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On the Need of Functional Priority and Failure Risk Assessment to Optimize Human Resource Allocation in Public Service Organizations

机译:关于功能优先级和失败风险评估的需要,以优化公共服务组织人力资源分配

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Optimization of resource utilization plays a significant role in the continuous improvement initiatives of an organization providing services. Lean thinking and systematic approaches, such as multicriteria analysis (MCA), are necessary to optimize the utilization (or allocation) of human resources (HR) in a public service organization, especially to assure that functional performance satisfies organizational and public needs and objectives. This manuscript demonstrates the use of functional priority assessment (FPA) and functional failure risk (FFR) assessment to support and optimize human resource allocation (HRA) management in a public sector organization. Action research has been carried out in one Norwegian police district, to investigate the appropriateness of FPA and FFR assessment for HRA. First, functional priorities have been assessed, based on their impact relative to nine central organizational criteria. Further, based on a tailor-made risk matrix composed of six criteria, consequence of failure (CoF) and probability of failure (PoF) have been qualitatively assessed, resulting in a quantitative representation of FFR levels. The suggested Lean and MCA-based methodology provides significant support to strategic management and Lean practitioners who are involved in implementing or locating improvement initiatives in service organizations, especially in optimizing resource utilization.
机译:资源利用优化在提供服务的组织的持续改进举措中起着重要作用。精益思维和系统方法,例如多标准分析(MCA),是优化公共服务组织中人力资源(HR)的利用(或分配),特别是为了确保功能性能满足组织和公共需求和目标。本手稿展示了使用功能优先考虑评估(FPA)和功能失败风险(FFR)评估,以支持和优化公共部门组织的人力资源配置(HRA)管理。行动研究已经在一个挪威警察区进行,调查对黑社会的FPA和FFR评估的适当性。首先,根据其相对于九个中央组织标准的影响,评估了功能优先事项。此外,基于由六个标准组成的量身定制的风险矩阵,失败的后果(COF)和失败的概率(POF)已经定性评估,导致FFR水平的定量表示。建议的精益和基于MCA的方法为战略管理和精益从业者提供了重要的支持,该战略管理和精益从业者参与实施或定位服务组织中的改进举措,特别是在优化资源利用方面。

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