Dynamic Control Plan

Introduction

	Are your business processes properly controlled?
	Do you have a written description of the system for controlling parts and processes?
	How do you communicate the initial quality plan to your employees?

The purpose of this Dynamic Control Plan methodology is to aid in the manufacture of quality products according to customer requirements. It does this by providing a structured approach for the design, selection and implementation of value-added control methods for the total system. Controls Plans provide a written summary description of the systems used in minimizing process and product variation. The intent of the Control Plan form displayed in this section is to provide an example of how this information can be documented. The Control Plan does not replace the information contained in detailed operator instructions This methodology is applicable to a wide range of manufacturing processes and technologies.

Benefits Of Attending The Course

The course enables the delegates to:

Realize the importance of the Dynamic Control Plan

Understand the types of Control Plan

Prototype

Pre-launch

Production

Learn to fill-in the Dynamic Control Plan

Who Should Attend?

Dynamic Control Plan is used to enhance Continuous Improvement. It will be appropriate company wide and particularly for those involved in Quality Control, Process Engineers, Product Engineers, Manufacturing, Production and Service. Teams are encouraged to attend for maximum benefit.

Brief Course Outline

Day 1 (AM)

Day 1 (PM)

Why Dynamic Control Plan?

	Aid to manufacturing control
	Track changes to process control

Understand the need

	Prototype Dynamic Control Plan
	Pre-Launch Dynamic Control Plan
	Production Dynamic Control Plan

Day 2 (AM)

Day 2 (PM)

Creating a Dynamic Control Plan

How to use a spreadsheet type

Thorough evaluation of products and processes involved

Using information

	Process Flow Diagram
	FMEAs
	Team learning
	Design or Management Review

How to use a Dynamic Control Plan

	Identifying data
	What is affected (process, tool, machine, etc.)
	Product and process characteristics
	Method of control
	Sampling plan
	Feedback

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