About: Chapter 4 Modeling Risks in Supply Chains

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Chapter 4 Modeling Risks in Supply Chains
Creator	Sheffi, Yossi
Source	Elsevier; PMC
abstract	Abstract This chapter discusses ways to identify, categorize, and assess risks in supply chains. It pays particular attention to the often hidden risks that can lurk deep within global supply chains. Using case studies, the chapter shows how companies assess and prioritize supplier risks, and it explains the underlying factors that give rise to deep-chain risks. The sweep of examples in the chapter shows that companies can model the likelihood and impacts of a wide range of risks to their facilities, suppliers, and logistics infrastructure.
has issue date	2018-12-31(xsd:dateTime)
bibo:doi	10.1016/b978-0-12-813830-4.00003-4
has license	els-covid
sha1sum (hex)	5d8465c31b2ac7f410aa07470c3670362e708307
schema:url	https://doi.org/10.1016/b978-0-12-813830-4.00003-4
resource representing a document's title	Chapter 4 Modeling Risks in Supply Chains
has PubMed Central identifier	PMC7148736
schema:publication	Finance and Risk Management for International Logistics and the Supply Chain
resource representing a document's body	covid:5d8465c31b2ac7f410aa07470c3670362e708307#body_text
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