Quality In ISO 9001 Standards

The Eight Dimensions of Quality

1. Performance

2. Reliability

3. Durability

4. Serviceability

5. Aesthetics

6. Features

7. Perceived Quality

8. Conformance to Standards

Terminology

Every product possesses a number of elements that jointly describe what the user or consumer thinks of us as quality. These parameters are often called quality characteristics. Sometimes these are called critical-to-quality (CTQ) characteristics. Quality characteristics may be of several types:

1. Physical: length, weight, voltage, viscosity

2. Sensory: taste, appearance, color

3. Time Orientation: reliablility, durability, serviceablity.

Since variability can only be described in statistical terms, statistical methods play a central role in quality improvement efforts. In the application of statistical methods to quality engineering, it is fairly typical to classify data on quality characteristics as either attributes or variables data. Variables data are usually continuous measurements, such as length, voltage, or viscosity. Attributes data, on the other hand, are usually discrete data, often taking the form of counts. We will describe statistical-based quality engineering tools for dealing with both types of data.

The Eight Dimensions of Quality1. Performance2. Reliability3. Durability4. Serviceability5. Aesthetics6. Features7. Perceived Quality8. Conformance to StandardsTerminologyEvery product possesses a number of elements that jointly describe what the user or consumer thinks of us as quality. These parameters are often called quality characteristics. Sometimes these are called critical-to-quality (CTQ) characteristics. Quality characteristics may be of several types:1. Physical: length, weight, voltage, viscosity2. Sensory: taste, appearance, color3. Time Orientation: reliablility, durability, serviceablity.Since variability can only be described in statistical terms, statistical methods play a central role in quality improvement efforts. In the application of statistical methods to quality engineering, it is fairly typical to classify data on quality characteristics as either attributes or variables data. Variables data are usually continuous measurements, such as length, voltage, or viscosity. Attributes data, on the other hand, are usually discrete data, often taking the form of counts. We will describe statistical-based quality engineering tools for dealing with both types of data.

Effects of ISO 9001 Implementation

Overall we can say that a company sought certification primarily to meet internal needs rather than as a response to external market forces. However the first action to be certified seems as a proactive response, we could not see a clear effort in the company to evaluate the actual results of this process.

Despite all, it has been stated that the certification has enabled them to achieve higher quality, productivity thus product reliability and increase in customer satisfaction. From the aspect of cost dimension it was declared that ISO 9001 implementations had moderately positive impacts on cost reductions by the increase in productivity and decreases in spoilage, rework and scrap. A factor affecting the occurrence of previous impacts is careful selection of the appropriate supplier.

Overall the most important impact of certification was stated to be the improvements in the brand image of the company from the viewpoint of their customers. This will also be very advantageous in the retention of existing customers and attraction of new ones. As a result of the synergy between the stated improvements company achieved a significant competitive advantage compared to competitors that are not certified.

Company has neither any application nor any action regarding TQM and quality costs.