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University of Nairobi Safety Management and Hazard Identification Analysis

University of Nairobi Safety Management and Hazard Identification Analysis

Q1) Failure mode and effects analysis (FMEA) is a step-by-step approach for identifying all possible failures in a design, a manufacturing or assembly process, or a product or service. This technique considers all possible outcomes from all failure modes or deviation. This mode of analysis is widely applied at different levels of complexity and is best suitable to analyze complex mechanical and electrical systems. Briefly discuss about FMEA roadmap used to complete failure mode analysis of a particular component. Perform an FME analysis on Subsea Blow out Preventer (BOP) used in offshore drilling process. (Minimum1500 words )

Q2) Hazard Identification and analysis is the process of identifying the hazards involved in a process
Industry and subsequent study for implementing mitigating measures. This study involves the integrated analysis of the potential risks involved in the operation of the process plant and focus on the problems associated with difference between the actual and proposed design. It also involves the problems associated with the operation of the plant. Major Causes of hazards in process industry includes deviation from the actual design and changes in operating conditions of the process variables. Citing suitable examples from process industry briefly explain about the following hazard analysis techniques:(1500 words)
I. Preliminary Hazard Analysis (PHA)
II. Fault Tree Analysis (FTA)
III. What if/Checklist Hybrid Analysis

Note:
Q1) minimum 1500 words Q2) minimum 1500 words
– Paraphrase
– include relevant calculation, and justification wherever necessary.
Include relevant pictures, diagrams, charts, graphs, tables etc. Give proper in-text-citations and reference (APA/Harvard style)
– include conclusion for etch quotation

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Attachments
20190610203504fmea (3 MB)20190610203513fmea_case_studies_02 (2 MB)20190610203522fta_fmea_case_studies (2 MB)20190610203526hasm_course_material (736 kB)

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