CASE STUDY

Case study

On which dimensions of quality does Dittenhoefer's compete? How these dimensions are threatened by the problems in manufacturing and customer service areas?

The relevance of statistical information produced, is a qualitative measure of the value contributed by it. The value is characterized by the degree of utility to fulfill the purpose for which it was sought by users Depends on the coverage of topics required and the appropriate use of concepts. Measuring the statistical significance of a product requires the identification of its user group and their needs. The information generated has multiple uses and users may change time. New demands require new information. The significance can be measured indirectly investigating whether there are ongoing to determine the perspective of users and their use of information.

The overall design quality can be expanded further by distinguishing between the expected quality and quality latent or surprise. Latent quality that the customer does not expect to find in the product because it was not on the agreed purchase, but that, once received, is satisfied because it anticipates an underlying need. Here we can distinguish three situations: 1. Customer dissatisfaction. Performed quality fails to meet the needs of the client, and obviously much less met their expectations. Are the conditions conducive to loss of market and loss of reputation? 2. Customer satisfaction. The quality is made at the height of the expected quality, the product responding to customer needs. To the extent that the buyer does not receive more than they expected, their loyalty is dependent on the competitive offer. The reputation of the company is not affected by contemplating the client as a normal supplier. The "zero defects" is the least we can ask. 3. Customer enthusiasm. The quality made covers not only the needs but also the expectations of the ...