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Manufacturing Process Internship
Inefficiency IdentificationStatistical Analysis
Context: B.Sc. internship at Quality Pressings Company, Pithampur (M.P.) – observed end‑to‑end manufacturing of iron frames and rods.
Challenge: Production data was manually recorded with no structured analysis. Needed to identify process inefficiencies, quality deviations, and opportunities for improvement.
Solution: Conducted a comprehensive statistical analysis:
- Manual data collection – output, defects, and process variations across production cycles
- Exploratory Data Analysis (EDA) – summary statistics, distribution analysis, pattern identification
- Statistical techniques – variance analysis, correlation, trend analysis, regression‑based reasoning
Outcome: Identified specific process inefficiencies, outlier conditions, and quality deviation patterns. Delivered actionable insights on how process parameters impact production outcomes, directly informing process improvement initiatives.
Statistical Tools:
EDAVariance AnalysisCorrelationTrend AnalysisRegressionExcel