Who this book is for

Quality Engineers and Quality Managers

Quality Professionals responsible for deploying, maintaining, or improving Statistical Process Control (SPC) systems will find this book directly applicable. It addresses real-world SPC failures, audit readiness, control chart misuse, and how to move from “SPC for Show” to "SPC for Improvement" within your organization and at your suppliers.

Manufacturing, Product and Process Engineers

Engineers who design, monitor, or optimize manufacturing processes—especially those dealing with variation, sampling strategies, and process stability—will benefit from the book’s practical guidance on effective sample size, control chart selection, and removing lurking variables.

Operations and Plant Leaders

Plant managers, operations managers, and production leaders who are accountable for throughput, yield, cost, and compliance will gain insight into how effective SPC reduces firefighting, false alarms, and unnecessary adjustments while improving operational excellence.

Lean, Continuous Improvement, and Operational Excellence Practitioners

Practitioners working in Lean, Six Sigma, or continuous improvement roles will find the book valuable for integrating SPC into sustainable improvement systems rather than treating it as a compliance exercise.

Reliability and Engineering Excellence Professionals

Those focused on long-term process reliability, stability, and predictability—including reliability engineers—will benefit from the book’s emphasis on stability indices, correct capability reporting, and data-driven decision-making.

Regulatory, Compliance, and Audit-Facing Organizations

Organizations operating in regulated industries (e.g., medical devices, automotive, aerospace, semiconductor, or other high-reliability manufacturing environments) will find the guidance on audits, scorecards, and SPC effectiveness particularly relevant.

SPC Program Owners and Deployment Leaders

Anyone responsible for rolling out, standardizing, or rescuing an SPC program across multiple lines, tools, or facilities will benefit from the book’s structured setup, qualification steps, and program-level auditing methods.

Experienced Practitioners Frustrated with Ineffective SPC

This book is especially suited for professionals who already “know SPC” but are frustrated by false out-of-control signals, excessive workload, poor adoption, or charts that do not lead to improvement.

Students studying Statistical Methods applied in Manufacturing

While the book includes an SPC overview, it supplements courses on manufacturing, quality, statistical and other data analysis techniques who want deeper, field-tested methods rather than just introductory theory.