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; 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.

可持续的业务必须越来越重视平衡，实际上可以通过工人的福祉来优化其绩效要求。在可持续发展和无限创新的背景下，我们业务的现实包括不确定性，不断适应和调整。企业必须具有抵抗力，也就是说，在可能的情况下，在不确定性的情况下敏捷。可用于运营和占领健康与安全（OHS）风险的最佳和集成管理的模型基于以下假设：业务系统所代表的行为可以预测，并且可以完全解构为其组件部分。这些模型还旨在将所有系统可变性限制在既定边界内。为了了解实际的工业条件下的业务管理系统并支持决策，至关重要的是，用于代表系统功能进化的模型朝着综合的系统性和主动模型，从而允许将可变性和不确定性的潜水源结合起来。因此，拟议的研究活动的目的是为以人为中心，弹性和可持续的4.0/5.0组装/拆卸生产开发前沿风险决策模型。我们将使用基于综合设计的混合方法（定性和定量），在从航空部门绘制的现实案例研究中，以及écolede Technologysupérieure的应用人为因素实验室的组装/拆卸测试工作台。首先，将进行一项人为因素/人体工程学研究，以巩固适当的数据，以记录十二个现实的数字化工作案例研究。其次，我们将针对案例研究设计联合工业工程（IE） - 人工学/人为因素（HF/E）研究方案，并实验室测试每个案例研究将部署在应用的人为因素实验室组装/拆卸测试台上。第三，我们将对十二个现实的案例研究进行实验实验，以生成原始数据和模型系统研究。最后，我们将使用安全，值得信赖和以人工智能的算法以及专家启发来量化模型。该建议将提供最先进的决策模型和知识，以平衡和优化组织绩效的必要性，并在流程数字化的道路上的福祉。预计加拿大一个高优先级工业部门的科学进步，即航空。集会/拆卸是制造业中的重要活动，以及运输部门的其他工业部门将通过上下文化受益于这些发展。