Title
Chance-constrained stochastic programming under variable reliability levels with an application to humanitarian relief network design.
Abstract
•Study individual chance-constrained optimization models with variable reliability.•Balance the trade-off between the actual cost and the cost of reliability.•Hybrid stochastic approach with qualitative and quantitative aspects of risk.•Develop effective mixed-integer programming formulations.•Introduce a new risk-averse stochastic last mile relief network design problem.
Year
DOI
Venue
2018
10.1016/j.cor.2018.03.011
Computers & Operations Research
Keywords
Field
DocType
Stochastic programming,Risk-averse,Probabilistic constraints,Chance constraints,Variable reliability,Bonferroni approximation,Value-at-risk,Network design,Post-disaster,Humanitarian logistics,Accessibility,Equity
Decision variables,Mathematical optimization,Network planning and design,Last mile,Function type,Integer programming,Stochastic programming,Mathematics
Journal
Volume
ISSN
Citations 
96
0305-0548
1
PageRank 
References 
Authors
0.35
14
3
Name
Order
Citations
PageRank
Özgün Elçi110.35
Nilay Noyan218413.93
Kerem Bulbul3719.69