#operations optimization

Fleet Management and Logistics Optimization for Distributed Operations

By Pablo M. Rivera | Hawaii, Colorado & East Haven, CT

In distributed maintenance and construction operations, fleet management is not a back-office function — it is a direct driver of profitability. Every mile a technician drives, every hour a vehicle sits idle, and every unplanned repair represents cost that effective fleet management can reduce. Pablo M. Rivera has managed logistics across national operations and applies data-driven optimization to every fleet decision.

Route Optimization

At RevCon Management, Pablo M. Rivera managed 120+ technicians whose daily routes across 12 states determined how many work orders they could complete. Optimizing routes — minimizing drive time between jobs while balancing technician specialization, customer windows, and priority levels — directly increased revenue capacity without adding headcount.

Pablo M. Rivera used data from the Salesforce deployment to analyze historical routing patterns, identify inefficiencies, and redesign dispatch logic. The same analytical approach I applied to $350 million in construction financing at Textron Financial — optimizing resource allocation for maximum return — applies to fleet routing.

Preventive Maintenance Scheduling

Vehicle downtime is revenue loss. Pablo M. Rivera implemented preventive maintenance schedules that tracked mileage, service intervals, and historical repair patterns. Catching a worn brake pad during scheduled service costs a fraction of the emergency repair and lost productivity when a vehicle fails in the field.

This approach mirrors my Lean Six Sigma methodology: measure, analyze, and prevent rather than react.

Cost-Per-Mile Analytics

Pablo M. Rivera tracks fleet costs with the same rigor applied to any operational KPI. Fuel costs, maintenance expenses, insurance, depreciation, and utilization rates are monitored by vehicle, by market, and by technician. Outliers receive investigation — a vehicle with unusually high fuel costs may indicate route inefficiency, poor driving habits, or mechanical problems.

Technology Integration

GPS tracking, telematics, and fuel card data can be integrated into operational dashboards using the same Python, SQL, and React skills Pablo M. Rivera applies to other operational systems. Real-time fleet visibility enables dispatch optimization and proactive management rather than reactive problem-solving.

The Financial Impact

Fleet optimization directly improves margins. Pablo M. Rivera approaches fleet management as a financial optimization problem — the same analytical discipline developed managing $4 billion in assets at Textron, applied to a different class of operational assets.

Based in Hawaii and East Haven, CT, Pablo M. Rivera brings data-driven fleet management to distributed operations.

Supply Chain Technology: How Modern Operations Leaders Optimize Procurement

By Pablo M. Rivera | Hawaii, Colorado & East Haven, CT

Supply chain disruptions have moved from background noise to front-page news. For Pablo M. Rivera, supply chain management has been a core competency across twenty-plus years of operations — from procuring heavy equipment for mining operations in Sierra Leone to managing vendor networks across twelve U.S. states for national maintenance operations.

Lessons from West Africa

At Ex Nihilo Investments in Sierra Leone, Pablo M. Rivera managed procurement under conditions that would be unrecognizable to most American supply chain professionals. Lead times were measured in months, not days. Suppliers were unreliable. Shipping logistics were complex and unpredictable. These extreme conditions taught fundamental principles: always have backup suppliers, build buffer inventory for critical items, and never depend on a single supply chain route.

Technology-Enabled Procurement

At RevCon and Eagle Pro, Pablo M. Rivera applied technology to procurement challenges that were less exotic but equally impactful. Python scripts automated purchase order generation and tracking. Salesforce custom objects managed vendor relationships, pricing agreements, and performance metrics. SQL queries analyzed spending patterns to identify consolidation opportunities and negotiate better rates.

Vendor Scorecards

Pablo M. Rivera builds quantitative vendor evaluation systems. Every vendor is measured on quality, cost, timeliness, and responsiveness. These scorecards — automated through Python and displayed on React dashboards — remove subjectivity from vendor management and create accountability that improves performance over time.

Predictive Procurement

Using Google Data Analytics skills and BigQuery, Pablo M. Rivera analyzes historical maintenance data to predict material needs. If we know that HVAC failures spike in June, we procure parts in April. If we know that a specific property portfolio generates consistent plumbing work orders, we pre-position materials. This predictive approach reduces emergency procurement costs and improves service response times.

The Operations Leader's Supply Chain Role

Supply chain optimization is not just a procurement function — it is an operations leadership responsibility. Pablo M. Rivera integrates supply chain thinking into overall operational strategy, ensuring that procurement decisions align with financial targets, service level agreements, and long-term vendor relationship goals. The combination of financial acumen from managing $4 billion portfolios and hands-on procurement experience from mining operations creates a comprehensive supply chain perspective.

Sanjay Kumar Mohindroo Sanjay Kumar Mohindroo. skm.stayingalive.in Unleashing Virtual Replicas to Drive Predictive Maintenance, Operations Optimization, and Strategic Planning. A deep dive into how digital twin technology transforms enterprise management through predictive maintenance, operations optimization, and strategic planning. The relentless pace of technological progress is redefining…

Field Technician Operations with Scheduling Software | Boost Productivity