Decision-Making Using Statistical Process Control SPC Conference

  • Decision-Making Using Statistical Process Control SPC Conference
  • Azerbaijan - Baku

Decision-Making Using Statistical Process Control SPC Conference

Course Category : Conference

This professional conference enables participants to apply Statistical Process Control tools to improve quality performance, support operational decision-making, and enhance data-driven organizational efficiency.
Duration: 5 Days
Level: Intermediate to Advanced.

Starts On

9 - November - 2026

Ends On

13 - November - 2026

Location

Azerbaijan - Baku

Language

English

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View Course Introductory PDF

Targeted Audience

  • Quality and Excellence Managers
  • Production and Operations Managers
  • Quality and Process Engineers
  • Manufacturing and Production Supervisors
  • Operational Data Analysts
  • Continuous Improvement Managers
  • Performance Management Professionals
  • Operational Decision-Makers

Targeted Skills

  • Process Variation Analysis
  • Statistical Control Chart Application
  • Statistical Performance Interpretation
  • Common and Special Cause Identification
  • Data-Driven Decision-Making
  • Quality and Productivity Improvement
  • Continuous Improvement Methodologies
  • Process Stability Assessment

Expected Outcomes

  • Understand SPC principles and their role in decision-making.
  • Analyse process variation and its operational impact.
  • Use control charts to monitor process stability.
  • Interpret statistical data to support operational decisions.
  • Detect operational issues before they affect outcomes.
  • Develop evidence-based improvement plans.

Training Topics Index

  • Introduction to Statistical Process Control
  • Types of Process Variation
  • Quality and Decision-Making Relationship
  • Core SPC Principles

  • Operational Data Collection Methods
  • Key Performance Metrics
  • Trend and Pattern Analysis
  • Data Reliability Assessment

  • Types of Control Charts
  • Developing and Reading Control Charts
  • Statistical Control Limits
  • Detecting Process Deviations

  • Interpreting Statistical Signals
  • Common vs Special Causes
  • Corrective Action Decision-Making
  • Performance Improvement through Data

  • Integrating SPC with Quality Systems
  • Process Improvement Techniques
  • Measuring Improvement Results
  • Building a Data-Driven Culture