Embracing and Extending Project Management Techniques: CPM and PERT along with Theory of Constraints(TOC) for Effective Management of the Mangalore Metro- A TEACHING CASE
NAMMA MANGALURU"S METRO - SURVIVING THROUGH PROJECT MANAGEMENT AND THEORY OF CONSTRAINTS
Embracing and Extending Project
Management Techniques: CPM and PERT along with Theory of Constraints (TOC) for
Effective Management of the Mangalore Metro—A TEACHING CASE
Background
The city of Mangalore, a prominent coastal hub in Karnataka, is
facing increasing pressure on its public transportation system due to rapid
urban growth and vehicular congestion. To address this, the government has
proposed the Mangalore Metro Project, an elevated rapid transit corridor
designed to provide a sustainable and efficient public transport alternative.
The proposed Phase I spans 20 kilometers and includes 16 elevated
stations, a central depot, and integration points with the Mangalore airport
and city bus network. The project is targeted to be completed in 36 months.
Given the scale, coordination across multiple agencies, and the risks of
delays, robust project planning methods are critical.
This case presents a hypothetical but realistic opportunity for
students to embrace and extend Critical Path Method (CPM) and Program
Evaluation Review Technique (PERT) to simulate and manage such a complex
infrastructure project while at the same time extinguishing lack of recognition
of Project managers.
Project Scope Summary
·
Corridor
Length: 20 km (elevated)
·
Stations: 16
·
Key
Depot Location: Kulasekhara
·
Possible
Integration Points: Airport, Thumbe/Kannur, KSRTC
terminal, Ullal,/Thokkotu, Hoggie Bazaar, Baikampady Industrial area
·
Execution
Timeframe (Target): 36 months
Objectives of
the Case Study
1.
Apply PERT to calculate
expected project durations and understand uncertainty.
2.
Use CPM to determine the
critical path and identify project bottlenecks.
3.
Evaluate slack in non-critical
activities and discuss project flexibility.
4.
Compute the Z-score to estimate the
probability of on-time project completion.
5.
Explore time-cost trade-offs
and the potential role of the Theory of Constraints (TOC).
Based on the background details of Mangalore Metro, the program evaluation and review technique (PERT)
can be applied as in the below table
Project
Activities and Time Estimates
ID |
Activity |
Predecessor(s) |
Time Estimates (months) |
A |
Land Acquisition |
– |
O=4, M=6, P=10 |
B |
Utility Shifting |
A |
O=1, M=2, P=3 |
C |
Soil Testing & Survey |
A |
O=2, M=3, P=5 |
D |
Foundation & Piling |
B, C |
O=4, M=6, P=8 |
E |
Pier & Viaduct Construction |
D |
O=10, M=12, P=15 |
F |
Station Box Work (16 stations) |
D |
O=5, M=6, P=9 |
G |
Depot Construction |
D |
O=6, M=8, P=10 |
H |
Track Laying |
E |
O=4, M=5, P=6 |
I |
Signaling & Telecom Setup |
F |
O=2, M=3, P=6 |
J |
Rolling Stock Procurement |
A |
O=6, M=8, P=10 |
K |
System Integration |
H, I, J |
O=3, M=4, P=6 |
L |
Trial Runs & Safety Certification |
K |
O=1, M=2, P=3 |
TABLE 1
The network diagram is given below (Figure 1)
Figure 1
Key Analysis
Results (Summary)
·
Critical
Path: A → C → D → F → I → J
·
Expected
Project Duration: 35.83 months
·
Standard
Deviation: 1.555 months
·
Probability
of Completion within 37 Months: 77.34%
TOC
Application in Mangalore Metro
1. Identifying
the Constraint:
·
The critical path (A → C → D →
F → I → J) represents the system constraint. TOC views this as the drum.
2. Buffer
Management:
·
Introduce a project buffer of 2
months before activity K to increase the confidence of completing within 37
months.
·
Feeding buffers can be added
before activity D from B and C.
3. Exploiting
and Subordinating:
·
Align all support and resource
allocation to keep critical activities on schedule.
4. Elevating
the Constraint:
·
Consider crashing or
reallocating resources to station box work (F) or signaling setup (I).
5.
Drum-Buffer-Rope Configuration:
·
Drum: Activity F – Station Box Work
·
Buffer: Inserted before K
·
Rope: Monitoring and signaling from system integration team
6. Continuous
Improvement:
·
TOC recommends dynamic
reallocation of resources as buffer consumption trends are monitored in real
time.
Conclusions
This case enables students to connect theoretical project management
concepts with a real-world infrastructure problem. It encourages the use of
quantitative tools (CPM, PERT, Z-score) along with strategic thinking on
resource constraints and coordination challenges. It also sets the stage for
integrating traditional tools with modern PM methods like Agile, TOC, and
data-driven dashboards.
This case is ideal for courses in operations management, infrastructure planning, or engineering project management and is suitable for
classroom discussions, assignments, or competition presentations.
Teaching Notes For the Teacher
Target
Audience: MBA, M.Tech, or senior undergraduate
students in project management, operations, or construction engineering.
Time Required: 60–90 minutes classroom session
Teaching
Objectives:
·
Understand and apply CPM and
PERT to a real-world infrastructure project.
·
Evaluate uncertainty using PERT
and probabilistic models.
·
Encourage discussion on
managerial decision-making under constraints.
·
Apply Theory of Constraints for
managing large-scale public projects.
Suggested
Flow:
1.
Brief project introduction and
background (10 mins)
2.
Group work: Build network and
compute critical path/TE/variance (25 mins)
3.
Instructor-led discussion:
Slack, crashing, Z-score interpretation (20 mins)
4.
Open discussion: Decision
trade-offs, TOC, Agile integration (15 mins)
5.
Wrap-up with takeaways and
applications (10 mins)
Assessment
Opportunities:
·
Short write-up on project risk
handling
·
Group presentation of findings
·
Quiz on CPM/PERT logic and
calculations
Discussion
Questions
1.
What is the significance of
identifying the critical path in the Mangalore Metro project?
2.
How can project managers use
float/slack information in decision-making?
3.
Given the Z-score analysis, how
should managers plan buffers?
4.
Should activity E (viaduct
construction) be crashed to save time?
5.
How could Theory of Constraints
improve on CPM/PERT in this case?
6.
What would be the
drum-buffer-rope configuration for Mangalore Metro?
7.
How does TOC view project
completion risk differently than PERT?
Teaching Aids
Provided
·
Network Diagram (AON format)
·
CPM/PERT calculation tables
(TE, variance, slack)
·
Z-score computation sheet
·
Discussion questions and
extension topics
Instructor
Tips:
·
Prepare a pre-drawn AON network
to speed up class time.
·
Allow groups to argue different
critical paths if assumptions vary.
·
Use software tools (Excel, MS
Project) for bonus/demonstration.
·
Introduce the public-private partnership (PPP) model as an advanced layer.
·
Encourage students to critique
CPM vs TOC assumptions in project management.
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