September 2018 - 9 articles
The application of Systems Thinking principles to Systems Engineering is synergistic, resulting in superior systems, products, and designs. However, there is little practical information available in the literature that describes how this can be done...
This paper presents a novel five-stage integrated participatory systems modelling (IPSM) approach that can be used for a range of systems dynamics (SD) applications. The IPSM approach was formulated considering the advantages and disadvantages of exi...
The field of systemology does not yet have a standardised terminology; there are multiple glossaries and diverse perspectives even about the meanings of fundamental terms. This situation undermines researchers’ and practitioners’ ability...
Designing international development projects is challenging because the complexity of the systems on which they act makes it difficult to identify the best leverage points for intervention. This paper seeks to identify the best combinations of interv...
The economic world is very dynamic, and most phenomena appearing in this world are mutually interconnected. These connections may result in the emergence of nonlinear relationships among economic agents. Research discussions about different markets&r...
Systems thinking is an indispensable tool in comprehending and analyzing real-world phenomena. Observed processes are naturally composed of many interconnected components which ought to be studied jointly rather than individually. Engineering systems...
Usual reductionism considers systemic, acquired properties as non-systemic, possessed properties. We consider here the non-systemic usages of systems, misunderstood as non-interacting virtual objects or devices, and the misunderstanding between non-c...
Systems science methodologies do not have a consistent way of working with worldviews, even though determining stakeholder perspectives is central to systems thinking. In this paper, we propose a comprehensive “Worldview Inquiry Framework&rdquo...
Autonomous production needs to be reliable. Outputs from reliable production systems consistently conform to performance requirements. By contrast, outputs from unreliable production systems often do not conform to performance requirements. Unreliabl...
