Investigating a citrus fruit supply chain network considering CO2 emissions using meta-heuristic algorithms

Fariba Goodarzian; Vikas Kumar; Peiman Ghasemi

doi:10.1007/s10479-022-05005-7

Investigating a citrus fruit supply chain network considering CO₂ emissions using meta-heuristic algorithms

Fariba Goodarzian, Vikas Kumar^*, Peiman Ghasemi

^*Corresponding author for this work

Faculty of Business, Law and Social Sciences

Research output: Contribution to journal › Article › peer-review

20 Citations (SciVal)

Original language	English
Journal	Annals of Operations Research
DOIs	https://doi.org/10.1007/s10479-022-05005-7
Publication status	Accepted/In press (AAM) - 2022

Keywords

Citrus fruit agri-food supply chain network
CO emissions
Mathematical model
Meta-heuristic algorithms

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10.1007/s10479-022-05005-7

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title = "Investigating a citrus fruit supply chain network considering CO2 emissions using meta-heuristic algorithms",

keywords = "Citrus fruit agri-food supply chain network, CO emissions, Mathematical model, Meta-heuristic algorithms",

author = "Fariba Goodarzian and Vikas Kumar and Peiman Ghasemi",

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year = "2022",

doi = "10.1007/s10479-022-05005-7",

language = "English",

journal = "Annals of Operations Research",

issn = "0254-5330",

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T1 - Investigating a citrus fruit supply chain network considering CO2 emissions using meta-heuristic algorithms

AU - Goodarzian, Fariba

AU - Kumar, Vikas

AU - Ghasemi, Peiman

PY - 2022

Y1 - 2022

KW - Citrus fruit agri-food supply chain network

KW - CO emissions

KW - Mathematical model

KW - Meta-heuristic algorithms

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DO - 10.1007/s10479-022-05005-7

M3 - Article

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SN - 0254-5330

JO - Annals of Operations Research

JF - Annals of Operations Research

ER -

Investigating a citrus fruit supply chain network considering CO₂ emissions using meta-heuristic algorithms

Keywords

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