HAZOP Using Multi-criteria Decision Making (MCDM) and Fuzzy Logic
| dc.contributor.advisor | Campbell, Kyra Sedransk | |
| dc.contributor.author | aldossary, ahmed yousef | |
| dc.date.accessioned | 2025-02-26T05:54:46Z | |
| dc.date.issued | 2024-09-03 | |
| dc.description | The integrated application of AHP (Analytic Hierarchy Process), TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), and Fuzzy Logic in the risk assessment framework provided a comprehensive and effective approach for prioritizing safety measures in the paint mixing process at Al Basma Paints & Chemicals Factory. The combined methodologies allowed for a detailed evaluation of the relative importance of various parameters, including Pigment, Safety, Temperature, Impeller, Position, Mixing Time, and Agitation, in maintaining operational safety and product quality. 6.1 Key Findings: 1. High-Priority Parameters: a) Pigment Handling: The results consistently identified Pigment handling as the highest priority parameter across all methods. Training for operators and implementing control systems were found to be the most effective safety measures. This aligns with general theories on risk management, where human error in handling critical materials often leads to significant safety issues. | |
| dc.description.abstract | Conclusions and recommendations The working of paint mixers in the chemical manufacturing sector involves inherent safety and operational hazards - equipments malfunction, human errors in mixing and some variance in the process parameters. To advance safety management and operation effectiveness in such high-risk environments, this research project sought to design the integrated risk assessment model by integrating HAZOP analysis with MCDM tools that include AHP, TOPSIS and Fuzzy Logic. The first aim was to produce a shift towards a more systematic, objective and ‘unguardable’ framework to guide the identification of hazards and their risk evaluation. This was in the context of a project conducted within the Al Basma Paints & Chemicals Factory: The first part of the project was focused on a vigorous HAZOP analysis of the paint mixing process as well as risk analysis and risk assessment carried out based on a number of risk factors utilizing AHP. Then, a ranking of the safety measures based on the effectiveness was computed using TOPSIS, while, Fuzzy Logic was used to incorporate the uncertainties of the expert judgment. | |
| dc.format.extent | 52 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14154/74930 | |
| dc.language.iso | en | |
| dc.publisher | The University of Sheffield | |
| dc.subject | MSC | |
| dc.title | HAZOP Using Multi-criteria Decision Making (MCDM) and Fuzzy Logic | |
| dc.type | Thesis | |
| sdl.degree.department | master of science in engineering of this university process safety and loss prevention | |
| sdl.degree.discipline | process safety and loss prevention | |
| sdl.degree.grantor | The University of Sheffield | |
| sdl.degree.name | master of science in engineering |