Quality Audits - Different types and Objectives

Quality Audits - Different types and Objectives

Refresh the basics: Important differences between ISO/TS16949:2009 Vs IATF16949:2016

Refresh the Basics: Differences between ISO9001:2008 Vs ISO9001:2015

A SIMPLE PROCESS CONTROL SYSTEM MODEL WITH FEEDBACK

Six basic points to know before learning Statistical Process Control (SPC)/AIAG SPC manual

SIX BASIC POINTS TO KNOW BEFORE LEARNING STATISTICAL PROCESS CONTROL (SPC)

1. Gathering data and use of statistical methods are not end in themselves. It is very easy to become technical experts without realizing improvements. Enhanced knowledge of Statistical process control techniques should become the basis for taking action on the process.

2. Measurement systems are critical and it should be in a state of statistical control. Before you start SPC, make sure the Measurement System Analysis is reliable. More details can be obtained in the MSA manual from AIAG.

3. The basic concept of variation study and use of statistical methods can be applied to any process – Manufacturing as well as in administrative, service-oriented industries.

4. Historically, SPC is applied to products and not processes. The processes that generate output become the focus of our efforts to realize the full power of SPC.

5. Real understanding of the subject involves deeper contact with the actual process control situations. There is no substitute for hands-on experience.

6. The SPC manual should be considered as the first step towards the use of statistical methods. It provides generally accepted approaches, with examples. Readers are encouraged to pursue formal statistical education and or consult experts. In any event, procedures must satisfy the customer’s requirements.