This Week in Supply Chain Now: May 18th – 22nd

Lean manufacturing is all about reducing waste and increasing efficiency. Manufacturers have been implementing lean practices for decades and have stood the test of time. Now, with technological advancements, lean methodologies can be more transformative than ever before. “Integrating automation into lean manufacturing is a powerful strategy. Unlike traditional automation, which often aims to increase production capacity without considering real needs, lean automation focuses on the smart and selective application of technologies to meet specific continuous improvement goals and eliminate inefficiencies,” the Kaizen Institute said. “Digital transformation provides an unprecedented opportunity for implementing lean,” it continued. “When applied within lean, tools like the Internet of Things (IoT), artificial intelligence (AI), and data analytics can revolutionize how organizations detect and eliminate waste.” What is Lean Manufacturing? In “The Machine That Changed The World,” published in 1990, lean production is hailed as “Toyota’s secret weapon in the global car wars.” The Toyota Production System was developed following World War II from “a series of simple innovations … to provide both continuity in process flow and a wide variety in product offerings,” according to the Lean Enterprise Institute. In “Lean Thinking,” a 1996 follow-up to “The Machine That Changed The World,” authors James…

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…