Summary of references for enterprise development.

The planning of human resources and the management of enterprises consider the organization’s size, the amount of effort put into operations, and the level of productivity. Inefficient allocation of resources in organizations due to skill-task misalignment lowers production and operational efficiency. This study addresses organizations’ poor resource allocation and use, which reduces productivity and the efficiency of operations, and inefficiency may adversely impact company production and finances. This research aims to develop and assess a Placement-Assisted Resource Management Scheme (PRMS) to improve resource allocation and usage and businesses’ operational efficiency and productivity. PRMS uses expertise, business requirements, and processes that are driven by data to match resources with activities that align with their capabilities and require them to perform promptly. The proposed system PRMS outperforms existing approaches on various performance metrics at two distinct levels of operations and operating levels, with a success rate of 0.9328% and 0.9302%, minimal swapping ratios of 12.052% and 11.658%, smaller resource mitigation ratios of 4.098% and 4.815%, mean decision times of 5.414s and 4.976s, and data analysis counts of 6387 and 6335 Success and data analysis increase by 9.98% and 8.2%, respectively, with the proposed strategy. This technique cuts the switching ratio, resource mitigation, and decision time by 6.52%, 13.84%, and 8.49%. The study concluded that PRMS is a solid, productivity-focused corporate improvement method that optimizes the allocation of resources and meets business needs.

人力资源规划与企业管理需综合考量组织规模、业务投入强度与生产力水平。因技能与任务错配导致的组织资源低效配置，会降低生产与运营效率。本研究针对组织资源配置与利用不佳的问题展开，此类问题不仅会削弱生产力与运营效率，资源低效还可能对企业生产与财务状况产生不利影响。本研究旨在开发并评估一款岗位辅助资源管理方案（Placement-Assisted Resource Management Scheme, PRMS），以优化资源配置与利用，提升企业运营效率与生产力。PRMS依托专业知识、业务需求及数据驱动流程，将资源与匹配其能力且需快速执行的任务进行对接。所提出的PRMS在两类不同运营层级下，于多项性能指标上均优于现有方法：其成功率分别为0.9328%与0.9302%，最小交换比分别为12.052%与11.658%，资源缓解比分别为4.098%与4.815%，平均决策时间分别为5.414秒与4.976秒，数据分析量分别为6387与6335；相较于现有方法，本策略的成功次数与数据分析量分别提升9.98%与8.2%。本方法可将交换比、资源缓解率与决策时间分别降低6.52%、13.84%与8.49%。研究表明，PRMS是一套可靠且聚焦生产力提升的企业优化方案，可优化资源配置并契合业务需求。