Integrate: Deploy process mining across ore tracking systems, milling operations, flotation circuits, and chemical analysis systems to capture real-time insights on material processing efficiency.
Discover: Identify inefficiencies in ore blending, grinding, chemical reagent usage, and recovery processes that lead to yield losses or excessive material wastage.
Understand: Analyze sources of recovery losses, suboptimal reagent dosing, and process variability, linking them to incorrect feed ratios, equipment inefficiencies, or poor real-time adjustments.
Act: Implement AI-driven real-time process control adjustments, optimize grinding and flotation parameters, and reduce reagent overuse to improve recovery efficiency.
Monitor: Set up real-time dashboards tracking ore recovery rates, chemical consumption, and plant throughput efficiency for continuous process improvement.
Integrate: Connect process mining with IoT sensors, CMMS, and ERP asset management to track real-time equipment health, maintenance logs, and failure patterns.
Discover: Identify failure points, underperforming assets, and inefficient maintenance by analyzing breakdowns, backlogs, and repeated part replacements.
Understand: Investigate root causes like overuse, poor lubrication, and excessive wear. Assess links to operational patterns, environmental conditions, or maintenance strategies.
Act: Use AI for predictive maintenance, automated work order prioritization, and optimized spare parts management, ensuring just-in-time servicing.
Monitor: Track MTBF, MTTR, and TCO via real-time dashboards for continuous maintenance optimization.
Integrate: Deploy process mining across ERP, fleet management, and IoT sensors to create a real-time digital twin, ensuring visibility into drilling, haulage, processing, and shipments.
Discover: Detect bottlenecks like truck idle time, delayed blasting, and plant congestion. Analyze load balancing to optimize material flow.
Understand: Identify root causes of slowdowns, downtime, and excess handling, such as poor shift planning, inefficient routes, and stockpile mismanagement.
Act: Use AI for haulage optimization, automated dispatching, and predictive scheduling to improve efficiency and reduce waste.
Monitor: Track KPIs like extraction efficiency, cycle times, stockpile levels, and energy use via real-time dashboards for continuous optimization.
Integrate: Connected process mining with housekeeping management systems and IoT-enabled maintenance tracking. Smart sensors were deployed in rooms to detect occupancy status and maintenance needs, feeding real-time data into task scheduling systems.
Discover: Identified inefficiencies in housekeeping scheduling and frequent maintenance disruptions affecting room availability. Historical analysis revealed trends in unexpected maintenance issues, such as plumbing and HVAC failures, contributing to extended room downtime.
Understand: Analyzed root causes of service delays, such as poor task coordination and unexpected maintenance requests. Further analysis of workforce allocation identified opportunities to dynamically adjust cleaning schedules based on real-time room readiness.
Act: Implemented automated housekeeping task assignment and predictive maintenance alerts, ensuring rooms were serviced efficiently. Integrated an AI-driven prioritization model to dynamically allocate cleaning teams based on check-out times and upcoming arrivals.
Monitor: Used real-time dashboards to track housekeeping performance, maintenance logs, and turnaround times. Automated alerts notified managers of potential backlogs or delays, allowing for proactive workforce adjustments.
Connect the new product development process with the out-of-the-box connector for project management systems. Configure relevant KPIs, including time to market and number of successful product launches.
Process Mining identifies bottlenecks and inefficiencies in the product development cycle. Further analysis reveals specific stages, such as regulatory approval and market research, that cause delays.
Streamline the regulatory approval process, enhance market research through data analytics, and improve cross-departmental collaboration to speed up product development.
Monitor the metrics time to market and number of successful product launches to ensure continuous optimization of the product development process.
Connect the make-to-order production system with the out-of-the-box connector for manufacturing execution systems (MES). Configure relevant KPIs, including production lead time and on-time delivery rate.
Process Mining reveals bottlenecks in production and delays in material procurement. Further analysis identifies specific products and processes causing delays.
Streamline production scheduling, improve supplier coordination, and implement predictive maintenance to reduce downtime.
Monitor the metrics production lead time and on-time delivery rate to ensure continuous optimization of the production process.
Ready to unlock your business potential?
Enter your email below and we'll get back to you.
