Extension Cloud Model and Grey Clustering Evaluation of Enterprise Safety Management System: Based on COWA-CRITIC Combination Weighting
In order to address the issues of unclear risk grading control, lack of safety management, and hidden danger investigation and management processes, this paper used a mining enterprise as the backdrop for an engineering example. The “evaluation model of the overall construction level of the enterpri...
Gespeichert in:
Veröffentlicht in: | Sustainability 2023-11, Vol.15 (22), p.15734 |
---|---|
Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 22 |
container_start_page | 15734 |
container_title | Sustainability |
container_volume | 15 |
creator | Duan, Shanda Li, Xuefeng Jiang, Xiashi Huang, Xuxing Yang, Yihao Du, Han Xiao, Wuning |
description | In order to address the issues of unclear risk grading control, lack of safety management, and hidden danger investigation and management processes, this paper used a mining enterprise as the backdrop for an engineering example. The “evaluation model of the overall construction level of the enterprise safety management system” is constructed from four aspects: “preliminary infrastructure”, “risk grading and control”, “hidden danger investigation and management processes”, and “Post-support work”. The safety evaluation level is divided into five levels, and the evaluation model is combined weighted by using the combined ordered weighted averaging (COWA) algorithm and the criteria importance through intercriteria correlation (CRITIC) method. In addition, the cloud model, the extension cloud model, and the grey clustering evaluation method are used for a thorough evaluation. Finally, the enterprise safety management system’s overall construction level is determined to be good. In order to effectively strengthen the enterprise safety management capability and prevent the occurrence of production safety accidents, this study provides a practical and thorough evaluation method for the evaluation of the enterprise safety management system. This method makes it easier to identify system weaknesses and provides a safety guarantee for the sustainable development of enterprises. |
doi_str_mv | 10.3390/su152215734 |
format | Article |
fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_2893385173</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A774375701</galeid><sourcerecordid>A774375701</sourcerecordid><originalsourceid>FETCH-LOGICAL-c259t-38cdf4bbf5306a338dfaaea1760281b28788d045a5f3936d37f4634fed26e4c33</originalsourceid><addsrcrecordid>eNpVkcFq3DAURU1poCHNqj8g6KoUp5KfZdndTc00HUgIZFKyNG-sJ9fBllJJDpkv6G9Xw2SRSAuJy7lHoJdlnwS_AGj4t7AIWRRCKijfZacFVyIXXPL3r-4fsvMQHnhaAKIR1Wn2b_0cyYbRWdZObtHs2mmaGFrNLj3tU7iESH60A1s_4bRgPKDOsLVN8aMfA7EtGop7do0WB5rJRrbdp9L8nf3AQJod3Df3q7y93dxtWta6eTfao-iexuFPTPaP2YnBKdD5y3mW_f65vmt_5Vc3l5t2dZX3hWxiDnWvTbnbGQm8QoBaG0RCoSpe1GJX1KquNS8lSgMNVBqUKSsoDemiorIHOMs-H72P3v1dKMTuwS3epie7om6SUAp1oC6O1IATdaM1Lnrs09Y0j72zZMaUr5QqQUnFRSp8eVNITKTnOOASQrfZ3r5lvx7Z3rsQPJkufeOMft8J3h0m2b2aJPwHaB6PUA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2893385173</pqid></control><display><type>article</type><title>Extension Cloud Model and Grey Clustering Evaluation of Enterprise Safety Management System: Based on COWA-CRITIC Combination Weighting</title><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Duan, Shanda ; Li, Xuefeng ; Jiang, Xiashi ; Huang, Xuxing ; Yang, Yihao ; Du, Han ; Xiao, Wuning</creator><creatorcontrib>Duan, Shanda ; Li, Xuefeng ; Jiang, Xiashi ; Huang, Xuxing ; Yang, Yihao ; Du, Han ; Xiao, Wuning</creatorcontrib><description>In order to address the issues of unclear risk grading control, lack of safety management, and hidden danger investigation and management processes, this paper used a mining enterprise as the backdrop for an engineering example. The “evaluation model of the overall construction level of the enterprise safety management system” is constructed from four aspects: “preliminary infrastructure”, “risk grading and control”, “hidden danger investigation and management processes”, and “Post-support work”. The safety evaluation level is divided into five levels, and the evaluation model is combined weighted by using the combined ordered weighted averaging (COWA) algorithm and the criteria importance through intercriteria correlation (CRITIC) method. In addition, the cloud model, the extension cloud model, and the grey clustering evaluation method are used for a thorough evaluation. Finally, the enterprise safety management system’s overall construction level is determined to be good. In order to effectively strengthen the enterprise safety management capability and prevent the occurrence of production safety accidents, this study provides a practical and thorough evaluation method for the evaluation of the enterprise safety management system. This method makes it easier to identify system weaknesses and provides a safety guarantee for the sustainable development of enterprises.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su152215734</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Algorithms ; Coal mining ; Construction accidents & safety ; Enterprise risk management ; Entropy ; Fatalities ; Forecasts and trends ; Game theory ; Methods ; Mineral industry ; Mines ; Mining industry ; Neural networks ; Risk assessment ; Safety and security measures ; Safety management</subject><ispartof>Sustainability, 2023-11, Vol.15 (22), p.15734</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c259t-38cdf4bbf5306a338dfaaea1760281b28788d045a5f3936d37f4634fed26e4c33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Duan, Shanda</creatorcontrib><creatorcontrib>Li, Xuefeng</creatorcontrib><creatorcontrib>Jiang, Xiashi</creatorcontrib><creatorcontrib>Huang, Xuxing</creatorcontrib><creatorcontrib>Yang, Yihao</creatorcontrib><creatorcontrib>Du, Han</creatorcontrib><creatorcontrib>Xiao, Wuning</creatorcontrib><title>Extension Cloud Model and Grey Clustering Evaluation of Enterprise Safety Management System: Based on COWA-CRITIC Combination Weighting</title><title>Sustainability</title><description>In order to address the issues of unclear risk grading control, lack of safety management, and hidden danger investigation and management processes, this paper used a mining enterprise as the backdrop for an engineering example. The “evaluation model of the overall construction level of the enterprise safety management system” is constructed from four aspects: “preliminary infrastructure”, “risk grading and control”, “hidden danger investigation and management processes”, and “Post-support work”. The safety evaluation level is divided into five levels, and the evaluation model is combined weighted by using the combined ordered weighted averaging (COWA) algorithm and the criteria importance through intercriteria correlation (CRITIC) method. In addition, the cloud model, the extension cloud model, and the grey clustering evaluation method are used for a thorough evaluation. Finally, the enterprise safety management system’s overall construction level is determined to be good. In order to effectively strengthen the enterprise safety management capability and prevent the occurrence of production safety accidents, this study provides a practical and thorough evaluation method for the evaluation of the enterprise safety management system. This method makes it easier to identify system weaknesses and provides a safety guarantee for the sustainable development of enterprises.</description><subject>Algorithms</subject><subject>Coal mining</subject><subject>Construction accidents & safety</subject><subject>Enterprise risk management</subject><subject>Entropy</subject><subject>Fatalities</subject><subject>Forecasts and trends</subject><subject>Game theory</subject><subject>Methods</subject><subject>Mineral industry</subject><subject>Mines</subject><subject>Mining industry</subject><subject>Neural networks</subject><subject>Risk assessment</subject><subject>Safety and security measures</subject><subject>Safety management</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpVkcFq3DAURU1poCHNqj8g6KoUp5KfZdndTc00HUgIZFKyNG-sJ9fBllJJDpkv6G9Xw2SRSAuJy7lHoJdlnwS_AGj4t7AIWRRCKijfZacFVyIXXPL3r-4fsvMQHnhaAKIR1Wn2b_0cyYbRWdZObtHs2mmaGFrNLj3tU7iESH60A1s_4bRgPKDOsLVN8aMfA7EtGop7do0WB5rJRrbdp9L8nf3AQJod3Df3q7y93dxtWta6eTfao-iexuFPTPaP2YnBKdD5y3mW_f65vmt_5Vc3l5t2dZX3hWxiDnWvTbnbGQm8QoBaG0RCoSpe1GJX1KquNS8lSgMNVBqUKSsoDemiorIHOMs-H72P3v1dKMTuwS3epie7om6SUAp1oC6O1IATdaM1Lnrs09Y0j72zZMaUr5QqQUnFRSp8eVNITKTnOOASQrfZ3r5lvx7Z3rsQPJkufeOMft8J3h0m2b2aJPwHaB6PUA</recordid><startdate>20231101</startdate><enddate>20231101</enddate><creator>Duan, Shanda</creator><creator>Li, Xuefeng</creator><creator>Jiang, Xiashi</creator><creator>Huang, Xuxing</creator><creator>Yang, Yihao</creator><creator>Du, Han</creator><creator>Xiao, Wuning</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>4U-</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20231101</creationdate><title>Extension Cloud Model and Grey Clustering Evaluation of Enterprise Safety Management System: Based on COWA-CRITIC Combination Weighting</title><author>Duan, Shanda ; Li, Xuefeng ; Jiang, Xiashi ; Huang, Xuxing ; Yang, Yihao ; Du, Han ; Xiao, Wuning</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c259t-38cdf4bbf5306a338dfaaea1760281b28788d045a5f3936d37f4634fed26e4c33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Algorithms</topic><topic>Coal mining</topic><topic>Construction accidents & safety</topic><topic>Enterprise risk management</topic><topic>Entropy</topic><topic>Fatalities</topic><topic>Forecasts and trends</topic><topic>Game theory</topic><topic>Methods</topic><topic>Mineral industry</topic><topic>Mines</topic><topic>Mining industry</topic><topic>Neural networks</topic><topic>Risk assessment</topic><topic>Safety and security measures</topic><topic>Safety management</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Duan, Shanda</creatorcontrib><creatorcontrib>Li, Xuefeng</creatorcontrib><creatorcontrib>Jiang, Xiashi</creatorcontrib><creatorcontrib>Huang, Xuxing</creatorcontrib><creatorcontrib>Yang, Yihao</creatorcontrib><creatorcontrib>Du, Han</creatorcontrib><creatorcontrib>Xiao, Wuning</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>University Readers</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Duan, Shanda</au><au>Li, Xuefeng</au><au>Jiang, Xiashi</au><au>Huang, Xuxing</au><au>Yang, Yihao</au><au>Du, Han</au><au>Xiao, Wuning</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Extension Cloud Model and Grey Clustering Evaluation of Enterprise Safety Management System: Based on COWA-CRITIC Combination Weighting</atitle><jtitle>Sustainability</jtitle><date>2023-11-01</date><risdate>2023</risdate><volume>15</volume><issue>22</issue><spage>15734</spage><pages>15734-</pages><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract>In order to address the issues of unclear risk grading control, lack of safety management, and hidden danger investigation and management processes, this paper used a mining enterprise as the backdrop for an engineering example. The “evaluation model of the overall construction level of the enterprise safety management system” is constructed from four aspects: “preliminary infrastructure”, “risk grading and control”, “hidden danger investigation and management processes”, and “Post-support work”. The safety evaluation level is divided into five levels, and the evaluation model is combined weighted by using the combined ordered weighted averaging (COWA) algorithm and the criteria importance through intercriteria correlation (CRITIC) method. In addition, the cloud model, the extension cloud model, and the grey clustering evaluation method are used for a thorough evaluation. Finally, the enterprise safety management system’s overall construction level is determined to be good. In order to effectively strengthen the enterprise safety management capability and prevent the occurrence of production safety accidents, this study provides a practical and thorough evaluation method for the evaluation of the enterprise safety management system. This method makes it easier to identify system weaknesses and provides a safety guarantee for the sustainable development of enterprises.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/su152215734</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2071-1050 |
ispartof | Sustainability, 2023-11, Vol.15 (22), p.15734 |
issn | 2071-1050 2071-1050 |
language | eng |
recordid | cdi_proquest_journals_2893385173 |
source | MDPI - Multidisciplinary Digital Publishing Institute; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
subjects | Algorithms Coal mining Construction accidents & safety Enterprise risk management Entropy Fatalities Forecasts and trends Game theory Methods Mineral industry Mines Mining industry Neural networks Risk assessment Safety and security measures Safety management |
title | Extension Cloud Model and Grey Clustering Evaluation of Enterprise Safety Management System: Based on COWA-CRITIC Combination Weighting |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-05T06%3A42%3A33IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Extension%20Cloud%20Model%20and%20Grey%20Clustering%20Evaluation%20of%20Enterprise%20Safety%20Management%20System:%20Based%20on%20COWA-CRITIC%20Combination%20Weighting&rft.jtitle=Sustainability&rft.au=Duan,%20Shanda&rft.date=2023-11-01&rft.volume=15&rft.issue=22&rft.spage=15734&rft.pages=15734-&rft.issn=2071-1050&rft.eissn=2071-1050&rft_id=info:doi/10.3390/su152215734&rft_dat=%3Cgale_proqu%3EA774375701%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2893385173&rft_id=info:pmid/&rft_galeid=A774375701&rfr_iscdi=true |