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Controlling risk and demand ambiguity in newsvendor models
Hamed Rahimian
, Güzin Bayraksan
,
Tito Homem-de-Mello
Business School
Research output
:
Contribution to journal
›
Article
›
peer-review
43
Scopus citations
Overview
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Keyphrases
Distributionally Robust Optimization
100%
Demand Ambiguity
100%
Newsvendor Model
100%
Ambiguity Set
100%
Robust Optimization
66%
Risk-neutral
66%
Risk Aversion
33%
Health Problems
33%
Optimal Cost
33%
Decision Maker
33%
Risk Level
33%
Expected Cost
33%
Single Product
33%
Maximum Distance
33%
Demand Distribution
33%
Cardiovascular Surgery
33%
Operating Room Time
33%
Stochastic Programming
33%
Quantitative Relationship
33%
Unknown Demand
33%
Explicit Formula
33%
Order Quantity
33%
Multi-product
33%
Total Variation
33%
Newsvendor Problem
33%
Managerial Relevance
33%
Mathematics
Stochastics
100%
Worst Case
100%
Minimizes
100%
Decision Maker
100%
Risk Aversion
100%
Explicit Formula
100%
Total Variation
100%
INIS
levels
100%
demand
100%
risks
100%
optimization
100%
distribution
80%
cost
40%
variations
20%
solutions
20%
distance
20%
reserves
20%
stochastic processes
20%
surgery
20%
programming
20%
Computer Science
Distributionally Robust Optimization
100%
Robust Optimization
66%
Decision Maker
33%
Stochastic Programming
33%
Total Variation
33%
Explicit Formula
33%
Economics, Econometrics and Finance
Inventory Model
100%
Robust Statistics
100%
Order Quantity
20%