Input data management in simulation – Industrial practices and future trends

Skoogh, Anders; Perera, Terrence; Johansson, Björn

doi:10.1016/j.simpat.2012.07.009

Cited by 46 publications

(41 citation statements)

References 17 publications

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“…The KE tool is being developed as analogous to the third method presented in [8]. The case study presented should be considered as proof of the KE tool for the automation of input data for DES.…”

Section: Discussionmentioning

confidence: 99%

“…Skoogh, Perera and Johansson [8] tackled the issue of time-consumption in input data management. This study describes four different methods to input the needed data to DES projects (see Fig.…”

Section: Input Data Management In Desmentioning

confidence: 99%

“…Note that the KE tool is not aimed to achieve the functionality requirements of COTS (Commercial off-the-shelf) software. It is developed as an OS tool to facilitate the automation of the input data management process in DES projects, similar to the intermediary database approach (third method) presented in Skoogh, Perera and Johansson [8]. The paper is also targets to attract simulation practitioners to use the functionalities of the KE tool and of course users with programming expertise to contribute in this project adding more functionalities covering in essence the OS nature of the tool.…”

Section: Introductionmentioning

confidence: 99%

“…As it is highlighted in the Introduction in Section 1 the tool is developed as an OS tool that supports the input data management for DES. The KE tool is designed and developed as analogous to the intermediary simulation database [8] (approach 3 in Fig. 1).…”

Section: Introduction Of the Ke Toolmentioning

confidence: 99%

See 3 more Smart Citations

An Open Source Tool for Automated Input Data in Simulation

Barlas¹,

Heavey²,

Dagkakis³

2015

Int. j. simul. model.

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Discrete Event Simulation (DES) is one of the most effective tools for planning, designing and improving material flows in production. One of the main weaknesses of operating DES is the exertion needed and costs spent on collecting and handling the input data from different organisation's data resources. To tackle the problem of the time consuming input data process for DES projects an Open Source (OS) tool, called Knowledge Extraction (KE) tool was developed. The tool reads data from several organisations' resources; analyses it and outputs it in a format that is applicable to be used by a simulation tool, all conducted in one automated process. The primary, readable to simulation software, output format follows the Core Manufacturing Simulation Data (CMSD). This paper presents the KE tool and a test implementation, as a first step towards the validation of the tool in a real case study in the medical industry.

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Section: Discussionmentioning

confidence: 99%

Section: Input Data Management In Desmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introduction Of the Ke Toolmentioning

confidence: 99%

See 2 more Smart Citations

An Open Source Tool for Automated Input Data in Simulation

Barlas¹,

Heavey²,

Dagkakis³

2015

Int. j. simul. model.

View full text Add to dashboard Cite

show abstract

“…This semi-automatic methodology is not unknown for the generation of simulation data. Skoogh et al in their paper [11] summarize methods for input data management in simulations and defined for the above four groups.…”

Section: Specialities Of the Data Interfacementioning

confidence: 99%

Conception an Intelligent Node Architecture for Intralogistics

Bohács¹,

Gaspar²,

Kánya³

2018

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Intralogistics makes up an important part of the supply chains some call it the 'heart of the logistics'. Lately the appearance of cyber-physical systems has been caused significant changes in this area, enabling not only a set of interconnected devices, but let new concepts to be implemented. This paper presents a novel control structure between the centralized and decentralized concepts -the so called intelligent node -which opens new possibilities for local control of intralogistics processes. The paper surveys possible connection of the intelligent node to the simulation based digital twin.

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Supporting Linked Engineering Data Management of Smart Product Systems Through Semantic Platform Services

Gries

Eickhoff

Eiden

et al. 2020

Product Lifecycle Management Enabling Smart X

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The increasing industrial relevance of connected smart product systems, enhanced individualized customer requirements, regulatory boundary conditions as well as advanced value networks and volatile international markets determine a new level of engineering complexity. Current engineering processes are enabled by a large number of IT applications, which are partially orchestrated by product lifecycle management solutions. Considering the dramatically increasing complexity, the IT applications are often not adequately connected as a whole, leading to interruptions in the process chains and finally resulting in quality problems, time expenditure, and additional costs.To support seamless engineering processes, a sufficiently linked information system structure is necessary. Due to the often-existing best-of-breed solutions and historically grown IT infrastructures, the direct point-to-point coupling of IT systems among each other requires disproportionately high efforts. As an approach to improve the existing situation, integration platforms utilizing loose coupling of individual heterogeneous engineering IT applications by semantic web technologies could be used to create a comprehensive, linked engineering data structure.This paper presents a conceptual IT-Service approach that utilizes this linked data structure to address problems in the area of information retrieval, data exchange, and data quality. A fundamental service function enables easy access to the information scattered throughout the whole organization. This approach could contribute to a high level of transparency within the company's internal processes and relationships between data across individual engineering IT applications. The proposed concepts for IT platform services facilitate the exchange of data between different software applications and the standardized checking and documentation of data quality.

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Input data management in simulation – Industrial practices and future trends

Cited by 46 publications

References 17 publications

An Open Source Tool for Automated Input Data in Simulation

An Open Source Tool for Automated Input Data in Simulation

Conception an Intelligent Node Architecture for Intralogistics

Supporting Linked Engineering Data Management of Smart Product Systems Through Semantic Platform Services

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