SITE PURPOSE AND GOALS
This site is dedicated to the discussion, development and distribution of professional material associated with the application of systems concepts to the solution of complex problems. Activities that include systems engineering, systems sciences, systems management and value engineering are considered relevant.
The primary initial functions of this site are; web publishing of professional technical papers, development of “discussion and publication themes” as well as the development of a broad based editorial board to review candidate technical papers that will be web published on a frequent basis.
The current site contains over 40 papers and presentations, with more to follow. If you want to have a paper considered for posting and discussion, please contact Joseph J. Simpson at: jjs-sbw(at)eskimo(dot)com or jjs0sbw(at)gmail(dot)com.
The current Structural Modeling Project Description Document is available at: SMPDD.
The current Structural Modeling Project Schedule is available at: SMPS.<
The SMP code and supporting material is available on GitHub at this link: smp_app.
The Inference Matrix code (under development) is available on GitHub at this link: InferenceMatrix.
Teleconference agenda is available here: Agenda
Teleconference meeting notes are available here: Notes
Teleconference read-ahead document is available here: Overview
The BSMP material is available on GitHub at this link: bsmp_app.
To download the application and associated files, just click on the "Download ZIP" button in the lower right hand column.
The GitHub site is the preferred source of the project material. This site will also be maintained.
Video series one has been deprecated. Video series two is now the main series.
The Sage Math System is available at: SAGE
The Basic Structural Modeling (BSM) Project (BSMP) is
focused on clearly defining the elements of BSM as defined by John N. Warfield. The primary
BSMP goal is the production of a set of well documented computer code that demonstrates
the proper application of BSM techniques. Each BSM element will have a text description,
outline of typical application, executable code and appropriate test material.
Please consider joining the project and contributing to the production and distribution
of a unique system science and engineering tool set. Archived versions of the BSMP documents are located at: Archive
Please consider joining the project and contributing to the production and distribution of a unique system science and engineering tool set.
Archived versions of the BSMP documents are located at: Archive
The use of Abstract Relation Types (ART) in the analysis of system structure and system component clustering is the primary focus of this paper. Two basic system definitions are presented along with two, object-clustering definitions which were obtained from a literature search. The ART analysis approach is applied to classical N-Squared Charts and Design Structure Matrices (DSM), with specific emphasis on clustering methods, types and meaning. The primary structuring relationship associated with N-Squared ART and DSM ART are evaluated and discussed. Multiple DSM ART solution approaches and techniques are detailed
First set of reviewer comments for the "Entropy Measures for System Identification and Analysis." The comment record and the referenced works are available at the links above. This was a excellent set of reviewer comments and the authors thank the reviewer for the effort.
The first part of the standard matrix example set is in draft form. Please send an email requesting a copy if you are interested in using or helping develop the standard example set. Draft Standard Example Set
Whole system metrics and measures are valuable tools for use in systems science and engineering. Entropy measures are defined, developed and demonstrated in this paper. Based on classical systems engineering methods and practices, these entropy measures indicate the degree of order/disorder in any given system. A physical entropy based metric and an information base entropy metric are aligned with the two primary components of a system: objects and relationships. The physical entropy based metric is called a connection score, and the information based metric is called an object score. A well-defined process, using these metrics, is used to evaluate the reduction of entropy and complexity associated with any specific system. The metrics and processes developed in this work have a prose component, a graphic component, and a mathematical component. These three components are aligned with the systems science techniques developed by John N. Warfield.
Innovative energy systems and renewable energy sources are the
focus of our current featured publications:
Doing Home Energy Better - The Renewable Gas Tank: The Renewable_GT
Green Power for Sustainable Transportation: Green Power
Household Carbon Reduction: Household Carbon
More Interesting Web Links
The International Council On Systems Engineering: INCOSE
The International Society for the System Sciences: ISSS
SAVE International - “The Value Society”: SAVE
The Center for the Study of Complex Systems: CSCS
New England Complex Systems Institute: NECSI
Stuart C. Dodd Institute for Social Innovation: Stuart Dodd Institute
Ackoff Center for Advancement of System Approaches: ACASA
The Institute of Electrical and Electronic Engineers; Systems, Man and Cybernetics: IEEE SMC
John Sowa's web site: SOWA
John Warfields web site: Warfield