No abstract

Systems in the natural resource industry vary in their tolerance of human errors. Such operations are open to fallible decisions resulting from the way in which the organization deals with information. Organizations must therefore improve on their ability to learn from incidents in order to reduce the frequency and severity of errors. Presents information on fallible decisions from the management and cognitive sciences, as well as major disasters (for example Challenger; Herald of Free Enterprise). Describes a framework for increasing organizational learning through incident analysis and presents a five-step method for systematically analysing incidents.

The aim of this study was to obtain a predictive model able to perform an early detection of central segregation severity in continuous cast steel slabs. Segregation in steel cast products is an internal defect that can be very harmful when slabs are rolled in heavy plate mills. In this research work, the central segregation was studied with success using the data mining methodology based on multivariate adaptive regression splines (MARS) technique. For this purpose, the most important physical-chemical parameters are considered. The results of the present study are two-fold. In the first place, the significance of each physical-chemical variable on the segregation is presented through the model. Second, a model for forecasting segregation is obtained. Regression with optimal hyperparameters was performed and coefficients of determination equal to 0.93 for continuity factor estimation and 0.95 for average width were obtained when the MARS technique was applied to the experimental dataset, respectively. The agreement between experimental data and the model confirmed the good performance of the latter.

Although more studies are still required, orthoimplants could be an alternative treatment for reducing snoring and the apnea-hypopnea index and increasing SaO2, which should be considered for patients who do not tolerate CPAP and lack appropriate dental support for attaching intraoral devices.

Describes an integrated model of error management which includes: the external environment; the corporate environment; the manager and the managed; incident management; inquiries; and, learning from errors. Includes classification of error types with examples. By understanding this model organizations can improve their ability to manage error.