This Week on Supply Chain Now- July 11th-17th

The resiliency of the supply chain has been tested time and time again — strained by weather-related events like hurricanes, global crises such as COVID-19, disasters like the Francis Scott Key Bridge collapse, and security breaches from cyberattacks. Supply chain resilience will continue to be tested. In fact, a major supply chain crisis could be just days away as the International Longshoremen’s Association (ILA) could stage a strike at ports all along the East and Gulf coasts of the United States as soon as Oct. 1. Beyond the Buzz: What is Supply Chain Resilience? “Supply chain resilience refers to the ability of a supply chain to prepare for unexpected events, adapt to disruptions, and recover quickly to restore its normal service levels,” Inbound Logistics said. “It’s not merely about preventing disruptions but being able to turn challenges into opportunities for growth and improvement.” Supply Chain Dive said because of events like COVID-19, the Panama drought, and Houthi attacks in the Red Sea, supply chain disruptions have become “part of the public’s consciousness and everyday nomenclature.” “The risk in our global economy is that supply chain disruptions are guaranteed to continue, but no forecast exists to tell us when or how…

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…