摘要
为履行社会责任和避免向残疾人支付就业保障金,许多企业雇佣了大量残疾员工。鉴于业内激烈的竞争,员工的工作效率成为了企业发展的命脉。为了提高残疾员工的工作绩效,本文引入了一个可以区分残疾员工和正常员工的工作绩效特殊因素,并根据累计生产、累计差异和生产时间之间的规律,基于双因素学习曲线模型,建立了一个针对残疾人的学习曲线模型,并用F集团的实际数据来检验该模型,发现该模型更准确,更具有可行性,提出了提高残疾员工工作绩效的具体解决方案,也为相同类型的企业决策人提供一些参考。
At present, to fulfill social responsibilities and avoid paying employment funds for the disabled, many enterprises have recruited a significant number of disabled employees. Given the fierce competition, employees' work efficiency is the lifeblood of enterprise development. In order to improve the performance of the disabled, a special factor is introduced which distinguishes the handicapped from the normal based on the traditional learning curve model. In the meantime, the relationship among cumulative productions, cumulative differences and production times is analyzed. According to the double-factor learning curve model, a learning curve model for the disabled is built. Eventually, practical data from Group F is applied to examine the feasibility of the new learning curve model. By comparing the results calculated by the traditional learning curve with that of the improved learning curve, it is found that the latter is more accurate and reasonable. Specific solutions are put forward to enhance the work performance of the disabled on the basis of further analysis of special factors. This study can provide references for decision-makers of the same type of enterprises.
出处
《工业工程》
2017年第3期23-27,共5页
Industrial Engineering Journal
基金
国家自然科学基金资助项目(71362019)
关键词
工作绩效
双因素学习曲线模型
特殊因素
残疾人学习曲线模型
work performance
two-factor learning curve model
special factors
the disabled learning curve model