Risk management decision-making models for human-centered 4.0/5.0 assembly/disassembly production

以人为中心的4.0/5.0拆装生产风险管理决策模型

• 批准号: RGPIN-2022-03387
• 负责人: Nadeau, Sylvie
• 金额: $ 2.26万
• 依托单位: École de technologie supérieure
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=754483
• 关键词: Risk; management; decision; making; models

A sustainable business must place increased emphasis on balancing, indeed optimizing its performance imperatives with the wellbeing of its workers. In a context of sustainable development and unbridled innovation, the reality of our business includes uncertainty and constant adaptation and adjustments. Businesses must be resilient, that is, robust when conditions are foreseeable, and agile in the face of uncertainty. The models available for optimal and integrated management of operational and occupational health and safety (OHS) risks are based on the hypothesis that the business system represented behaves predictably and can be deconstructed entirely into its component parts. These models also aim to confine all system variability within established boundaries. To understand business management systems under real industrial conditions and support decision making, it is crucial that the models used to represent system functioning evolve over time towards integrated systemic and proactive models that allow combining diverse sources of variability and uncertainties. The aim of the proposed research activities is therefore to develop cutting-edge risks management decision-making models for human-centered, resilient and sustainable 4.0/5.0 assembly/disassembly production. We shall use a mixed approach (qualitative and quantitative) based on an integrated design, in realistic case studies drawn from the aeronautical sector and an assembly/disassembly test bench of the Applied Human Factors Lab of École de technologie supérieure. Firstly, a human factors/ergonomics study will be done to consolidate proper data to document twelve realistic case studies of future digitalized work. Secondly, we will design joint industrial engineering (IE)-ergonomics/human factors (HF/E) research protocols for the case studies and lab test each case study to be deployed on the Applied Human Factors lab assembly/disassembly test bench. Thirdly, we will conduct lab experiment for the twelve realistic case studies to produce original data and model systems studied. Finally, we will quantify the models using safe, trustworthy and human-centered artificial intelligence-based algorithms as well as expert elicitation. This proposal will provide cutting-edge decision-making models and knowledge to balance and optimize organizational performance imperatives with the wellbeing of workers on the path to processes digitalization. Scientific advances are expected for one high-priority industrial sector in Canada, namely aeronautics. Assembly/disassembly being an essential activity in manufacturing, among others in the transportation sector, other industrial sectors will benefit from these developments through contextualisation.

可持续发展的企业必须更加重视平衡，实际上是优化其绩效要求和员工的福祉。在可持续发展和肆无忌惮的创新的背景下，我们业务的现实包括不确定性和不断的适应和调整。也就是说，在可预见的情况下是稳健的，在面对不确定性时是敏捷的。可用于运营和职业健康与安全 (OHS) 风险的优化和综合管理的模型基于这样的假设：所代表的业务系统的行为是可预测的并且可以。被彻底解构这些模型还旨在将所有系统的可变性限制在既定的范围内，以了解实际工业条件下的业务管理系统并支持决策，用于表示系统功能的模型随着时间的推移向集成的系统和功能发展是至关重要的。因此，拟议研究活动的目的是开发以人为本、有弹性和可持续的 4.0/5.0 组装/拆卸生产的尖端风险管理决策模型。使用混合方法（定性和定量）基于综合设计，在来自航空部门的实际案例研究和高等技术学院应用人为因素实验室的组装/拆卸测试台上，首先将进行人为因素/人体工程学研究。其次，我们将为案例研究设计联合工业工程（IE）-人体工程学/人为因素（HF/E）研究协议。并在应用人为因素实验室组装/拆卸测试台上对每个案例研究进行实验室测试。第三，我们将对十二个实际案例研究进行实验室实验，以产生原始数据和研究的模型系统。使用安全、值得信赖和以人为本的人工智能算法以及专家启发，该提案将提供尖端的决策模型和知识，以在流程数字化的道路上平衡和优化组织绩效要求与员工的福祉。科学进步有望一组装/拆卸是加拿大优先考虑的工业部门，是制造业和运输部门的一项重要活动，其他工业部门将通过情境化从这些发展中受益。