Eintrag weiter verarbeiten
A Systematic Disturbance Analysis Method for Resilience Evaluation: A Case Study in Material Handling Systems
Gespeichert in:
| Zeitschriftentitel: | Sustainability |
|---|---|
| Personen und Körperschaften: | , , , |
| In: | Sustainability, 11, 2019, 5, S. 1447 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
MDPI AG
|
| Schlagwörter: |
| author_facet |
Li, Ruiying Tian, Xiaoyu Yu, Li Kang, Rui Li, Ruiying Tian, Xiaoyu Yu, Li Kang, Rui |
|---|---|
| author |
Li, Ruiying Tian, Xiaoyu Yu, Li Kang, Rui |
| spellingShingle |
Li, Ruiying Tian, Xiaoyu Yu, Li Kang, Rui Sustainability A Systematic Disturbance Analysis Method for Resilience Evaluation: A Case Study in Material Handling Systems Management, Monitoring, Policy and Law Renewable Energy, Sustainability and the Environment Geography, Planning and Development |
| author_sort |
li, ruiying |
| spelling |
Li, Ruiying Tian, Xiaoyu Yu, Li Kang, Rui 2071-1050 MDPI AG Management, Monitoring, Policy and Law Renewable Energy, Sustainability and the Environment Geography, Planning and Development http://dx.doi.org/10.3390/su11051447 <jats:p>With the development of intelligent manufacturing technology, the material handling system (MHS) faces larger resilience challenges that threaten the sustainability of the system. To evaluate system resilience, the disturbance that the system may experience and the system response need to be identified in advance. This paper proposes a systematic and innovative approach to performing resilience-related disturbance analysis, i.e., disturbance mode and effects analysis (DMEA). Using this method, the possible disturbance modes, their occurrence probabilities, and the quantitative effects on system performance can be collected in a bottom-up process, and the information can be applied to further resilience quantification. Moreover, a quantitative system resilience evaluation framework for the MHS based on DMEA and the Monte Carlo method is presented. Production is defined as the key performance index of the system and is monitored to reflect the resilience behavior of the system after the disturbance occurs. The resilience of a tire tread handing system is quantified in our case study, and the results show the effectiveness of our DMEA-based resilience evaluation method. We also find that a reasonable system configuration and maintenance strategy can effectively improve system resilience, and a trade-off can be made between resilience and cost.</jats:p> A Systematic Disturbance Analysis Method for Resilience Evaluation: A Case Study in Material Handling Systems Sustainability |
| doi_str_mv |
10.3390/su11051447 |
| facet_avail |
Online Free |
| finc_class_facet |
Geographie Technik Wirtschaftswissenschaften |
| format |
ElectronicArticle |
| fullrecord |
blob:ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMzM5MC9zdTExMDUxNDQ3 |
| id |
ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMzM5MC9zdTExMDUxNDQ3 |
| institution |
DE-Bn3 DE-Brt1 DE-D161 DE-Zwi2 DE-Gla1 DE-Zi4 DE-15 DE-Pl11 DE-Rs1 DE-105 DE-14 DE-Ch1 DE-L229 DE-D275 |
| imprint |
MDPI AG, 2019 |
| imprint_str_mv |
MDPI AG, 2019 |
| issn |
2071-1050 |
| issn_str_mv |
2071-1050 |
| language |
English |
| mega_collection |
MDPI AG (CrossRef) |
| match_str |
li2019asystematicdisturbanceanalysismethodforresilienceevaluationacasestudyinmaterialhandlingsystems |
| publishDateSort |
2019 |
| publisher |
MDPI AG |
| recordtype |
ai |
| record_format |
ai |
| series |
Sustainability |
| source_id |
49 |
| title |
A Systematic Disturbance Analysis Method for Resilience Evaluation: A Case Study in Material Handling Systems |
| title_unstemmed |
A Systematic Disturbance Analysis Method for Resilience Evaluation: A Case Study in Material Handling Systems |
| title_full |
A Systematic Disturbance Analysis Method for Resilience Evaluation: A Case Study in Material Handling Systems |
| title_fullStr |
A Systematic Disturbance Analysis Method for Resilience Evaluation: A Case Study in Material Handling Systems |
| title_full_unstemmed |
A Systematic Disturbance Analysis Method for Resilience Evaluation: A Case Study in Material Handling Systems |
| title_short |
A Systematic Disturbance Analysis Method for Resilience Evaluation: A Case Study in Material Handling Systems |
| title_sort |
a systematic disturbance analysis method for resilience evaluation: a case study in material handling systems |
| topic |
Management, Monitoring, Policy and Law Renewable Energy, Sustainability and the Environment Geography, Planning and Development |
| url |
http://dx.doi.org/10.3390/su11051447 |
| publishDate |
2019 |
| physical |
1447 |
| description |
<jats:p>With the development of intelligent manufacturing technology, the material handling system (MHS) faces larger resilience challenges that threaten the sustainability of the system. To evaluate system resilience, the disturbance that the system may experience and the system response need to be identified in advance. This paper proposes a systematic and innovative approach to performing resilience-related disturbance analysis, i.e., disturbance mode and effects analysis (DMEA). Using this method, the possible disturbance modes, their occurrence probabilities, and the quantitative effects on system performance can be collected in a bottom-up process, and the information can be applied to further resilience quantification. Moreover, a quantitative system resilience evaluation framework for the MHS based on DMEA and the Monte Carlo method is presented. Production is defined as the key performance index of the system and is monitored to reflect the resilience behavior of the system after the disturbance occurs. The resilience of a tire tread handing system is quantified in our case study, and the results show the effectiveness of our DMEA-based resilience evaluation method. We also find that a reasonable system configuration and maintenance strategy can effectively improve system resilience, and a trade-off can be made between resilience and cost.</jats:p> |
| container_issue |
5 |
| container_start_page |
0 |
| container_title |
Sustainability |
| container_volume |
11 |
| format_de105 |
Article, E-Article |
| format_de14 |
Article, E-Article |
| format_de15 |
Article, E-Article |
| format_de520 |
Article, E-Article |
| format_de540 |
Article, E-Article |
| format_dech1 |
Article, E-Article |
| format_ded117 |
Article, E-Article |
| format_degla1 |
E-Article |
| format_del152 |
Buch |
| format_del189 |
Article, E-Article |
| format_dezi4 |
Article |
| format_dezwi2 |
Article, E-Article |
| format_finc |
Article, E-Article |
| format_nrw |
Article, E-Article |
| _version_ |
1792344748854345739 |
| geogr_code |
not assigned |
| last_indexed |
2024-03-01T17:12:29.086Z |
| geogr_code_person |
not assigned |
| openURL |
url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fvufind.svn.sourceforge.net%3Agenerator&rft.title=A+Systematic+Disturbance+Analysis+Method+for+Resilience+Evaluation%3A+A+Case+Study+in+Material+Handling+Systems&rft.date=2019-03-08&genre=article&issn=2071-1050&volume=11&issue=5&pages=1447&jtitle=Sustainability&atitle=A+Systematic+Disturbance+Analysis+Method+for+Resilience+Evaluation%3A+A+Case+Study+in+Material+Handling+Systems&aulast=Kang&aufirst=Rui&rft_id=info%3Adoi%2F10.3390%2Fsu11051447&rft.language%5B0%5D=eng |
| SOLR | |
| _version_ | 1792344748854345739 |
| author | Li, Ruiying, Tian, Xiaoyu, Yu, Li, Kang, Rui |
| author_facet | Li, Ruiying, Tian, Xiaoyu, Yu, Li, Kang, Rui, Li, Ruiying, Tian, Xiaoyu, Yu, Li, Kang, Rui |
| author_sort | li, ruiying |
| container_issue | 5 |
| container_start_page | 0 |
| container_title | Sustainability |
| container_volume | 11 |
| description | <jats:p>With the development of intelligent manufacturing technology, the material handling system (MHS) faces larger resilience challenges that threaten the sustainability of the system. To evaluate system resilience, the disturbance that the system may experience and the system response need to be identified in advance. This paper proposes a systematic and innovative approach to performing resilience-related disturbance analysis, i.e., disturbance mode and effects analysis (DMEA). Using this method, the possible disturbance modes, their occurrence probabilities, and the quantitative effects on system performance can be collected in a bottom-up process, and the information can be applied to further resilience quantification. Moreover, a quantitative system resilience evaluation framework for the MHS based on DMEA and the Monte Carlo method is presented. Production is defined as the key performance index of the system and is monitored to reflect the resilience behavior of the system after the disturbance occurs. The resilience of a tire tread handing system is quantified in our case study, and the results show the effectiveness of our DMEA-based resilience evaluation method. We also find that a reasonable system configuration and maintenance strategy can effectively improve system resilience, and a trade-off can be made between resilience and cost.</jats:p> |
| doi_str_mv | 10.3390/su11051447 |
| facet_avail | Online, Free |
| finc_class_facet | Geographie, Technik, Wirtschaftswissenschaften |
| format | ElectronicArticle |
| format_de105 | Article, E-Article |
| format_de14 | Article, E-Article |
| format_de15 | Article, E-Article |
| format_de520 | Article, E-Article |
| format_de540 | Article, E-Article |
| format_dech1 | Article, E-Article |
| format_ded117 | Article, E-Article |
| format_degla1 | E-Article |
| format_del152 | Buch |
| format_del189 | Article, E-Article |
| format_dezi4 | Article |
| format_dezwi2 | Article, E-Article |
| format_finc | Article, E-Article |
| format_nrw | Article, E-Article |
| geogr_code | not assigned |
| geogr_code_person | not assigned |
| id | ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMzM5MC9zdTExMDUxNDQ3 |
| imprint | MDPI AG, 2019 |
| imprint_str_mv | MDPI AG, 2019 |
| institution | DE-Bn3, DE-Brt1, DE-D161, DE-Zwi2, DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1, DE-105, DE-14, DE-Ch1, DE-L229, DE-D275 |
| issn | 2071-1050 |
| issn_str_mv | 2071-1050 |
| language | English |
| last_indexed | 2024-03-01T17:12:29.086Z |
| match_str | li2019asystematicdisturbanceanalysismethodforresilienceevaluationacasestudyinmaterialhandlingsystems |
| mega_collection | MDPI AG (CrossRef) |
| physical | 1447 |
| publishDate | 2019 |
| publishDateSort | 2019 |
| publisher | MDPI AG |
| record_format | ai |
| recordtype | ai |
| series | Sustainability |
| source_id | 49 |
| spelling | Li, Ruiying Tian, Xiaoyu Yu, Li Kang, Rui 2071-1050 MDPI AG Management, Monitoring, Policy and Law Renewable Energy, Sustainability and the Environment Geography, Planning and Development http://dx.doi.org/10.3390/su11051447 <jats:p>With the development of intelligent manufacturing technology, the material handling system (MHS) faces larger resilience challenges that threaten the sustainability of the system. To evaluate system resilience, the disturbance that the system may experience and the system response need to be identified in advance. This paper proposes a systematic and innovative approach to performing resilience-related disturbance analysis, i.e., disturbance mode and effects analysis (DMEA). Using this method, the possible disturbance modes, their occurrence probabilities, and the quantitative effects on system performance can be collected in a bottom-up process, and the information can be applied to further resilience quantification. Moreover, a quantitative system resilience evaluation framework for the MHS based on DMEA and the Monte Carlo method is presented. Production is defined as the key performance index of the system and is monitored to reflect the resilience behavior of the system after the disturbance occurs. The resilience of a tire tread handing system is quantified in our case study, and the results show the effectiveness of our DMEA-based resilience evaluation method. We also find that a reasonable system configuration and maintenance strategy can effectively improve system resilience, and a trade-off can be made between resilience and cost.</jats:p> A Systematic Disturbance Analysis Method for Resilience Evaluation: A Case Study in Material Handling Systems Sustainability |
| spellingShingle | Li, Ruiying, Tian, Xiaoyu, Yu, Li, Kang, Rui, Sustainability, A Systematic Disturbance Analysis Method for Resilience Evaluation: A Case Study in Material Handling Systems, Management, Monitoring, Policy and Law, Renewable Energy, Sustainability and the Environment, Geography, Planning and Development |
| title | A Systematic Disturbance Analysis Method for Resilience Evaluation: A Case Study in Material Handling Systems |
| title_full | A Systematic Disturbance Analysis Method for Resilience Evaluation: A Case Study in Material Handling Systems |
| title_fullStr | A Systematic Disturbance Analysis Method for Resilience Evaluation: A Case Study in Material Handling Systems |
| title_full_unstemmed | A Systematic Disturbance Analysis Method for Resilience Evaluation: A Case Study in Material Handling Systems |
| title_short | A Systematic Disturbance Analysis Method for Resilience Evaluation: A Case Study in Material Handling Systems |
| title_sort | a systematic disturbance analysis method for resilience evaluation: a case study in material handling systems |
| title_unstemmed | A Systematic Disturbance Analysis Method for Resilience Evaluation: A Case Study in Material Handling Systems |
| topic | Management, Monitoring, Policy and Law, Renewable Energy, Sustainability and the Environment, Geography, Planning and Development |
| url | http://dx.doi.org/10.3390/su11051447 |