Risk analysis in plant commissioning: the Multilevel Hazop

Cagno, Enrico; Caron, Franco; Mancini, Mauro

doi:10.1016/s0951-8320(02)00064-9

Cited by 47 publications

(35 citation statements)

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“…(Almasi 2012;CII 1998). Shortages of experienced and trained personnel, especially in industrial facilities has contributed to the practice of trial and error in many facilities, with costs and schedule remaining unpredictable (Almasi 2012;Cagno et. al.…”

Section: Current Practices and Challengesmentioning

confidence: 99%

Critical Success Factors for Commissioning and Start-Up of Capital Projects

O’Connor

Choi

Winkler

2016

J. Constr. Eng. Manage.

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Section: Current Practices and Challengesmentioning

confidence: 99%

Critical Success Factors for Commissioning and Start-Up of Capital Projects

O’Connor

Choi

Winkler

2016

J. Constr. Eng. Manage.

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“…procedures [111][112][113][114]. Using similar guidewords, human tasks are identified and analyzed to find potential procedural deviations that may cause accidents.…”

Section: A Number Of Human Hazop Variants Have Been Developed To Analmentioning

confidence: 99%

Extending and automating a Systems-Theoretic hazard analysis for requirements generation and analysis.

Thomas

2012

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3To my family and my amazing wife. You were there for me through it all;for that I am forever grateful. While STPA has proven to be effective at addressing these problems, its application thus far has been ad-hoc with no rigorous procedures or model-based design tools to guide the analysis. In addition, although no formal structure has yet been defined for STPA, the process is based on a control-theoretic framework that could be formalized and adapted to facilitate development of automated methods that assist in analyzing complex systems. This dissertation defines a formal mathematical structure underlying STPA and introduces a procedure for systematically performing an STPA analysis based on that structure. A method for using the results of the hazard analysis to generate formal safety-critical, model-based system and software requirements is also presented.Techniques to automate both the STPA analysis and the requirements generation are introduced, as well as a method to detect conflicts between safety requirements and other functional model-based requirements during early development of the system.

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“…In the case of study the analysis has been carried out through the Multilevel Hazop [17] methodology and a related event tree (Fig. 3); a cognitive model of the operator based on SHEL [18] and PIPE [5] Human Hazop analysis (guide words); a taxonomy for the possible error type outlined in the recovery phase; a cognitive model for the evaluation of human behaviour in the recovery phase based on the framework proposed by Kontogiannis [19];…”

Section: Qualitativementioning

confidence: 99%

“…It is one of the most critical phases of the life cycle of a project: it demands greater specific knowledge, decision making and managerial skills. Operator errors during execution of plant-commissioning procedures have evident negative consequences such as delay in completion, waste of process materials, physical damage to the plant, inability to operate (at least for a certain period of time) under standard conditions, environmental pollution, serious injury to operators, damage to company image and contract penalties [17].…”

Section: Case Study: Hr Simulation Of a Commissioning Proceduresmentioning

confidence: 99%

A probabilistic cognitive simulator for HRA studies (PROCOS)

Trucco

Leva

2007

Reliability Engineering & System Safety

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The paper deals with the development of a simulator for approaching human errors in complex operational frameworks (e.g., plant commissioning). The aim is to integrate the quantification capabilities of the so-called 'first-generation' human reliability assessment (HRA) methods with a cognitive evaluation of the operator. The simulator allows analysing both error prevention and error recovery. It integrates cognitive human error analysis with standard hazard analysis methods (Hazop and event tree) by means of a 'semi static approach'. The comparison between the results obtained through the proposed approach and those of a traditional HRA method such as human error assessment and reduction technique, shows the capability of the simulator to provide coherent and accurate analysis. r

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Risk analysis in plant commissioning: the Multilevel Hazop

Cited by 47 publications

References 1 publication

Critical Success Factors for Commissioning and Start-Up of Capital Projects

Critical Success Factors for Commissioning and Start-Up of Capital Projects

Extending and automating a Systems-Theoretic hazard analysis for requirements generation and analysis.

A probabilistic cognitive simulator for HRA studies (PROCOS)

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