In order to make the supply chain select the best emergency procurement suppliers in case the procurement system encounters unexpected risks,six indices which can reflect the comprehensive abilities of alternative sup...In order to make the supply chain select the best emergency procurement suppliers in case the procurement system encounters unexpected risks,six indices which can reflect the comprehensive abilities of alternative suppliers are selected,i.e.,the product yield,the toll standard,the on-time-delivery rate,the rate of turnover industry experience and customer satisfaction.Then standardized processing of evaluation is performed.For quantitative indices,vector normalization is adopted to perform standardized processing,and qualitative fuzziness indices are quantified through assignment.Finally,each index can be transformed into a standardized mark which has dimensionless 1 and the same magnitude.And an expert method is used to determine the index weights and then the linear weighted sum method is used to calculate the alternative supplier's comprehensive ability score and by comparing these scores,the optimal emergency procurement supplier is selected.展开更多
The fast developing remote sensing techniques play an increasingly important role in earthquake emergency response, disaster survey and loss estimation. As there is a lack of quantitative studies on seismic damage bas...The fast developing remote sensing techniques play an increasingly important role in earthquake emergency response, disaster survey and loss estimation. As there is a lack of quantitative studies on seismic damage based on remote sensing, its practicality in seismic disaster management has usually been questioned. The paper introduces the essential quantitative study idea, the concept of the remote sensing seismic damage index （D1RS） and analysis models, demonstrates the seismic damage indices （ D1G ） of buildings obtained from ground surveying and its quantitative relation to D1RS in Dujiangyan city, Sichuan Province, which was destroyed by the 2008 Wenchuan earthquake with Ms8.0. The primary results show that an obvious relationship exists between the D1RS of buildings obtained from the high resolution satellite or aerial remote sensing images and D1G or the building collapse ratio obtained through ground survey, which suggests that the quantitative study on seismic damage based on remote sensing will provide an effective method for seismic damage survey and loss estimation.展开更多
Loss assessment and decision-making are essential for earthquake emergency rescues,and for scientific prediction of seismic damage and determination of rescue objectives.In practice,however,there exist some problems,s...Loss assessment and decision-making are essential for earthquake emergency rescues,and for scientific prediction of seismic damage and determination of rescue objectives.In practice,however,there exist some problems,such as basic data not being precise and rich enough and decision making not having systematic and complete criteria.This paper tries to solve these problems using the method of data indexation by constructing an index system for earthquake emergency loss assessment and decision-making.展开更多
基金The National Key Technology R&D Program of China during the 11th Five-Year Plan Period(No.2006BAH02A06)
文摘In order to make the supply chain select the best emergency procurement suppliers in case the procurement system encounters unexpected risks,six indices which can reflect the comprehensive abilities of alternative suppliers are selected,i.e.,the product yield,the toll standard,the on-time-delivery rate,the rate of turnover industry experience and customer satisfaction.Then standardized processing of evaluation is performed.For quantitative indices,vector normalization is adopted to perform standardized processing,and qualitative fuzziness indices are quantified through assignment.Finally,each index can be transformed into a standardized mark which has dimensionless 1 and the same magnitude.And an expert method is used to determine the index weights and then the linear weighted sum method is used to calculate the alternative supplier's comprehensive ability score and by comparing these scores,the optimal emergency procurement supplier is selected.
基金sponsored by the tenth Five-year Plan of Special Social Commonweal Research Programs of the State (2006BAC13B03-01-01)
文摘The fast developing remote sensing techniques play an increasingly important role in earthquake emergency response, disaster survey and loss estimation. As there is a lack of quantitative studies on seismic damage based on remote sensing, its practicality in seismic disaster management has usually been questioned. The paper introduces the essential quantitative study idea, the concept of the remote sensing seismic damage index （D1RS） and analysis models, demonstrates the seismic damage indices （ D1G ） of buildings obtained from ground surveying and its quantitative relation to D1RS in Dujiangyan city, Sichuan Province, which was destroyed by the 2008 Wenchuan earthquake with Ms8.0. The primary results show that an obvious relationship exists between the D1RS of buildings obtained from the high resolution satellite or aerial remote sensing images and D1G or the building collapse ratio obtained through ground survey, which suggests that the quantitative study on seismic damage based on remote sensing will provide an effective method for seismic damage survey and loss estimation.
基金sponsored by the National Science & Technology Support Program (2012BAK15B06-01)the Special Fund for Basic Scientific Research Operations in Institute of Geology,CEA (IGCEA1109)the National Science and Techonology Support Program,China (2008BAK50B03-07)
文摘Loss assessment and decision-making are essential for earthquake emergency rescues,and for scientific prediction of seismic damage and determination of rescue objectives.In practice,however,there exist some problems,such as basic data not being precise and rich enough and decision making not having systematic and complete criteria.This paper tries to solve these problems using the method of data indexation by constructing an index system for earthquake emergency loss assessment and decision-making.
