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Many manufacturing companies are experiencing more and more wider variation in market growth and customer demand. Studies have been conducted over the years to improve the accuracy of the manufacturing forecast. However, the theoretical forecast models so far haven't achieved much success and the gaps between forecast and actual demand are still wide that a buffer has to be built up especially for...
Marine incident reports available from official marine bodies contain a wealth of information about the type, causes of incident, and details on the sequence of events that lead to the incident. Knowledge discovery and retrieval of useful information through content analysis and text mining from such reports will help us to understand the primary/secondary causes for the incidents and establish the...
Infectious disease outbreaks are a huge burden on healthcare, causing hospitalizations, deaths and rigorously impairing the economy. In this work, an age-structured multi-agent model has been developed to simulate an epidemic spread among the US population and strategize adaptive vaccination planning to control the spread. The population was split into six distinct groups of agents depending upo on...
Spatio-temporal modeling of historical marine incidents to identify the hotspots can aid scenario planning to strategize safer navigation in the region of interest. However, applications of GIS based approaches for spatio-temporal modeling to identify the hotspots and utilizing these results to plan a safer navigation through a cloud-based framework is a rarity in the literature. The proposed approach...
The cost-optimal trend in global competitive environment has led to lean, complex and consequently vulnerable supply chains. This vulnerability is high due to the presence of increasing dependency in lean supply chain networks. Hence, it is essential for companies to regulate the supply chain network structure and information sharing strategies so as to be more resilient to disruptions/risks. In order...
Study on probabilistic diffusion among networked agent is gathering attentions because it can represent information diffusion phenomena in this well-interconnected society that have been led by the development of the internet. In real world networks, modular structure is known as ubiquitous characteristics. And, in this paper, spectral properties of several networks, including modular networks, are...
Increase in the rate of disruptive events in the recent times and their economic implications on business continuity have raised the attention in supply chain disruption research. Effective strategic planning during disruptions can be accomplished by assessing the robustness and resilience of the existing supply chain network. This talk will illustrate the application of multi-agent approach at modeling...
With increased complexity, supply chain networks (SCNs) of modern era face higher risks and lower efficiency due to limited visibility. Hence, there is an immediate need to provide end-to-end supply chain visibility for efficient management of complex supply chains. This paper proposes a visualization scheme based on multi-hierarchical modular design and develops a supply chain visualization platform...
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