SoS in Disasters: Why following the manual can be a mistake

According to both the US Geological Survey and the World Bank, $280 billion dollars could have been saved if$40 billion dollars had been invested in disaster prevention. Natural and human-made disasters that have occurred over the last few years show that there is a gap in disaster prevention caused by the interconnected nature of risks, which cannot be foreseen with current risk management methods. In this paper we point out how disaster management could benefit from a SoS approach in emergency response and preparedness strategies. Using recent disasters as case studies, we identify some keys to success in managing a SoS in preparation, during and in the aftermath of a disaster. In particular, we discuss the idea of the interconnectedness of risks in independent and interdependent systems and the application of Boardman and Sauser’s concept of “creative disobedience”, which are fundamental for goal achievement of systems belonging to a SoS

Application of system dynamics to evaluate the social and economic benefits of infrastructure projects

Published: 29 March 2017Cost-Benefit Analysis (CBA) is often employed to inform decision makers about the desirability of transport infrastructure investment options. One of the main limitations of traditional CBA approaches is that they do not provide a dynamic view that explicitly illustrates the cost and benefit relationships between component entities over time. This paper addresses this issue by describing a System Dynamics (SD) approach that can perform transport infrastructure CBA through the application of systems thinking to develop a causal-loop model that can subsequently be operationalised into an executable stock-and-flow model. Execution of this model readily enables sensitivity analysis of infrastructure investment options and visualisation of the cost-benefit behaviour of each variant over time. The utility of the approach is illustrated through a case study, the Co Chien Bridge project in Vietnam, using a model that incorporates conventional economic metrics and factors that measure indirect project benefits, such as impact on gross domestic product, unemployment rate, and total taxes gained from affected economic sectors.Tiep Nguyen, Stephen Cook and Vernon Irelan

Health care of children

It is estimated that at the present rate of population growth, at least 21,5 million children under the age of 14 years will require health care by the year 2000. With the available medical manpower, it is not possible to provide the present child population with the uniformly high standard of health care to which they are entitled. It is urged that Paediatric Nurse Associates be trained to assist in this regard. A preliminary report of the training scheme introduced for Paediatric Nurse Associates at the Red Cross War Memorial Children's Hospital is presented for discussion and criticism.S. Afr. Med. J., 48, 1752 (1974)

Health care of children

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Macrophages and Fibroblasts, Key Players in Cancer Chemoresistance

Chemotherapy is routinely used in cancer treatment to eliminate primary and metastatic tumor cells. However, tumors often display or develop resistance to chemotherapy. Mechanisms of chemoresistance can be either tumor cell autonomous or mediated by the tumor surrounding non-malignant cells, also known as stromal cells, which include fibroblasts, immune cells, and cells from the vasculature. Therapies targeting cancer cells have shown limited effectiveness in tumors characterized by a rich tumor stroma. Tumor-associated macrophages (TAMs) and cancer-associated fibroblasts (CAFs) are the most abundant non-cancerous cells in the tumor stroma and have emerged as key players in cancer progression, metastasis and resistance to therapies. This review describes the recent advances in our understanding of how CAFs and TAMs confer chemoresistance to tumor cells and discusses the therapeutic opportunities of combining anti-tumor with anti-stromal therapies. The continued elucidation of the mechanisms by which TAMs and CAFs mediate resistance to therapies will allow the development of improved combination treatments for cancer patients

Self-organising supply networks: A case study of the SA mining industry

For efficient operation, it is vital for supply chain management leaders and policy makers to recognize the nature of the system they deal with. Supply chains, are increasingly recognized as systems of systems, which are complex networks exhibiting selforganising properties. In large scale real-life networks, selforganisation manifests itself in distinctive structural patterns, such as Power Law connectivity distribution, scale-free, fractal, and nearly decomposable modular structure. Identification of such structural patterns in real-world supply networks may provide useful insights into their dynamics and functionality, and as a result, apply adequate governance frameworks to embrace structural complexity. To this end, the methods for identification of complexity traits in real-world industrial supply networks are of interest. A case study of the mining industry supply network in South Australia has been used to propose a method for identifying self-organisation patterns in regional industrial supply network structures. The approach combines network analysis and recent methods for testing Power Law distributions. The findings provide insights into the mining industry supply network functionality, including such operational characteristics as robustness, responsiveness, flexibility, and resilience.Larissa Statsenko, Vernon Ireland, Alex Goro

A supply network governance framework: a case study of the South Australian mining industry

Purpose – The competitiveness of mining regions largely depends on the performance of the regional supply chains that provide services to mining companies. These local supply chains are often highly intertwined and represent a regional supply network for the industry. Individual companies often use supply chain strategies that are sub-optimal to overall supply network performance. To effectively respond to an uncertain business environment, policy-makers and supply chain participants would benefit by a governance framework that would allow to incentivise the formation of supply networks structures enabling effective operations. The purpose of this paper is to offer an empirically grounded conceptual framework based on Complex Adaptive Systems (CASs) governance principles, which links network governance mechanisms with supply network structure and operational performance to incentivise the formation of adaptive and resilient supply networks in the mining industry. Design/methodology/approach – A mixed method research design and a case study of the South Australian mining sector were used to collect empirical data. Qualitative interviews and network analysis of the SA mining industry regional supply network structure were conducted. The relationships between network parameters were interpreted using CAS theory. Findings – An empirically grounded conceptual framework based on CAS governance principles is developed. The case study revealed that supply chain strategies and governance mechanisms in the SA mining industry have led to the formation of a hierarchical, scale-free structure with insufficient horizontal connectivity which limits the adaptability, responsiveness and resilience of the regional supply network. Research limitations/implications – The findings are drawn from a single case study. This limits generalisability of the findings and the proposed framework. Practical implications – The proposed framework draws the attention of the policy-makers and supply chain participants towards the need for utilising CAS governance principles to facilitate the formation of adaptive, responsive and resilient regional supply networks in the mining industry. Originality value – The proposed conceptual framework is an attempt to parameterise the governance of the regional supply networks in the mining industry.Larissa Statsenko, Alex Gorod and Vernon Irelan

A weakly nonlinear Alfvénic pulse in a transversely inhomogeneous medium

The interaction of a weakly nonlinear Alfvénic pulse with an Alfvén speed inhomogeneity in the direction perpendicular to the magnetic field is investigated. Identical to the phase mixing experienced by a harmonic Alfvén wave, sharp transverse gradients are generated in the pulse by the inhomogeneity. In the initial stage of the evolution of an initially plane Alfvénic pulse, the transverse gradients efficiently generate transversely propagating fast magnetoacoustic waves. However, high resolution full MHD numerical simulations of the developed stage of the pulse evolution show that the generation saturates due to destructive wave interference. It is shown that the weakly non-linear description of the generated fast magnetoacoustic wave is well described by the driven wave equation proposed in Nakariakov et al. (1997), and a simple numerical code (2D MacCromack), which solves it with minimal CPU resources, produces identical results to those obtained from the full MHD code (Lare2d, Arber et al. 2001). A parametric study of the phenomenon is undertaken, showing that, contrary to one's expectations, steeper inhomogeneities of the Alfvén speed do not produce higher saturation levels of the fast wave generation. There is a certain optimal gradient of the inhomogeneity that ensures the maximal efficiency of the fast wave generation