He explained that this means manufacturers have to better understand what the demand is, what the transportation is going to look like, and to be more precise with their planning. They need to be more “acurate and predictive in the cycle times of the specific items they need to make and understand how changeover mixes in and what the likelihood of downtime and failures are. This means a lot more granularity in [manufacturing] detail needs to be added, as well as more flexibility in batching systems and packaging lines to convert from one SKU to another. We see this happening in minor doses now, but we expect to see this more holistically across the board.”
To address this with automation technologies, Ruth noted that one of the most important things is having bi-directional data flow from the ERP (enterprise resources planning) system to the manufacturing systems. “Oftentimes a supply chain or ERP system pushes information down to the plant, but it doesn't receive a lot of information back. This allows operations to execute against the ERP but doesn't do a lot to improve the status of the information or understanding of people using the system to really know how things are progressing and make better decisions in real time. There's certainly detailed information that doesn't belong in the ERP, like the pressure of a certain vessel at a certain time, but there’s a lot of missed opportunity by not automating the collection back or not having any or very little production information.”
Another key consideration Ruth mentioned is data integration. Though this may seem obvious amid the current interest in industrial data analytics, Ruth said it's important to make sure that those manufacturing data sets are able to be combined with other business information for analysis. “This means making sure that data structures and definitions are readily combinable with your existing data sets. So a lot of the key indexes around how to associate things has to be a consideration from an ERP and manufacturing execution standpoint.”
Explaining how this can or should affect decisions around production automation technologies, such as controllers, HMI, and SCADA systems, Ruth said he subscribes to Ashby's Law of Requisite Variety. This law states that “in any given physical system, the part of the system with the greatest flexibility will control the system. That concept should be applied in all supply chains (and associated production systems) to the point that is realistic. But it's not going to be in the normal scope of a capital project approach. In many cases, it's going to require really looking at your approach to automation at a fundamental level, and measuring that across multiple projects to show improvement in value. The winning manufacturers will boost their adaptability with automation information and data analysis.”
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For manufacturers to successfully achieve this on an ongoing basis, Ruth says companies will likely benefit by leveraging the expertise of a partner they can rely on to “examine the options, recommend a path, and work with their technologies. This is important because it's not going to be a one shot fits all kind of integration. It’s going to require a bit of evolving back and forth as things change to manage the change that's coming.”
Ruth cautioned that, even with this approach, it’s not a good idea to apply too much change too quickly. The rate of change has to be something you're comfortable with while maintaining a “deep bench of options” for support. This will be necessary because continuously confronting coming changes means you’ll need to be able to “touch and tweak things often to live in this new normal, because I think we're walking into something we haven't seen before. And we're not completely prepared to abandon the old ways of how we did things. And that change will be a challenge.”
