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dc.contributor.authorRubio-Romero, Juan Carlos 
dc.contributor.authorPardo-Ferreira, María del Carmen 
dc.contributor.authorDe-la-Varga-Salto, José María 
dc.contributor.authorGalindo-Reyes, Fuensanta Carmen 
dc.date.accessioned2023-12-05T11:14:14Z
dc.date.available2023-12-05T11:14:14Z
dc.date.created2023
dc.date.issued2018-05-10
dc.identifier.citationRubio-Romero, J. C., Pardo-Ferreira, M. del C., de la Varga-Salto, J., & Galindo-Reyes, F. (2018). Composite leading indicator to assess the resilience engineering in occupational health & safety in municipal solid waste management companies. Safety Science, 108, 161–172.es_ES
dc.identifier.urihttps://hdl.handle.net/10630/28218
dc.description.abstractResilience Engineering is a paradigm that attempts to focus on learning from what works well rather than from failures. There have been few studies focusing on the quantitative evaluation of Resilience Engineering and none have been conducted for the Municipal Solid Waste sector. Composite indicators are a useful analytical tool for making decisions involving complex, multi-dimensional social phenomena, and we have used this approach to design a model to assess the level of implementation of Resilience Engineering in Municipal Solid Waste companies. Designed as a Composite Leading Indicator, based on the model created by Wreathall and Shirali et al., its weighting was defined by 22 Spanish and Italian Delphi experts. The results show a high level of consensus. With regard to the principle Top Management Commitment, a high value was assigned to raising awareness over the need to halt production when there is a safety risk. In connection with Culture of Learning, the experts emphasised the importance of establishing mechanisms to clearly define the person responsible for safety in each of the activities carried out in the company. In the area of Flexibility, they agreed on the importance of convincing workers that if they encounter a problem, the criterion to follow is to sacrifice production rather than safety to maintain the system.es_ES
dc.description.sponsorshipThis research forms part of the CICE SAFERA Eranet 2013 project “Design and development of a simulation tool for decision making in the management of health and safety based on resilience engineering to promote a safety culture change process in MSW treatment companies (Asses-Re-Tool)”. This work was funded by the Government of Andalusia, awarded by the Department of Economy, Innovation and Science through the Agency of Innovation and Development of Andalusia and by Italian Workers’ Compensation Authority (INAIL). We would like to thank Professor Saeed Shirali at the Ahvez Jundishapur University, the Spanish and Italian experts who took part in the Delphi study, LIMASA, which facilitated our participation in the project, and Universita Degli Studi Federico II di Napoli. We would also like to express our gratitude for the field work carried out by Pedro Fenoy Illacer in Spain and by Nicola Forcelli in Italy. Finally, it is also necessary to thank the Ministry of Education, Culture and Sport of the Government of Spain for its support through the “Programa de Formación del Profesorado Universitario" (FPU 16/03298).es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectIngeniería - Evaluaciónes_ES
dc.subjectSeguridad e higiene laborales_ES
dc.subjectResiduos - Eliminaciónes_ES
dc.subjectMétodo Delphies_ES
dc.subject.otherResilience Engineeringes_ES
dc.subject.otherMunicipal Solid Wastees_ES
dc.subject.otherRisk preventiones_ES
dc.subject.otherDelphies_ES
dc.subject.otherComposite leadinges_ES
dc.subject.otherHealth and Safetyes_ES
dc.subject.otherOccupationales_ES
dc.subject.otherIndicatorses_ES
dc.titleComposite leading indicator to assess the resilience engineering in occupational health & safety in municipal solid waste management companies.es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.centroEscuela de Ingenierías Industrialeses_ES
dc.identifier.doi10.1016/j.ssci.2018.04.014
dc.rights.ccAttribution-NonCommercial-NoDerivatives 4.0 Internacional
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersiones_ES


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