EconPapers    
Economics at your fingertips  
 

A Robust Decision-Making Under Disruption Risks

Tadeusz Sawik

Chapter Chapter 8 in Supply Chain Disruption Management Using Stochastic Mixed Integer Programming, 2018, pp 211-236 from Springer

Abstract: Abstract In this chapter we look for an equitably efficient solution with respect to both average-case and worst-case performance measures of a supply chain.

Keywords: Worst-case Performance Measure; Conditional Value At Risk (CVaR); Risk-averse Solutions; Supply Portfolio; Equitably Optimize (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:

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

Related works:
Chapter: A Robust Decision-Making under Disruption Risks (2020)
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:978-3-319-58823-0_8

Ordering information: This item can be ordered from
http://www.springer.com/9783319588230

DOI: 10.1007/978-3-319-58823-0_8

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 ().

 
Page updated 2025-04-01
Handle: RePEc:spr:isochp:978-3-319-58823-0_8