The Desirability Index (DI) is a widely used method for multicriteria optimization in industrial quality control, by which optimal levels of the process influencing factors are determined in order to archieve maximum process quality. In practice however situations may occur in which slight...

The Desirability Index (DI) is a method for multicriteria optimization in industrial quality control. By design of experiment methods and transferring the multivariate into a univariate optimization problem settings of influence factors are selected that lead to a process with simultaneously...

Pareto-Optimality and the Desirability Index are methods for multicriteria optimization in quality management. In this paper the pareto-optimality of the optimal influence factor settings of a process resulting from maximizing the DI is analyzed and is shown to be valid in most cases.

This paper discusses the introduction and implementation of ISO 9000 qualitystandards in the German and French car industry. Rather than a transfer of a set ofconcrete, well-understood rules, which are ready to be implemented, the paperargues, the quality standards have to be reconstructed and...

This study analyzes the minimum quality standard set by the European Union (EU) through Regulation 1371/2007 of Rail Passengers' Rights and Obligations. A welfare maximizing quality standard raises quality and consumer satisfaction, but does not improve the modal split of rail transport. A...

This paper analyses simultaneous regulation of cost and quality when firms have private, correlated information about productivity and the regulator receives a signal about quality. It is shown that managerial effort and expenditures on quality are positively correlated in the optimal contract....

To the best of our knowledge, most of the few methodological studies which analyze the impact of faked interviews on survey results are based on ?artificial fakes? generated by project students in a ?laboratory environment?. In contrast, panel data provide a unique opportunity to identify data...