The year 2020 introduced unexpected critical structural changes into a rather conservative sector of drilling services. In a situation where the confirmed volumes of work are unpredictably transferred, postponed, halted, or re-negotiated, the leaders of high-tech service companies providing technical and technological support for oil and gas drilling, had to make a number of strong-willed decisions in order to continue to support the telemetry equipment fleet and retain a team of engineers by staying in the market. Of course, there are those who are not ready for this. In this article, we will look at the technical side of this reboot through a careful optimization of resources used by drilling service companies.
The features and requirements for monitoring the implementation of professional development of personnel are considered. Based on the analysis of special and common causes of variability in the educational process, leading to inconsistencies in the development of educational programs, recommendations are given for the use of the test sample control and control maps of average values and scales to identify the action of special causes and bring the process to statistically controlled state. The proposed monitoring procedure can be used in the system additional education to ensure the quality of the implementation of training programs.
Vocational training (VET) is a very complex and understudiedsystem-object, the functioning of which is the subject to a continuous action of a large number of random (uncertain) factors. The coactions of these factors leads to significant inconsistencies in the development of the training program, reducing its effectiveness in relation to the achievement of learning objectives. The lack of commensurability of the real increase in efficiency with the target settings should be considered, first of all, as a problem of software quality. In connection with the insufficiency of the existing theoretical ideas about the internal properties of the educational process (OP), the problem of control synthesis can be solved by observing its inputs and outputs. Observation of the reaction of output quantities to changes in input influences allows us to construct a posteriori model of the process, i.e. to identify the quality problem in the early stages of its inception. The purpose of this work is to investigate the possibility of ensuring the quality of personnel software by the identification method based on the results of evaluating the input and output signals of the OP as a control object. The methodology of work is based on the concept of integrated quality management (TQM) and the process approach. The main categories of problems of the quality of education are considered and clustered to support the adoption of managerial decisions. The most important features of closed and open problems that need to be considered when making decisions are described. Recommendations were developed on the application of methods of direct and indirect approaches to the identification of quality problems. It has been shown that discussions in cross-functional groups provide, as a rule, the best results in identifying and resolving problems. The value of the study for the theory and practice of software consists in constructing an identification procedure to support the adoption of informed decisions when choosing actions to prevent the development of quality problems. The developed identification procedure can be applied in the software system, providing an acceptable level of satisfaction of the enterprise personnel with the quality of training.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.