Mining and metals operations are particularly vulnerable to economic swings and the volatile nature of this ever changing complex industry. Among the many challenges are increasing investment, throughput and capacity in boom times while being prepared to improve efficiency and reduce costs during downturns.
This unpredictability has caused owners to find ways to adapt to changing market conditions and remain agile. Though this type of flexibility is important, companies must also make sure that their operations are safe, environmentally sound and compliant to government regulations – lack of which could result in not only harm, but fines and revocation of licenses as well.
Mining companies around the world are actively responding to these needs by integrating operations, optimizing performance and applying best practices in order to increase efficiency, lower costs, and reduce downtime while becoming more agile at every step – this is all possible with easy, at a glance access to real-time operations information from Sage Clarity.
Many companies still schedule their factories on a white board. Let’s explore the idea of closed loop planning and execution and see what you may be missing
Pharmaceutical manufacturers are under tremendous pressure to increase product volume in their own plants and improve margins. They must often achieve this higher volume with optimized resources — a challenging task without the help of real-time discovery analytics for operational excellence. They usually find that simple OEE tools are not adequate to drive improvement, and leading manufacturers, especially pharmaceutical companies, look to solutions that deliver facts, pervasive visibility, and maximum knowledge transfer, along with real data, actual root cause analytics, and a deep understanding of problems.
Because Mattel is an exceedingly seasonal business, as many as 80 percent of its products are modified annually. “We can’t just hope it all works out; we need a data-driven mentality that allows us to make better decisions and drive the right kind of improvement,” Gibbons says.
Shallow-dive analytics is a new approach to managing the enormity of big data and the resulting information overload via a one-click, quick review of only the information that is most pertinent to business objectives. By focusing on key performance indicators (KPIs), proponents believe that the shallow-dive concept can enhance supply chain performance through better and less-time-consuming data management.