June 1, 2021
In recent years, a growing number of companies have begun to implement automated mobile robots (AMRs) into warehouses and distribution centers. Large spikes in demand have put massive pressure on the supply chain to react to a rapidly changing landscape. Self-driving vehicles have shown incredible results in safety, efficiency and flexibility. With supply chain robots on the rise, there are many questions about the best way to optimize use of this technology. What are the key applications of warehouse automation, and what innovations can be expected down the line?
Daniel Theobald, Founder and CIO of Vecna Robotics, tackles these topics and more in “4 ways to Unlock the True Potential of Warehouse Automation“.
“Artificial Intelligence (AI) is the key to unleashing automation’s full power for improved productivity and operational throughput, maximizing productivity in an unpredictable age” says Theobald.
Automation alone cannot solve all material handling challenges. Even with AGVs or AMRs, warehouses may still face bottlenecks that cause a ripple-effect downstream. Logistics managers can attempt to minimize this with workflow planning. Obtaining key data can help with decision planning to solve these problems, or even predict problems before they occur; This is where AI comes in.
In the years to come, the industry will focus on several opportunities. But Theobald predicts that the AI orchestration of automated assets will be the focus of innovation in supply chain technology. Vecna Robotics’ warehouse management system, Pivotal, is the world’s first multi-agent orchestration system. Pivotal is able to assign tasks to both humans and robots to maximize efficiency. In addition, it provides invaluable data insights to decision-makers in real time. These capabilities help companies maintain a competitive advantage and reap the benefits from their technology and human capital investments.
Theobald shares how orchestration can help improve productivity and efficiency in warehouse automation moving forward. An AI-powered platform can address cross-platform orchestration, synchronous simulation, predictive analytics, and continuous improvement.
“While much of this may seem futuristic now, it will be commonplace, and necessary, by 2030. More than providing the opportunity for massive efficiency gains, orchestration enables organizations within the supply chain to be robust and flexible to vulnerabilities, especially in a rapidly changing world,” says Theobald.
Read the article at Inbound Logistics.