Botond Kádár

TL;DR: The paper describes the possible roles of the simulation and emulation in production planning and scheduling as well as in production control systems through a casestudy for optimizing the internal logistic system of a given production system.

TL;DR: A two level adaptation method is proposed to solve the scheduling problem in a dynamically changing and uncertain environment and is applied to the heterarchical multi-agent architecture developed by Valckenaers et al.

TL;DR: An integrated production planner and job shop scheduler system with flexible modelling capabilities and powerful, scalable solution methods and a discrete-event simulation model to evaluate the robustness of schedules in face of various uncertainties is presented.

TL;DR: In this article, a multi-objective decision support model is presented evaluating the best enablers for the levels of production network, plant and shop floor, and suggested models for the stabilization of the production system's performance under volatile environment use analytical and simulation based approaches on the regarded levels.

TL;DR: The cooperative use of agent-based distributed control structures and the more centralized (e.g. GA-based) schedulers is proposed aiming at systems which can handle critical complexity, reactivity, disturbance and optimality issues at the same time.