This paper is concerned with the sensitivity analysis of GI/GI/1 queueing model by “push-out” simulation technique, which is based on discrete event dynamic system using structural parameters. The study of “push-out” technique is extension of score function simulation method for sensitivity analysis and stochastic optimization.

Purpose: Computer-aided production engineering simulation is a common approach in the search for improvements to real systems. They are used various industrial sectors and basis optimization. Such simulations have found limited use wool industry. This study aims compare performance of different woolshed layouts (curved vs linear). Design/methodology/approach: A discrete event constructed both c...

Nowadays there is a large availability of discrete event simulation software that can be easily used in different domains: from industry to supply chain, from healthcare to business management, from training to complex systems design. Simulation engines of commercial discrete event simulation software use specific rules and logics for simulation time and events management. Difficulties and limi...

This paper describes staged simulation, a technique for improving the run time performance and scale of discrete event simulators. Typical wireless network simulations are limited in speed and scale due to redundant computations, both within a single simulation run and between successive runs. Staged simulation proposes to reduce the amount of redundant computation within a simulation by restru...

Agile, fast and flexible production networks are a must in today’s global competition. The interrelations between manufacturing systems and processes are becoming more complex and the amount of data for decision making is growing. Manufacturing, engineering and production management decisions involve the consideration of multiple parameters. These often complex, interdependent factors and varia...

The flow of parts through a production network is usually pre-planned by a central control system. Such central control fails in presence of highly fluctuating demand and/or unforeseen disturbances. To manage such dynamic networks according to low work-in-progress and short throughput times, an autonomous control approach is proposed. Autonomous control means a decentralized routing of the auto...