INTELLIGENT SYSTEMS FOR FORMING PROJECT TEAMS IN SAFETY-ORIENTED SYSTEMS

Liliya Balash, Ruslana Sodoma, Oleh Kovalchuk
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Abstract

Human security project teams are formed in higher education institutions that train qualified civil protection specialists. One of the tasks is to increase the efficiency of forming SOS project teams by HR services, as well as to improve the recruitment and selection procedure using modern information technologies. Developing human resources, improving the quality of higher education for its applicants. Information systems provide high speed data processing, information search, recruitment optimization and candidate analysis. Automation of HR processes helps to reduce the labor intensity and resource costs of tasks. New models, methods, and technologies for processing materials and information about applicants for the purpose of evaluating them for further involvement in the SOS project will contribute to the sustainable development of the organization. The subject of the study is models for automating the selection of personnel in safety-oriented systems with their subsequent formation into project teams of the civil protection service and law enforcement agencies. One of the components of human resource management is the implementation of a subsystem for the assessment and selection of human resources, the initial elements of which are the basis for making personnel decisions on the formation of project teams. The purpose of the study is to formalize the criteria for selecting candidates to reduce the subjectivity of the assessment; optimize and automate the selection process, design expert decision support systems for HR. The article sets the following tasks: to design an information system for the formation of project teams in safety-oriented systems, taking into account the parameters of personal human qualities and professional skills of candidates using information expert systems. To improve the quantitative assessment and qualitative indicators of applicants, it is advisable to formalize the criteria and their weighting coefficients using the theory of qualimetrics and personnel assessment methods. The following research methods were used: system analysis, empirical methods, and project management methodology. The following results have been obtained: a model-scheme of an iterative approach to the development of an information system for human resource management for higher education institutions, taking into account specific learning conditions, has been developed. Conclusions. The methods of evaluation and selection of human resources, as well as the criteria for their selection in complex socio-technical systems are analyzed. The possibilities of automating HR processes and integrating an information system to support the formation of project teams in a safety-oriented system are considered. description of the life cycle of complex systems of a safety-oriented system, namely, the life cycle of such complex socio-technical systems is described, taking into account their characteristics and environment.
在面向安全的系统中形成项目团队的智能系统
高等教育机构成立了人类安全项目小组,培训合格的民防专家。其中一项任务是通过人力资源服务提高组建SOS项目团队的效率,以及利用现代信息技术改进招聘和选择程序。发展人力资源,提高高等教育质量。信息系统提供高速数据处理、信息搜索、招聘优化和候选人分析。人力资源流程的自动化有助于降低任务的劳动强度和资源成本。为了评估申请人是否进一步参与SOS项目,处理有关申请人的材料和信息的新模型、方法和技术将有助于组织的可持续发展。这项研究的主题是在面向安全的系统中自动化选择人员的模型,并随后将他们组成民防服务和执法机构的项目小组。人力资源管理的一个组成部分是实施评估和选择人力资源的子系统,其初始要素是在组成项目团队时作出人事决定的基础。本研究的目的是使选择候选人的标准正规化,以减少评估的主观性;优化和自动化选择流程,为HR设计专家决策支持系统。本文设定了以下任务:考虑到个人素质和使用信息专家系统的候选人的专业技能参数,设计一个安全导向系统中组建项目组的信息系统。为完善对应聘者的定量评价和定性评价指标,建议运用质量计量学理论和人员评价方法,将评价标准和权重系数形式化。本文采用了系统分析、实证研究、项目管理等研究方法。所取得的成果如下:已拟订了一个模型方案,采用迭代方法为高等教育机构开发人力资源管理信息系统,考虑到具体的学习条件。结论。分析了人力资源的评价和选择方法,以及在复杂的社会技术系统中选择人力资源的标准。在以安全为导向的系统中,考虑自动化人力资源流程和集成信息系统以支持项目团队形成的可能性。描述安全导向系统的复杂系统的生命周期,即描述这种复杂的社会技术系统的生命周期,考虑到它们的特征和环境。
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