Streamlining Integration with Pack ML

Lack of standardization in packaging lines—and manufacturing as a whole—results in time-consuming and expensive integration processes during line upgrades. More integrated manufacturing systems using PackML are benefitting not only end users, but OEMs, integrators and technology providers.

Lack of standardization in packaging lines—and manufacturing as a whole—results in time-consuming and expensive integration processes during line upgrades. More integrated manufacturing systems using PackML are benefitting not only end users, but OEMs, integrators and technology providers.
Lack of standardization in packaging lines—and manufacturing as a whole—results in time-consuming and expensive integration processes during line upgrades. More integrated manufacturing systems using PackML are benefitting not only end users, but OEMs, integrators and technology providers.

In any manufacturing suite, people are looking for ways to optimize automation solutions. And when capital is spent on new equipment, manufacturers need the efficiency boost and improved functionality as soon as possible.

But this becomes complicated when a line includes solutions from many different vendors that use different technologies and languages. All too often, when new equipment arrives at the facility, the process of getting the line up and running is rocky and time-consuming.

Pamela Docherty, U.S. Life Sciences Industry Manager at Siemens, explains, “An optimized packaging line should include standard international tools, software packages that are common throughout the application, and spare parts that are common for consistent training and understanding by automation engineers, operators, and maintenance staff.”

The ultimate goal is for each OEM solution to have a common PLC, a common motion control, and an interface able to communicate with each machine as well as the existing infrastructure. Beyond the obvious benefits, this would address many lifetime costs: spare parts, training, and integration. “So how do we get to a solution like this? I want to make smarter decisions upfront so that when these OEMs arrive within my facility, I don’t have that additional work.”

International standards: PackML

As Docherty mentions, standard international tools are key to optimizing packaging lines across the industry and getting machines from different suppliers to work with each other. “We decided to create the organization, OMAC, to look at these kinds of [integration] problems,” says Bryan Griffen, Group Engineering Manager at Nestlé Corporate Engineering. One solution OMAC created was the packaging machine language, PackML. Griffen explains that the international, industry-wide standard grew out of the S88 standard for batch control from ISA. PackML does three things:

1. It provides a state model that every machine can follow. The 17-state state model defines the different states that a machine can be in. It provides a proper nomenclature for those states, and defines how to get into and out of the states, and what the states mean. “For example,” Griffen says, “it defines the difference between a held state, a suspend state, and an idle state.” In each of those states, nothing is moving through the equipment, but they mean different things. A held state means an internal problem is rendering the machine unable to run. A suspend state means another machine has a problem causing the machine to wait, while an idle state means that everything is ready to run, and the machine is waiting for the start command.

2. PackML provides a set of modes of operation. Modes of operation simply define what states are active in a particular situation. In automatic mode, all 17 states are likely active. However, in other modes, not all states may be active. “When I’m in jog mode, I don’t want the execute state (where everything happens in automatic) to be active. I want that cell to move only when I’m telling it to move for safety reasons.”

3. PackML also provides Pack Tags, packets of information that have been codified and set up so that they are consistent across the entire manufacturing process. For example, machine speed will always be a 32-bit floating point number in a tag called “current.machine.speed,” and its engineering units in primary packaged parts per minute. Pack Tags house many different kinds of information, including what state machines are in, details about recipe changes, running conditions, etc.

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