Optimizing Operations for a German-Based Manufacturing Company

Project category

Project Name :

Data Analysis Dashboard for Manufacturing company

Company :

Kraftwerk Industrial Systems GmbH

Client :

Germany

Duration :

3 months

Transform Your Manufacturing Operations with Real-Time Insights

Optimizing Operations for a German-Based Manufacturing Company

Project Overview

A leading Germany-based electronics manufacturer serving consumer, automotive, and industrial markets was experiencing rising production costs, elevated defect rates, fragmented order/stock processes, and sluggish revenue growth.

We deployed a centralized Manufacturing Operations Dashboard in Power BI to unify ERP/MES/QMS/WMS data, add near real-time monitoring, and drive cost, quality, and throughput improvements across plants and product lines.

Key KPI’s to Track

These KPIs provide a unified view of manufacturing performance across cost, quality, efficiency, inventory, workforce, reliability, sustainability, and financial governance. Together, they enable real-time visibility, faster root-cause analysis, and data-driven decision-making across plant-floor and executive teams.

Solution Offered — Manufacturing Operations Dashboard

A unified, KPI-driven analytics framework designed to connect shop-floor operations with financial, quality, supply chain, and sustainability performance. The solution transforms fragmented manufacturing data into real-time, decision-ready intelligence across plants, products, and processes.

Step 01

Unified Data Integration & Master Data Governance

  • Integrated ERP, MES/PLC, QMS, WMS, and supplier systems into a centralized SQL warehouse to enable cross-functional KPIs across cost, quality, inventory, labor, and fulfillment.
  • Standardized BOMs, SKUs, suppliers, routings, and costing structures to ensure a single source of truth for all operational, financial, and compliance reporting.
Data Quality & Modeling
Step 02

Cost, Quality & Reliability Intelligence Modeling

  • Built standard vs. actual costing, labor productivity, energy-per-unit, and maintenance cost models to track unit cost, variance, margin, and asset efficiency.
  • Applied SPC, FPY, defect PPM, MTBF, MTTR, and COQ frameworks to drive proactive quality control and equipment reliability.
Cost, Quality & Reliability Intelligence Modeling
Step 04

Production, Inventory & Supplier Optimization

  • Modeled demand forecasts, takt time, capacity utilization, safety stock, and reorder points to balance throughput, service levels, and working capital.
  • Embedded supplier OTIF, lead-time variability, inbound quality (supplier PPM), and purchase price variance to stabilize inbound supply and production flow.
Production, Inventory & Supplier Optimization
Step 05

Role-Based KPI Dashboards & Performance Views

  • Delivered Power BI dashboards for Executives, Plant Leaders, Quality, Supply Chain, Finance, and Maintenance with drill-down from network → plant → line → SKU → batch.
  • Visualized OEE, FPY, stockouts, OTIF, labor utilization, contribution margin, energy intensity, and carbon per unit for rapid root-cause analysis.
Role-Based KPI Dashboards & Performance Views

Key Features of the Dashboard

Built as a real-time command center, the dashboard blends line-level telemetry with financials so leaders can move from detection to action in minutes.

Cost Control Cockpit

Material/labor/overhead bridges, PPV, mix/yield effects, and margin by SKU/category.

Quality Intelligence

FPY trends, SPC charts, defect Pareto by line/shift/supplier, rework tracking, and COQ views.

Production Planning Board

Capacity vs. load, changeover windows, schedule adherence, and throughput heatmaps.

Inventory & Order Hub

Live stock, days of cover, reorder points, supplier lead-time reliability, backorder queue.

Revenue & Mix Lens

Contribution margin by product/market, slow/fast movers, and lifecycle tagging.

Business Benefits

The program reduced waste, elevated product quality, and tightened inventory control—improving profitability and customer experience end to end.

01

Reduced Manufacturing Costs

Lean interventions and variance visibility cut waste and improved resource allocation, lowering unit costs.

02

Higher Product Quality

Early defect detection and SPC-driven actions improved FPY, reduced scrap/rework, and strengthened brand trust.

03

Faster, Smoother Fulfillment

Reorder guidance and reliable schedules minimized stockouts/backorders and improved OTIF performance.

04

Revenue Growth Enablement

Clear contribution insights guided product mix, pricing, and market focus to unlock top-line growth.

05

Operational Transparency

A single source of truth aligned plants and leadership on priorities, actions, and outcomes.

Power BI Manufacturing Dashboard

Tech Stack Used

Designed for governed analytics, fast iteration, and broad adoption across plants.

Microsoft Power BI

Role-based interactive dashboards with drill-through analytics and automated subscriptions.

APIs & ETL Pipelines

Automated, scheduled data ingestion with validation, quality checks, and cataloging.

SQL Server Data Warehouse

Centralized, governed storage for ERP, MES, QMS, and WMS data with full auditability.

Results Achieved

With streamlined processes and data-led decisions, the manufacturer improved profitability, quality, and delivery performance.

Key Results:

15%

Decreased Manufacturing Costs

25%

Decreased Defect rate

20%

Increase in Revenue

30%

Decrease in Stockouts

The new Manufacturing Operations Dashboard now anchors daily huddles and weekly ops reviews—keeping costs in check, quality high, and orders flowing on time.