Quais são as métricas de logística de distribuição mais eficazes para acompanhar o desempenho na entrega no prazo?

Several key metrics can help assess and improve on-time delivery performance- 1. On-Time Delivery (OTD)% 2. Order Cycle Time 3. Fill Rate 4. Perfect Order Rate 5. Dock-to-Dock Cycle Time 6. Carrier Performance Metrics 7. Lead Time Accuracy 8. Late Shipment Rate 9. Warehouse Turnaround Time 10. Backorder Rate 11. Inventory Accuracy Monitoring and analyzing these metrics regularly can help identify areas for improvement in distribution logistics, contributing to better on-time delivery performance. Additionally, these metrics can provide valuable insights into the overall efficiency of the supply chain.

The most important KPI will depend on the corporate objectives sought to improve. All indicators are relevant, but must be prioritized according to strategic need. In my experience at global companies, I frequently had to balance meeting delivery time versus consolidating more cargo for greater efficiency. For oversized products like rebars or wire that cannot be consolidated, sometimes dedicated transport was required to meet OTD, even if it increased costs. The customer only saw the OTD indicator, not the shipment efficiency. It was necessary to analyze case-by-case the trade-off between customer service and operational costs. A good logistics leader knows how to balance multiple indicators according to the organization's goals.

To gauge on-time delivery performance effectively, focus on key distribution logistics metrics such as On-Time Delivery (OTD) Percentage, Delivery Time Variability, Fill Rate, Order Accuracy, and Perfect Order Rate. Tracking these metrics provides insights into the efficiency and reliability of your distribution network, enabling timely adjustments and improvements for enhanced customer satisfaction.

On time delivery is definitely an important one however, the KPI's would depend on what the company is trying to achieve at that moment in time. ex I don't think a customer would be as mad about a late delivery for a load of "corrugated cardboard" as they would a load of auto parts that are needed at delivery the next morning. Maybe for the load of garbage the shipper is expecting an influx of waste to come in and they don't really care about on time delivery but ABSOLUTELY need on time pickup to make sure the they have ample space. In that such a case, LEAD TIME would probably be more important indicator to look at than on time delivery. That is just one situation, the situation and KPI changes depending on the need.

Certainly! "Key distribution logistics metrics, like OTD, ATD, VTD, OTP, PPT, DER, TE, TT, RDR, PPT, LTP, and IAS, directly impact delivery reliability, efficiency, and customer satisfaction. Analyzing these metrics ensures optimized operations for consistent, efficient, and timely deliveries, fostering customer loyalty and boosting market competitiveness."

Key distribution logistics metrics to track on-time delivery performance include On-Time Delivery (OTD), which measures the percentage of deliveries made on schedule, Transit Time Variability, assessing the consistency of delivery times, Order-to-Delivery Time, indicating the speed from order placement to receipt, Fill Rate, measuring the percentage of customer demand met from available inventory, and Perfect Order Rate, reflecting the accuracy and completeness of delivered orders. Monitoring these metrics allows for a comprehensive evaluation of distribution efficiency and helps identify areas for improvement in the supply chain.

Effective distribution logistics metrics for on-time delivery include OTDR, Delivery Time Variability, Perfect Order Rate, and Order Cycle Time. Tracking metrics like Late Shipment Frequency, Carrier Performance, and Customer Satisfaction Index provides insights. For instance, a company improved customer satisfaction by enhancing OTDR through better route planning and efficient order processing, showcasing the impact of optimized distribution logistics on reliability and loyalty.

The Customer Satisfaction Score (CSAT) is a crucial metric reflecting customers' average ratings of their delivery experiences. It gauges satisfaction with distribution logistics, indicating how well expectations are met. High CSAT implies excellent service, value, and customer loyalty. Conversely, a low score signals dissatisfaction. Improving CSAT involves actively seeking and addressing customer feedback, providing flexible delivery options, and promptly resolving issues. This metric serves as a valuable indicator of overall customer contentment and the effectiveness of your distribution logistics in meeting customer expectations.

Customer on-time delivery tracking is important but few points we should also consider 1. Customer order received to Invoice time 2. Invoice to goods movement 3. Distribution model, visibility, and tractability 4. How you decide delivery time- consider the type, weight and dimension of cargo I feel these are few parameter help in achieving sustainability and customer delight

More to consider : - Inventory Turn Over: to evaluate how quickly inventory is being utilized - Transportation cost - Return rate - Lead time

To understand this in depth, it’s important firstly to understand client requirements and devise a backcasting technique. This would help in creating a process in advance with respect to client requirements. Along with this a standard process across the stakeholders would create a sense of responsibility to deliver as per client requirements.

For tracking on-time delivery performance, key distribution logistics metrics include: 1. On-Time Delivery (OTD): Measures the percentage of orders delivered on or before the scheduled delivery date. 2. Delivery Time Accuracy: Evaluates the precision of delivery time estimates compared to actual delivery times. 3. Fill Rate: Examines the ratio of orders delivered in full without partial shipments or backorders. 4. Order Cycle Time: Measures the time taken from order placement to delivery completion. 5. Perfect Order Rate: Gauges the percentage of orders delivered without errors or defects. These metrics collectively provide a comprehensive view of a distribution network's efficiency and reliability in meeting delivery commitments.