Abstract
The realization of large-scale complex engineered systems is contingent upon satisfaction of the preferences of the stakeholder. With numerous decisions being involved in all the aspects of the system lifecycle, from conception to disposal, it is critical to have an explicit and rigorous representation of stakeholder preferences to be communicated to key personnel in the organizational hierarchy. Past work on stakeholder preference representation and communication in systems engineering has been primarily requirement-driven. More recent value-based approaches still do not offer a rigorous framework on how to represent stakeholder preferences but assume that an overarching value function that can precisely capture stakeholder preferences exists. This article provides a formalism based on modal preference logic to aid in rigorous representation and communication of stakeholder preferences. Formal definitions for the different types of stakeholder preferences encountered in a systems engineering context are provided in addition to multiple theorems that improve the understanding of the relationship between stakeholder preferences and the solution space.
Highlights
Tremendous cost growths associated with Major Defense Acquisition Programs (MDAPs) is a crucial problem posed to the Department of Defense (DoD)
Multiple agencies have recognized the concerns in this growth, as evident by NSF, NASA, and DARPA launching a series of workshops that address the challenges and opportunities associated with the field of Systems Engineering and Design [2,3,4,5,6]
Every finite poset has at least one maximal element. This theorem is fundamental in nature but is necessary for proofs in Theorems 2 and 3, where we investigate the relationship between the structure of preference, represented through the betterness relation, and the solution space
Summary
Multiple agencies have recognized the concerns in this growth, as evident by NSF, NASA, and DARPA launching a series of workshops that address the challenges and opportunities associated with the field of Systems Engineering and Design [2,3,4,5,6]. All of these workshops identified a need for underlying scientific foundations in systems engineering. One of the critical topics discussed in the workshops and past research is elicitation, representation, and communication of preferences associated with stakeholders who claim ownership of the large-scale complex engineered system (LSCES) under development. Value functions are formed as a function of system characteristics known as attributes and are typically singular in unit (such as money or probability of mission success) that directly correlate to the stakeholder’s preference
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