Simulation is a key technology for developing planning and exploratory models to optimize
decision making as well as the design and operations of complex and smart production …

Rapid population growth and increased urbanisation have contributed towards increased
pressures on global energy, water and food (EWF) resource systems. Therefore, there is an …

Our research strives to examine how simulation models of logistics systems can be
produced automatically from verbal descriptions in natural language and how human …

This paper addresses the background and current state of the field of agent-based
modelling and simulation (ABMS). It revisits the issue of ABMS represents as a new …

Purpose Decision support systems are becoming an indispensable tool for managing
complex supply chains. The purpose of this paper is to develop a multi-agent-based supply …

Agent-based simulation (ABS) is an approach to modeling systems comprised of individual,
autonomous, interacting “agents.” Agent-based modeling offers ways to more easily model …

In this work, we address the Truck-multi-Drone Team Logistics Problem (TmDTL), devoted to
visit a set of points with a truck helped by a team of unmanned aerial vehicles (UAVs) or …

The management of demand-side flexibility plays a key role in reliable integration of
intermittent renewable energy sources into residential microgrids. Residential microgrid is a …

Industrial deployment of the Internet Of Things (IOT) provides development of an ideal
platform for decentralized management of warehouses. In this paper, we propose an IOT …

Ensuring a consistent and regular availability of food is crucial for food security. Food
markets, supplied through both domestic production and international trade, are governed …