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生产质量和人为因素工程:系统回顾与理论框架。

Production quality and human factors engineering: A systematic review and theoretical framework.

机构信息

Systems Engineering Department, King Fahd University of Petroleum & Minerals, KFUPM, Dhahran 31261, Saudi Arabia.

Kinesiology Department, University of Waterloo, Waterloo, ON N2L 3G1, Canada; Centre of Research Expertise for the Prevention of Musculoskeletal Disorders (CRE-MSD), University of Waterloo, Waterloo, ON N2L 3G1, Canada.

出版信息

Appl Ergon. 2018 Nov;73:55-89. doi: 10.1016/j.apergo.2018.05.010. Epub 2018 Jun 19.

DOI:10.1016/j.apergo.2018.05.010
PMID:30098643
Abstract

The purpose of this paper is to systematically examine available empirical evidence on the impact of human factors (HF) in the design and management of manufacturing operations on system quality performance. A systematic review was conducted to map the linkages between the human-system fit in the design of operations systems (OS) with production quality. A total of 73 empirical studies were identified linking HF to OS performance in manufacturing. Quality risk factors included HF aspects in product design, process design and workstation design of the manufacturing OS. Quality deficits were associated with undesirable human effects of workload like fatigue and injury-related risk factors. Forty-six percent of the studies reported on efforts to improve HF in the OS with effect sizes for quality improvements reaching up to 86%. The paper documents available quality risk factors in the design of OS. It also provides a conceptual framework explaining HF-Quality linkage.

摘要

本文旨在系统地考察有关人为因素(HF)在制造业务设计和管理中对系统质量性能影响的现有实证证据。进行了系统审查,以绘制运营系统(OS)设计中人机适配与生产质量之间的联系。共确定了 73 项实证研究,将 HF 与制造中的 OS 性能联系起来。质量风险因素包括制造 OS 产品设计、工艺设计和工作站设计中的 HF 方面。质量缺陷与工作量的不良人为影响有关,如疲劳和与伤害相关的风险因素。46%的研究报告了在 OS 中改进 HF 的努力,质量改进的效果大小高达 86%。本文记录了 OS 设计中可用的质量风险因素,并提供了一个解释 HF-质量联系的概念框架。

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