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PT. DiGiSi INDONESIA

0821-7377-0750


BATAM : La Vinca Town Square Block I/18 Batam Center, Batam
Category
Customer Support

Marketing: 

1.Purniawan

Phone: 0821 7001 5121

Email:purniawan@digisi-indonesia.com

 

2.Reyan Andreas Rumbajan

Phone: 0812 7611 7821

Email: rayen@digisi-indonesia.com

 

3.Oka Effendi

Phone: 0812 7611 7821

Email:oka.effendi@digisi-indonesia.com

 

4.Tessy Irmawati

Phone: 0812 7611 7821

Email: tessy@digisi-indonesia.com

 

Administration: 

5.Phone: 0812 7377 0750

Email: adm@digisi-indonesia.com

Quality Tools Development

Statistical Process Control (SPC) – Level III, Analysis of Variance (ANOVA) & Design Of Experiments (DOE) (2 Days)

 Target Audience 

  • Engineers, supervisors, technical support personnel.
  • Section Heads & Department Managers

Course Objective

  • To know how to do Analysis of Variance (ANOVA), and also to explain the statistical theory and concepts behind ANOVA.
  • To know why design of experiments (DOE) are more efficient and effective than one-at-a-time (OAT) experimentation.
  • To understand how to plan a designed experiment.

Course Content

  • Understand ANOVA and its concepts
  • Why DOE?
  • DOE Terminology
  • Types of Designed Experiments
  • Tests of Significance
  • Setting Up a Designed Experiment
  • Unit Test
  • DOE Challenge
  • Taguchi Concepts & Taguchi Matrices
  • Taguchi Experimental Analysis

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Statistical Process Control (SPV) – Level II, Advanced Statistical Tools: Control Charts & Index Capability (2 Days)

Target Audience

Advanced SPC is ideal for people responsible for setting up control charts and conducting process capability studies, i.e. QC persons, Manufacturing or Production Staffs.

Course Objective 

  • Able to set up a variable and attribute control chart.
  • Able to select the proper type of control chart for the process.
  • Able to understand the differences between a variety of variables control charts and understand which chart is used when.
  • To conduct a full process capability study.

Course Content 

  • Setting Up Variable Control Charts
  • Setting Up Attribute Control Charts
  • Setting Up Individuals & Moving Range Control Charts
  • Special Control Charts & Applications
  • Taking Action to Improve the Process
  • More Capability Indices
  • Process Capability Study Complications

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Statistical Process Control (SPC) – Level I, Understanding Basic Statistical Tools (2 Days)

Target Audience 

  • Line Leaders
  • Officer, Supervisor & Engineers
  • Section Heads
  • People need an organized way to determine what really causes problems

Course Objective 

  • Introduces the 7 basic statistical techniques used in management, and the improvement of any process
  • To learn the description, uses, cautions and applications for each of the statistical techniques
  • To understand how and when to apply these very powerful tools by using of numerous examples and exercises

Course Content 

  • The Variation Principle
  • Pareto analysis
  • Flow chart
  • Cause & effect diagram (Ishikawa Fishbone)
  • Histogram
  • Run chart
  • Scatter diagram

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PPAP (1 Day)

Target Audience 
Multi-disciplinary: Managers, process owners, engineers, officers and other personnel who are involved in the introduction of new products and contribute to the APQP/PPAP process.

Course Objective

  • To focus attention on meeting customer requirements
  • To enables the key contributors to understand the importance of their timely input
  • To avoid costly errors

Course Content

  • PPAP Submission
  • PPAP Requirements (18 Elements)
  • Customer Notification
  • Submission Levels
  • PPAP Status
  • Record Retention

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Measurement System Analysis (MSA) - Stability, Linearity & Gauge R&R (2 Days)

Target Audience 

  • Engineers, quality professionals, supervisors and metrology technicians
  • Section Heads & Department Managers

Course Objective 

  • To explain various sources of measurement system uncertainty
  • To conduct measurement system studies including assessment of linearity, stability, and reproducibility
  • To define ways to improve measurement systems
  • To understand and implement a gage management and calibration system

Course Content 

  • Concepts of MSA
    • Measurement system elements and their contribution to measurement variation
    • Terminology and concepts (bias, linearity, stability, repeatability and reproducibility)
  • The existence and measurement of variation
    • Variation
    • Normal Distribution
    • Accuracy and Precision
    • Measures of variation (mean, standard deviation and variance)
  • MSA Studies
    • Bias (overview and methodology)
    • Linearity (overview and methodology)
    • Stability studies (overview and methodology)
    • Measurement Uncertainty (overview)
    • Measurement system analysis and studies (variable and attribute)
    • Repeatability and Reproducibility
    • Performance of a gauge R&R study
  • Interpretation and use of study data (from example data provided)
  • Using data for cost-saving (calibration intervals, number of measurements taken etc)

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Failure Mode Effects Analysis (FMEA) (1 Day)

This course provides a step by step understanding of the FMEA development process and will show how to take full advantage of the features and capabilities within the FMEA development.

Target Audience 
New Product Launch Team Members ie: Management and Technical personnel from Product Design, Program Management, Quality & Manufacturing Engineering, Production Operations, Purchasing, Sales and Marketing.

Course Objective 

  • To provide common terminology to guide teams through the FMEA development process.
  • To identifies potential design, process, and product failures at early stages in the process to allow for applicable actions being taken to prevent high failure costs at launch and throughout the life of the program.

Course Content

  • Describes the methodology used to predict potential risks throughout the product and process design stages.
  • Learn how to effectively engage team members involvement in the FMEA development process.
  • Learn the applicable customer requirements as outlined within standard FMEA guidelines, such as SAE J1739 MIL-STD-1629A EN 1050 ISO 9000 series ISO/TS 16949 IEC 812, and APQP.

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