Human Factor and Reliability Analysis to Prevent Losses in Industrial Processes : An Operational Culture Perspective
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. Human Factor and Reliability Analysis to Prevent Losses in Industrial Processes: An Operational Culture Perspective provid...
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| 主要な著者: | , , |
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| フォーマット: | Livre numérique |
| 言語: | Anglais |
| 出版事項: |
San Diego, CA :
Elsevier Science
2022.
Paris : Cyberlibris |
| オンライン･アクセス: | Accès Université d'Orléans et IFPM Accès INSA CVL |
| 注記: |
Couverture. https://static2.cyberlibris.com/books_upload/136pix/9780128196519.jpg Cyberlibris (ScholarVox) corpus Sciences de l'ingénieur Cyberlibris (ScholarVox) corpus Sciences de l'ingénieur |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Human Factor and Reliability Analysis to Prevent Losses in Industrial Processes, An Operational Culture Perspective, Salvador Avila Filho, Ivone Conceicao De Souza Cerqueira, Carine Nogueira Santino, San Diego, CA, Elsevier Science, 2022, 1 vol. (1128 p.), 978-01-2819-650-2 |
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| 100 | 1 | |a Filho, Salvador Avila. | |
| 245 | 1 | 0 | |a Human Factor and Reliability Analysis to Prevent Losses in Industrial Processes : |b An Operational Culture Perspective |c Salvador Avila Filho, Ivone Conceicao De Souza Cerqueira, Carine Nogueira Santino. |
| 260 | |a San Diego, CA : |b Elsevier Science. | ||
| 260 | |a Paris : |b Cyberlibris, |c 2022. | ||
| 500 | |a Couverture. https://static2.cyberlibris.com/books_upload/136pix/9780128196519.jpg | ||
| 500 | |a Cyberlibris (ScholarVox) corpus Sciences de l'ingénieur | ||
| 500 | |a Cyberlibris (ScholarVox) corpus Sciences de l'ingénieur | ||
| 506 | |a L'accès en ligne est réservé aux établissements ou bibliothèques ayant souscrit l'abonnement. Cyberlibris | ||
| 520 | |a 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. 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 | ||
| 700 | 1 | |a Cerqueira, Ivone Conceicao De Souza. |4 aut | |
| 700 | 1 | |a Santino, Carine Nogueira. |4 aut | |
| 776 | 0 | |t Human Factor and Reliability Analysis to Prevent Losses in Industrial Processes |o An Operational Culture Perspective |f Salvador Avila Filho, Ivone Conceicao De Souza Cerqueira, Carine Nogueira Santino |c San Diego, CA |n Elsevier Science |d 2022 |p 1 vol. (1128 p.) |z 978-01-2819-650-2 | |
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