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Logistics service provider selection for disaster preparation: a socio-technical systems perspective

机译:物流服务提供商灾害准备选择:一个社会技术系统的观点

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Since 1990s, the world has seen a lot of advances in providing humanitarian aid through sophisticated logistics operations. The current consensus seems to be that humanitarian relief organizations (HROs) can improve their relief operations by collaborating with logistics service providers (CLSPs) in the commercial sector. The question remains: how can HROs select the most appropriate CLSP for disaster preparation? Despite its practical significance, no explicit effort has been done to identify the criteria/factors in prioritizing and selecting a CLSP for disaster relief. The present study aims to address this gap by consolidating the list of criteria from a socio-technical systems (STS) perspective. Then, to handle the interdependence among the criteria derived from the STS, we develop a hybrid multi-criteria decision making model for CLSP selection in the disaster preparedness stage. The proposed model is then evaluated by a real-life case study, providing insights into the decision-makers in both HROs and CLSPs.
机译:自20世纪90年代以来,世界通过复杂物流业务提供人道主义援助的大量进展。目前的共识似乎是人道主义救济组织(HRO)可以通过与商业部门的物流服务提供商(CLSP)合作来改善其救济行动。问题仍然存在:HRO如何选择最合适的CLSP进行灾难准备?尽管其具有实际意义,但没有明确的努力来确定优先考虑和选择CLSP以进行救灾的标准/因素。本研究旨在通过巩固来自社会技术系统(STS)的角度来解决标准清单来解决这一差距。然后,为了处理从STS导出的标准之间的相互依存性,我们在备灾阶段开发了用于CLSP选择的混合多标准决策模型。然后通过真实案例研究评估所提出的模型,为HRO和CLSPS中的决策者提供见解。

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