In recent years, real-time information has become a key value-added proposition for bolstering efficiency and decreasing waste in modern supply chains. Is this technology being utilized to its maximum effect, or are there still new use-cases for real-time information?

What, exactly, is it that makes Industry 4.0 and job shop scheduling a match made in heaven?

As Gartner defines it, S&OE is tasked with making small daily and weekly adjustments to inventory restocking, transport logistics, and other matters that require real-time monitoring, making it an ideal workflow for managing risk.

If you follow the news and trends in supply chain management, you’ve no doubt noticed that machine learning (ML) is often touted as the next major innovation in this long line of technological evolutions—but what, exactly, is it, and how can supply chain managers put it to use?

Logistics 4.0 is more than just an emerging component of Industry 4.0—it's a powerful connecting force in the global supply chain.

Companies throughout the global value stream have been slow to adopt in-memory technology—in part because they’re not entirely sure what the relevant value propositions are. In pursuit of clarifying those value propositions, here are five ways that in-memory technology can help your business.

As more and more businesses go digital, a digital supply chain is quickly becoming a necessity in the automotive and manufacturing worlds.

What are the distinct elements that define Logistics 4.0 systems? How do these elements incorporate the logic of Industry 4.0, and how do they build on the logistics paradigms of the past?