A Proposed Taxonomy for the Systems Statistical Engineering Body of Knowledge

Authors

Teddy Steven Cotter, Old Dominion UniversityFollow

Document Type

Conference Paper

Publication Date

2018

Publication Title

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

Pages

1-9

Conference Name

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

Abstract

In the ASEM-IAC 2012, Cotter (2012) identified the gaps in knowledge that statistical engineering needs to address, explored additional gaps in knowledge not addressed in the prior works, and set forth a working definition of and body of knowledge for statistical engineering. In the ASEM-IAC 2015, Cotter (2015) proposed a systemic causal Bayesian hierarchical model that addressed the knowledge gap needed to integrate deterministic mathematical engineering causal models within a stochastic framework. Missing, however, is the framework for specifying the hierarchical qualitative systems structures necessary and sufficient for specifying systemic causal Bayesian hierarchical models. In the ASEM-IAC 2016, Cotter (2016) specified the modeling methodology through which statistical engineering models could be developed, diagnosed, and applied to predict systemic mission performance. In the last research update, Cotter (2017) proposed revisions to and integration of IDEF0 as the framework for developing hierarchical qualitative systems models. In that work, Cotter noted that a hierarchical causal Bayesian socio-technical modeling body of knowledge was yet to be developed, validated, and peer reviewed. This paper reports research into development of a core taxonomy for the systems statistical engineering causal Bayesian socio-technical modeling 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. (2018). A proposed taxonomy for the systems statistical engineering body of knowledge. In E-H. Ng, B. Nepal, E. Schott, & H. Keathley (Eds.), Proceedings of the American Society for Engineering Management 2018 International Annual Conference (pp. 1-13). American Society for Engineering Management (ASEM).

Repository Citation

Cotter, Teddy Steven, "A Proposed Taxonomy for the Systems Statistical Engineering Body of Knowledge" (2018). Engineering Management & Systems Engineering Faculty Publications. 123.
https://digitalcommons.odu.edu/emse_fac_pubs/123