Bayesian Belief Network Approach for Supply Risk Modelling

Today’s global and complex world increased the vulnerability to risks exponentially and organizations are compelled to develop effective risk management strategies for its mitigation. The prime focus of research is to design a supply risk model using Bayesian Belief Network bear in mind the tie-in of risk factors (i.e. objective and subjective) those are critical to a supply chain network. The proposed model can be re-engineered as per new information available at disclosure, so risk analysis will be current and relevant along the timeline as so situation is strained. The top three factors which influenced profitability were transportation risk and price risks. Netica is the platform used for designing and running simultaneous simulations on the Bayesian Network. The proposed methodology is demonstrated through a case study conducted in an Indian manufacturing supply chain taking inputs from supply chain/risk management experts. .

Exploring the Potential of Internet News for Supply Risk Assessment of Metals

The growth in demand for material resources is inevitable to maintain sustainable development. Especially for metallic minerals, this growth in demand increases the supply risk; therefore, its evaluation is essential to keep the resource supply stable. Supply risk assessment has a long history in both academic and practical studies, but there is no existing study using internet news as its main information source. In this study, we obtained related news articles from S&P Global Market Intelligence (SPG) and used them for the supply risk analysis. Using already topic-labeled articles and a gradient boosting framework, non-labeled articles are also labeled and categorized by topic. The articles were assigned to metallic minerals by SPG. We also scored each article using simple sentiment analysis. In short, we found significant potential in internet news articles as information for complementary assessments to existing methods, by providing in-depth information on regulatory or corporate financial activities, which are difficult to cover using the existing numerical indices. While it is useful, it should be noted that the volume of news articles depends on the interests of their readers, and many articles capture changes rather than states. As long as they are used with these caveats in mind, news articles can be very useful as a complementary source of information to existing analytical methods, especially for short-term supply risk assessment.

The Future of the Clean-Energy Minerals in India: Issues and Challenges Out to 2050

The role of clean-energy minerals (CEMs) in the modern non-carbon energy technology development is indispensable. The scarcity of CEM resources in India is a severe concern. Almost complete import dependence on CEM-producing countries makes India vulnerable to the supply risk that could arise due to various reasons. For example, for India to do business with countries like the Democratic Republic of Congo (DRC) and China could be challenging given the geopolitical issues India have with China and the internal political and economic crises DRC have within. Situations like this call for securing domestic CEM resources and strengthening the bilateral trade agreements with friendly nations. India needs to focus on investing heavily in the domestic exploration and acquiring overseas leases of CEMs. Research and development promotion are crucial to finding reliable substitutes for priority CEMs such as graphite, lithium and cobalt.