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Graded and Classified Safety Management for Elevator Users Based on the Coordination Theory

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Proceedings of the Eighth International Conference on Management Science and Engineering Management

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 281))

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Abstract

The elevator safety management can be a matter of life safety, however, traditional research works focus on the single factor of equipment without integrating essential factors together. Based on the coordination theory, a classified and graded safety management method for elevator users is proposed by combing both probabilities and consequences of accidents. Synchronously, the evaluation indexes are defined. Accident probability emphasizes the comprehensive effect of four aspects, including management, environment, equipment and staff system, combined with the assessment of accident consequence, which makes the elevator risk evaluation more systematic and scientific. The safety evaluation index system is beneficial for elevator users to remove potential safety hazards and save resources of special equipment survey. Its validity and efficiency are proved by case study.

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Acknowledgments

This research is funded by the National Intrinsic Science Foundation of China (71131006,71302134) [14], the science and technology planning project of general administration of quality supervision inspection and quarantine of PRC (2013QK317) [11], China Postdoctoral Science Foundation Funded Project (2012M521705) [15], Postdoctoral Science Special Foundation of Sichuan Province and the Fundamental Research Funds for the Central Universities (skzx2013-dz07) [10].

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Correspondence to Xuedong Liang .

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© 2014 Springer-Verlag Berlin Heidelberg

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Liang, X., Wang, X., Wang, F., Zhang, J. (2014). Graded and Classified Safety Management for Elevator Users Based on the Coordination Theory . In: Xu, J., Cruz-Machado, V., Lev, B., Nickel, S. (eds) Proceedings of the Eighth International Conference on Management Science and Engineering Management. Advances in Intelligent Systems and Computing, vol 281. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55122-2_94

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  • DOI: https://doi.org/10.1007/978-3-642-55122-2_94

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-55121-5

  • Online ISBN: 978-3-642-55122-2

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