运营劳动力与可持续发展先决条件关系的预测评价

Shaila Dattatray Phadtare, Ganesh Chavan
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摘要

例如,教育水平低下导致偏远农村地区的高失业率。不同地区的学生接受教育,但没有受教育的机会,这是当今地区青年面临的最大困难。大多数农村员工只有一种改善生活或收入的方式,那就是通过教育,但由于缺乏教育选择,他们缺乏必要的知识、技能和能力。一个愉快的学习环境使所有学生都能在经济上富有成效,创造可持续发展,为自由稳定的社会做出贡献,并增加个人财富。不合格的教育是所有学生的陷阱。你永远不知道将来人们会为它付多少钱。最好是按字母顺序排列,而不是自称有才华却没有工作。在印度,糟糕的学校教育导致了糟糕的学习成果。供应链管理是对商品和服务流动的管理,它包括将原材料转化为成品的所有程序。利用知识、统计方法和机器学习技术,根据以前的数据预测未来的事件被称为预测分析。本文的主要目的是检查当前的人力资源,预测未来的需求和可用性,并采取措施确保人员和技能的供应满足需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Predictive Evaluation of the Relationship Between Operation Workforce Prerequisites Sustainable Development
For instance, poor education leads to a high unemployment rate in isolated rural regions. Students from various areas get education but not educational chances, which is the biggest difficulty that regional youth confront today. Most rural employees have just one way to improve their lives or income, and that is via education, but they lack the necessary knowledge, skills, and ability to do so due to a lack of educational options. A pleasant learning environment empowers all students to be economically productive, to create sustainable development, to contribute to free and stable societies, and to increase individual wealth. Unqualified education is a trap for all students. You never know what people will pay for it in the future. It's preferable to be alphabetical rather than allegedly talented and jobless. In India, poor schooling results in poor learning outcomes. Supply chain management is the administration of the flow of goods and services, and it includes all procedures that turn raw materials into completed products. The use of knowledge, statistical methodologies, and machine learning technologies to forecast future events based on previous data is known as predictive analytics. The major purpose of this article is to examine current human resources, forecast future needs and availability, and take measures to ensure that the supply of people and skills meets demand.
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