Technical Report: Enterprise Systems Analysis

Report Number: Technical Report SERC-2017-TR-106

Report Name: Enterprise Systems Analysis

Publication Date: April 30 2017 cover_serc-2016-tr-102-capstone_marketplace_rt-131

Project: Multi-Level Socio-Technical Modeling and Enterprise Systems Analysis


SERC-2017-TR-106

Excerpt of Introduction

The purpose of the Enterprise Systems Analysis line of research is to develop and evaluate a methodology for modeling and analyzing enterprise systems. We define an enterprise system as a set of interacting organizations that serve a purpose yet have no locus of control. Their behavior is often complex and must be viewed simultaneously from several different perspectives to be understood. The US Department of Defense (DoD) faces a number of challenges where there are multiple interacting organizations with no central locus of control.

Consequently, DoD has requested research to enable DoD and Government policy makers to better understand these enterprise problems and shape policy appropriately. More specifically, any enterprise systems analysis methodology should enable:

  • Representing the “as-is” enterprise, the “to-be” enterprise, and the path between them
  • Understanding relationships between variables and techniques for projecting outcomes and performance
  • Providing a means for experimentation and creation of response surfaces for analysis of key tradeoffs
  • Providing a systematic method for searching for policy tipping points and identifying counterintuitive results
  • Creating an interactive environment for discussion and debate of strategies, policies, and plans
  • Enabling key stakeholders to understand the implications and potential second order effects of policy and resource decisions

The work performed during this research task is a direct follow-on to the work performed during previous research tasks. The outcome of the prior work was a shift in emphasis away from building a unitary enterprise model toward a core-peripheral approach in which “peripheral” models could be added or removed as needed to generate scenarios of interest to enterprise stakeholders. Also highlighted, via a series of peer-reviews, was that the methodology needed to be enhanced to better detect unintended or counter-intuitive policy consequences and to better deal with multi-scale ontologies. Consequently, the major tasks were:

  1. Apply the core-peripheral approach to a case study of protecting critical infrastructure
  2. Develop and validate counter-intuitive results, secondary effects, and policy tipping points
  3. Extended canonical phenomena and model reuse methods to include multi-scale ontologies
  4. Update the enterprise analysis methods to incorporate the results of the other tasks

Additional Members of Research Team:

  • Joana Cardoso
  • Christopher Klesges

Researchers

Collaborators