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Worker Allocation Decisions in Organizations Based on Individual Learning and Forgetting

Worker Allocation Decisions in Organizations Based on Individual Learning and Forgetting
基于个人学习和遗忘的组织中的工人分配决策
批准号:
9986385
负责人:
David Nembhard
金额:
$4.02万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2000
资助国家:
美国
项目状态:
已结题
起止时间:
2000-02-01 至 2001-01-31

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中文摘要
翻译
工人们是否相互补充,一个人的力量与另一个人的弱点对齐,反之亦然?当考虑到公司员工的学习特征时,这个问题的含义是实质性的。对于某些工业任务,从长远来看,慢速学习能产生更高的生产率,而快速学习能产生更高的短期生产率。这个研究项目将解决上述问题,并确定员工是否在提高工作场所的整体生产力方面相互补充。随着商业和工业向更短的市场生命周期、更积极的交叉培训、灵活的制造和快速反应制造的发展,工人的学习和遗忘行为对公司绩效的影响越来越大。这项研究将确定和评估的政策分配工人的任务基于这样的个人特征,以提高效率,甚至可能工人的士气。欲了解更多信息,请访问威斯康星大学麦迪逊分校工业工程系实验室生产力测量与改进(PM&I)的网站:http://dipsy.ie.wisc.edu/。
英文摘要
Do workers complement one another, one's strength aligning with another'sweakness and vice versa? The implications of this question are substantialwhen considering the learning characteristics of a company's workforce. Forsome industrial tasks, slow learning produces greater productivity in thelong run, and fast learning greater short-run productivity. This researchproject will address the above question and determine whether workerscomplement one another with respect to improving overall productivity inthe workplace. With the emerging movement of business and industry towardshorter market lifecycles, more aggressive cross-training, flexiblemanufacturing, and quick-response manufacturing, worker learning andforgetting behavior has a heightened impact on company performance. Thisresearch will identify and evaluate policies for assigning workers to tasksbased on such individual characteristics in order to improve efficiency andpossibly even worker morale. For additional information, visit the web-siteof the Productivity Measurement and Improvement (PM&I), a Laboratory of theDepartment of Industrial Engineering at the University ofWisconsin-Madison: http://dipsy.ie.wisc.edu/.
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会议论文
FW-HTF-RM: Collaborative Research: Assistive Intelligence for Cooperative Robot and Inspector Survey of Infrastructure Systems (AI-CRISIS)
  • 批准号:
    2337277
  • 项目类别:
    Standard Grant
  • 资助金额:
    $28.0万
  • 财政年份:
    2023
  • 负责人:
    David Nembhard
  • 依托单位:
FW-HTF-RM: Collaborative Research: Assistive Intelligence for Cooperative Robot and Inspector Survey of Infrastructure Systems (AI-CRISIS)
  • 批准号:
    2026445
  • 项目类别:
    Standard Grant
  • 资助金额:
    $28.0万
  • 财政年份:
    2020
  • 负责人:
    David Nembhard
  • 依托单位:
FW-HTF-RM: Collaborative Research: Assistive Intelligence for Cooperative Robot and Inspector Survey of Infrastructure Systems (AI-CRISIS)
  • 批准号:
    2128561
  • 项目类别:
    Standard Grant
  • 资助金额:
    $28.0万
  • 财政年份:
    2020
  • 负责人:
    David Nembhard
  • 依托单位:
Collaborative Research: Worker Cross-Training and Assignment Considering Learning/Forgetting Effects
国内基金
海外基金
CREB在杏仁核神经环路memory allocation中的作用和机制研究
  • 批准号:
    31171079
  • 项目类别:
    面上项目
  • 资助金额:
    55.0万元
  • 批准年份:
    2011
  • 负责人:
    周宇
  • 依托单位: