Correction to: Investigating a citrus fruit supply chain network considering CO2 emissions using meta-heuristic algorithms (Annals of Operations Research, (2022), 10.1007/s10479-022-05005-7)

Fariba Goodarzian; Vikas Kumar; Peiman Ghasemi

doi:10.1007/s10479-023-05268-8

Correction to: Investigating a citrus fruit supply chain network considering CO₂ emissions using meta-heuristic algorithms (Annals of Operations Research, (2022), 10.1007/s10479-022-05005-7)

Fariba Goodarzian, Vikas Kumar^*, Peiman Ghasemi

^*Corresponding author for this work

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Research output: Contribution to journal › Comment/debate › peer-review

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Abstract

This correction is published as several notations were overlooked by typesetter during proofing. Original article has been corrected.

Original language	English
Article number	1
Pages (from-to)	1301
Number of pages	1
Journal	Annals of Operations Research
Volume	332
Issue number	1
DOIs	https://doi.org/10.1007/s10479-023-05268-8
Publication status	Published - 16 Mar 2023

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10.1007/s10479-023-05268-8Licence: CC BY

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title = "Correction to: Investigating a citrus fruit supply chain network considering CO2 emissions using meta-heuristic algorithms (Annals of Operations Research, (2022), 10.1007/s10479-022-05005-7)",

abstract = "This correction is published as several notations were overlooked by typesetter during proofing. Original article has been corrected.",

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

note = "Publisher Copyright: {\textcopyright} The Author(s) 2023.",

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language = "English",

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Correction to: Investigating a citrus fruit supply chain network considering CO₂ emissions using meta-heuristic algorithms (Annals of Operations Research, (2022), 10.1007/s10479-022-05005-7). / Goodarzian, Fariba; Kumar, Vikas; Ghasemi, Peiman.
In: Annals of Operations Research, Vol. 332, No. 1, 1, 16.03.2023, p. 1301.

Research output: Contribution to journal › Comment/debate › peer-review

TY - JOUR

T1 - Correction to: Investigating a citrus fruit supply chain network considering CO2 emissions using meta-heuristic algorithms (Annals of Operations Research, (2022), 10.1007/s10479-022-05005-7)

AU - Goodarzian, Fariba

AU - Kumar, Vikas

AU - Ghasemi, Peiman

PY - 2023/3/16

Y1 - 2023/3/16

N2 - This correction is published as several notations were overlooked by typesetter during proofing. Original article has been corrected.

AB - This correction is published as several notations were overlooked by typesetter during proofing. Original article has been corrected.

UR - https://www.scopus.com/pages/publications/85150033622

U2 - 10.1007/s10479-023-05268-8

DO - 10.1007/s10479-023-05268-8

M3 - Comment/debate

AN - SCOPUS:85150033622

SN - 0254-5330

VL - 332

SP - 1301

JO - Annals of Operations Research

JF - Annals of Operations Research

IS - 1

M1 - 1

ER -

Correction to: Investigating a citrus fruit supply chain network considering CO2 emissions using meta-heuristic algorithms (Annals of Operations Research, (2022), 10.1007/s10479-022-05005-7)

Abstract

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Correction to: Investigating a citrus fruit supply chain network considering CO₂ emissions using meta-heuristic algorithms (Annals of Operations Research, (2022), 10.1007/s10479-022-05005-7)