Mario Rodriguez

Special Guest Blog Post written by Sofia Rivas Herrera   One of my greatest joys is travelling around the world; learning about other cultures, ways of living and traditions. I often say that “everything is supply chain”, and this topic is no exception. When we plan a trip, we first start by defining origin and destination followed by when we want to travel and how. Then we evaluate how much we want/can spend and identify our non-negotiables, which start reducing the horizon of combinations and options we have. Does this sound familiar? In my mind this is very similar to processes within planning, procurement, network optimization and supply chain strategy. Here are 5 questions travel-related that I loved to be asked to help prove my point of this connection with supply chain:   What is the best way to plan a trip?   Planning a trip is no different than planning a new distribution model or redesigning your network. This process can look a bit like this: Define your route; origin and destination Identify your constraints: budget, time available, level of convenience and comfort, Run your optimization scenarios From there, you identify available lanes, available modes of transport, and available…

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…