Using tailored methodical approaches to achieve optimal science outcomes

Lory M. Wingate

doi:10.1117/12.2231330

18 August 2016 Using tailored methodical approaches to achieve optimal science outcomes

Lory M. Wingate

Proceedings Volume 9911, Modeling, Systems Engineering, and Project Management for Astronomy VII; 99111I (2016) https://doi.org/10.1117/12.2231330
Event: SPIE Astronomical Telescopes + Instrumentation, 2016, Edinburgh, United Kingdom

Abstract

The science community is actively engaged in research, development, and construction of instrumentation projects that they anticipate will lead to new science discoveries. There appears to be very strong link between the quality of the activities used to complete these projects, and having a fully functioning science instrument that will facilitate these investigations.[2] The combination of using internationally recognized standards within the disciplines of project management (PM) and systems engineering (SE) has been demonstrated to lead to achievement of positive net effects and optimal project outcomes. Conversely, unstructured, poorly managed projects will lead to unpredictable, suboptimal project outcomes ultimately affecting the quality of the science that can be done with the new instruments. The proposed application of these two specific methodical approaches, implemented as a tailorable suite of processes, are presented in this paper. Project management (PM) is accepted worldwide as an effective methodology used to control project cost, schedule, and scope. Systems engineering (SE) is an accepted method that is used to ensure that the outcomes of a project match the intent of the stakeholders, or if they diverge, that the changes are understood, captured, and controlled. An appropriate application, or tailoring, of these disciplines can be the foundation upon which success in projects that support science can be optimized.

Citation Download Citation

Lory M. Wingate "Using tailored methodical approaches to achieve optimal science outcomes", Proc. SPIE 9911, Modeling, Systems Engineering, and Project Management for Astronomy VII, 99111I (18 August 2016); https://doi.org/10.1117/12.2231330

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