PROGRAM DETAILS

 Introduction

Organizations are (or ought to be) concerned about the quality of the products and services they offer. A key to maintaining and improving quality is sys- tematic use of data in place of intuition or anecdotes.

A company’s financial office might record the per cent of errors that outside auditors find in expense account reports or the number of data entry errors per week. The personnel department may measure the time to process employee insurance claims or the per cent of job offers that are accepted.

We can all agree that when manufacturing a product, it is desired to produce a “quality” product. This can be said whether we are talking about cars, food, medicines, or microsystems. There is no universally accepted definition for “Quality”; it is a subjective term full of meanings and connotations. Given the needs of a customer, we can say that quality is the realization and control of characteristics that determine whether the product will in fact satisfy those needs.

Realization includes the design of the product. Control includes the control of deficiencies in the product minimizing the variation around desired nominal values or “targets”.

Benefits 

• Improved Quality
•  Employee Participation
•  Team Work
•  Internal & External Customer Satisfaction
•  Productivity ,Communication
•  Profitability & Market Share

 Learning Objectives

To explain process variation and the need to identify special cause variation.

This Primary Knowledge (PK) unit provides an overview of Statistical Process Control (SPC) and how it relates to MEMS fabrication. Statistical Process Control, often referred to as SPC, is a set of tools used for continuous improvement and quality control of an active manufacturing process. There are two (2) suggested activities that reinforce the material presented in this PK as well as a final assessment.

Statistical process control (SPC) is a philosophy, a strategy, and a set of methods for ongoing improvement of systems, processes, and outcomes. It is mainly based on learning through data to reduce problems and analyze the impact of our changes

Upon successful completion of this program, students should be able to:

Should be able to describe why Statistical Process Control is needed when manufacturing a product and you should be able to apply the basic tools of statistics rules to interpret a control chart.

Target Audience

This training course has been designed for those who want to enhance the with knowledge of Statistical Process Control and quality management and also caters to those lacking competency in SPC and Quality Management.

Training methodology 

The seminar will use a range of interactive activities – group and individual exercises, case studies and discussions. There will also be formal inputs of theory and practical models. The programme is geared towards effective application of what has been learned in order to maximize the value of the seminar to both the individual delegate and his/her organization.

 Program Content

 Day 1:

The first day of the course will be used to introduce the delegates, to outline the objectives and benefits of the programme as well as give an overview of the subject matter.

 Day 2:

• Concept of quality
• Approaches to Quality management
• Quality Gurus
• Quality Framework
• Principles of Quality management
• Benefits of a QM

Day 3:

•  Statistical thinking is the ability to
• Identify,
• Quantify,
• Reduce &
• Control
• Rationale
• Requirements
• Role of Management
• Implementation Process

 Day 4:

 QUALITY MANAGEMENT PRINCIPLES

•  Customer focus
• Leadership
• Involvement of people
• Process Approach
• System approach to management
• Continual improvement
• Factual  approach to decision-making
• Mutually beneficial supplier relationships

Day 5:

• Total Quality Tools
• Statistical Process Control
• SPC System
• Role of Management
• Benchmarking
• Just-in-Time Manufacturing
• Implementation