| description abstract | Growing trends toward increased complexity and prolonged useful lives of engineering systems present challenges for system designers in accounting for the impacts of post-design activities on system performance (e.g., costs, reliability, customer satisfaction, environmental impacts). Examples of the post-design activities include manufacturing, condition monitoring, remaining life prediction, operations and maintenance, service logistics, as well as end-of-life options. It is difficult to develop accredited lifecycle system performance models because these activities only occur after the system is built and operated. Thus, system design and post-design decision-making have traditionally been addressed separately, leading to suboptimal performance over the system’s lifecycle. | |