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| ABB |
Addressing Fragmented Data in Mining Operations
The mining industry continues to struggle with fragmented data across the mine-to-market value chain. While individual systems may operate efficiently in isolation, the lack of integration between planning, execution, and reporting systems leads to inefficiencies that negatively impact profitability. Despite the industry's push towards digital transformation, a substantial portion of mining personnel still rely on paper-based administrative tasks and manual spreadsheet management, underscoring the need for a more integrated approach.
To combat these challenges, ABB has introduced the latest version of its ABB Ability™ Operations Management System (OMS) for mining. This system consolidates data across the entire mining operation, from the mine face to enterprise-level reporting, effectively eliminating the silos that hinder operational efficiency. A report by McKinsey & Company highlights that optimizing the mine-to-market value chain presents a significant, yet largely untapped, opportunity for value creation. ABB's OMS directly addresses this issue by creating an integrated platform that bridges the gap between planning and execution.
Data fragmentation in mining operations can have costly consequences. A prime example is the cumbersome end-of-month reporting process, where teams spend excessive time gathering and verifying data from multiple sources. Moreover, in high-stakes scenarios like equipment failures underground, the absence of real-time data can lead to significant production delays. When a loader breaks down 200 meters below the surface, operators must rely on fragmented sources, such as radio calls and shift schedules, to make critical decisions. These inefficiencies not only slow down operations but also directly impact production targets and revenue.
A Smarter Approach with ABB’s OMS
ABB's OMS introduces Short Interval Control (SIC), an intelligent feature that enables real-time decision-making. When equipment malfunctions occur, the system automatically analyzes operational data and recommends optimal resource reallocation strategies. According to ABB, this automation can reduce decision-making time by approximately 33 minutes per 12-hour shift, translating into an additional four hours of production per week. This capability allows mining operations to transition from traditional siloed management to a dynamic and responsive model.
One real-world example of integrated operational management is Gold Fields' Granny Smith Mine, located 740 km northeast of Perth, Australia. Prior to implementing ABB’s OMS, the mine relied on radio communications and paper schedules, requiring excessive time buffers for personnel and equipment movement underground. The shift to a fully digitalized scheduling system has drastically improved efficiency.
By connecting all fixed and mobile equipment, Gold Fields achieved new levels of production scheduling efficiency. Operators now receive real-time work orders via rugged HMI devices, allowing them to report task completion or interruptions instantly. This digital transformation has been particularly beneficial in underground environments where oversight was traditionally limited.
The success of any operational system depends on user adoption. ABB has refined the OMS interface through extensive feedback from mining professionals worldwide. The inclusion of self-service dashboards provides operators with quick access to crucial data, reducing implementation time and costs.
Beyond operational efficiency, ABB's OMS also supports sustainability goals. As mining companies strive to meet ESG (Environmental, Social, and Governance) targets, integrated operational systems help manage electrification projects and monitor environmental impact. At Granny Smith, digitalized equipment movement and maintenance have contributed to a reduced carbon footprint, demonstrating how technological advancements can align with both productivity and sustainability objectives.
The mining industry's transition from disconnected operations to fully integrated systems marks a transformative shift. As seen in Gold Fields’ adoption of ABB’s OMS, leveraging intelligent data management not only enhances operational efficiency but also improves safety and environmental responsibility. For an industry long plagued by data fragmentation, these advancements signify a new era where mines operate more seamlessly, communicate effectively, and achieve greater success in an increasingly complex global landscape.
