Aims and Scope

Modelling and Simulation in Engineering aims at providing a forum for the discussion of formalisms, methodologies and simulation tools that are intended to support the new, broader interpretation of Engineering. Competitive pressures of Global Economy have had a profound effect on the manufacturing in Europe, Japan and the USA with much of the production being outsourced. In this context the traditional interpretation of engineering profession linked to the actual manufacturing needs to be broadened to include the integration of outsourced components and the consideration of logistic, economical and human factors in the design of engineering products and services.

Modelling and Simulation in Engineering intends to report leading-edge scientific contributions from mathematics, computer science, various sub-disciplines of engineering, management, psychology and cross-cultural communication, all of which focus on the modelling and simulation of human-centered engineering systems.

Subject areas of Modelling and Simulation in Engineering include (but are not limited to):

Mathematical formalisms of system modelling
Analytical
Stochastic
Fuzzy
Granular
Set-membership
Simulation methodologies and tools
Continuous simulation
Discrete and combined simulation
Stochastic simulations
Game and fuzzy game theory
Finite automata
Simulation modelling
Optimisation, verification and testing
Agent-based simulation
Knowledge and culture mining/processing
Computation with information described in NL
Ontologies and knowledge modelling
Model morphisms
NL discourse analysis
Complex systems modelling
Qualitative modelling
Multi-resolution modelling and simulation
Modelling abstractions
Numerical methods, algorithms and simulations
Computational Intelligence
Neural networks
Fuzzy logic
Evolutionary techniques
Soft computing for human interaction
Ambient intelligence and ubiquitous computing
Symbolic processing
Simulation Visualisation
Visualisation algorithms
Virtual and augmented reality
Virtual prototyping
Tools and systems for visualisation
Frontiers in HCMS
Computational and physical limitations
Applications
Interoperability of systems and applications
Case studies and best practices
Socio-technical simulation (logistics, transportation, etc.)