Regional planning primarily aims at reducing the disparity in socio-economic status of the people, and the wide gulf between urban and rural life. A planning region or an area comprises of many complex structures and behavioural phenomena which more or less change with time due to some external...

System resilience is the ability for complex, dynamic-adaptive socio-technical systems to absorb and rebound from trauma or stress, and to avoid "jousting with dragons" where results are uncertain and often fatal. In a safety context, the term "dragons" originates from Professor David Woods at...

A rapid development and omnipresence of the World-Wide-Web and its technologies have had remarkable impact on the field of computer simulation, understood as a numerical technique for conducting experiments with certain types of mathematical and logical models, describing the behavior of a...

This paper reports on the current state of a project to develop a system dynamics (SD) model for urban housing markets in China, aimed at facilitating policy analysis and supporting practical educational tools that might reach large numbers of potential entrepreneurs in China. Although numerous...

Application of systems science in business has lately emerged as an exciting area of applied research. It aims to study the behavior of complex business systems. The present study attempts to converge the two powerful approaches of system approximation in form of artificial neural network and...

The counterfeit drugs supply chain dynamics follow a counterintuitive pattern. Despite it being targeted by law enforcement policies, it has been going on increasing rampantly. This paper proposes a dynamic hypothesis based on systems approach, questioning the very way in which the supplies of...

Neural networks have the potential of accurately describing the behavior of extremely complex systems such as being encountered in decentralized logistics. Learned feed-forward is a great way to reduce dynamic tracking error of a feedback based decentralized logistics control system in those...

Application of systems science in business has lately emerged as an exciting area of applied research. It aims to study the behavior of complex business systems. The present study attempts to converge the two powerful approaches of system approximation in form of artificial neural network and...