loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Christophe Ponsard 1 ; Renaud De Landtsheer 1 ; Gustavo Ospina 1 ; Stephan Printz 2 and Johann Philipp von Cube 3

Affiliations: 1 CETIC Research Centre, Belgium ; 2 RWTH Aachen University, Germany ; 3 Fraunhofer Institute for Production Technology (IPT), Germany

Keyword(s): Discrete Event Simulation, Manufacturing, Supply Chain, Procurement Risks, Risk Management.

Related Ontology Subjects/Areas/Topics: Application Domains ; Discrete-Event Simulation ; Formal Methods ; Industrial Processes ; Plant Simulation ; Risk Analysis ; Simulation and Modeling ; Simulation Tools and Platforms ; Stochastic Modeling and Simulation

Abstract: Managing risks in supply chains is challenging for most companies, given the globalisation process which is strengthening the production constraints and also introducing more procurements risks. This is especially difficult for smaller companies because they generally lack resources to develop a specific expertise or buy expensive tools. Our research aims at addressing those issues by proposing an easy to use, yet powerful simulation framework based on Discrete Event Simulation. In our previous work we demonstrated the expressiveness of our modelling language and the efficiency of our simulation framework. The focus of this paper is on the usability dimension of the developed tool. We describe the global process driving the company through the whole risk control process, from identification, modelling, simulation and analysis. We demonstrate our ideas on a web-based prototype composed on a number of wizards and component supporting the structured analysis of simulation outcome in dir ect relation with the risks. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.234.6.167

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Ponsard, C.; De Landtsheer, R.; Ospina, G.; Printz, S. and von Cube, J. (2016). Query-based Risks Management of Manufacturing Processes. In Proceedings of the 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH; ISBN 978-989-758-199-1; ISSN 2184-2841, SciTePress, pages 339-344. DOI: 10.5220/0006011103390344

@conference{simultech16,
author={Christophe Ponsard. and Renaud {De Landtsheer}. and Gustavo Ospina. and Stephan Printz. and Johann Philipp {von Cube}.},
title={Query-based Risks Management of Manufacturing Processes},
booktitle={Proceedings of the 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH},
year={2016},
pages={339-344},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006011103390344},
isbn={978-989-758-199-1},
issn={2184-2841},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH
TI - Query-based Risks Management of Manufacturing Processes
SN - 978-989-758-199-1
IS - 2184-2841
AU - Ponsard, C.
AU - De Landtsheer, R.
AU - Ospina, G.
AU - Printz, S.
AU - von Cube, J.
PY - 2016
SP - 339
EP - 344
DO - 10.5220/0006011103390344
PB - SciTePress