Document Type

Conference Paper

Publication Date

2018

Publication Title

Proceedings of the American Society for Engineering Management 2018 International Annual Conference

Pages

1-11

Conference Name

39th American Society for Engineering Management International Annual Conference, 17-20 October 2018, Coeur d'Alene, Idaho, USA

Abstract

Cotter (ASEM-IAC 2012, 2015, 2016, 2017): (1) identified the gaps in knowledge that statistical engineering needed to address and set forth a working definition of and body of knowledge for statistical engineering; (2) proposed a systemic causal Bayesian hierarchical model that addressed the knowledge gap needed to integrate deterministic mathematical engineering causal models within a stochastic framework; (3) specified the modeling methodology through which statistical engineering models could be developed, diagnosed, and applied to predict systemic mission performance; and (4) proposed revisions to and integration of IDEF0 as the framework for developing hierarchical qualitative systems models. In the last work, Cotter (2017) noted that a necessary dimension of the systems statistical engineering body of knowledge is hierarchical constraint propagation to assure that imposed environmental economic, legal, political, social, and technical constraints are consistently decomposed to subsystems , modules, and components and that modules, and subsystems socio-technical constraints are mapped to systemic mission performance. This paper presents systems theory, constraint propagation theory, and Bayesian constrained regression theory relevant to the problem of systemic hierarchical constraint propagation and sets forth the theoretical basis for their integration into the systems statistical engineering body of knowledge.

Comments

Included with the kind permission of the publisher.

Copyright, American Society for Engineering Management, 2018

Original Publication Citation

Cotter, T. S. & Quigley, P. A. (2018). In E-H. Ng, B. Nepal, E. Schott, & H. Keathley (Eds.), Systems statistical engineering – systems hierarchical constant propagation, In E-H. Ng, B. Nepal, E. Schott, & H. Keathley (Eds.), Proceedings of the American Society for Engineering Management 2018 International Annual Conference (pp. 1-11). American Society for Engineering Management (ASEM).

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