Skip to Main content Skip to Navigation
Conference papers

Handling Uncertainties in Production Network Design

Abstract : Decision making in production network design is complex due to a large number of influencing factors, options and uncertainties. Furthermore, the agility in production networks and therefore the decision demand increases while made decisions are often hard to revise. Hence, a fast yet holistic decision-making process is key for sustainable production network development. While many existing approaches target the overall network optimization, few of them include a systematic approach to cover uncertainty and barely any approaches cover the uncertainty of information and models used for the decision-making. In praxis, these approaches result in unsystematic and time-consuming decision-making processes. This paper presents an approach to take uncertainty systematically into consideration and splits it into internal uncertainty, which can be reduced by the decision maker, and external uncertainty, which has to be considered in the sensitivity analysis. The method was applied for the site selection of an automotive supplier.
Document type :
Conference papers
Complete list of metadata

Cited literature [21 references]  Display  Hide  Download

https://hal.inria.fr/hal-02460465
Contributor : Hal Ifip <>
Submitted on : Thursday, January 30, 2020 - 10:12:56 AM
Last modification on : Thursday, January 30, 2020 - 10:22:57 AM

File

 Restricted access
To satisfy the distribution rights of the publisher, the document is embargoed until : 2022-01-01

Please log in to resquest access to the document

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Günther Schuh, Jan-Philipp Prote, Andreas Gützlaff, Sebastian Henk. Handling Uncertainties in Production Network Design. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2019, Austin, TX, United States. pp.43-50, ⟨10.1007/978-3-030-29996-5_5⟩. ⟨hal-02460465⟩

Share

Metrics

Record views

378