Digital twin of wood working enterprise

TL;DR

This paper proposes a digital twin model of a woodworking enterprise that assesses the impact of human factors and staff competencies on enterprise performance, integrating Bloom's taxonomy to analyze employee skills and their influence on operational modes.

Contribution

It introduces a novel digital twin framework that incorporates staff competencies and human factors, providing a comprehensive assessment of enterprise operations.

Findings

The model distinguishes between normal and competency-driven operational modes.

Staff competencies are evaluated using a universal indicator based on Bloom's taxonomy.

The approach links employee efforts and external influences to enterprise performance modes.

Abstract

A review of scientific papers has shown that digital twins are very common for modeling the states of physical objects. It is relevant to consider the creation of a digital twin of an enterprise to obtain various assessments in management, taking into account the human factor. In the research, the impact of the human factor is assessed by the digital twin and staff competencies. The system of goals of staff competencies stands for: cognitive, affective, psychomotor. An enterprise model is created from the description of the set of events taking place on it. Each event is mapped to an element of staff competencies target system. The resulting set of staff competencies is estimated by a universal (integral) indicator. The dynamics of the universal indicator characterizes two modes of operation of the enterprise. The first operating mode is normal. The second mode of operation is based on the implementation of staff competencies. Taking into account the competencies of personnel by Bloom's taxonomy allows you to determine their interconnection: cognitive, affective, psychomotor. It correlation depends on the work performed by the employee and the influence of the external environment. It depends on the efforts of the employee as a learner.