MMOSA – A new approach of the human and organizational factor analysis in PSA
The results of many Probabilistic Safety Assessment (PSA) studies show a very significant contribution of human errors to nuclear installations failure. This paper is intended to analyze both the human performance importance in PSA studies and the elements that influence it. Starting from Man–Machin...
Gespeichert in:
Veröffentlicht in: | Reliability engineering & system safety 2014-03, Vol.123, p.91-98 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 98 |
---|---|
container_issue | |
container_start_page | 91 |
container_title | Reliability engineering & system safety |
container_volume | 123 |
creator | Farcasiu, M. Prisecaru, I. |
description | The results of many Probabilistic Safety Assessment (PSA) studies show a very significant contribution of human errors to nuclear installations failure.
This paper is intended to analyze both the human performance importance in PSA studies and the elements that influence it. Starting from Man–Machine–Organization System (MMOS) concept a new approach (MMOSA) was developed to allow an explicit incorporation of the human and organizational factor in PSA studies. This method uses old techniques from Human Reliability Analysis (HRA) methods (THERP, SPAR-H) and new techniques to analyze human performance. The main novelty included in MMOSA is the identification of the machine–organization interfaces (maintenance, modification and aging management plan and state of man–machine interface) and the human performance evaluation based on them.
A detailed result of the Human Performance Analysis (HPA) using the MMOSA methodology can identify any serious deficiencies of human performance which can usually be corrected through the improvement of the related MMOS interfaces.
•MMOSA allows the incorporation of the human and organizational factor in PSA.•The method uses old techniques and new techniques to analyze human performance.•The main novelty is the identification of the machine–organization interfaces.•The MMOSA methodology identifies any serious deficiencies which can be corrected. |
doi_str_mv | 10.1016/j.ress.2013.10.004 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1671556330</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0951832013002883</els_id><sourcerecordid>1671556330</sourcerecordid><originalsourceid>FETCH-LOGICAL-c363t-bc428bed5688b5478ec19ab7d5b7a4bed7bb945d5703292a93d5d7c534757a913</originalsourceid><addsrcrecordid>eNp9kM9KAzEQxoMoWKsv4CkXwcuuyWazyYKXIv6DlgrVc5jNZm3KNluTrVJPvoNv6JOY0uLR08B8v_lm5kPonJKUElpcLVJvQkgzQllspITkB2hApSgTIllxiAak5DSRLCPH6CSEBYlEycUATSeT6WyEf76-8Qg784FhtfId6DnuGtzPDZ6vl-AwuBp3_hWc_YTedg5a3IDuOx8VaDfBBmwdfpqNTtFRA20wZ_s6RC93t883D8l4ev94MxonmhWsTyqdZ7IyNS-krHgupNG0hErUvBKQR0FUVZnzmgvCsjKDktW8FpqzXHABJWVDdLnzjde-rU3o1dIGbdoWnOnWQdFCUM4LxkhEsx2qfReCN41aebsEv1GUqG16aqG26altettezCYOXez9IWhoGw9O2_A3mUkmc06KyF3vOBOffbfGq6CtcdrU1hvdq7qz_635BedrhPM</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1671556330</pqid></control><display><type>article</type><title>MMOSA – A new approach of the human and organizational factor analysis in PSA</title><source>ScienceDirect Journals (5 years ago - present)</source><creator>Farcasiu, M. ; Prisecaru, I.</creator><creatorcontrib>Farcasiu, M. ; Prisecaru, I.</creatorcontrib><description>The results of many Probabilistic Safety Assessment (PSA) studies show a very significant contribution of human errors to nuclear installations failure.
This paper is intended to analyze both the human performance importance in PSA studies and the elements that influence it. Starting from Man–Machine–Organization System (MMOS) concept a new approach (MMOSA) was developed to allow an explicit incorporation of the human and organizational factor in PSA studies. This method uses old techniques from Human Reliability Analysis (HRA) methods (THERP, SPAR-H) and new techniques to analyze human performance. The main novelty included in MMOSA is the identification of the machine–organization interfaces (maintenance, modification and aging management plan and state of man–machine interface) and the human performance evaluation based on them.
A detailed result of the Human Performance Analysis (HPA) using the MMOSA methodology can identify any serious deficiencies of human performance which can usually be corrected through the improvement of the related MMOS interfaces.
•MMOSA allows the incorporation of the human and organizational factor in PSA.•The method uses old techniques and new techniques to analyze human performance.•The main novelty is the identification of the machine–organization interfaces.•The MMOSA methodology identifies any serious deficiencies which can be corrected.</description><identifier>ISSN: 0951-8320</identifier><identifier>EISSN: 1879-0836</identifier><identifier>DOI: 10.1016/j.ress.2013.10.004</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Accident ; Applied sciences ; Assessments ; Biological and medical sciences ; Ergonomics. Human factors ; Exact sciences and technology ; Firm modelling ; Fundamental and applied biological sciences. Psychology ; Human ; Human performance ; Machine ; Maintenance ; Man-machine interfaces ; Nuclear ; Nuclear engineering ; Nuclear safety ; Occupational psychology ; Operational research and scientific management ; Operational research. Management science ; Organization ; Psychology. Psychoanalysis. Psychiatry ; Psychology. Psychophysiology ; Reliability analysis ; Reliability theory. Replacement problems</subject><ispartof>Reliability engineering & system safety, 2014-03, Vol.123, p.91-98</ispartof><rights>2013 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c363t-bc428bed5688b5478ec19ab7d5b7a4bed7bb945d5703292a93d5d7c534757a913</citedby><cites>FETCH-LOGICAL-c363t-bc428bed5688b5478ec19ab7d5b7a4bed7bb945d5703292a93d5d7c534757a913</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ress.2013.10.004$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3548,27922,27923,45993</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28384506$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Farcasiu, M.</creatorcontrib><creatorcontrib>Prisecaru, I.</creatorcontrib><title>MMOSA – A new approach of the human and organizational factor analysis in PSA</title><title>Reliability engineering & system safety</title><description>The results of many Probabilistic Safety Assessment (PSA) studies show a very significant contribution of human errors to nuclear installations failure.
This paper is intended to analyze both the human performance importance in PSA studies and the elements that influence it. Starting from Man–Machine–Organization System (MMOS) concept a new approach (MMOSA) was developed to allow an explicit incorporation of the human and organizational factor in PSA studies. This method uses old techniques from Human Reliability Analysis (HRA) methods (THERP, SPAR-H) and new techniques to analyze human performance. The main novelty included in MMOSA is the identification of the machine–organization interfaces (maintenance, modification and aging management plan and state of man–machine interface) and the human performance evaluation based on them.
A detailed result of the Human Performance Analysis (HPA) using the MMOSA methodology can identify any serious deficiencies of human performance which can usually be corrected through the improvement of the related MMOS interfaces.
•MMOSA allows the incorporation of the human and organizational factor in PSA.•The method uses old techniques and new techniques to analyze human performance.•The main novelty is the identification of the machine–organization interfaces.•The MMOSA methodology identifies any serious deficiencies which can be corrected.</description><subject>Accident</subject><subject>Applied sciences</subject><subject>Assessments</subject><subject>Biological and medical sciences</subject><subject>Ergonomics. Human factors</subject><subject>Exact sciences and technology</subject><subject>Firm modelling</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Human</subject><subject>Human performance</subject><subject>Machine</subject><subject>Maintenance</subject><subject>Man-machine interfaces</subject><subject>Nuclear</subject><subject>Nuclear engineering</subject><subject>Nuclear safety</subject><subject>Occupational psychology</subject><subject>Operational research and scientific management</subject><subject>Operational research. Management science</subject><subject>Organization</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychology. Psychophysiology</subject><subject>Reliability analysis</subject><subject>Reliability theory. Replacement problems</subject><issn>0951-8320</issn><issn>1879-0836</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNp9kM9KAzEQxoMoWKsv4CkXwcuuyWazyYKXIv6DlgrVc5jNZm3KNluTrVJPvoNv6JOY0uLR08B8v_lm5kPonJKUElpcLVJvQkgzQllspITkB2hApSgTIllxiAak5DSRLCPH6CSEBYlEycUATSeT6WyEf76-8Qg784FhtfId6DnuGtzPDZ6vl-AwuBp3_hWc_YTedg5a3IDuOx8VaDfBBmwdfpqNTtFRA20wZ_s6RC93t883D8l4ev94MxonmhWsTyqdZ7IyNS-krHgupNG0hErUvBKQR0FUVZnzmgvCsjKDktW8FpqzXHABJWVDdLnzjde-rU3o1dIGbdoWnOnWQdFCUM4LxkhEsx2qfReCN41aebsEv1GUqG16aqG26altettezCYOXez9IWhoGw9O2_A3mUkmc06KyF3vOBOffbfGq6CtcdrU1hvdq7qz_635BedrhPM</recordid><startdate>20140301</startdate><enddate>20140301</enddate><creator>Farcasiu, M.</creator><creator>Prisecaru, I.</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope></search><sort><creationdate>20140301</creationdate><title>MMOSA – A new approach of the human and organizational factor analysis in PSA</title><author>Farcasiu, M. ; Prisecaru, I.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c363t-bc428bed5688b5478ec19ab7d5b7a4bed7bb945d5703292a93d5d7c534757a913</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Accident</topic><topic>Applied sciences</topic><topic>Assessments</topic><topic>Biological and medical sciences</topic><topic>Ergonomics. Human factors</topic><topic>Exact sciences and technology</topic><topic>Firm modelling</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Human</topic><topic>Human performance</topic><topic>Machine</topic><topic>Maintenance</topic><topic>Man-machine interfaces</topic><topic>Nuclear</topic><topic>Nuclear engineering</topic><topic>Nuclear safety</topic><topic>Occupational psychology</topic><topic>Operational research and scientific management</topic><topic>Operational research. Management science</topic><topic>Organization</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychology. Psychophysiology</topic><topic>Reliability analysis</topic><topic>Reliability theory. Replacement problems</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Farcasiu, M.</creatorcontrib><creatorcontrib>Prisecaru, I.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><jtitle>Reliability engineering & system safety</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Farcasiu, M.</au><au>Prisecaru, I.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>MMOSA – A new approach of the human and organizational factor analysis in PSA</atitle><jtitle>Reliability engineering & system safety</jtitle><date>2014-03-01</date><risdate>2014</risdate><volume>123</volume><spage>91</spage><epage>98</epage><pages>91-98</pages><issn>0951-8320</issn><eissn>1879-0836</eissn><abstract>The results of many Probabilistic Safety Assessment (PSA) studies show a very significant contribution of human errors to nuclear installations failure.
This paper is intended to analyze both the human performance importance in PSA studies and the elements that influence it. Starting from Man–Machine–Organization System (MMOS) concept a new approach (MMOSA) was developed to allow an explicit incorporation of the human and organizational factor in PSA studies. This method uses old techniques from Human Reliability Analysis (HRA) methods (THERP, SPAR-H) and new techniques to analyze human performance. The main novelty included in MMOSA is the identification of the machine–organization interfaces (maintenance, modification and aging management plan and state of man–machine interface) and the human performance evaluation based on them.
A detailed result of the Human Performance Analysis (HPA) using the MMOSA methodology can identify any serious deficiencies of human performance which can usually be corrected through the improvement of the related MMOS interfaces.
•MMOSA allows the incorporation of the human and organizational factor in PSA.•The method uses old techniques and new techniques to analyze human performance.•The main novelty is the identification of the machine–organization interfaces.•The MMOSA methodology identifies any serious deficiencies which can be corrected.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.ress.2013.10.004</doi><tpages>8</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0951-8320 |
ispartof | Reliability engineering & system safety, 2014-03, Vol.123, p.91-98 |
issn | 0951-8320 1879-0836 |
language | eng |
recordid | cdi_proquest_miscellaneous_1671556330 |
source | ScienceDirect Journals (5 years ago - present) |
subjects | Accident Applied sciences Assessments Biological and medical sciences Ergonomics. Human factors Exact sciences and technology Firm modelling Fundamental and applied biological sciences. Psychology Human Human performance Machine Maintenance Man-machine interfaces Nuclear Nuclear engineering Nuclear safety Occupational psychology Operational research and scientific management Operational research. Management science Organization Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Reliability analysis Reliability theory. Replacement problems |
title | MMOSA – A new approach of the human and organizational factor analysis in PSA |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-10T07%3A47%3A34IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=MMOSA%20%E2%80%93%20A%20new%20approach%20of%20the%20human%20and%20organizational%20factor%20analysis%20in%20PSA&rft.jtitle=Reliability%20engineering%20&%20system%20safety&rft.au=Farcasiu,%20M.&rft.date=2014-03-01&rft.volume=123&rft.spage=91&rft.epage=98&rft.pages=91-98&rft.issn=0951-8320&rft.eissn=1879-0836&rft_id=info:doi/10.1016/j.ress.2013.10.004&rft_dat=%3Cproquest_cross%3E1671556330%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1671556330&rft_id=info:pmid/&rft_els_id=S0951832013002883&rfr_iscdi=true |