{"id":24460,"date":"2026-02-11T19:16:26","date_gmt":"2026-02-11T11:16:26","guid":{"rendered":"https:\/\/unison.ycp.com\/?post_type=articles&p=24460"},"modified":"2026-02-11T19:18:46","modified_gmt":"2026-02-11T11:18:46","slug":"optimize-vehicle-usage-with-analytics-for-cycle-time-management","status":"publish","type":"articles","link":"https:\/\/stg.unison.ycp.com\/insights\/articles\/optimize-vehicle-usage-with-analytics-for-cycle-time-management","title":{"rendered":"Optimize Vehicle Usage with Analytics for Cycle Time Management"},"content":{"rendered":"

By analyzing run scenarios to improve the efficiency of load and haul routes or calculating truck haul and return cycle times, companies can\u00a0benefit\u00a0from reduced unit costs and savings from\u00a0reduced\u00a0diesel and tire usage.\u00a0\u00a0\u00a0<\/span>\u00a0<\/span><\/p>\n

However, vast amounts of data generated by today\u2019s mining equipment through sensors and AI mean that\u00a0leveraging\u00a0equipment and vehicle data\u00a0effectively can\u00a0be\u00a0an initial\u00a0challenge. Beyond collecting data, the ability to analyze it to guide strategic decision-making will\u00a0ultimately be\u00a0what\u00a0sets\u00a0mining companies apart from competitors.\u00a0<\/span>\u00a0<\/span><\/p>\n

Challenges with Leveraging Data Analytics for Load and Haul Cost-Effectiveness\u00a0\u00a0<\/span>\u00a0<\/span><\/h2>\n

Deploying more sensor-equipped vehicles and machinery and\u00a0leveraging\u00a0AI may initially pose these challenges in effectively\u00a0utilizing\u00a0data.\u00a0\u00a0<\/span>\u00a0<\/span><\/p>\n

    \n
  1. \n

    Data Aggregation and Reliability for a Bird\u2019s Eye View\u00a0<\/span><\/h3>\n<\/li>\n<\/ol>\n

    Mining machinery by various brands may have inherent biases in the data recorded or shared. For example, while it is still possible for various tire monitoring systems to exchange data with other brands\u2019 systems, each is designed to prioritize its own equipment. This hinders mining operators from getting a full,\u00a0accurate\u00a0overview of the performance of machinery across various brands used by a mine.\u00a0\u00a0<\/span>\u00a0<\/span><\/p>\n

    By\u00a0consolidating\u00a0diesel and tire usage data into a single dashboard, mining teams can better understand and interpret data,\u00a0facilitating\u00a0management\u2019s\u00a0decision-making. A bird\u2019s eye view will enable better understanding of data collected by the variety of fleet machines and tires used by\u00a0different brands\u00a0by a mine, allowing improved energy and cost saving efforts.\u00a0\u00a0<\/span>\u00a0<\/span><\/p>\n

      \n
    1. \n

      Data Security, Infrastructure and Management\u00a0<\/span><\/h3>\n<\/li>\n<\/ol>\n

      The security of a mine\u2019s data infrastructure is paramount to smooth mining operations. Security threats such as ransomware and targeted hacking attacks by organized criminals can be extremely costly when they lead to false tire pressure readings, suspended\u00a0operations\u00a0and indefinite\u00a0mine\u00a0downtime. As such, the focus of mining companies cannot be placed purely on how data is collected, but how it is stored,\u00a0organized\u00a0and shared for efficient retrieval and analysis.\u00a0\u00a0<\/span>\u00a0<\/span><\/p>\n

        \n
      1. \n

        Data Interpretation, Analysis and Strategic Decision-Making\u00a0\u00a0<\/span><\/h3>\n<\/li>\n<\/ol>\n

        Despite\u00a0large amounts\u00a0of data available by collection through vehicle and tire sensors, making connections between information can still be a challenge. For instance, by running scenario analysis, operators may discover that one load and haul route\u00a0consumes\u00a0more diesel or leads to more tire wear over time.\u00a0\u00a0<\/span>\u00a0<\/span><\/p>\n

        However, it may take many hours of machinery\u00a0use\u00a0before patterns\u00a0emerge, such as the duration between a tire cut and the failure of a tire or vehicle. Finally, once patterns such as return cycle times, bucket fill factor and diesel usage are detected, thorough analysis still needs to be conducted by mining teams to effectively\u00a0leverage\u00a0this information for greater savings.\u00a0\u00a0<\/span>\u00a0<\/span><\/p>\n

        Leverage Data More Effectively by Asking the Right Questions\u00a0\u00a0<\/span>\u00a0<\/span><\/h2>\n

        With evolving mining regulations in Indonesia,\u00a0optimizing\u00a0diesel and tire usage through data analytics is an opportunity companies can begin to\u00a0leverage. By asking critical questions on how to enhance a mine\u2019s operational excellence, significant cost savings can be\u00a0unlocked\u00a0and new policies affecting your mine\u2019s operating expenditure can be better managed.\u00a0\u00a0<\/span>\u00a0<\/span><\/p>\n

          \n
        • Are your data analytics efforts for your mine aligned with your budget?\u00a0\u00a0<\/span>\u00a0<\/span><\/li>\n<\/ul>\n
            \n
          • Are your employees onboard with\u00a0new technology\u00a0and effectively\u00a0utilizing\u00a0data?\u00a0\u00a0<\/span>\u00a0<\/span><\/li>\n<\/ul>\n
              \n
            • Is your data infrastructure secured against cybersecurity threats?\u00a0\u00a0<\/span>\u00a0<\/span><\/li>\n<\/ul>\n

              YCP Unison\u2019s team can work with you to ensure your data analytics and cost savings initiatives are aligned with your budget and achieve full employee buy-in for sustainable change.<\/span>\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

              By analyzing run scenarios to improve the efficiency of load and haul routes or calculating truck haul and return cycle times, companies can\u00a0benefit\u00a0from reduced unit costs and savings from\u00a0reduced\u00a0diesel and tire usage.\u00a0\u00a0\u00a0\u00a0 However, vast amounts of data generated by today\u2019s mining equipment through sensors and AI mean that\u00a0leveraging\u00a0equipment and vehicle data\u00a0effectively can\u00a0be\u00a0an initial\u00a0challenge. Beyond collecting […]<\/p>\n","protected":false},"author":22,"featured_media":23612,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[],"tags":[],"class_list":["post-24460","articles","type-articles","status-publish","format-standard","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"\nOptimize Vehicle Usage with Analytics for Cycle Time Management | YCP Unison<\/title>\n<meta name=\"description\" content=\"Aggregate data collected from equipment and vehicles effectively to be leveraged for improved mine performance and cycle time management.\" \/>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Optimize Vehicle Usage with Analytics for Cycle Time 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