Utilizing Analytics Can Create Efficiencies and Reduce Downtime
How the industry is harnessing technology and big data to keep fleets and landfill equipment up and running at optimal performance levels.
Two up-and-coming uses for technology and big data analytics in the waste and recycling industry work hand-in-hand to ensure fleets and other equipment are working properly based on insight from preceding data.
Predictive maintenance is using previous data to estimate the failure of a part or device. Preventive maintenance is the general upkeep of the device or equipment to allow for near optimal performance and to reduce other failures that can be exacerbated by not maintaining critical parts.
“Predictive maintenance refers to techniques used to determine the condition of trucks and equipment to predict when maintenance should be performed,” says David Biderman, executive director and CEO of the Solid Waste Association of North America (SWANA). “It differs from preventive maintenance because it relies on the actual condition of the equipment, not the average or expected life data, to determine when maintenance is required.”
The fleet maintenance entities of the waste and recycling industry use both preventive and predictive maintenance technology for collection vehicles and landfill equipment. Preventive maintenance also is common in processing facilities to maintain the equipment, including screens and conveyors that have multiple moving parts.
“A large processing system will have multiple full-time mechanics working on preventive maintenance during system downtime,” says Bradley Kelley, senior project engineer for Gershman, Brickner, & Bratton, Inc. (GBB). “Predictive maintenance is less common in the processing sector, as there is less data to utilize for predictions. Most system owners use recommendations from the equipment manufacturer for both preventive and predictive maintenance schedules, although predictive maintenance recommendations are frequently described by ‘as needed’ from these manufacturers.”
The McLean, Va.-based GBB is an international solid waste management consulting firm that helps public and private sector organizations craft practical, customized and technically sound solutions for complex solid waste management challenges. It identifies technology for process facility owners that could be utilized to improve efficiency in preventive maintenance work and to be able to record more data from the machines to be utilized in identifying predictive maintenance items.