This Week in Supply Chain Now: May 26th – 29th

A British logistician is credited with coining the term “supply chain management” in the early 1980s, but it wasn’t until the COVID-19 pandemic that the world became familiar with such aspects of supply chain operations as logistics, inventory and supplier management, and procurement. The influence of supply chain leaders also has grown with the understanding of the importance of the supply chain in the global economy. Supply chain management is a complex field with many moving parts, and the need for accurate and reliable information is more crucial than ever. Industry leaders help facilitate discourse and spur innovation to shape the future of the supply chain. In this article, we highlight five of these supply chain leaders, showcasing their extensive expertise and experience in the industry and what they are planning for the future. Making Moves: Five Supply Chain Leaders on the State of the Industry 2024 has been an exciting year so far. The OSRA 2022 ruling went into effect to better regulate demurrage and detention charges; Chinese e-commerce businesses are heating up the airfreight industry; and in dire contrast, the U.S. trucking industry continues to struggle through a lengthened lean patch. In an increasingly volatile ecosystem, the industry…

Prospects of supply chain automation have the industry abuzz. It’s even become a major sticking point in the International Longshoremen’s Association contract negotiations with the United States Maritime Alliance. The dockworkers do not want ports to automate processes out of fear they will lose their jobs to machines. Today, there are seemingly endless possibilities for optimization. Terms like generative artificial intelligence and machine learning have become commonplace in discussions about ways to gain efficiencies and reduce costs. Can man and machine work together as businesses leverage automation for optimization? Beyond the Buzz: Understanding the Automation Imperative Machine learning, a subset of artificial intelligence (AI), is described by Business News Daily as a later-stage development in which machines take in data on their own and then analyze it. Automation, on the other hand, is fixed on repetitive tasks; after a job is performed, an automation system “thinks no further.” The Business News Daily article explained that “automation involves an entire category of technologies that provide activity or work without human involvement,” while AI involves “a machine exhibiting and practicing something similar to what we describe as human thinking – that is, the ability to interact in thousands of ways with the…