Abstract

Topicality. Today, on the territory of modern Ukraine, assessment of the experts’ competence level is, in most cases, performed in a not computerized way, and the assessment results are stored within the divisions of an enterprise. In view of it, there is no possibility to efficiently plan the activities of training experts of technological processes automation and relevant units, as well as individual numerical control machines operators (Borodin, Andreyev, 2006). It is on this particular basis, there is a possibility to substantiate the topicality of developing an automated system, designed for assessing the competence level of industrial enterprises departments to fulfill their assignments as intended, as well as for planning activities on training experts in technological processes automation. Training experts in technological processes automation includes a set of measures for organizing and solving the tasks of industrial enterprises functioning. Let’s define that taking into account systemic consistency and features of the running the events, as well as the competence level index calculation, through the example of the numerical control machine operators, will permit the efficiency of training . Aim of the study. To explain the synthesis model of numerical control machine operators training. To present the general model of adaptive planning of training experts on technological processes automation. To interpret the theoretical and conceptual basis in terms of planning tasks for training experts in technological processes automation. To develop a planning process for training numerical control machine operators within the parameters of the activities being run. Methods of study. In the present study, a number of scientific knowledge methods, such as induction, deduction, system approach have been applied. Main results and conclusions. The main condition in the planning of training experts in technological processes automation answers the requirement that the level of training for each activity must be calculated based on prior events, which create the information base for and directly affect the efficiency of the meeting. This provision will enable to raise the level of training the operators of numerical control machines without raising the cost of each action plan preparation and training of specialists in technological process automation in general. Using the model described above will provide the quality level of the training process objects, which permits to maximize the capabilities of the equipment to implement processes.

Highlights

  • Introduction and the problem statementToday, on the territory of modern Ukraine, assessment of the experts’ competence level is, in most cases, performed in a no automated way, and the assessment results are stored within the divisions of an enterprise

  • On the territory of modern Ukraine, assessment of the experts’ competence level is, in most cases, performed in a no automated way, and the assessment results are stored within the divisions of an enterprise

  • There is no possibility to efficiently plan the activities of training experts of technological processes automation and relevant units, as well as individual numerical control machines operators (Borodin, Andreyev, 2006)

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Summary

RП Mi

As a totality of KAH, formed by the activity M i in the process of training, is calculated according to the formula:. Let us mark KAH levels being formed, taking into account the information base, created after performing other activities, directly preceding to the activity Mi , out of the infinite aggregate of all available for performing activities M as ZMi /M , NMi/M, UMi/M and the quality training level, formed, let us mark as RMПi /M. Matrices elements are calculated according to the formula: KZ ,U ,N ij KZ ,U ,N , if the measurej forms information base for i training measure (5). Taking into account the adjacency matrices of the mutual influence indexes, the gain of KAH, formed by each training activity Mi , taking into account the information base, obtained from the multitude M of the earlier performed activities on training numeric control machines operators, can be written as: m

KZM j
RП mах
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