Manufacturing & Operations Analytics for Beginners: A Practical Guide to Production Analytics, OEE, Quality, Lean Manufacturing, Maintenance, Capacity

By Aruj Mishra

Turn factory data into better decisions - without becoming a data scientist.

Modern manufacturing generates more data than ever before. Production counts, downtime records, quality results, maintenance histories, machine sensors, labor hours, and ERP systems all contain valuable information. The challenge is knowing what to measure, how to analyze it, and what action to take.

Manufacturing & Operations Analytics for Beginners is a practical, plain-English guide for manufacturing professionals who want to use analytics to improve factory performance without needing advanced statistics, programming, or data-science experience.

Inside, you'll learn how to:

Measure factory performance using OEE, throughput, cycle time, takt time, yield, scrap, downtime, and capacity utilizationDiagnose why actual production differs from planIdentify bottlenecks and constraints that limit outputAnalyze downtime using Pareto and root-cause techniquesMeasure quality using first-pass yield, process capability, SPC, and Six Sigma conceptsApply Lean, value-stream mapping, takt time, line balancing, and continuous improvement analyticsImprove maintenance using MTBF, MTTR, equipment criticality, and predictive maintenanceAnalyze labor productivity and manufacturing capacityUnderstand MES, ERP, SCADA, PLC, CMMS, IoT, and Industry 4.0 dataUse AI and ChatGPT to support manufacturing analysis and decision-makingUnderstand digital twins, simulation, and smart-factory analyticsBuild practical manufacturing dashboards in Excel

Every chapter follows a structured learning format with worked numerical examples, real-company business cases, practical exercises, common pitfalls, formulas, and key takeaways. The manuscript covers 25 chapters across production, quality, lean, maintenance, capacity, AI, Industry 4.0, and manufacturing dashboards.

Whether you're a production manager, manufacturing engineer, operations analyst, quality professional, maintenance manager, continuous-improvement specialist, MBA student, or aspiring plant leader, this book gives you the analytical vocabulary and practical frameworks needed to make better operational decisions.

You don't need to learn Python. You don't need advanced mathematics. You need to understand the numbers that run your factory.

Start turning manufacturing data into operational improvement.

• Format: Paperback
• Language: English
• ISBN: B0HH2SVGHJ
• ISBN13: 9798170527137
• Release Date: August 2026
• Publisher: Independently Published
• Length: 110 Pages
• Weight: 0.32 lbs.
• Dimensions: 0.3" x 6.0" x 9.0"