Open AccessModel of Optimal System Management in the Military Process Industry in the Conditions of the COVID-19 Pandemic
Author(s) -
Zdravko Bijelić,
Novi Sad Centar za Iroe Logos u osnivanju,
Biljana Milanović,
Mitar Bijelić
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.24094/ptk.021.34.1.67
Subject(s) - multidisciplinary approach , process (computing) , pandemic , field (mathematics) , computer science , management science , risk analysis (engineering) , function (biology) , covid-19 , engineering , engineering management , business , medicine , mathematics , disease , pathology , evolutionary biology , infectious disease (medical specialty) , pure mathematics , biology , social science , sociology , operating system
The paper deals with the problem of research related to the systemic problem of optimal management related to the military process industry in the environment covid-19. The developed model enables the application of soft mathematics technology to make reliable decisions related to the field of business of the military process industry. Using the method of analogy, the developed model for optimal process industry management can be used for systems in other areas as well. Unlike various models that were developed before the covid-19 pandemic, this model puts the health safety factor in the first place in terms of evaluation.With the appearance of the covid-19 pandemic, a security factor in the military industry, and above all the process is further complicated, and thus the system optimization of management. The paper shows the possible application of the model on a specific production system in the field of military process industry. Research shows that at all levels of management in the conditions of the covid-19 pandemic, there was no systematic approach to management optimization in which the safety factor is in the first place.Successful modeling of such complex systems is not possible without the application of multidisciplinary knowledge such as: engineering-technical, medical-health, security, economic, socio-psychological, educational and soft mathematics. In the education system, developmental changes are needed in the function of educating a larger number of staff who possess multidisciplinary knowledge.