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Humanitarian Supply Chain is central to the capacity building in the eco-communities which are located in the disaster prone regions. In this study, an attempt has been made to develop a system dynamics model of humanitarian supply chain in order to capture causal dynamics and inter linkages within the system under investigation and suggest some critical intervention strategies for enhancing overall performance. An economic sub-sector base model for the Indian tribal communities has been calibrated and used for simulation analysis as a reference case-study. Conclusion & Results: It has been established through the simulation results that the success of short-term relief work lies in the long-term capacity building and, is critical to the performance of both current and future humanitarian operations and programs. The scenarios studied in this paper are with respect to those crucial decision environments and their underlying complexities which create an inherent endogenous dynamics perpetuated by various stakeholders giving functional response towards the humanitarian supply chain.

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In the recent times, India has emerged as one of the fastest growing telecom markets in the world and witnessed a telecommunication revolution brought about by a collaboration of government, industry, and the scientific community. It has truly been a success story of indigenous technology development and effective diffusion management of mobile telephony services. In the present paper, a system dynamics integrated model of Indian telecommunication sector (Mobile Telephony) has been calibrated to demonstrate the nature of interactions among system variables and the resultant outcome which assume degrees of importance at different stages of the diffusion/adoption process in the Indian telecom sector. The work done here proves how the application of system dynamics modeling and simulation coupled with soft computational neural networking can improve the holistic understanding of the dynamic structural complexities and forces of telecom diffusion. Simulation results show the potential of system dynamics as a promising tool to capture and predict the structural behavior of innovation diffusion process.

Abstract: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 counterfeit drugs have been regulated. Using the modelling framework of system dynamics (SD), a holistic influence model is propounded highlighting the mutual interplay and causality of influencing factors under the counterfeit drugs supply chain ecosystem. Various decision scenarios have been simulated assessing alternative policies for giving holistic response. The goal of this research was to identify the key policy intervention points critical for decision-making. It was also intended to assess the cascading effect that these interventionist decisions create over the entire chain. The simulation results show that expediting technology adoption and community education, together with stringent licensing and review control, can significantly reduce the incidences of counterfeit drugs supplies.