AI cuts shop‑floor waste
- Manufacturers are adopting cobots, AMRs and dynamic AI scheduling to cut downtime and handoffs. - Reports cite specific wastes like welder walk‑time, which can be roughly 20% of productive time. - Combining MES, IIoT and AI scheduling aims to raise OEE and reduce those walk and wait losses (x.com) (x.com).
Factory managers are using artificial intelligence to cut a basic source of waste: workers and parts spending too much time walking, waiting and handing work off. (deloitte.com) On a shop floor, a collaborative robot is a machine designed to work beside a person, and an autonomous mobile robot is a cart that drives itself to move parts between stations. The International Federation of Robotics said cobots accounted for 10.5% of industrial robots installed worldwide in 2023, while Rockwell Automation says manufacturers are using AMRs to handle factory logistics and material flow. (ifr.org) (rockwellautomation.com) The software layer tying that together is usually a manufacturing execution system, or MES, which tracks and controls production from raw material to finished goods in real time. Siemens and SAP describe MES as the system between planning software and plant controls that gives supervisors live data on machines, materials and work in progress. (siemens.com) (sap.com) Manufacturers measure the payoff with overall equipment effectiveness, or OEE, a score built from availability, performance and quality. Siemens says OEE is used to spot downtime, slow cycles and defects, and Vorne’s OEE guide says those three losses are the core of the metric. (siemens.com) (oee.com) The push has accelerated in the past year. Deloitte’s 2025 survey of 600 executives at large manufacturers found 80% planned to put at least one-fifth of their improvement budgets into smart manufacturing, and Rockwell said 95% of manufacturers have invested in or plan to invest in artificial intelligence or machine learning over the next five years. (deloitte.com) (rockwellautomation.com) The target is not only machine downtime. Rockwell says material handling can account for up to 25% of manufacturing labor costs and 15% of overall manufacturing costs, which is why companies are automating the movement of parts as well as the work on them. (rockwellautomation.com) Artificial intelligence scheduling is the other piece. McKinsey says scheduling tools can weigh many variables at once to maximize throughput, reduce changeovers and improve on-time delivery, replacing rules of thumb that often leave hidden losses on the floor. (mckinsey.com 1) (mckinsey.com 2) Consultants and vendors say the same pattern keeps showing up: the waste is often in the gaps between stations, not only at the station itself. Deloitte says smart manufacturing projects are now centered on connected data, automation and risk management, while Rockwell says companies are using flexible, AI-driven material handling to reduce bottlenecks caused by labor shortages and changing demand. (deloitte.com) (rockwellautomation.com) That makes the current factory buildout less about a single robot arm and more about orchestration. The plants getting attention are linking MES, Industrial Internet of Things sensors, mobile robots and scheduling software so fewer minutes disappear into walking, waiting and rework. (mckinsey.com) (rockwellautomation.com)
