Discrete event simulation is used to model, study, plan, and improve systems in which random events play a dominant role. These systems are often driven by complicated mathematical and logical relationships, making it impossible to derive an analytical solution. The journal OR/MS Today cites simulation software as one of the most widely used tools in operations research, due in part to its appl...

In the paper, the performance of production networks by autonomous logistic processes and control versus those with conventional material planning under a dynamic business environment is investigated. Regarding this, by developing a discrete-event simulation model of an exemplary production network the competency of application of autonomous processes (in bearing flexibility) is presented. A ne...

This paper will discuss the benefits of sharing data between discrete event process simulation and ergonomic workplace assessment using software developed by Deneb Robotics Inc. A modeling exercise has been developed to illustrate the integration of ergonomic and discrete event process modeling. This paper will provide an overview of ergonomic and process modeling, a summary of features and fun...

The paper presents a comparison of several methods for production line bottleneck analysis using discrete event simulation approach and the simulation software WITNESS. An experimental environment has been created for processing and comparison of results obtained from the WITNESS simulation experiments. The advantages and constraints of the cited methods are discussed.

KEYWORDS Parallel discrete event simulation, hybrid state saving , rollback-recovery mechanisms, performance evaluation. ABSTRACT Optimistically synchronized parallel discrete event simulators must sometimes undo, by rolling back parts of the system state, the erroneous over optimistic computation deriving from the decentralized management of the event list. For this reason, an essential part o...

Lindén, J. 2018. Synchronization Techniques in Parallel Discrete Event Simulation. Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 1634. 57 pp. Uppsala: Acta Universitatis Upsaliensis. ISBN 978-91-513-0241-6. Discrete event simulation is an important tool for evaluating system models in many fields of science and engineering. To improve the pe...

In this paper, we present our work in the field of computational intelligence and discrete event systems. Knowledge representation and the inclusion of imperfect knowledge is a key step in an effort to optimally incorporate artificial intelligence methods in a modeling and simulation framework. Fuzzy Inference Systems (FIS) are one of the most used applications of Fuzzy Logic and Fuzzy Sets The...