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RISS 인기검색어
- 검색키워드
- 저자 : Islam H. Afefy (검색결과 4 건)
- 무료
- 기관 내 무료
- 유료
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Hazard Analysis and Risk Assessments for Industrial Processes Using FMEA and Bow-Tie Methodologies
Islam H. Afefy 대한산업공학회 2015 Industrial Engineeering & Management Systems Vol.14 No.4
Several risk assessment techniques have been presented and investigated in previous research, focusing mainly on the failure mode and effect analysis (FMEA). FMEA can be employed to determine where failures can occur within industrial systems and to assess the impact of such failures. This research proposes a novel methodology for hazard analysis and risk assessments that integrates FMEA with the bow-tie model. The proposed method has been applied and evaluated in a real industrial process, illustrating the effectiveness of the proposed method. Specifically, the bowtie diagram of the critical equipment in the adopted plant in the case study was built. Safety critical barriers are identified and each of these is assigned to industrial process with an individual responsible. The detection rating to the failure mode and the values of risk priority number (RPN) are calculated. The analysis shows the high values of RPN are 500 and 490 in this process. A global corrective actions are suggested to improve the RPN measure. Further managerial insights have been provided.
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Hazard Analysis and Risk Assessments for Industrial Processes Using FMEA and Bow-Tie Methodologies
Afefy, Islam H. Korean Institute of Industrial Engineers 2015 Industrial Engineeering & Management Systems Vol.14 No.4
Several risk assessment techniques have been presented and investigated in previous research, focusing mainly on the failure mode and effect analysis (FMEA). FMEA can be employed to determine where failures can occur within industrial systems and to assess the impact of such failures. This research proposes a novel methodology for hazard analysis and risk assessments that integrates FMEA with the bow-tie model. The proposed method has been applied and evaluated in a real industrial process, illustrating the effectiveness of the proposed method. Specifically, the bowtie diagram of the critical equipment in the adopted plant in the case study was built. Safety critical barriers are identified and each of these is assigned to industrial process with an individual responsible. The detection rating to the failure mode and the values of risk priority number (RPN) are calculated. The analysis shows the high values of RPN are 500 and 490 in this process. A global corrective actions are suggested to improve the RPN measure. Further managerial insights have been provided.
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New Optimization Model for Multi-Period Multi-Product Production Planning System with Uncertainty
Asmaa A. Mahmoud,Mohamed F. Aly,Ahmed M. Mohib,Islam H. Afefy 대한산업공학회 2019 Industrial Engineeering & Management Systems Vol.18 No.4
The focus of this study is to develop a multi-period multi-product (MPMP) production planning system with uncertainty, and products demand (seasonal demand) uncertainty. Mainly, the problem aims reach the production levels ofeach product according to the uncertain demand for various periods, which depend on constraints of capacity, inventory, and resources. An analytical model proposed for this problem that can be categorized into two classes: non-linearand stochastic. The objective is to minimize the summation of variable production costs. As uncertain demand is adynamic stochastic data process in the planning horizon, it is considered as a tree model. Each stage in the demandtree model is related to a cluster of a period time. Hence, depending on the tree model for the fluctuation demand;Two-Stage Stochastic Programming (TSP) model is presented as an alternative for all demand scenarios. In some ofthe reviewed articles validation of the analytical model were missing, while other studies were missing either manufacturing set up costs or assumptions of seasonal demand. Therefore, this study proposes TSP model using SamplingAverage Approximation method (SAA) that is suitable for a production planning system in any manufacturing environment considering seasonal demand using optimization program (Lingo 16) to solve the mathematical model. Further, investigation of seasonal demand is performed using the multiplicative seasonal method, and the model validation was checked using Mathworks Matlab R2015a (64-Bit) considering manufacturing set up costs. Finally, somerecommendations for future research are suggested.
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An Efficient Maintenance Plan Using Proposed Framework of RCM Made Simple Approach
Eman K. Abd Elhalim,Ragab K. Abdel-Magied,Islam H. Afefy,Mohamed F. Aly 대한산업공학회 2019 Industrial Engineeering & Management Systems Vol.18 No.2
Reliability Centered Maintenance (RCM) is an effective maintenance strategy and a powerful tool for industrial system enhancement. In this paper, a Framework of RCM is proposed. RCM Made Simple approach is adopted instead of classical RCM to overcome its complexity. A comprehensive analysis is carried out using the proposed Framework which generates a maintenance plane for industrial systems. This analysis is applied on a real case study. The results revealed which component could be critical, potentially critical, commitment, or run to failure. Moreover, it presented the function of each component, failure modes, failure effects and its consequence on the system, failure causes, PM task required, PM frequency for each task, and how to prevent each failure cause. The Framework that proposed in this paper could be adopted as a simple approach to enhance the Reliability, Availability, and Maintainability (RAM) of the industrial systems.
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