Delay In Production Analysis App

Delay in Production – Power BI App Overview

Delays in production can ripple across supply chains, leading to cost overruns and unsatisfied customers. The Delay in Production Dashboard provides operations and production leaders with critical insights into what’s slowing down deliveries, how often it's happening, and where interventions are needed most.

By uncovering time loss patterns and common delay reasons, this Power BI app enables continuous improvement, proactive scheduling, and increased reliability in production workflows.

🔧 Technical Framework

This dashboard uses a structured model named Production Info, designed to capture key data points on order delays.

Key Components:

Data Source: Excel file or system export detailing production order lifecycle and delay reasons.

Data Preparation: Performed in Power Query to:

Clean date and text fields

Calculate total delivery days and delay time

Bucket delays into 0–30, 30–60, 60–90, and 90+ days

Categorize delay causes (e.g., Labor Shortage, Weather, Raw Material)

Data Model Dimensions:

Order ID

Order Placement Date

Delivery Date

Target Days

Total Days to Delivery

Delay Time

Delivery Status

Reason for Delay

This setup supports flexible filtering, drill-down analysis, and integration with ERP or MES systems.

🎛️ Interactive Filters

The dashboard includes essential slicers for focused analysis:

Delivery Status Filter: Distinguish between delivered and undelivered orders.

Reason for Delay Filter: Focus on specific causes such as customs, labor, or supplier-related issues.

These controls help narrow investigations and drive targeted process improvements.

📊 Dashboard Report Highlights

a. KPI Tiles – Delivery Performance Overview

Avg. Total Days to Delivery – End-to-end order fulfillment duration

Avg. Delay Time – Average number of delayed days

b. Line Chart – Average Delay by Reason

Visualize which delay reasons contribute the most time loss

c. Combo Chart – Frequency vs Impact

Bar: Number of delayed orders by reason

Line: Total delay time across each reason

Identify which issues are both frequent and time-intensive

This dashboard drives smarter production planning and fosters a culture of accountability—allowing teams to minimize disruptions, set accurate expectations, and ensure on-time delivery through data-informed decisions.