Asset Performance Management software must evolve into knowledge hubs that not only deal with monitoring, but also gathering data from other dependent systems to provide much deeper insights and greater control.
New technologies and processes must have a demonstrable impact on a company's bottom line to make a convincing argument for adoption. In that spirit, here are seven recent manufacturing process improvements and how they affect profits.
The need to incorporate advanced maintenance programs increases as companies target safe and efficient manufacturing environments. But does a sophisticated maintenance program provide assurances that it will be foolproof?
AI in Manufacturing will help companies achieve higher productivity and cost effectiveness over a period. One of the major applications where AI is deployed in the manufacturing plants is Asset maintenance.
Preventative maintenance is a comprehensive and facility wide program that ensures that you're protecting your investment dollars and supporting the bottom line of your facility, including ensuring the health and well-being of all associates working on the production line.
AI-guided selling enables analytics to move from descriptive to predictive and prescriptive analytics. The process uses customer and sales data for a scientific, data-driven approach to understand buyer processes and behaviors.
Sometimes the most difficult thing about AI is simply knowing where to start. Identifying potentially impactful use cases is one of the most cited roadblocks for organizations seeking to leverage AI in their business.
By continually monitoring the condition of your equipment's most critical mechanical and electrical components, failures can be avoided with predictive maintenance carried out during scheduled downtimes, resulting in continual operations.
Autonomous Maintenance is one of eight pillars that make up Total Productive Maintenance (TPM). It's also one of the most important activities that eventually determine the success of any TPM implementation project.
With wood being one of the few renewable resources, its use continues to grow. But the automation of processing the raw material comes with its own challenges. By their very nature, wooden logs are inconsistent in size and density.
Among the wealth of use cases for AI & ML in manufacturing, one rises above the rest in terms of feasibility and impact - predictive maintenance. Predictive maintenance addresses the age-old challenge of ensuring maximum availability of critical manufacturing systems.
Performance Solutions by Milliken is a dedicated consulting and training group that helps guide businesses toward success. From supply chain, to operations and safety, we're dedicated to developing sustainable results for our clients through the implementation of a holistic operating system. We believe engaging all associates in the process will systematically transform your company to create efficiency, uncover hidden capacity, and generate long-term gains. Are you ready to reinvent your operations and transform your organization? Let's get started.