DYNA JOURNAL ENGINEERING

Key words:

Dinámica de sistemas, ingeniería de control, modelos de regresión, gráficos de control, tejido de punto, System dynamics, control engineering, regression models, control charts, process capability index.

Article type:

ARTICULO DE INVESTIGACION / RESEARCH ARTICLE

Section:

RESEARCH ARTICLES

Historically, control charts have been used (CC) to monitor the quality of the production of industrial processes. The use of CC for this purpose
has limiting operation, which only determines the moments in time the presence of special causes, but does not imply the correctness of its effects on poor quality, or take into account the rate of process capability. Consequently, an alternate to the CC that would achieve adjustments in the manufacturing process during production and increase the rate of process capability is useful. This article presents an approach that allows this ituation, determining “what and how to” make adjustments in the process according to their “outputs.” The operation of CDCS be explained by rocessing the “error signal”, calculated by the system and reduced by a fitting algorithm, this algorithm incorporates an offset variable to a linear egression model that represents the experimentally obtained controlling element of the system. The CDCS presented here was validated by system dynamics. This approach is a novel process control application for the case exposed. The CDCS consists of four basic elements. The elements of CDCS are: i. controlling element, which represents one of the major contributions of research, proposing a fitting algorithm and incorporating a variable ompensation, ii. processing element, iii. measuring element and iv. comparator element. The test results were compared with the control chart of individual measurements and show the impact in restoring the ability of a textile production process to produce parts conforming to quality specifications. To close the research, simulations of random samples with normal distribution have been used to analyze the efficiency of the proposed adjustments CDCS.