EconPapers    
Economics at your fingertips  
 

Identifying, analyzing, and assessing risk in the strategic planning of a production network: the practical view of a German car manufacturer

Marius Häntsch () and Arnd Huchzermeier ()

Metrika: International Journal for Theoretical and Applied Statistics, 2013, vol. 24, issue 2, 125-158

Abstract: This paper addresses the issue of identifying and assessing risk relevant to production networks. The objective is to create a systematic, comprehensive record of the risks relevant to the planning of car manufacturer’s production networks and to analyze these risks. The paper also discusses the methodology for assessing relevant risk in terms of the probability that the risk will materialize and the scale of the potential loss. A further objective is to assess the options for mitigating the risk through the use of a flexibly structured production network and to evaluate the associated options for responding to a change in market conditions. A case study demonstrates the possible impact of the main risk factors on performance if the organization concerned does not build flexibility into the network. Copyright Springer-Verlag Berlin Heidelberg 2013

Keywords: Risk assessment; Risk identification; Supply chain; Production network; Flexible production network (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://hdl.handle.net/10.1007/s00187-013-0178-y (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:metrik:v:24:y:2013:i:2:p:125-158

Ordering information: This journal article can be ordered from
http://www.springer.com/statistics/journal/184/PS2

DOI: 10.1007/s00187-013-0178-y

Access Statistics for this article

Metrika: International Journal for Theoretical and Applied Statistics is currently edited by U. Kamps and Norbert Henze

More articles in Metrika: International Journal for Theoretical and Applied Statistics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:metrik:v:24:y:2013:i:2:p:125-158