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System Dynamics & Agent-Based approaches to face HR constraints

System Dynamics & Agent-Based approaches to face HR constraints

Client Public ICT company localized in Minas Gerais, Brazil; Primary Hospital Localized in Foz do Iguaçu, Brazil
Authors/Consultant Guttenberg Ferreira Passos, Ilan Chamovitz, Babis Theodoulidis

Case summary

Human Resource Management (HRM) has emerged as a fundamental and critical capital in organizations. After all, human resources plan, design policies, handles machinery and innovates. Human Resources hire human resources. In this context, information systems can facilitate the understanding of problems, especially when there is a complex scenario involving decision making. Thus, investment in HR Information Systems becomes increasingly valued by managers.

To better understand and manage human resources in Research and Development teams and develop competences in alignment with a dynamic and complex environment, a combination of System Dynamics and Agent-based modelling was used. This model career’s employee evolution is mapped taking into account these 3 steps, including promotions and absences from work, considering time, from hiring to retirement. During this cycle there is a possibility of one or more delays, that lead the employee on taking a certain time to pass from a beginner employee to more experienced one. The proposed model was generated from the Organizational Responsibility Model. It has been applied for a public service ICT software development company, in Brazil. The model was extended to the ST segment elevation myocardial infarction (STEMI) and the Customer Monitoring Marketing Model.

Clients in both cases greatly increased their insight into the causes of delayed reactions to changes in the environment. The model indicates that integrating qualitative and quantitative data contribute to a deeper understanding of the different factors related with delay in STEMI patients’ treatment. It can help the decision makers in providing the best care for STEMI patients, to experiment with new prevention policies, look for improvements in the process and consequently decrease the rate of mortality and complications after a cardiac event.

Links to articles, presentations or models:

Video of Evolution Of Employee (IEEE):
Video of HR – Marketing Model:
Link to the Paper

Extended work:

ANDRADE LD, LYNCH C, CARVALHO E, RODRIGUES CG, VISSOCI JRN, et al. (2014). System Dynamics Modeling in the Evaluation of Delays of Care in ST-Segment Elevation Myocardial Infarction Patients within a Tiered Health System. PLoS ONE 9(7): e103577. doi:10.1371/journal.pone.0103577.

System Dynamics Admins
System Dynamics Admins