A risk-based methodology to estimate shutdown interval considering system availability

Hameed, Abdul Zubar; Khan, Faisal; Ahmed, Salim

doi:10.1002/prs.11722

Cited by 13 publications

(4 citation statements)

References 30 publications

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“…Hence, the research team decided to include an element relating to planning for shutdown activities. Hammed [44] states that planning for shutdown should begin well in advance and it should involve all the departments such as procurement, engineering, maintenance, operations, quality assurance, HSE, security, and administration. This view was also concurred by the maintenance and shutdown/turnaround professionals who participated in this study.…”

Section: Construction Methods (V)mentioning

confidence: 99%

Assessing the Implementation of Best Productivity Practices in Maintenance Activities, Shutdowns, and Turnarounds of Petrochemical Plants

Krishnankutty¹,

Hwang

Caldas

et al. 2019

Sustainability

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This paper describes the development of a method to assess the level of implementation of best productivity practices in the petrochemical industry. The proposed methodology focuses on construction, maintenance activities, shutdowns, and turnarounds. Its novelty and importance are emphasized by the lack of productivity studies that target these types of projects. This article reports the research methodology steps including tool development and detailed case study assessments of projects in Singapore. The approach involved the verification of best productivity practices and the development of an assessment method designed to fit the characteristics of petrochemical projects. The assessment points out productivity practices with low implementation levels and provides recommendations to increase their usage. The results showed that the level of implementation of productivity practices in the petrochemical projects investigated was 68.42%, out of a maximum score of 100%. Practices related to Material Management and Equipment Logistics received the lowest scores and recommendations on how to bridge this productivity practice implementation gap were provided. The adoption of the Best Productivity Practices Implementation Index (BPPII) as a Productivity management tool will help the petrochemical plants to improve productivity in their projects and to be resilient during the pre-planning phase. This should also allow the petrochemical industry to attract more investments and remain competitive in order to be sustainable. The identification and analysis of practices related to maintenance activities, shutdowns, and turnarounds of petrochemical plants will significantly contribute to the body of knowledge on best productivity practice.

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Section: Construction Methods (V)mentioning

confidence: 99%

Assessing the Implementation of Best Productivity Practices in Maintenance Activities, Shutdowns, and Turnarounds of Petrochemical Plants

Krishnankutty¹,

Hwang

Caldas

et al. 2019

Sustainability

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“…Several previous studies have presented risk-based maintenance (RBM) methods [15][16][17][18][19][20][21][22][23][24][25][26], and they have not considered the risk consequences such as human health loss, asset loss, production loss, and maintenance costs. Some studies have suggested risk-based shutdown interval models, such as those proposed by Khan and Hameed [27] and Hameed et al [28]. However, in those studies, the optimal inspection interval has been calculated based on the system's pre-determined acceptable risks, and the studies have not proposed a model to calculate the optimal risk value.…”

Section: Literature Reviewmentioning

confidence: 99%

A New Integrated Risk-Assessment Model for Minimizing Human-Machine Error Consequences in a Preventive Maintenance System

et al. 2023

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In this paper, a risk-assessment model for minimizing human-machine error consequences during the implementation of preventive maintenance tasks has developed. The developed model aimed to find the optimal preventive maintenance interval (PMI) and corresponding minimum risk consequences costs per unit of time. Based on expert judgment, a human error probability (HEP) model was developed using the success likelihood index methodology (SLIM). In addition, we developed a system failure probability (SFP) model based on the failure and repair data of the system. The HEP model was integrated with an SFP model to develop a human-machine error model. Then, the risk-assessment model was developed based on the consequences of system failure and human error. The effectiveness of the developed human-machine error model was shown by applying a numerical example for a multi-component series system. The optimization toolbox from MATLAB R2022b was applied to solve the developed human-machine model. The results showed that the optimal PMI can be implemented after 24 working hours to 105 hours under the acceptable limit of risk in the system which is 100 SR/h. Finally, the developed model is an effective method that can be applied to a wide range of manufacturing systems to minimize financial risks related to system inspection and maintenance while meeting safety and availability requirements.

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“…Furthermore, shutdown maintenance is one of the maintenance management strategies that are mainly used in the process industry for availability and reliability improvement. In light of this, Hameed et al (2015) developed a risk-based methodology using the Markov process to estimate the shutdown interval for optimal inspection and maintenance considering availability and safety aspects. Moreover, Belkhode (2018) investigated the main variables that can contribute to the improvement of maintenance activities from ergonomic point of view.…”

Section: Maintenance and Social Aspectsmentioning

confidence: 99%

Maintenance and sustainability: a systematic review of modeling-based literature

Saihi

Ben‐Daya

As’ad

2022

JQME

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PurposeMaintenance is a critical business function with a great impact on economic, environmental and social aspects. However, maintenance decisions' planning has been driven by merely economic and technical measures with inadequate consideration of environmental and social dimensions. This paper presents a review of the literature pertaining to sustainable maintenance decision-making models supported by a bibliometric analysis that seeks to establish the evolution of this research over time and identify the main research clusters.Design/methodology/approachA systematic literature review, supported with a bibliometric and network analysis, of the extant studies is conducted. The relevant literature is categorized based on which sustainability pillar, or possibly multiple ones, is being considered with further classification outlining the application area, modeling approach and the specific peculiarities characterizing each area.FindingsThe review revealed that maintenance and sustainability modeling is an emerging area of research that has intensified in the last few years. This fertile area can be developed further in several directions. In particular, there is room for devising models that are implementable, based on reliable and timely data with proven tangible practical results. While the environmental aspect has been considered, there is a clear scarcity of works addressing the social dimension. One of the identified barriers to developing applicable models is the lack of the required, accurate and timely data.Originality/valueThis work contributes to the maintenance and sustainability modeling research area, provides insights not previously addressed and highlights several avenues for future research. To the best of the authors' knowledge, this is the first review that looks at the integration of sustainability issues in maintenance modeling and optimization.

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A risk-based methodology to estimate shutdown interval considering system availability

Cited by 13 publications

References 30 publications

Assessing the Implementation of Best Productivity Practices in Maintenance Activities, Shutdowns, and Turnarounds of Petrochemical Plants

Assessing the Implementation of Best Productivity Practices in Maintenance Activities, Shutdowns, and Turnarounds of Petrochemical Plants

A New Integrated Risk-Assessment Model for Minimizing Human-Machine Error Consequences in a Preventive Maintenance System

Maintenance and sustainability: a systematic review of modeling-based literature

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