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OBJECTIVE:
Providing the participants with purpose of process statistic control techniques so they can get the maximum benefit for the company, increasing their productivity and diminishing costs by selecting, making, and interpreting control graphics through variables and attributes to control process parameters and product characteristics to make decisions.
BASIC COURSE INFORMATION:
ADDRESSED TO:
Leaders, managers, supervisors, area coordinators in charge of quality or production for services or manufactory companies, and staff on training for his level.
DEVELOPING COMPETENCIES
Continuing improvement, issue analysis, results orientation.
SYLLABUS
I. ATTRIBUTE CONTROL
A. Controlling Quality through SPC Methods
B. SPC Fundamentals
C. Data Collection Sheets
D. Pareto Diagram
F. Cause-Effect Diagram or Ishikawa (common and special causes)
G. Control Graphics by Attributes (P, NP, C, U)
H. Stratification
II. VARIABLE CONTROL
A. Histogram and Frequency Distribution (normal and abnormal)
B. Processes (CP, CPK, Pp and PpK) Skills and Capability.
C. Selecting variables to control and sampling techniques
D. Preliminaries conditions to make capabilities studies
E. Average and range, individual values, mobile range, media, and standard deviation
F. Control limits computing and re-computing.
G. Control graphics benefits
III. DISPERSION AND CO-RELATION DIAGRAM
IV. IMPROVEMENT CYCLE AND PROCESS CONTROL
V. EXERCISES FOR EACH TOPIC
