This paper describes the development of a process simulation model and integration of the genetic algorithms (GA) with the model as optimisation techniques using a case study of lot sizing problem (LSP) in make-to-order (MTO) supply chain solved by a combined simulation and genetic algorithm (GA) optimisation model. The simulation model is performed using ARENA software. GA model is implemented...

While developing new business systems and reengineering already existing ones, many organizations use the Unified Modelling Language (UML) to design a system’s structure and describe system’s behaviour. In spite of describing system’s behaviour with the UML model, the model itself is static. UML does not provide a possibility of running the model and studying the system’s behaviour. In such a s...

SUMMARY Although in silico drug discovery approaches are crucial for the development of pharmaceuticals, their potential advantages in agrochemical industry have not been realized. The challenge for computer-aided methods in agrochemical arena is a lack of sufficient information for both pesticides and their targets. Therefore, it is important to establish such knowledge repertoire that contain...

The design of adequate input models is crucial for the validity of simulation experiments. Nowadays it is common to analyse trace data and to determine appropriate probability distributions for the generation of identically and independently distributed random numbers. Although it is well known that ignoring the correlation structure might give false results, modelling and generation of correla...