Hybrid Discrete Event/Agent Based Model of Career Development.

This is Part 2 of article dedicated to modeling and simulation of career development processes. The simulation algorithm presented here is built on a combined platform of Discrete Events and Agent Based modeling. Main components of the model are employees/agents, the career history of each of which is reproduced in the model. The model takes into account individual characteristics of the agent, the structure and characteristics of the organization personnel policy and many other random factors inherent in career development processes. The hybrid model consists two main sub-models – the sub-model of the agent flow and the submodel of agents’ interaction, which provides simulation of career development processes. The Part 1 of the article presents the sub-model of the agent flow, which is based on the results of a survey of respondents and on a series of theoretical assumptions that made it possible to construct a Discrete Event model of the agent flow. In this part of the article, we present a detailed algorithm related to the Agent Based submodel of the career development processes. The article addresses the production and career components of the agent activity; two types of career mechanisms – a push and a pull movement; the emergence, development and influence of agent coalitions on career development process; the dynamic processes of the agent activity variation, and a number of other factors affecting the career development process.

The algorithms were implemented in the form of Java code. The program code of the model allows you to track and store the career history of each agent, its interaction with other agents, the effect of the model parameters, and evaluate the contribution of each agent and group of agents to the organization's production achievements.