Risk Identification

ManMohan S. Sodhi and Christopher S. Tang
Additional contact information
ManMohan S. Sodhi: City University
Christopher S. Tang: University of California, Los Angeles

Chapter Chapter 2 in Managing Supply Chain Risk, 2012, pp 13-32 from Springer

Abstract: Abstract As a first step to managing supply chain risks, this chapter focuses on ways to identify and categorize risks. First, as a way to distinguish causes from effects, drivers from consequences, risks whose consequences are apparent soon after an incident from those whose consequences are spread over months, and risks that have already materialized from incidents that might happen in the future, we present a “butterfly” model that conceptually separates underlying causes, actual events and consequences. Second, keeping in mind who should manage supply chain risk, we categorize risks in a way that follows the supply chain organization. Most companies have different groups facing the supply side (purchasing), those working in internal processes (manufacturing, storage and internal distribution), and those facing the demand side (distribution and sales). Therefore, we categorize risk motivated by the supply chain management organization: supply risks, process risks, and demand risks.

Keywords: Supply Chain; Risk Event; Excess Capacity; Global Supply Chain; Bullwhip Effect (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:isochp:978-1-4614-3238-8_2

Ordering information: This item can be ordered from
http://www.springer.com/9781461432388

DOI: 10.1007/978-1-4614-3238-8_2

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().