Modeling and optimization for advanced management of the complex products for the robust circular economy in Canada

该研究计划的总体目标是开发工具和方法，用于在可持续性，制造和信息技术的新范式中通过其生命周期对复杂产品进行高级管理。目标1：为定制和开放架构产品增强生态设计建模和工具：开放架构产品是一类新的产品，具有固定的平台和模块，这些模块将在后期根据客户偏好添加。本研究旨在评估现有的生态设计工具对这些类型的产品的适用性，并提出了一个有效的工具，将可持续性纳入设计阶段。将对可视化和数据挖掘方法进行评价，以便对环境工具的设计进行战略性的深入了解。博士学位目标2：飞机报废时的先进管理：复杂产品的回收过程在材料可变性、复杂性、集成和回收物流方面具有挑战性。EoL的飞机管理正在成为航空业的一个新问题。在这项研究中，现有的EoL飞机处理系统的挑战将进行评估。新的制造技术在设计阶段，信息技术和现代物流解决方案的影响将被检查，以应对这些挑战。数据包络分析将用于评估处理系统的效率和为主要利益相关者提出的价值。将采用成本效益分析，并将模糊规则模型与蒙特-卡罗模拟相结合，评估新的制造和物流技术的影响。目标3：探索物联网（IoT）的部署，以实时数据驱动优化EoL飞机的零部件和材料回收管理及其对可持续性的影响：EoL飞机处理将被视为评估物联网对改善回收网络的影响的试点研究。废物分级方法将用于突出物联网在不同处理子流程中的应用。将评估使用嵌入式传感器和射频识别（RFID）的部件和材料识别，以便在拆卸和材料回收过程中进行智能分类。将开发一个综合的实时数据驱动的随机模型，用于优化零件和材料回收、处理操作和材料处理的调度。此外，考虑到不同参与者在EoL飞机回收物流中的作用，将确定不同参与者所感知的价值。 将采用系统动力学方法分析物联网的采用对可持续发展和主要利益相关者的影响。博士学位而硕士生将致力于这一目标。

The overall objective of this research program is to develop tools and methods for advanced management of complex products through their life cycles in the new paradigms of sustainability, manufacturing and information technology. The following research objectives are defined :Obj1: Enhancing eco-design modeling and tools for customized and open architecture products: Open architecture products are a new class of products with a fixed platform and modules that will be added in later stages based on customer preference. This research aims to assess the applicability of existing eco-design tools for these types of products and proposes an effective tool for integrating sustainability into the design phase. Visualization and data mining approaches will be evaluated to exploit strategic insights into the design for the environment tool. A Ph.D. student will work on this objective.Obj2: Advanced management of aircraft at the end of life (EoL): The recovery process of the complex products is challenging in terms of material variability, complexity, integration and recovery logistics. Management of the aircraft at EoL is becoming an emerging problem in the aviation industry. In this research, the challenges of the existing EoL aircraft treatment systems will be assessed. The implications of new manufacturing technologies in the design stage, information technology, and contemporary logistics solutions will be examined for addressing these challenges. Data envelop analysis will be used for evaluating the efficiency of the treatment systems and the value proposed for the key stakeholders. A cost-benefit analysis with a joint application of the fuzzy rule-based model with Monte-Carlo simulation will be used for evaluating the impacts of new manufacturing and logistics technologies. A master student will work on this objective.Obj3: Exploring the deployment of Internet of things (IoT) for real-time data-driven optimization of parts and material recovery management of EoL aircraft and its impacts on sustainability: EoL aircraft treatment will be considered as a pilot study for evaluating the impact of IoT for improving the recovery network. The waste hierarchy approach will be used to highlight the application of IoT in the different sub-processes of treatment. Parts and material identification with embedded sensors and Radio Frequency Identification (RFID) will be assessed for the smart sorting process in dismantling and material recovery. An integrated real-time data-driven stochastic model will be developed for the optimization of parts and material recovery, scheduling of treatment operation and material handling. Moreover, considering the role of different players in EoL aircraft recovery logistics, the value perceived by different players will be identified. A system dynamics approach will be applied for analyzing the adoption of IoT on its impacts on sustainability and key stakeholders. A Ph.D. and a Master student will work on this objective.