Simulation in Production and Logistics: Trends, Solutions and Applications

Wenzel, Sigrid; Boyaci, Pinar; Jessen, Ulrich

doi:10.1007/978-3-642-12494-5_7

Cited by 14 publications

(5 citation statements)

References 13 publications

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“…Discrete Event Simulation (DES) has been used as a well-established method for analyzing dynamical interdependencies and stochastic processes in production and logistics systems since more than twenty five years (Wenzel et al 2010). Automotive, aircraft, shipbuilding and semiconductor industry as well as supply chain management and healthcare logistics or call centres are typical industrial application domains.…”

Section: Discrete Event Simulationmentioning

confidence: 99%

A comparison of the usage of different approaches for the management of plant engineering projects

Jessen¹,

Moller²,

Wenzel³

et al. 2015

2015 Winter Simulation Conference (WSC)

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Customized planning. engineering and construction of one-of-a-kind products (like wind energy. biogas or power plants) are complex and contain a lot of risks and temporal uncertainties. e.g. of logistics and project schedules. Therefore the management of this kind of projects has to be supported by adequate methods for the estimation of project risks and uncertainties. Based on the results of the joint research project simject of the Universities of Paderborn and Kassel. which aims at the development of a demonstrator for simulation-based and logistic-integrated project planning and scheduling. this paper discusses the usage of different approaches for supporting project management of plant engineering projects. After a short introduction and description of the approaches to be compared a wind energy plant as evaluation model as well as the application of the different methods are presented. Additionally. the usage of the approaches is compared and the advantages and disadvantages are pointed out. 1 978-1-4673-9743-8/15/$31.00 ©2015 IEEE

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Section: Discrete Event Simulationmentioning

confidence: 99%

A comparison of the usage of different approaches for the management of plant engineering projects

Jessen¹,

Moller²,

Wenzel³

et al. 2015

2015 Winter Simulation Conference (WSC)

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“…A simulation can be defined as the investigation of a real process based on its model in a simulation system. The simulation results can be applied to every element of the real logistics system and at all stages of the process [6]. In contrast, the use of mathematical models to optimize complex processes is not very efficient, and sometimes it is even impossible [7].…”

Section: Introductionmentioning

confidence: 99%

Use of a Software Application to Generate a Sequence for Simulation Model Creation

et al. 2023

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The use of simulation models is currently a necessity, considering the complexity of the problems solved in many areas of engineering and scientific work (including logistics). This fact places high demands on their creation, use, and possible modification. When implementing simulation models, we often encounter limitations (depending on the software used), for which an effective solution is the application of the additional programming method. However, the method’s implementation is often associated with problems, the solution to which is, for example, the use of third-party services. Ultimately, this is an effective but lengthy process. The paper presents a new approach to the method of additional programming, which is based on using an addressable software application as a tool for generating sequences according to defined input parameters. The research was carried out using the simulation software Tecnomatix Plant Simulation and the software tool Simtalk, which is part of it.

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“…In recent years, discrete-event simulation has been established as an important methodology in various domains (Wenzel, Boyaci, and Jessen 2010). In particular in the automotive industry, simulation is used to plan, to control, and to monitor processes including the flow of material and information (Mayer and Spieckermann 2010).…”

Section: Introductionmentioning

confidence: 99%

Towards assisted input and output data analysis in manufacturing simulation: The EDASim approach

Bogon

Timm

Jessen

et al. 2012

Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)

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Discrete-event simulation has been established as an important methodology in various domains. In particular in the automotive industry, simulation is used to plan, control, and monitor processes including the flow of material and information. Procedure models help to perform simulation studies in a structured way and tools for data preparation or statistical analysis provide assistance in some phases of simulation studies. However, there is no comprehensive data assistance following all phases of such procedure models. In this article, a new approach combining assistance functionalities for input and output data analysis is presented. The developed tool -EDASim -focuses on supporting the user in selection, validation, and preparation of input data as well as to assist the analysis of output data. The proposed methods have been implemented and initial evaluations of the concepts have led to promising feedback from practitioners.

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Simulation in Production and Logistics: Trends, Solutions and Applications

Cited by 14 publications

References 13 publications

A comparison of the usage of different approaches for the management of plant engineering projects

A comparison of the usage of different approaches for the management of plant engineering projects

Use of a Software Application to Generate a Sequence for Simulation Model Creation

Towards assisted input and output data analysis in manufacturing simulation: The EDASim approach

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