Seyed Hossein Hashemi Doulabi

Orcid: 0000-0002-7385-1274

According to our database1, Seyed Hossein Hashemi Doulabi authored at least 15 papers between 2010 and 2023.

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Bibliography

2023
Robust modelling and prediction of the COVID-19 pandemic in Canada.
Int. J. Prod. Res., December, 2023

Integrated consultation and chemotherapy scheduling with stochastic treatment times.
J. Oper. Res. Soc., September, 2023

A flexible robust model for blood supply chain network design problem.
Ann. Oper. Res., September, 2023

Stochastic weekly operating room planning with an exponential number of scenarios.
Ann. Oper. Res., September, 2023

2022
State-Variable Modeling for a Class of Two-Stage Stochastic Optimization Problems.
INFORMS J. Comput., 2022

Two-stage robust optimization for perishable inventory management with order modification.
Expert Syst. Appl., 2022

Designing a hybrid reinforcement learning based algorithm with application in prediction of the COVID-19 pandemic in Quebec.
Ann. Oper. Res., 2022

2021
Exploiting the Structure of Two-Stage Robust Optimization Models with Exponential Scenarios.
INFORMS J. Comput., 2021

Gradient-based grey wolf optimizer with Gaussian walk: Application in modelling and prediction of the COVID-19 pandemic.
Expert Syst. Appl., 2021

Operating room planning with multiple downstream units.
Proceedings of the International IEEE Conference on Prognostics and Health Management, 2021

2020
Vehicle Routing Problems with Synchronized Visits and Stochastic Travel and Service Times: Applications in Healthcare.
Transp. Sci., 2020

2016
A Constraint-Programming-Based Branch-and-Price-and-Cut Approach for Operating Room Planning and Scheduling.
INFORMS J. Comput., 2016

2014
A Constraint Programming-Based Column Generation Approach for Operating Room Planning and Scheduling.
Proceedings of the Integration of AI and OR Techniques in Constraint Programming, 2014

2013
Lower and upper bounds for location-arc routing problems with vehicle capacity constraints.
Eur. J. Oper. Res., 2013

2010
Choosing the appropriate order in fuzzy time series: A new N-factor fuzzy time series for prediction of the auto industry production.
Expert Syst. Appl., 2010


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