School of Management, Shanghai University, Shanghai, China.
School of Economics and Management, Tongji University, Shanghai, China.
IISE Trans Occup Ergon Hum Factors. 2020 Oct-Dec;8(4):175-186. doi: 10.1080/24725838.2021.1875519. Epub 2021 Feb 26.
OCCUPATIONAL APPLICATIONSOccupational hazards and work-related accidents are a substantial problem in countries around the world. Therefore, it is of great importance to develop appropriate techniques to assess and reduce the risk of occupational hazards. In many situations, however, exact data are inadequate to model real-life scenarios, because of the complexity of occupational health and safety (OHS) risk assessment problems. We present a new OHS risk assessment model to assess and rank the risk of occupational hazards based on combination weighting and uncertain linguistic information. Moreover, a practical example of a shopping mall construction project is given to illustrate the effectiveness of the proposed model. The new model was found to provide a useful, practical, and flexible way for risk evaluation in OHS. In particular, it offered a new method for capturing domain expert opinions and prioritizing potential occupational hazards to improve the health and safety of workers.
职业应用
职业危害和与工作相关的事故是世界各国的一个重大问题。因此，开发适当的技术来评估和降低职业危害风险非常重要。然而，在许多情况下，由于职业健康和安全 (OHS) 风险评估问题的复杂性，精确的数据不足以模拟现实场景。我们提出了一种新的 OHS 风险评估模型，该模型基于组合加权和不确定语言信息来评估和排序职业危害风险。此外，还给出了一个购物中心建设项目的实际示例，以说明所提出模型的有效性。结果表明，该新模型为 OHS 中的风险评估提供了一种有用、实用且灵活的方法。特别是，它为捕获领域专家意见和优先考虑潜在职业危害以提高工人健康和安全提供了一种新方法。
