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Human Factor and Reliability Analysis to Prevent Losses in Industrial Processes: An Operational Culture Perspective aims to initiate a multidisciplinary discussion on risk activities by reviewing human reliability in industrial processes to reduce 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, task perform and loss observation, social technical variable analyses, and data processing (datamining, PCA, fuzzy and results).
The book investigates human reliability, concepts and models in situations of human error in practice, identifies where low reliability occurs, and then visualizes where and how to perform an intervention.
- 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
2. Cognitive Processing and Human Reliability
3. Worker Performing Task
4. Process Losses Assessment
5. Learned Lessons: Human Factor Assessment Task
6. Human Reliability: SPARH Cases
7. Human Reliability: PLG Plant
Appendices: Human Reliability and Losses
A. Human Reliability in Amines and Polymers
B. Technical Survey
C. Task Analysis
D. Social Survey and Human
E. Loss Process and Program
F. Forms and Tables
- No. of pages:
- © Elsevier 2021
- 1st May 2021
- Paperback ISBN:
Salvador Ávila Filho - Chemical Engineer (UFBA) and Petrochemical Processing (Petrobrás) applied his knowledge to the Chemical Industry. Specialized in: statistical techniques (CQE / ASQ) to investigate abnormalities in the industry and as Organizational Consultant (UCSal) for transformation of Culture. Developed auditing techniques, effluent control and fugitive emissions to reduce environmental impacts in the industry. He developed a technique that analyzes the perception of the operators regarding Clean Routines (UFBA). Acting as Manager of industrial facilities created model for Clean Management. As professor he taught disciplines in the Graduation of Administration, Chemical Engineering and of Production in Universities. Meanwhile, human aspects are investigated in the courses and practices of Psychoanalysis allowing to enter by the fault in the behavior in the society and the work. It has partnerships in the private initiative in Reliability Centered Maintenance (MCC) and Human Reliability. Doctoral research (UFRJ) in the human and organizational cultures area provides concepts, techniques and methods to keep processes under control. Articles were presented in the areas of Human Factors, Risk, Process Safety, Energy and Water Efficiency and currently in the area of Culture and Behavior Change. Work in the Energy area was developed with a solution for productive arrangements. Contributed to reduce the load of N effluent of the fertilizer industry with: statistics, process studies, equipment technology, investigation of procedures, educational campaign (Friends of the Lagoon). Professor and Researcher of UFBA in the Department of Mechanical Engineering conducts research and Services in the areas of Risk Management (RISKDYN); Organizational Culture and Human Reliability (EVOLUTION C; SARS; RECHA); loss of process, process, energy and water (P3NET; ELOS R) and operational. Currently has cooperation with: RLAM (Refinery) in the area of Energy Efficiency, UOBA Active North in the area of Reliability and Risk, Secretariat of Public Security in the area of Risk in Mega-event and Behavior of the police force of the State of Bahia
University Federal da Bahia, Salvador, Brazil
Ivone Conceição de Souza Cerqueira – Graduated in Nutrition from the Federal University of Bahia. Federal Public Servant, Ministry of Education - Federal University of Bahia, since 1982. Currently Coordinator of the Nucleus of Follow-up of Assessments of Undergraduate Courses - Pro Rectory of Undergraduate - UFBA. Specialist in Hospital Management by the Institute of Collective Health / UFBA, 1996. Specialist in Clinical Nutrition by the University of Navarro. Specialist in People Management by the School of Administration, UFBA. Master in Medicine and Health, Faculty of Medicine, UFBA. Member of the Communication and Health Research Group - UFBA Institute of Collective Health. Experience in International Hospital Accreditation in the areas of Education and Professional Qualification and Facilities Security. Post graduate in Security of Major Events - Centro Universitário Estácio da Bahia; Articles in the area of Security, Risk in Mega-event, Human Factor, Leadership and human reliability. Doctorate in Industrial Engineering - Polytechnic School - Federal University of Bahia-2017.1- 2020.1.
Universidade Federal da Bahia, Salvador, Brazil
Carine Nogueira Santino – Graduated in Production Engineering from Salvador University. Master in Industrial Engineering from UFBA, working in the area of mapping losses in a metallurgical industry. Professional experience in the area of quality, where he performed activities in the area of quality in a Steel Industry, involving audits and Six Sigma project; has experience in the area of people management, working for 4 years in Human Resources. Member of the Research Group GRODin-Polytechnic School-UFBA- research group at risk dynamic, and topics that address reliability safety and reduction of environmental impacts. Articles in the areas of process safety, human reliability and loss mapping
Universidade Federal da Bahia, Salvador, Brazil
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