Manufacturing Analysis
What is Manufacturing Analytics?
Manufacturing Analytics is the process of collecting, analyzing, and interpreting data from manufacturing operations to improve production efficiency, quality, and decision-making. At Insight Mantra, we use this approach to help businesses reduce waste, streamline operations, and improve productivity using data-driven insights.
We focus on four major types of analytics that serve different stages of your business decision-making:
Descriptive Analytics
This answers the question: “What happened?”
We look into your historical data, such as:
- Production volume by line, shift, or product type.
- Defect rates or rework rates over time.
- Downtime trends across machines or facilities.
Diagnostic Analytics
This goes deeper to ask: “Why did it happen?”
By examining causes behind the trends, we analyze:
- Root cause analysis of production delays or quality issues.
- Identify bottlenecks or inefficiencies in workflows.
- Impact of raw material quality or labor availability.
Predictive Analytics
What will happen next?
Using tools like Power BI, Excel and AI models
- Predict machine failure prediction using historical downtime data.
- Predict order fulfillment time based on current capacity.
- Demand forecasting to plan production schedules.
Prescriptive Analytics
What should you do about it?
This is where you get recommendations:
- Optimize production planning and shift allocation.
- Reduce scrap and overproduction through lean data models.
- Guide maintenance schedules to reduce unplanned downtimes.
What are the Benefits of Manufacturing Analytics?
- Reduce production delays and material wastage
- Maximize machine and labor utilization.
- Shorten production cycles with real-time alerts.
Improved Operational Efficiency
- Maintain optimal stock of raw materials and finished goods.
- Reduce holding costs by matching production to demand.
- Identify underutilized or overused assets.
Better Inventory & Resource Management
- Track and improve defect rates.
- Ensure compliance and traceability through batch monitoring.
- Reduce customer complaints through process standardization.
Higher Product Quality
Key Layers in Our Solution:
- Pulling data from ERP systems, sensors (IoT), Excel sheets, and manufacturing logs.
Data Collection Layer
- Removing duplicates, standardizing formats, and preparing usable datasets.
Data Cleaning & Processing Layer
- Using formulas, pivot tables, or Power BI visuals to generate insights.
Analytics Engine
- Dashboards, visual summaries, and secure online access via Power BI links.
Reporting & Sharing Layer
Want a hands-on example?
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