Prioritizing HAZOP analysis using analytic hierarchy process (AHP)

Othman, Mohamad Rizza; Rosshila, Idris; Hassim, Mimi Haryani; Ibrahim, W. H. W.

doi:10.1007/s10098-016-1104-4

Cited by 23 publications

(13 citation statements)

References 20 publications

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“…What is more, Gul (2018) [52] presented a significant review of OHS-risk assessment studies, via multi-criteria decision-making-based (MCDM) techniques. He incorporates in his work the fuzzy-side of MCDM techniques concerning OHS risk-assessment, and also refers to a structured methodology that uses prioritization (through T_AHP) in HAZOP analysis (presented by Othman et al (2016) [14]).…”

Section: The Typical-and Fuzzy-analytical-hierarchy-processmentioning

confidence: 99%

“…Nonetheless, although being efficient and well-organized for hazards' identification and risk-ranking in hazardous systems, HAZOP has its weaknesses; it is susceptible to ambiguous decisions, and, additionally, it has a variety of restrictions, like the subsequent: (a) it considers equivalent weights for the risk-factors (i.e., "low-probability/high-consequence" and "high-probability/low-consequence" hazards are approximately equivalent as far as the risk-ranking is concerned), and (ii) it utilizes accurate data, which are seldom available, particularly in the SCOPI's establishments [14,15].…”

Section: Introductionmentioning

confidence: 99%

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A HAZOP with MCDM Based Risk-Assessment Approach: Focusing on the Deviations with Economic/Health/Environmental Impacts in a Process Industry

et al. 2020

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A joint-analysis by the use of (i) the multi-criteria decision-making (MCDM) technique of Typical-Analytical-Hierarchy-Process (T_AHP) and Fuzzy-Analytical-Hierarchy-Process (F_AHP) with (ii) the Hazard and Operability (HAZOP) method respectively, was conducted in a sour-crude-oil process industry (SCOPI), focusing on the deviations with economic/health/environmental impact. Consequently, the intention of this paper is dual; that means the first one is the presentation and application of the traditional HAZOP method on a SCOPI, and the second one the illustration and usage of the combined HAZOP_TAHP/FAHP framework in the previous referred industry, via the resulted hazards with economical, health and also environmental impacts, unveiling the sustainable dimension of this approach. The choice of the particular SCOPI for executing the HAZOP process is greatly powerful for the implementation of this approach, due to the plentiful hazards that the process includes, and due to its sophisticated design, as well. Originally, the conventional HAZOP study was carried out for finding out the potential destructive causes of abnormal circumstances in the SCOPI’s establishment. Subsequently, the defined (by HAZOP) hazards with particular economic, health and environmental impacts were elaborated by the T_AHP and F_AHP techniques in order to broaden the HAZOP results and prioritize the risks in the worksite of the SCOPI. It is worthwhile mentioning that this joint-analysis can afford a reliable base to enhance procedure safety and upgrade the occupational health safety’s level (OHS). Likewise, it might be a constructive means for the decision-makers to: (i) evaluate the urgent situation of the restricted resources’ investment, in measures of preventing particular deviations (like the ones with economical, health and environmental consequences), and (ii) to endorse the sustainable growth of this industry, taking into account that a significant part of literature utilized the issue of sustainability as a frame for the development of OHS RAA techniques.

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Section: The Typical-and Fuzzy-analytical-hierarchy-processmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A HAZOP with MCDM Based Risk-Assessment Approach: Focusing on the Deviations with Economic/Health/Environmental Impacts in a Process Industry

et al. 2020

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“…Y = y 1 y 2 = Atmospheric pressure Pressure (33) With restrictions y 1 , y 2 ∈ {0, 1}, and y 1 + y 2 = 1, according to the device container, to set the possible condition equations in Table 10. We define the overpressure explosion probability as the b 3i data set and the vapor explosion probability as the b' 3i data set; the explosion probability matrix can then be constructed as shown in Equations (34) to (36…”

Section: Overpressure Explosion Model and Vapor Explosion Model Calcumentioning

confidence: 99%

“…Therefore, this article is based on the research of dynamic semi-quantitative real-time monitoring and management methods for major hazards in chemical industry parks as they relate to the operators, process/equipment, risk, building environment, safety management, and domino effect. We analyze and calculate these six factors and give a dynamic semi-quantitative calculation model of chemical hazards based on an analytical hierarchy process [36]. Using this model, the risk value of each chemical plant in a park can be accurately calculated, and the safety hazards of each chemical plant can be found according to the risk value.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Semi-Quantitative Risk Research in Chemical Plants

et al. 2019

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When a major accident occurs in a chemical industry park, it directly affects the personal safety of operators and neighboring residents and causes major losses; therefore, we should take measures to strengthen the management of chemical industry parks. This article proposes and analyzes a new dynamic semi-quantitative risk calculation model for chemical plants that can be applied digitally. This model provides a sustainable, standardized, and comprehensive management strategy for the safety management of chemical plants and chemical industry park managers. The model and its determined parameters were applied to the safety management of chemical companies within the chemical industry park of Quzhou, Zhejiang Province. From the point of view of the existing semi-quantitative model, the existing problems of the current model are analyzed, the current model is optimized, and a new dynamic semi-quantitative calculation model scheme is proposed. The new model uses an analytical hierarchy process targeting the factors affecting the risks in chemical plants, and chemical plant semi-quantitative dynamic calculation system consisting of the operator, process/equipment, risk, building environment, safety management, and domino effect, and the comprehensive risk of the chemical plant was calculated. The model is ultimately a real-time quantitative value, but its calculation process can compare and analyze the causes of high risk in a chemical plant as they relate to these six factors. Its implementation requires only software, which will greatly help chemical plant safety management.

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“…7 Analytical hierarchy process (AHP) is a simple, flexible, and practical MCDM, which breaks down complex problems into several progressive levels and determines weight by comparing indices. 8 Techniques for order preference by similarity to an ideal solution (TOPSIS) is a classical method to MCDM problems; evaluation schemes are sorted according to the distance relationship among data sequences. However, combining TOPSIS and AHP offers more favorable results; in this combination, TOPSIS is used for design selection, and AHP is applied to calculate weights for the concerned criteria.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of traffic congestion degree: An integrated approach

Hao

Feng

Zhang

et al. 2017

International Journal of Distributed Sensor Networks

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Intersection traffic congestion evaluation is essential for effective intelligent transportation system planning, and an objective and precise assessment of traffic congestion is vital to ensure the smooth circulation of traffic. Multiple criteria decision-making is a method for evaluating the degree of traffic congestion. A hybrid multiple criteria decision-making method integrating the fuzzy analytic hierarchy process, techniques for order preference by similarity to an ideal solution, and gray correlation techniques are presented in this work. The proposed method applied fuzzy analytic hierarchy process to determine the weight of the evaluation index; subsequently, gray correlation techniques for order preference by similarity to an ideal solution were integrated to construct the hybrid decision-making method. A case study of traffic congestion at intersections with five evaluation indexes verified the effectiveness of the hybrid method. The evaluation results of the different methods show that the proposed method overcomes the one-sidedness of analytical hierarchy process-techniques for order preference by similarity to an ideal solution and analytical hierarchy process-gray correlation. Thus, the proposed hybrid decision-making model provides a more accurate and reliable method for evaluating the degree of traffic congestion.

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Prioritizing HAZOP analysis using analytic hierarchy process (AHP)

Cited by 23 publications

References 20 publications

A HAZOP with MCDM Based Risk-Assessment Approach: Focusing on the Deviations with Economic/Health/Environmental Impacts in a Process Industry

A HAZOP with MCDM Based Risk-Assessment Approach: Focusing on the Deviations with Economic/Health/Environmental Impacts in a Process Industry

Dynamic Semi-Quantitative Risk Research in Chemical Plants

Evaluation of traffic congestion degree: An integrated approach

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