Manufacturing-remanufacturing systems optimization and solution analysis considering multiple objectives and uncertainties

考虑多目标和不确定性的制造-再制造系统优化和解决方案分析

• 批准号: RGPIN-2019-04501
• 负责人: Chen, Mingyuan
• 金额: $ 2.26万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=714328
• 关键词: Manufacturing; remanufacturing; systems; optimization; solution

The proposed research will investigate production planning and optimization problems in manufacturing and remanufacturing (MAR) systems concentrating on applications in aerospace and rail equipment maintenance, repair, overhaul (MRO), refurbishment, and reassembly. Major transportation equipment such as commercial aircraft, aero engines, railway cars, are routinely serviced through MRO and refurbishment to provide safe and economical transportation services to public, industries and businesses. Such practice has been in place for long time and regulated by transportation authorities for highest level of public safety. Due to increased public concerns on environment and societal strive for sustainability, product remanufacturing and material/component reuse are more emphasized for reducing emission in production and the use of energy and resources. Research in general remanufacturing systems optimization is active with abundant literature available. However, numerical and mathematical tools for production planning and optimizing MRO processes of aerospace and other transportation equipment are limited. In this proposed research, analytical and mathematical models and solution methodologies for aerospace and rail equipment MRO process optimization will be developed. The developed models will capture common features and in decision making processes in aerospace and rail equipment disassembly, MRO, reconditioning, refurbishment, and other related activities. Optimal solutions from solving the developed models will be thoroughly analyzed for practical applications as often that optimal model solutions may not necessarily be optimal for solving the actual MRO problems due to model approximations and uncertainties of parameter and data values. The results of the proposed research complement that in general remanufacturing system optimization and provide scientific decision support tools for MRO practitioners. According to 2018 government report, "State of Canada's Aerospace Industry", GDP of MRO activities shares 32% of Canadian aerospace GDP and grew by over 25% in the period of 2012-17. Rail MRO in Canada is typically performed by Canadian railway operators or by small and medium enterprises (SME) on project basis. The scientific tools developed in this research aiming at actual applications are anticipated to make Canadian MRO industry more competitive in producing safe, economical and sustainable transportation equipment.

拟议的研究将调查 制造和生产中的生产计划和优化问题 再制造 (MAR) 系统专注于航空航天和 铁路设备维护、修理、大修 (MRO)、翻新和重新组装。商用飞机等主要运输设备、 航空发动机、铁路车辆通常通过 MRO 和翻新进行维护，为公众、工业和企业提供安全、经济的运输服务。这种做法由来已久，并受到交通部门的监管。 最高级别的公共安全。由于增加 公众对环境和社会的关注，努力实现可持续发展、产品 为了减少生产以及能源和资源的使用中的排放，更加强调再制造和材料/部件的再利用。通用再制造系统优化的研究非常活跃，文献丰富。然而，用于生产规划和优化航空航天和其他运输设备的 MRO 流程的数值和数学工具是有限的。在这项拟议的研究中，将开发航空航天和铁路设备 MRO 流程优化的分析和数学模型以及解决方法。开发的模型将捕捉航空航天和铁路领域的共同特征和决策过程 设备拆卸、MRO、修复、翻新和其他相关活动。解决开发模型的最佳解决方案将针对实际应用进行彻底分析，因为由于模型近似以及参数和数据值的不确定性，最佳模型解决方案通常不一定是解决实际 MRO 问题的最佳方案。所提出的研究结果补充了一般的再制造系统优化，并为 MRO 从业者提供了科学的决策支持工具。根据2018年政府报告《加拿大航空航天工业状况》，MRO活动的GDP占加拿大航空航天GDP的32%，并在2012-17年期间增长了25%以上。加拿大的铁路 MRO 通常由加拿大铁路运营商或中小型企业 (SME) 按项目进行。这项研究开发的针对实际应用的科学工具预计将使加拿大 MRO 行业在生产安全、经济和可持续的运输设备方面更具竞争力。