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

拟议的研究将调查生产规划和优化问题的制造和再制造（MAR）系统集中在航空航天和铁路设备的维护，维修，大修（MRO），翻新和重新组装的应用。商用飞机、航空发动机、铁路汽车等主要运输设备通过MRO和翻新进行日常维修，为公众、工业和企业提供安全经济的运输服务。这种做法已经存在了很长时间，并由交通部门监管，以确保最高水平的公共安全。由于公众对环境的关注及社会对可持续发展的追求日益增加，产品再制造及材料╱零部件再用越来越受到重视，以减少生产及能源及资源使用中的排放。一般再制造系统优化的研究是活跃的，有丰富的文献。然而，用于生产规划和优化航空航天和其他运输设备的MRO过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过程优化的分析和数学模型以及解决方法。所开发的模型将捕捉航空航天和铁路设备拆卸、MRO、修复、翻新和其他相关活动中的共同特征和决策过程。从解决开发的模型的最佳解决方案将被彻底分析的实际应用，因为往往是最佳的模型解决方案可能不一定是最佳的解决实际的MRO问题，由于模型近似和参数和数据值的不确定性。本文的研究成果对一般再制造系统优化具有一定的补充作用，为再制造实践者提供了科学的决策支持工具。根据2018年政府报告“加拿大航空航天业状况”，MRO活动的GDP占加拿大航空航天GDP的32%，在2012 - 17年期间增长超过25%。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）以项目为基础进行。本研究开发的针对实际应用的科学工具有望使加拿大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。

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.