Supply chain agility is crucial for organizations striving to weather today's turbulent business
climate. Agility requires proactive risk minimization. This paper gives a machine learning …

Supply chain agility has become a key success factor for businesses trying to handle
upheavals and uncertainty in today's quickly changing business environment. Proactive risk …

Although predictive machine learning for supply chain data analytics has recently been
reported as a significant area of investigation due to the rising popularity of the AI paradigm …

Software testing identifies defects in software products with varying multiplying effects based
on their severity levels and sequel to instant rectifications, hence the rate of a research study …

Despite advanced supply chain planning and execution systems, manufacturers and
distributors tend to observe service levels below their targets, owing to different sources of …

In the ever-evolving landscape of cybersecurity, early threat detection and risk assessment
are paramount for proactive defense strategies. This paper presents a comprehensive …

Managing supply chain risks has received increased attention in recent years, aiming to
shield supply chains from disruptions by predicting their occurrence and mitigating their …

With our new norms in Operations Management, including globalization of our supply
chains, increasing demand and supply uncertainty, and supply chain network complexity …

Context: Machine learning software defect prediction is a promising field of software
engineering, attracting a great deal of attention from the research community; however, its …

The operations landscape today is more complex than ever. IT Ops teams have to fight an
uphill battle managing the massive amounts of data that is being generated by modern IT …