A Supply Chain Risk Index Estimation Methodological Framework Using Exposure Assessment View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2017-08-22

AUTHORS

Arij Lahmar , François Galasso , Habib Chabchoub , Jacques Lamothe

ABSTRACT

The objective of this article is to move a step forward towards the general knowledge about how to manage supply chain risks by developing a theoretical risk index using exposure analysis. Two questions “why logistics systems are exposed to risks? to which type of risk, a supply chain organization is exposed to?” have to be raised and investigated. The answers to these questions will be used as a basis for the risk index methodology, which allows organizations to assess their exposure level and also to identify which type of risk they need to deal with it. The results of previous step will be computed into a supply chain risk index. To achieve our objective, the article is organized as follows: Sect. 2 provides a brief literature review to position the proposed model against other existing theoretical models. Section 3 provides the methodology used to develop our approach. Section 4 presents the conclusion, limitations and future research. More... »

PAGES

507-514

References to SciGraph publications

Book

TITLE

Collaboration in a Data-Rich World

ISBN

978-3-319-65150-7
978-3-319-65151-4

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-65151-4_45

DOI

http://dx.doi.org/10.1007/978-3-319-65151-4_45

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1091298336


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