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Making the Business Case: Assessment of Safety Intervention and Optimization of Resource Allocation

机译:制作业务案例:评估安全干预和资源分配优化

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This paper intends to provide an overview of a statistical technique to assess a safety intervention program from a business perspective. A mathematical model is developed for predicting incident rates. The developed model could be used to better predict the allocation and optimization of resources which in turn minimizes the cost of incident prevention. The safety model is obtained using analysis of variance while response surface methodology and contour plots are used to optimize the incident rates. Overall, this model presents the foundation for the use of response surface methodology for the prediction and optimization of incident rates. This offers a new dimension into the practice of safety intervention. Safety intervention could be described as an attempt to alter or change how things are done in order to improve safety. In the industrial sector, safety intervention could be in form of a new program, practice, or initiative and idea which is intended to improve safety. Safety interventions in the work place include job redesign, training program, incentive programs for safety practices, and other administrative procedures. Safety interventions occur at different levels of an industrial safety system. In the workplace, major safety decision making and intervention efforts are often concentrated around the level of organization of the safety management system.
机译:本文旨在概述从商业角度来评估安全干预计划的统计技术。开发了一种用于预测事故率的数学模型。开发的模型可用于更好地预测资源的分配和优化,这反过来可以最大限度地降低事件预防成本。使用方差分析获得安全模型,而响应面方法和轮廓图用于优化入射率。总体而言,该模型为使用响应表面方法的预测和优化的响应面方法提供了基础。这为安全干预做法提供了新的维度。可以描述安全干预作为改变或改变事物的尝试,以提高安全性。在工业部门,安全干预可能是一个新的计划,实践或倡议和想法的形式,旨在提高安全性。工作地点的安全干预包括重新设计,培训计划,安全实践激励计划以及其他行政程序。安全干预措施发生在不同级别的工业安全系统。在工作场所,主要的安全决策和干预措施往往集中在安全管理系统的组织水平周围。

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