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MNO2607 Assignment 2 (COMPLETE ANSWERS) Semester 2 2024 - DUE 19 August 2024

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July 27, 2024
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Written in
2023/2024
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MNO2607 Assignment 2
(COMPLETE ANSWERS)
Semester 2 2024 - DUE 19 August
2024
100% guaranteed

, MNO2607 Assignment 2 (COMPLETE ANSWERS)
Semester 2 2024 - DUE 19 August 2024
1. Explain the process of gathering information for safety
performance measurement. (10)
Gathering information for safety performance measurement involves several systematic steps
aimed at ensuring comprehensive and accurate data collection. Here's an outline of the process:

1. Define Safety Metrics and Objectives:
o Identify Key Performance Indicators (KPIs): Select relevant metrics that align
with the organization's safety goals. These may include incident rates, near-
misses, safety training completion rates, and compliance with safety protocols.
o Set Clear Objectives: Establish specific, measurable, attainable, relevant, and
time-bound (SMART) objectives for safety performance. This provides a clear
benchmark for measurement.
2. Develop Data Collection Methods:
o Observation and Inspections: Regularly conduct safety inspections and observe
workplace conditions to identify potential hazards and assess compliance with
safety procedures.
o Incident Reporting Systems: Implement a system for reporting accidents, near-
misses, and unsafe conditions. Ensure that it is user-friendly and encourages
accurate and timely reporting.
o Surveys and Questionnaires: Use employee surveys and questionnaires to
gather qualitative data on safety perceptions, attitudes, and suggestions for
improvement.
o Automated Systems and Technology: Leverage technology, such as sensors and
safety management software, to collect real-time data on environmental
conditions and employee behavior.
3. Data Collection:
o Training and Awareness: Educate employees on the importance of accurate data
reporting and provide training on how to use reporting systems effectively.
o Consistent and Regular Data Collection: Ensure that data collection is
performed consistently and regularly to maintain data integrity and reliability.
4. Data Validation and Quality Assurance:
o Verification Processes: Implement procedures to verify the accuracy and
completeness of the collected data. This may include cross-checking incident
reports with medical records or safety inspection logs.
o Data Cleaning: Address any inconsistencies or errors in the data set to ensure
accurate analysis. This may involve correcting data entry errors or removing
duplicate entries.
5. Data Analysis:
o Quantitative Analysis: Use statistical tools and software to analyze numerical
data, such as calculating incident rates or identifying trends over time.

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