Posted: November 16th, 2023
Assignment: Project Quality and Risk Management Tools Application
Assignment: Project Quality and Risk Management Tools Application
jective: Create and apply various tools and techniques used in Project Quality and Risk Management in a hypothetical project scenario of your choice. Ensure that each tool or technique is relevant to the scenario and effectively applied.
Project – Constructing a college building for Alpha College.
Apply Quality Management Tools:
Plan Quality: Use Cost-Benefit Analysis
Manage Quality: Develop Checklists
Control Quality: Create Cause and Effect Diagrams, Control Charts, and Histograms.
Apply Risk Management Tools:
Plan Risk: Conduct a SWOT Analysis
Perform Qualitative Risk Analysis: Conduct Probability and Impact Matrix
Perform Quantitative Risk Analysis: Conduct Decision Tree analysis, Sensitivity analysis or Monte Carlo Simulation (Choose 1).
Implement and Monitor Risks: Variance and Trend Analysis.
Submit a well-organized document showcasing the application of each tool and technique with relevant explanations and illustrations.
Criteria Excellent (9-10%) Good (7-8%) Satisfactory (5-6%) Needs Improvement (0-4%)
Project Scenario Selection Clear, relevant, and well thought out scenario Adequate scenario with some relevance Scenario lacks clarity or relevance Poorly chosen scenario
Application of Quality Management Tools Comprehensive and accurate application with clear relevance Good application but lacks depth or detail Basic application missing key aspects Poor or incorrect application
Application of Risk Management Tools Comprehensive and accurate application with clear relevance Good application but lacks depth or detail Basic application missing key aspects Poor or incorrect application
Explanation and Justification Clear, concise, and well-justified explanations Adequate explanations but lacks clarity or depth Explanations lack justification or coherence Poorly explained or justified
Organization and Presentation Well-organized, professionally presented, and free of errors Good organization, minor errors Disorganized or contains significant errors Poorly organized and presented
Submission Deadline: Nov 10, 2023
This assignment will allow students to showcase their understanding and ability to apply various tools and techniques in Project Quality and Risk Management in a practical scenario, enabling them to demonstrate their analytical and practical skills.
Font – Arial, Size 12
Font colour – Black
Start with a cover/title page
Use heading and subheading to mark the sections clearly
Use bullet points to highlight the main ideas and then elaborate if needed.
Use short paragraphs. Do not write the report in essay format.
Negative marking for poor Grammar and formatting (up to -2)
Submit your report in PDF format only
Project Scenario: [Title of Your Project]
[Provide a brief description of the project scenario you have chosen, explaining the project’s main objectives and key deliverables.]
Section 1: Application of Quality Management Tools
• Cost-Benefit Analysis
[Provide scenario and a description outlining the costs and benefits of implementing quality management practices and a table in your project.]
[Create scenario and include checklists that will be used to verify project or product completeness with proper description.]
• Cause and Effect Diagrams
[Include scenario and diagrams that identify the causes of defects or issues in your project with proper description.]
• Control Charts
[Include scenario and control charts template picture showing how processes behave over time with proper description.]
[Include scenario and histogram template picture showing how processes behave over time with proper description.]
Section 2: Application of Risk Management Tools
• SWOT Analysis
[Include scenario and a SWOT analysis table or diagram identifying strengths, weaknesses, opportunities, and threats with proper description.]
Perform Qualitative Risk Analysis
• Probability and Impact Matrix
[Include scenario and a matrix ranking risks based on their likelihood and potential impact with a visual representation – table/ diagram/ graph.]
Perform Quantitative Risk Analysis
• Decision Tree Analysis
[Describe and include scenario and results of analysis conducted with a visual representation – table/ diagram/ graph.]
• Sensitivity Analysis
[Describe and include scenario and results of the sensitivity analysis conducted with a visual representation – table/ diagram/ graph.]
• Monte Carlo Analysis
[Describe and include scenario and results of the Monte Carlo analysis conducted with a visual representation – table/ diagram/ graph.]
Implement and Monitor Risk
• Trend Analysis
[Describe and include scenario and results of the Trend analysis conducted with a visual representation – table/ diagram/ graph.]
[Provide a summary of the key findings and outcomes from applying the various tools and techniques in your project.]
[Include any additional documentation, charts, diagrams, or references that support your assignment.]
Quality Management Application
1. Cost-Benefit Analysis:
• Procedure: Evaluate the costs associated with the construction project against the
benefits of having a new college building.
• Expected Outcome: A detailed report highlighting that the long-term benefits (e.g.,
more student intake, better facilities) justify the initial investment.
Hypothetical Data: The construction cost is estimated at $5 million, with anticipated benefits including
increased enrollment by 500 students and a 10% rise in tuition revenue.
Expected Outcome: A report showing a break-even point within 5 years, taking into account the
increased enrollment and tuition revenue.
• Procedure: Create checklists for each phase of construction to ensure all standards and
regulations are met.
• Expected Outcome: Streamlined inspections and reduced likelihood of missed steps or
Hypothetical Data: Checklist items include adherence to building codes, environmental
regulations, and specific architectural design features.
Expected Outcome: Zero non-compliance issues and adherence to project specifications.
1. Cause and Effect Diagrams:
• Procedure: Diagram potential causes of quality issues in construction processes.
• Expected Outcome: Identification of root causes leading to proactive mitigation of
Hypothetical Data: Analysis of delayed material deliveries identifying supplier issues and transportation
delays as primary causes.
Expected Outcome: Implementation of a just-in-time delivery schedule and selection of more reliable
2. Control Charts:
• Procedure: Monitor various processes (e.g., cement mixing, curing times) using control
charts to ensure they stay within quality limits.
• Expected Outcome: Stabilized processes and minimized variance in quality.
Hypothetical Data: Monitoring temperature and humidity during the curing of concrete over a 30-day
Expected Outcome: All samples remaining within control limits, indicating a stable curing process.
• Procedure: Use histograms to visualize the frequency distribution of identified defects or
• Expected Outcome: Insights into the most common types of quality issues and their
Hypothetical Data: Distribution of inspection findings showing a high frequency of electrical installation
Expected Outcome: Targeted retraining of electricians and revision of electrical installation processes.
Risk Management Application
1. SWOT Analysis:
• Procedure: Analyze the Strengths, Weaknesses, Opportunities, and Threats related to
the construction project.
• Expected Outcome: A strategic view of internal and external factors that could impact
Hypothetical Data: Strengths include a prime location and strong contractor partnerships; Weaknesses
are a tight timeline and budget; Opportunities include potential for future expansion; Threats involve
potential zoning law changes.
Expected Outcome: Strategic focus on leveraging contractor relationships and expediting permit
Perform Quantitative Risk Analysis:
1. Sensitivity Analysis:
• Procedure: Examine how changes in project variables affect project outcomes.
• Expected Outcome: Identification of the most critical variables influencing project
Hypothetical Data: The project’s completion date is most sensitive to delays in obtaining building
permits and the delivery of structural steel.
Expected Outcome: Emphasis on expediting permit approval and securing steel delivery contracts.
2. Monte Carlo Simulation:
• Procedure: Simulate the effect of identified risks on project objectives using
• Expected Outcome: Probabilistic analysis of achieving project goals on time and within
Hypothetical Data: Simulation results show a 25% chance of budget overrun and a 15% chance of
extending beyond the deadline.
Expected Outcome: Establishment of a contingency reserve and a review of the project schedule to
identify time-saving measures.
Implement and Monitor Risks:
1. Variance and Trend Analysis:
• Procedure: Analyze performance data to identify variances from the plan and emerging
• Expected Outcome: Early warning signs of potential issues, allowing for preemptive
Hypothetical Data: Trend analysis shows increasing delays in permit approvals.
Expected Outcome: Early engagement with permitting authorities to expedite processes.