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1
Simulation optimization: a review of algorithms and applications
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Simulation optimization: a review of algorithms and applications

Amaran, Satyajith ; Sahinidis, Nikolaos V. ; Sharda, Bikram ; Bury, Scott J.

Annals of operations research, 2016-05, Vol.240 (1), p.351-380 [Periódico revisado por pares]

New York: Springer US

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2
Reliability analysis of multi-state systems with common cause failures based on Bayesian network and fuzzy probability
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Reliability analysis of multi-state systems with common cause failures based on Bayesian network and fuzzy probability

Li, Yan-Feng ; Huang, Hong-Zhong ; Mi, Jinhua ; Peng, Weiwen ; Han, Xiaomeng

Annals of operations research, 2022-04, Vol.311 (1), p.195-209 [Periódico revisado por pares]

New York: Springer US

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3
Designing an efficient blood supply chain network in crisis: neural learning, optimization and case study
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Designing an efficient blood supply chain network in crisis: neural learning, optimization and case study

Khalilpourazari, Soheyl ; Soltanzadeh, Shima ; Weber, Gerhard-Wilhelm ; Roy, Sankar Kumar

Annals of operations research, 2020-06, Vol.289 (1), p.123-152 [Periódico revisado por pares]

New York: Springer US

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4
Fast and efficient computation of directional distance estimators
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Fast and efficient computation of directional distance estimators

Daraio, Cinzia ; Simar, Léopold ; Wilson, Paul W.

Annals of operations research, 2020-05, Vol.288 (2), p.805-835 [Periódico revisado por pares]

New York: Springer US

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5
Developing a robust stochastic model for designing a blood supply chain network in a crisis: a possible earthquake in Tehran
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Developing a robust stochastic model for designing a blood supply chain network in a crisis: a possible earthquake in Tehran

Salehi, Faraz ; Mahootchi, Masoud ; Husseini, Seyed Mohammad Moattar

Annals of operations research, 2019-12, Vol.283 (1-2), p.679-703 [Periódico revisado por pares]

New York: Springer US

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6
A methodology for developing evidence-based optimization models in humanitarian logistics
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A methodology for developing evidence-based optimization models in humanitarian logistics

Baharmand, Hossein ; Vega, Diego ; Lauras, Matthieu ; Comes, Tina

Annals of operations research, 2022-12, Vol.319 (1), p.1197-1229 [Periódico revisado por pares]

New York: Springer US

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7
Dynamic-R: a “challenge-free” method for rating problem statements
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Dynamic-R: a “challenge-free” method for rating problem statements

Raboun, Oussama ; Chojnacki, Eric ; Tsoukiàs, Alexis

Annals of operations research, 2023-06, Vol.325 (2), p.845-873 [Periódico revisado por pares]

New York: Springer US

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8
Coordination of production and ordering policies under capacity disruption and product write-off risk: an analytical study with real-data based simulations of a fast moving consumer goods company
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Coordination of production and ordering policies under capacity disruption and product write-off risk: an analytical study with real-data based simulations of a fast moving consumer goods company

Ivanov, Dmitry ; Rozhkov, Maxim

Annals of operations research, 2020-08, Vol.291 (1-2), p.387-407 [Periódico revisado por pares]

New York: Springer US

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9
A review of operations research models in invasive species management: state of the art, challenges, and future directions
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A review of operations research models in invasive species management: state of the art, challenges, and future directions

Büyüktahtakın, İ. Esra ; Haight, Robert G.

Annals of operations research, 2018-12, Vol.271 (2), p.357-403 [Periódico revisado por pares]

New York: Springer US

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10
A supply chain network game theory model of cybersecurity investments with nonlinear budget constraints
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A supply chain network game theory model of cybersecurity investments with nonlinear budget constraints

Nagurney, Anna ; Daniele, Patrizia ; Shukla, Shivani

Annals of operations research, 2017, Vol.248 (1-2), p.405-427 [Periódico revisado por pares]

New York: Springer US

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