Modeling discrete event scalable network systems

Zengi̇n, Ahmet

doi:10.1016/j.ins.2010.10.023

Cited by 9 publications

(2 citation statements)

References 32 publications

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“…The Discrete-Event Simulation (DES), in particular, is one of the preferred research topics nowadays (Yoo, Cho, & Yücesan, 2010) for its ability to simulate production system and supply chain behaviors (Zengin, 2011;Zengin, Sarjoughian, & Ekiz, 2013). DES was often considered as a dynamic tool that allows the visualization and quantification of technological and operational changes in processes (Julie Yazici, 2005).…”

Section: Literature Reviewmentioning

confidence: 99%

Development of a Co-Simulation System as a Decision-Aid in Lean Tools Implementation

2018

Proceedings of the 50th Computer Simulation Conference

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Aside from the human and managerial skills necessary to propel any business, the right Lean deployment can play a big role in reducing waste and maximizing efficiency. Capturing these benefits is highly dependent on adequate Lean techniques integration. Companies shifting towards Lean conversion have tried one of many Lean Manufacturing optimization tools at their disposal today (JIT, Pull System, U cells, CrossTraining, Visual Management, SMED, Poka Yoke, etc.) hoping to capture the benefits of such conversion. One of the major hurdles these companies face is the difficulty to choose the Lean tools that best fit their economic contexts and that are best tailored towards reaching their productivity or quality milestones. The Discrete Event Simulation becomes an interesting approach, to imitate the evolution of a manufacturing system and to represent the transformation induced by the Lean tools integration in the manufacturing line. The system developed in this paper is a Co-Simulation system. It is built based on a two-level structure. The first level is a basic framework for modeling the manufacturing assembly line with its various components (using JaamSim), while the second is a hierarchical framework for executing parallel Lean Tools simulations (using MECSYCO). To demonstrate the usefulness of this Co-Simulation system, an example of an Aeronautic Assembly Line is used. Three Lean Configuration Scenarios are investigated under market fluctuation context (Batch Policy, Setup times reduction with SMED, Pull System), compared with an Actual model simulated as a Lean Free scenario.

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Section: Literature Reviewmentioning

confidence: 99%

Development of a Co-Simulation System as a Decision-Aid in Lean Tools Implementation

2018

Proceedings of the 50th Computer Simulation Conference

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“…Formal approaches improve the correctness of the routing protocols and modeling tools [13]. Nonformalized approaches result in low performance, bad scalability, difficulty with validation and experiments, and nonreusable products [14]. Among the discrete event methodologies, discrete event system specification (DEVS) formalism [15] enables the modeler to build highly formalized, system theoretic, and scalable network systems [14,16].…”

Section: Introductionmentioning

confidence: 99%

Discrete event simulation-based performance evaluation of Internet routing protocols

Çelik¹,

Zengi̇n²,

Çobanoğlu³

2013

Turk J Elec Eng & Comp Sci

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This paper presents a discrete event system specification (DEVS)-based comparative performance analysis between the open shortest path first (OSPF) protocol and the routing information protocol (RIP), together with the border gateway protocol (BGP), using DEVS-Suite. In order to evaluate the OSPF and RIP's scalability performance, several network models are designed and configured with the OSPF and RIP, in combination with the BGP.Evaluations of the proposed routing protocols are performed based on the metrics, such as the execution time, convergence time, turnaround time, throughput, and efficiency across an increasing size and complexity through the simulated network models. The evaluation results show that the OSPF routing protocol provides a better scalability performance than the RIP routing protocol for Internet applications.

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