QUANTITATIVE ANALYSIS OF COMPLEX ENGINEERING SYSTEMS

SYNEXXUS provides numerous types of studies for a variety of clientele.  Using the concept of lateral alignments and methods for mathematically analyzing and forecasting decisions, social network analysis and real options analysis, SYNEXXUS delivers individual and distinct studies for clients in the commercial and defense sector.  Strategies used by groups and organizations can be evaluated in a number of ways and SYNEXXUS has identified a profitable business model to execute delivery to our customers.  Partnering with former and current faculty and students from the Massachusetts Institute of Technology, SYNEXXUS has created a unique product for clients to address their needs.

Decisional Alignment to Forecast Network Interactions (DAFNI)

DAFNI is an operational model to determine the lateral alignment of socio-economic and political systems.  This methodology may help facilitate forecasting by giving policy makers a policy driven "flight simulator" which can model intent and anticipate outcome.  DAFNI is not a method to predict future events, but rather mathematical methods, which anticipate outcomes by more accurately modeling the decision-making processes within organizations. Regardless of the group involved, whether financial institutions, corporate boards, national security policy makers or terrorist cells, DAFNI entails the alignment of stakeholder preferences.  Knowing this alignment behavior and understanding the processes, provides business executives, investors and military commanders with clearer options to anticipate the activities of aligned and non-aligned actors alike.  DAFNI is designed to determine these lateral alignment issues as a method to overcome strategic and operational surprises.

DAFNI uses proprietary social network methods for visualizing and mapping relationships between individuals, businesses, institutions and information databases.  What emerges is an understanding of the continuously evolving complex social structures and overlapping and analysis that reveals social interactions between financial, business and political activities.  DAFNI also captures multi-dimensional aspects of emerging social dynamic and uses this understanding in the system to forecast intent.

DAFNI incorporates this methodology to enable a better understanding of complex problems.  This in turn facilitates decision-makers, executives and engineers with not only more informed management decisions, but also provide them with the necessary tools to hedge against uncertainty.

Social Network Analysis

Social networks operate on many levels, from small local groups to entire global communities, each actor playing a critical role in determining the way problems are solved, how organizations are run and the degree to which individuals will participate in achieving their goals.  Social network analysis is based on an assumption that the importance of relationships among interacting units, actors and information is of critical importance.

The SYNEXXUS Team uses the most advanced social network methods for visualizing and mapping relationships between individuals, businesses, institutions and information databases.  What emerges is an understanding of the continuously evolving complex social structures that humans create.  SYNEXXUS recognizes the importance of capturing all of the dimensional aspects of emerging social dynamics and uses this understanding in the systems we design

Real Options Analysis

Real Options analysis focuses on the temporal aspects of risk, attempting to accurately capture the potential for future value in investments from decisions made today.  An options-based approach is necessary where management needs flexibility when making decisions that have high levels of uncertainty.  Real Options helps identify and quantify the strategic value of each decision along a product's development path or human network activity

The SYNEXXUS Team incorporates this methodology into all of our projects thereby enabling our clients to understand the complex business problems they face.  This in turn facilitates executives and engineers with not only more informed management decisions, but provides them with the necessary tools to hedge against uncertainty.