Six Sigma Management and Tools Pertemuan Matakuliah: Perancangan Manajemen Mutu Tahun: 2009

Bina Nusantara University 3 Chapter 12: Statistically-Based Quality Improvement for Variables Reference: S. Thomas Foster, “Managing Quality: An Integrative Approach”, Second Edition, Pearson Prentice Hall, New Jersey, 2003

Bina Nusantara University 4 Statistically-Based Quality Improvement for Variables Statistical Fundamentals Process Contol Charts Some Control Chart Concepts for Variables Other Statistical Techniques in Quality Management Discussion and Questions

Bina Nusantara University 5 Statistical Fundamentals What is Statistical Thinking? Why Do Statistics Sometimes Fail in the Workplace? What Do We Mean by the Term Statistical Quality Control? Understanding Process Variation Process Stability Sampling Methods Random Samples Systematic Samples Sampling by Rational Subgroups Planning and Inspection

Bina Nusantara University 6 Process Contol Charts Variable and Attribute Control Charts A Generalized Procedure for Developing Process Charts Understanding Control Charts Inteprating Control Charts

Bina Nusantara University 7 Some Control Chart Concepts for Variables Choosing the Correct Variables Control Chart Corrective Action How Do We Use Control Charts to Continuously Improvement? Tampering with the Process

Bina Nusantara University 8 Process Capability for Variables Population Versus Sampling Distributions –Six Sigma Quality (Figure 12-20, Six Sigma Quality) –Population and Sampling Distribution (Figure 12-21, Population and Sampling Distributions for Class Capability Studies

Bina Nusantara University 9 Discussion and Questions Case 12-1: –Ore-Ida Fries