Automated input data management: evaluation of a concept for reduced time consumption in discrete event simulation

Skoogh, Anders; Johansson, Björn; Stahre, Johan

doi:10.1177/0037549712443404

Cited by 32 publications

(18 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In contrast to [18] the major advantage of this tool is that it is OS (GNU Lesser General Public License (LGPL)), so easily accessible by anyone interested in developing the concept of automating simulation input data. The KE tool is also developed using Python, a language that is widely being used by scientist due to the ease of programming [27].…”

Section: Discussionmentioning

confidence: 99%

“…They suggested the use of CMSD, designed by the Simulation Interoperability Standards Organization (SISO) [16] in order to support the identification and decision of the parameters required for the simulation application. A more generic input data methodology is proposed by Bengtsson et al [17], which uses the GDMTool [18] that implements CMSD.…”

Section: Input Data Management In Desmentioning

confidence: 99%

See 1 more Smart Citation

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

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.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Input Data Management In Desmentioning

confidence: 99%

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

“…FACTS is a research project that finished in March 2008 [19], which resulted in two tools, one of them is the GDMTool [20]. The GDM-Tool aim is aimed to allow the automatic integration of production data into the DES models stored in different IT-systems at companies [21].…”

Section: Cmsd Related Researchmentioning

confidence: 99%

Test Implementation and Initialisation of a Simulation Model Using CMSD

et al. 2014

View full text Add to dashboard Cite

This paper describes a test implementation of the Core Manufacturing Simulation Data (CMSD) information model and the integration and initialisation of a simulation model in a newly developed Simulation Engine. The cost of developing, implementing and using simulation technology is high. The costs of integrating simulation models with other manufacturing applications are even higher. There is always a need to enable data exchange and sharing between simulation applications and other software applications. The idea of the CMSD effort is to facilitate the above using neutral, reusable data structures for managing actual production operations and for simulating the performance of the manufacturing system. To address the problem of time consuming pre-coding for DES projects, a knowledge extraction tool is currently being developed. The knowledge extraction tool will read data from several resources of an organisation and output it in a format that is applicable for simulation purposes. The format that we adopted follows the CMSD standard in order to describe simulation related data. In this paper we present the modelling of a complex production line of our industrial partner with the CMSD standard and the development of the translator in ManPy so that it can read the CMSD information model and run the simulation.

show abstract

“…Translating among these interfaces is time consuming. For example, (Skoogh 2009) showed that more than 30% of the total time to develop simulation models is spent on gathering, extracting, and processing data. To facilitate application interoperability, SPAF will provide a common method for describing and encoding SM process information.…”

Section: The Need For the Proposed Frameworkmentioning

confidence: 99%

A framework for interoperable sustainable manufacturing process analysis applications development

Shao

Riddick

Lee

et al. 2012

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

View full text Add to dashboard Cite

Sustainable manufacturing (SM) continues to grow in importance. However, analysis tools to assess the sustainability performance of SM processes are difficult to verify and validate. Additionally, the ability to share and reuse SM information is hampered by a lack of (1) standards to represent that information, (2) interoperability among the engineering applications that use that information, and (3) consistency across the current approaches for modeling that information. This paper focuses on an integrated approach required to address these limitations, proposing a framework that will enable sustainable manufacturing process analysis applications to be developed by manufacturers. The framework will facilitate the developing of analysis platforms and sustainable manufacturing information models by enabling the integration of simulation and optimization model components to analyze processes at different operational levels. An example is provided to illustrate the framework.

show abstract

Automated input data management: evaluation of a concept for reduced time consumption in discrete event simulation

Cited by 32 publications

References 26 publications

An Open Source Tool for Automated Input Data in Simulation

An Open Source Tool for Automated Input Data in Simulation

Test Implementation and Initialisation of a Simulation Model Using CMSD

A framework for interoperable sustainable manufacturing process analysis applications development

Contact Info

Product

Resources

About