In the broad sense, the Bayesian networks (BN) are probabilistic graphical models that
possess unique methodical features to model dependencies in complex networks, such as …

Today's supply chains (SC) have become vulnerable to unexpected and ever-intensifying
disruptions from myriad sources. Consequently, the concept of supply chain resilience …

Sustainability-related risks and risk management frameworks have been introduced in the
literature to help project managers identify and manage critical risks influencing project …

In educational facility interiors, the risk of congestion and trampling among occupants during
the evacuation process presents a significant safety concern. Therefore, assessing the risk …

Digital twin and physical internet adoption based on advanced digital technologies is
gaining significance in the recent times. Digital twin is one of the enabling technologies that …

The automobile industry is the pillar industry of the national economy. The good operation of
the automobile supply chain is conducive to the sustainable development of the economy …

Purpose The pharmaceutical industry faces multiple risks that adversely affect its
performance. Within these risks, some dependencies have been observed, which help in …

Nowadays, organizations seek to effectively manage their logistics processes to increase
customer satisfaction and achieve a competitive advantage. To improve the performance …

Infant formula milk (IFM) is critical in the diet of many babies and must be of high-quality.
Unfortunately, IFM has been a target of adulteration by those attempting to make illegal …

Several techniques have been proposed in supply chain risk management to capture
causality among risks in a network setting and prioritize risks regarding their network-wide …