Differential Models, Numerical Simulations and Applications

Abstract

Differential models, numerical methods and computer simulations play a fundamental role in applied sciences. Since most of the differential models inspired by real world applications have no analytical solutions, the development of numerical methods and efficient simulation algorithms play a key role in the computation of the solutions to many relevant problems. Moreover, since the model parameters in mathematical models have interesting scientific interpretations and their values are often unknown, estimation techniques need to be developed for parameter identification against the measured data of observed phenomena. In this respect, this Special Issue collects some important developments in different areas of application.

Importance of Sustainable Collaborative Workplaces – Simulation Modelling Approach

“…Ergonomically designed workplaces significantly influence the satisfaction of workers in a way to achieve efficient production systems and their sustainable justification [19]. The methods that have proven effective are simulation modelling methods [20], but so far researchers have not been able to link the importance of collaborative workplaces to the sustainable orientation of the production process [21,22]. The issue of sustainable orientation primarily touches on the environmental significance of introducing new machines into the production environment [23], but at the same time it also touches on the social aspect of workers [24].…”