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Penn Waste Debuts Upgraded MRF

NRT optical sorters and Max-AI™ technology boost throughput, quality, and recovery

 

York, PA – November 1, 2017 – – Penn Waste is all systems go after adding new optical sorting and artificial intelligence (AI) technologies to the company’s state-of-the-art Single Stream Materials Recovery Facility (MRF) in York, Pennsylvania. Provided by Bulk Handling Systems (BHS), the upgrade boosts the facility’s capacity by almost 30% from 35 to 45 tons per hour (tph), while at the same time increasing recovery, improving product quality, and reducing labor costs. This comes on the heels of Penn Waste’s addition of a Nihot SDS 800i drum separator earlier in the year to increase their capacity to purify glass.

Max-AI AQC at Penn Waste MRF

Ongoing shifts in the material stream and increasing pressure from export markets for improved product quality has many recycling facilities scrambling for ways to increase end-product purity while still maintaining acceptable financial results. After seeing other processors adding labor and slowing down their lines to try to address the problem, Penn Waste president and owner, Scott Wagner, made the proactive decision to further invest in the facility to stay ahead of the competition. The $3.5 million investment includes three new NRT optical sorters and a Max-AI™ Autonomous Quality Control (AQC) unit. The Max-AI AQC employs a neural network-based AI to identify materials in a similar way to a person. Rather than using deterministic sensors, Max relies on its vision system and probabilistic decision making to provide robotic quality control for the plant’s PET containers.

To enhance container quality and improve fiber recovery, a new NRT SpydIR® optical sorter removes small cardboard boxes from the container line. The plant’s HDPE sorter was replaced by a new, larger NRT SpydIR, which is followed by a new NRT ColorPlus that sorts the HDPE by color.  A new eddy current separator increases UBC recovery. At the end of the line, the SpydIR® that had previously recovered HDPE was combined with an integrated MetalDirector™ that boosts the plant capture rate by recovering the last few plastic and metal containers that were missed by the main sorting process.

Staffing a MRF can be a significant challenge for operators due to a number of factors, including safety, high turnover rates and a difficult labor market. The additional technology has not only increased Penn Waste’s throughput and product quality, but has also significantly reduced the plant’s headcount.

“While others are slowly adapting to the new reality, our system is running more material than ever,” said Penn Waste Director of Recycling Operations Tim Horkay. “This upgrade was accomplished in just nine days and thanks to our partnership with BHS, we did not have to divert even a single load of material. The new container logic allows us to react to our new container-rich waste stream and capture more materials at higher levels of quality – with fewer sorters. Commercial recycling isn’t easy right now, but thanks to this system and its upgrades, we are out in front and in a position to take on more material,” Horkay concluded.

“This investment in new technology is a testament to the ownership and management of Penn Waste and their commitment to their customers and employees,” said BHS CEO Steve Miller. “Completing a project like this in such a short timeframe was a challenge we did not take lightly, and our teams really stepped up and delivered. BHS is honored to have this ongoing and very successful partnership with such an excellent company.”

Deliverable Benefit

Thanks to software updates and an intelligent neural network that adapts to ongoing changes in the variables it sees, Max delivers a long-term, “future-proof” solution to quality control and manual tasks.

Our Promise

Through reliable, cutting-edge technology, Max improves MRF productivity, reduces overhead and produces higher profits.

Expansion Capabilities

The ability to integrate Max throughout your waste processing system opens the potential to create an overarching brain capable of expanding labor-free automation and optimization.

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