Cited by 108Forest Biomass Utilization and ManagementVehicle Routing Optimization MethodsProcess Optimization and Integration

A bi-objective stochastic location-inventory-routing model for microalgae-based biofuel supply chain

Asadi, Ehsan, Habibi, Farhad, Nickel, Stefan, Sahebi, Hadi·2018·Applied Energy

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Crossref · 10.1016/j.apenergy.2018.07.067

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2 of 2 references verified0 citation errors · 0 not checkable

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  • So far, only the studies of Asadi et al. (2018) and Arabi et al. (2019) considered explicitly the site suitability of microalgae cultivation.

    “So far, only the studies of Asadi et al. (2018) and Arabi et al. (2019)considered explicitly the site suitability of microalgae cultivation.”
  • All these studies dealt with minimization of cost, while only the studies of Asadi et al. (2018) and Ubando et al. (2014) considered minimization of environmental footprints.

    “All these studies dealt with minimization of cost, while only the studies of Asadi et al. (2018) and Ubando et al. (2014) considered minimization of environmental footprints.”

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Authors
Asadi, E., Habibi, F., Nickel, S., & Sahebi, H.
Affiliations
  • Iran University of Science and Technology (IR)
  • Karlsruhe Institute of Technology (DE)
Corresponding author
Sahebi, Hadi
Venue
Applied Energy
Publisher
Elsevier BV
Published
2018-10
Volume
228
Pages
2235-2261
ISSN
0306-2619 (ISSN-L)
OpenAlex
W2884098475
Cited by
108
References
2
Citations by year
2026: 8 · 2025: 12 · 2024: 18 · 2023: 9 · 2022: 21 · 2021: 19 · 2020: 14 · 2019: 7
FWCI
6.42
Type
journal article
Language
en
Open access
closed
Locations
  • Applied Energy (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Physical Sciences › Engineering › Mechanics of Materials › Forest Biomass Utilization and Management
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Vehicle Routing Optimization Methods
  • Physical Sciences › Engineering › Control and Systems Engineering › Process Optimization and Integration
Keywords
microalgal biofuels, biofuel supply chain, location-inventory-routing problem, bi-objective optimization, stochastic programming, parameter uncertainty, queueing systems, CO2 emissions, multi-objective metaheuristics, multi-objective particle swarm optimization, NSGA-II, Taguchi parameter tuning, facility location, inventory management

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