Intelligent search, especially when paired with generative AI, can help companies optimize supply chain processes. Intelligent search, for example, can swiftly sift through vast amounts of data, ...

The relentless pursuit of supply chain optimization can sometimes lead to decisions based on outdated tactics or inaccurate information. Consider the delicate balance between risk mitigation, ...

My Ph.D. from Wharton is in operations research, which I received a long time ago. My graduate studies included learning about constraint-based optimization algorithms (such as linear programming) and ...

Fruchter, G. (2026) Opportunism in Supply Chain Recommendations: A Dynamic Optimization Approach. Modern Economy, 17, 26-38.

Harnessing the power of IoT and smart technologies is a strategic move toward driving success and sustainability in supply chain management. The role of the Internet of Things in supply chain ...

A global consumer goods company faced a growing challenge: planning its end-to-end supply chain with speed and flexibility. Its optimization system, based on mixed-integer programming (MIP), took ...

Abstract: Fraud in supply chain operations poses significant risks to businesses, including financial losses, operational inefficiencies, and erosion of stakeholder trust. With the increasing ...

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

In the ever-evolving systems within each healthcare organization, pressures on supply chain are increasing with no end in sight. Behind the scenes of every organization, the intricately choreographed ...