanpreet Kaur
 
SOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning PresentationSOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning Presentationcamerronhm
 
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...Nguyen Thanh Tu Collection
 
On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsMebane Rash
 
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsIntroduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsTechSoup
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introductionMaksud Ahmed
 
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...pradhanghanshyam7136
 
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptxMaritesTamaniVerdade
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdfQucHHunhnh
 
How to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POSHow to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POSCeline George
 
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.christianmathematics
 
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17  How to Extend Models Using Mixin ClassesMixin Classes in Odoo 17  How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17 How to Extend Models Using Mixin ClassesCeline George
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdfQucHHunhnh
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhikauryashika82
 
Application orientated numerical on hev.ppt
Application orientated numerical on hev.pptApplication orientated numerical on hev.ppt
Application orientated numerical on hev.pptRamjanShidvankar
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxAreebaZafar22
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfciinovamais
 

Dernier (20)

ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
 
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptxSKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
 
SOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning PresentationSOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning Presentation
 
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
 
On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan Fellows
 
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsIntroduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The Basics
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
 
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
 
How to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POSHow to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POS
 
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.
 
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17  How to Extend Models Using Mixin ClassesMixin Classes in Odoo 17  How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
 
Application orientated numerical on hev.ppt
Application orientated numerical on hev.pptApplication orientated numerical on hev.ppt
Application orientated numerical on hev.ppt
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptx
 
Asian American Pacific Islander Month DDSD 2024.pptx
Asian American Pacific Islander Month DDSD 2024.pptxAsian American Pacific Islander Month DDSD 2024.pptx
Asian American Pacific Islander Month DDSD 2024.pptx
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
 

PERT/CPM

  • 1. CASE PROBLEM PERT/CPM GROUP 3: SAIFUL BAHRI HJ AHMAD MOKHTAR MOHD FAUZI MD FADZIL WAN AISHAH WAN MOHD NOWALID FARHANAH MOHD NOAH
  • 2. CASE PROBLEM List of the activities
  • 3. The optimistic, most probable and pessimistic time (in week)
  • 4. Question (a)1 • R.C Coleman’s top management established a required 40-week completion time for the project. Can this completion time be achieved?
  • 5. D I A START C E F K FINISH H J B G Project Network
  • 6. Expected Time •Optimistic time (a) The minimum activity time if everything progresses ideally •Most probable time (m) The most probable activity time under normal conditions •Pessimistic time (b) The maximum activity time if significant delays are encountered •Expected time (t) The average time for the activity a 4m b t 6
  • 7. 4 4(6) 8 7 4(10 ) 13 4 4(6) 14 tA tE tI 6 6 6 6 4(8) 16 4 4(6) 8 3 4( 4) 5 tB tF tJ 6 6 6 4 4(6) 20 2 4( 4) 6 2 4( 4) 6 tG tK tC 6 6 6 8 4(10 ) 24 4 4(6) 8 tD tH 6 6
  • 8. ACTIVITY EXPECTED TIME (WEEKS) A 6 B 9 C 4 D 12 E 10 F 6 G 8 H 6 I 7 J 4 K 4 TOTAL 76 Expected Time In Weeks
  • 9. D 13 25 12 17 29 A 0 6 6 3 9 I 29 36 7 32 39 C 9 13 E 13 23 K 39 43 START 4 39 43 4 9 13 10 13 23 F 23 29 H 29 35 B 0 9 6 23 29 6 29 35 FINISH 9 0 9 J 35 39 4 35 39 G 13 21 8 21 29 Project Network (Earliest Start, Finish Times, Latest Start and Finish Times)
  • 10. ACTIVITY ES EF LS LF SLACK A 0 6 3 9 3 B 0 9 0 9 0 (critical) C 9 13 9 13 0 (critical) D 13 25 17 29 4 E 13 23 13 23 0 (critical) F 23 29 23 29 0 (critical) G 13 21 21 29 8 H 29 35 29 35 0 (critical) I 29 36 32 39 3 J 35 39 35 39 0 (critical) K 39 43 39 43 0 (critical) Activity Slack Time
  • 11. Critical Path: B-C-E-F-H-J-K Project Completion Time: 43 weeks R.C Coleman’s required 40-week completion time. This completion time can’t be achieved
  • 12. Question (a)2 Include probability information in your discussion. What recommendations do you have if the 40-week completion time is required?
  • 13. Variance ( 2) • used to describe the dispersion or variation in the activity time values 2 b a 2 6
  • 14. ACTIVITY VARIANCE A 0.44 B 2.78 C 0.44 D 7.11 E 1.00 F 0.44 G 7.11 H 0.44 I 2.78 J 0.11 K 0.44 Variance of Each Activity
  • 15. Variance in the project completion time ( 2) 2 = 2 + 2 + 2 + 2 + 2 2 2 B C E F H+ J + K = 2.78 + 0.44 + 1.00 + 0.44 + 0.44 + 0.11 + 0.44 = 5.65 Standard deviation ( ) = √5.65 = 2.38
  • 16. Normal Distribution of Project Completion Time = 2.38 Expected Completion Time 43 Time (weeks)
  • 17. Probability the project will meet the 40-week completion time = 2.38 40 43 Time (weeks)
  • 18. At 40 ≤ T ≤ 43 z = (40 – 43) / 2.38 = 1.26 using table, Pr (40 ≤ T ≤ 43) = 0.3962 Pr (T ≤ 40) = 0.5000 – 0.3962 = 0.103 = 10.38%  We find that the probability of the project meeting the 40-weeks deadline is 10.38%. Thus, R.C Collman have a low chance if they want the project completed at 40-weeks
  • 19. Question (b) • Suppose that management request that activity times be shortened to provide an 80 percent chance of meeting the 40-week completion time. If the variance in the project completion time is the same as you found in (a), how much should the expected project completion time be shortened to achieved the goal of an 80 percent chance of completion within 40 weeks?
  • 20. Expected completion time to achieve 80% chance of completion within 40 weeks = 2.38 X 40 Time (weeks)
  • 21. Pr (T ≤ 40) = 0.8000 Pr (x ≤ T ≤ 40) = 0.8000 – 0.5000 = 0.3000 using table, z (x ≤ T ≤ 40) = 0.84 (40 – x) / 2.38 = 0.84 x = 38  It shows the project has to be shortened to 38 weeks to achieve the goal of an 80 % chance of completion within 40 weeks.
  • 22. Question (c) • Using the expected completion times as the normal times and the following crashing information, determine the activity crashing decisions and revised activity schedule for the warehouse expansion project
  • 23. Crash Time and Cost’s Information
  • 24. Maximum possible reduction in time, Mi M ' i i i (3) with i = expected time for activity I ’i = time for activity i under maximum crashing Crash cost per unit of time, Ki C' C K i i i M i with Ci = cost for activity I C’i = cost for activity i under maximum crashing
  • 25. TIME COST ACTIVITY Mj Kj NORMAL CRASHED NORMAL CRASHED A 6 4 1000 1900 2 450 B 9 7 1000 1800 2 400 C 4 2 1500 2700 2 600 D 12 8 2000 3200 4 300 E 10 7 5000 8000 3 1000 F 6 4 3000 4100 2 550 G 8 5 8000 10259 3 753 H 6 4 5000 6400 2 700 I 7 4 10000 12400 3 800 J 4 3 4000 4400 1 400 K 4 3 5000 5500 1 500
  • 27. EXCEL
  • 28. CRASHING ACTIVITY TIME (WEEKS) (WEEKS) A 6 0 B 7 2 C 4 0 D 12 0 E 10 0 F 5 1 G 8 0 H 6 0 I 7 0 J 3 1 K 3 1 Total Crashing Time 5 weeks Total Crashing Cost $ 2,250.00 Activity Crashing Decision