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Human Factor and Reliability Analysis to Prevent Losses in Industrial Processes
An Operational Culture Perspective
- 1st Edition - March 23, 2022
- Authors: Salvador Avila Filho, Ivone Conceicao de Souza Cerqueira, Carine Nogueira Santino
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 1 9 6 5 0 - 2
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 1 9 6 5 1 - 9
Human reliability is an issue that is increasingly discussed in the process and manufacturing industries to check factors that influence operator performance and trigger errors. Hu… Read more
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Request a sales quoteHuman reliability is an issue that is increasingly discussed in the process and manufacturing industries to check factors that influence operator performance and trigger errors. Human Factor and Reliability Analysis to Prevent Losses in Industrial Processes: An Operational Culture Perspective provides a multidisciplinary analysis of work concepts and environments to reduce human error and prevent material, energy, image, and time losses.
The book presents a methodology for the quantification and investigation of human reliability, and verification of the influence of human factors in the generation of process losses, consisting of the following steps: contextualization, data collection, and results; performing task and loss observation; socio-technical variable analyses; and data processing. Investigating human reliability, concepts, and models in situations of human error in practice, the book identifies where low reliability occurs and then visualizes where and how to perform an intervention. This guide is an excellent resource for professionals in chemical, petrochemical, oil, and nuclear industries for managing and analyzing safety and loss risks and for students in chemical and process engineering.
- Relates human reliability to the environment, leadership, decision models, possible mistakes and successes, mental map constructions, and organizational cultures
- Provides techniques for the diagnosis of human and operational reliability
- Gives examples of the application of methodologies in the stage of diagnosis and program construction
- Discusses competences for the analysis of process losses in industry
- Investigates real-life situations where human errors cause losses
- Includes practical examples and case studies
Professionals in chemical, petrochemical, oil, and nuclear industry managing and analyzing safety and loss risks; graduate students in chemical and process engineering; postgraduate students in management and process engineering
- Cover image
- Title page
- Table of Contents
- Copyright
- About the authors
- Preface
- 1 Paradigms
- 2 Book structure
- 3 Products related to the chapters
- Acknowledgment
- Chapter 1. Introduction
- Abstract
- 1.1 A brief discussion
- 1.2 Discussion timeline and schools
- 1.3 Worker role in job and society: human error
- 1.4 Risk management on material losses and operations
- References
- Chapter 2. Human reliability and cognitive processing
- Abstract
- 2.1 Human reliability
- 2.2 Human reliability and cognitive processing
- References
- Chapter 3. Factors affecting the performance of tasks
- Abstract
- 3.1 Human and social typology
- 3.2 Task assessment
- 3.3 Discussion about API 770
- References
- Chapter 4. Process loss assessment
- Abstract
- 4.1 Context
- 4.2 Competencies to assess process losses
- 4.3 Losses in the process industries
- 4.4 Diagnosis of process losses
- 4.5 Cases: diagnostics with quantitative and qualitative analysis
- References
- Chapter 5. Learned lessons: human factor assessment in task
- Abstract
- 5.1 Routine, environments, human types, and class of errors
- 5.2 Routine learning: guidelines for human reliability
- 5.3 Lessons learned and validation of the guidelines
- 5.4 Human reliability, sociotechnical reliability, culture of safety demands
- References
- Chapter 6. Human reliability: SPAR-H cases
- Abstract
- 6.1 Introduction
- 6.2 Concepts and SPAR-H calibration
- 6.3 Case studies
- 6.4 Comparative analysis
- 6.5 Integrated reliability: the beginning
- References
- Chapter 7. Human reliability: chemicals and oil and gas cases
- Abstract
- 7.1 Methodology description
- 7.2 Chemical industry case application
- 7.3 Oil and gas case application
- 7.4 Qualitative results: chemical industry cases
- 7.5 Quantitative results: oil and gas case
- 7.6 Future work: task cross-assessment based on particle swarm model
- References
- Chapter 8. Conclusion and products
- Abstract
- 8.1 Conclusion
- 8.2 Future book: human factor routine and emergency analysis
- 8.3 Products in general
- 8.4 Product 1 (Chapter 4)—process loss mapping
- 8.5 Product 2—task assessment—PADOP
- 8.6 Product 3—cognitive quality
- 8.7 Product 4—human reliability SPARH
- 8.8 Product 5—social-technical reliability
- 8.9 Product 6—operational-technical culture and prediction
- References
- Annex
- A.1 Process loss map (Product 01)
- A.2 Calibration of the SPAR-H method
- A.3 Task assessment
- A.4 Technical survey
- A.5 Social typology
- A.6 Human typology
- A.7 Exercise
- List of Abbreviations
- Glossary
- Index
- No. of pages: 570
- Language: English
- Edition: 1
- Published: March 23, 2022
- Imprint: Elsevier
- Paperback ISBN: 9780128196502
- eBook ISBN: 9780128196519
SF
Salvador Avila Filho
Id
Ivone Conceicao de Souza Cerqueira
CN