Artikel mit Open-Access-Mandaten - Sandra D EksiogluWeitere Informationen
Nicht verfügbar: 3
Heuristic algorithms for inventory replenishment with perishable products and multiple transportation modes
G Palak, SD Ekşioğlu, J Geunes
IISE Transactions 50 (4), 345-365, 2018
Mandate: US Department of Transportation
Optimization Model for Streamlining of Biomass Processing Systems
D Liu, S Eksioglu, M Roni, FN Kucuksayacigil
IIE Annual Conference. Proceedings, 830-835, 2021
Mandate: US Department of Energy
Modeling and Optimization of Biomass Quality Variability in Biofuel Production
M Aboytes-Ojeda, KK Castillo-Villar, SD Eksioglu, MS Roni
IIE Annual Conference. Proceedings, 797-802, 2018
Mandate: US Department of Agriculture
Verfügbar: 19
A multi-objective, hub-and-spoke model to design and manage biofuel supply chains
MS Roni, SD Eksioglu, KG Cafferty, JJ Jacobson
Annals of Operations Research 249 (1), 351-380, 2017
Mandate: US National Science Foundation
Integrating biomass quality variability in stochastic supply chain modeling and optimization for large-scale biofuel production
KK Castillo-Villar, S Eksioglu, M Taherkhorsandi
Journal of cleaner production 149, 904-918, 2017
Mandate: US Department of Energy, US Department of Agriculture
Designing a reliable and dynamic multimodal transportation network for biofuel supply chains
M Marufuzzaman, SD Ekşioğlu
Transportation Science 51 (2), 494-517, 2017
Mandate: US National Science Foundation
A hybrid inventory management system responding to regular demand and surge demand
MS Roni, M Jin, SD Eksioglu
Omega 52, 190-200, 2015
Mandate: US Department of Energy
Managing congestion in supply chains via dynamic freight routing: An application in the biomass supply chain
M Marufuzzaman, SD Ekşioğlu
Transportation Research Part E: Logistics and Transportation Review 99, 54-76, 2017
Mandate: US National Science Foundation
Modeling and optimization of biomass quality variability for decision support systems in biomass supply chains
M Aboytes-Ojeda, KK Castillo-Villar, SD Eksioglu
Annals of Operations Research 314, 319-346, 2022
Mandate: US Department of Agriculture
A hybrid inventory policy with split delivery under regular and surge demand
MS Roni, SD Eksioglu, M Jin, S Mamun
International Journal of Production Economics 172, 126-136, 2016
Mandate: US Department of Energy
Discrete element modeling of switchgrass particles under compression and rotational shear
Y Guo, Q Chen, Y Xia, T Westover, S Eksioglu, M Roni
Biomass and Bioenergy 141, 105649, 2020
Mandate: US Department of Energy
Optimization models to integrate production and transportation planning for biomass co-firing in coal-fired power plants
SD Ekşioğlu, H Karimi, B Ekşioğlu
Iie Transactions 48 (10), 901-920, 2016
Mandate: US National Science Foundation
Analyzing tax incentives for producing renewable energy by biomass cofiring
H Karimi, SD Ekşioğlu, A Khademi
IISE Transactions 50 (4), 332-344, 2018
Mandate: US National Science Foundation
A biobjective chance constrained optimization model to evaluate the economic and environmental impacts of biopower supply chains
H Karimi, SD Ekşioğlu, M Carbajales-Dale
Annals of Operations Research 296 (1-2), 95-130, 2021
Mandate: US National Science Foundation
Learning to accelerate globally optimal solutions to the AC Optimal Power Flow problem
F Cengil, H Nagarajan, R Bent, S Eksioglu, B Eksioglu
Electric Power Systems Research 212, 2022
Mandate: US Department of Energy
Optimization Models for Integrated Biorefinery Operations
B Gulcan, SD Eksioglu, Y Song, M Roni, Q Chen
Optimization Letters 16 (3), 909-951, 2022
Mandate: US Department of Energy
A stochastic biomass blending problem in decentralized supply chains
SD Ekşioğlu, B Gulcan, M Roni, S Mason
Naval Research Logistics (NRL) 68 (4), 434-453, 2021
Mandate: US Department of Energy
Optimal Control of Biomass Feedstock Processing System Under Uncertainty in Biomass Quality
D Liu, S Eksioglu, M Roni
IEEE Transactions on Automation Science and Engineering 19 (3), 1645-1661, 2022
Mandate: US Department of Energy
Optimal control to handle variations in moisture content and reactor in-feed rate
F Kucuksayacigil, M Roni, SD Eksioglu, TH Bhuiyan, Q Chen
Energy 248, 123650, 2022
Mandate: US Department of Energy
Stochastic Models for an Optimal Blending of Biomass under Cost, Quality and Uncertainty Considerations
M Lu, J Qian, SD Ekşioğlu, MS Roni
Idaho National Lab.(INL), Idaho Falls, ID (United States), 2017
Mandate: US Department of Energy
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