Scott Ferguson

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The demands on today’s products have become increasingly complex as customers expect enhanced performance across a variety of diverse and changing system operating conditions. Reconfigurable systems are capable of undergoing changes in order to meet new objectives, function effectively in varying operating environments, and deliver value in dynamic market(More)
Our goal in this work is to develop analytical tools to support the definition of balanced and compatible sets of vehicle specifications in the early stages of vehicle development. In this paper, we discuss the development and application of a Technical Feasibility Model (TFM) that may be used in preliminary design to assess the technical feasibility and(More)
BACKGROUND Prospective memory is a common deficit following brain injury that can reduce an individuals' ability to complete everyday tasks. The smartphone is a device that may compensate for these difficulties using the calendar's prompting function. Reminders can be programmed remotely using email to phone synchronization. OBJECTIVE To explore whether(More)
Complex systems need to perform in a variety of functional states and under varying operating conditions. Therefore, it is important to manage the different values of design variables associated with the operating states for each subsystem. The research presented in this paper uses multidisciplinary optimization (MDO) and changeable systems methods together(More)
Reconfigurable system design is known to be a strategy that offers vast performance improvement potential over traditional designs. Extending from previous work, this paper presents a strategy for assessing the domination of a reconfigurable concept. Using objectives that represent the performance demands placed upon a system at different segments of a(More)
Genetic searches often use randomly generated initial populations that maximize genetic diversity to thoroughly sample the design space. While many of these initial configurations perform poorly, the tradeoff between population diversity and solution quality is typically acceptable for small design spaces. However, as the design space grows in complexity,(More)