Answers:
- QS 9000
- Attaining quality culture through employees
- Importance of quality control
- Double sampling plan
QS 9000
QS 9000 was developed in 1994 for the automotive industry to provide requirements for the quality systems on the basis of the needs of the automotive sector. The requirements were developed by Chrysler, Ford, General Motors and other major truck manufacturers. The use of QS 9000 in the automotive industry has led to the elimination of demands and waste
due to redundancy in the systems being followed. Companies following QS 9000 are considered to offer better products in terms of standards and quality.
Attaining quality culture through employees
Business leaders in the present agree that the only way to survive in our competitive world is by obtaining full customer satisfaction through the consistent delivery of high quality products and services. The most challenging task for an organization is to achieve customer satisfaction and then retain it. To achieve these goals, organizations undergo various changes like opting for downsizing or mergers.
Quality, as we know today, is defined as synonym for customer satisfaction. The requirements of customers are always changing and are greatly affected by the competition. The future needs of customers can be the result of competition.
Importance of quality control
The importance of quality control can be understood in the following points:
- Ensures the level of quality in raw materials acquired for production
- Minimises errors and defects in the final product/service
- Reduces overall costs by cutting down defective production
- Facilitates standardisation in products
- Improves brand image in the market
- Helps an organization face competitive threats in the market
- Helps to determine costs in advance
Double sampling plan
The procedure of double sampling plan is as follows:
1. Collect a random sample from the lot for inspection
2. Inspect the sample for the required quality characteristics
3. Accept the lot if the number of defects in the sample is equal or less than the number set in parameters say C1
4. Reject the lot if the number of defects in the sample is more than the number set in parameters say R1
5. Select another sample if the total number of defects is more than C1 but less than R1
6. Accept the lot if the total number of defects in both the samples is less than the acceptance number C2
7. Reject the lot if the number of defects in both the samples is more than the rejection number R2