A multi-objective linear optimization model for designing sustainable closed-loop agricultural supply chain

Hossein Reyhani Yamchi; Younis Jabarzadeh; Nader Ghaffarinasab; Vikas Kumar; Jose Arturo Garza-Reyes

A multi-objective linear optimization model for designing sustainable closed-loop agricultural supply chain

Hossein Reyhani Yamchi, Younis Jabarzadeh, Nader Ghaffarinasab, Vikas Kumar, Jose Arturo Garza-Reyes

Directorate

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Demand for agricultural products will grow by nearly 70 percent in 2050 and high volume of chemical pesticides and agricultural fertilizers along with considerable waste in this sector induces serious environmental concerns. Hence it is not a priority but a necessity to modify unsustainable procedures to make them sustainable. The aim of this study is developing and analyzing a multi-objective (MO) linear mathematical model for sustainable close-loop agricultural supply chain (CLASC) with a deteriorating product to determine (1) the optimal flow to every echelon and (2) the optimal location of some facilities to achieve three objectives: reducing costs and carbon dioxide (CO2) emissions throughout the proposed supply chain (SC) network, and increasing the responsiveness. Finally, a numerical example is used to evaluate the optimization model.

Original language	English
Title of host publication	Proceedings of the International Conference on Industrial Engineering and Operations Management Dubai, UAE, March 10-12, 2020
Publisher	IEOM Society
Pages	364-375
Number of pages	12
ISBN (Print)	9781532359491, 9781532359514, 9781532359521
Publication status	Published - 10 Mar 2020
Event	10th Annual International IEOM Conference, IEOM 2020 - Dubai, United Arab Emirates Duration: 10 Mar 2020 → 12 Mar 2020

Publication series

Name	Proceedings of the International Conference on Industrial Engineering and Operations Management
ISSN (Electronic)	2169-8767

Conference

Conference	10th Annual International IEOM Conference, IEOM 2020
Country/Territory	United Arab Emirates
City	Dubai
Period	10/03/20 → 12/03/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 2 Zero Hunger
SDG 8 Decent Work and Economic Growth
SDG 9 Industry, Innovation, and Infrastructure
SDG 12 Responsible Consumption and Production
SDG 13 Climate Action

Keywords

Closed loop network
Multi objective optimization and reverse logistics
Sustainable agricultural supply chain

Access to Document

https://www.ieomsociety.org/ieom2020/papers/464.pdf

Cite this

Yamchi, H. R., Jabarzadeh, Y., Ghaffarinasab, N., Kumar, V., & Garza-Reyes, J. A. (2020). A multi-objective linear optimization model for designing sustainable closed-loop agricultural supply chain. In Proceedings of the International Conference on Industrial Engineering and Operations Management Dubai, UAE, March 10-12, 2020 (pp. 364-375). (Proceedings of the International Conference on Industrial Engineering and Operations Management). IEOM Society. https://www.ieomsociety.org/ieom2020/papers/464.pdf

Yamchi, Hossein Reyhani ; Jabarzadeh, Younis ; Ghaffarinasab, Nader et al. / A multi-objective linear optimization model for designing sustainable closed-loop agricultural supply chain. Proceedings of the International Conference on Industrial Engineering and Operations Management Dubai, UAE, March 10-12, 2020. IEOM Society, 2020. pp. 364-375 (Proceedings of the International Conference on Industrial Engineering and Operations Management).

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title = "A multi-objective linear optimization model for designing sustainable closed-loop agricultural supply chain",

abstract = "Demand for agricultural products will grow by nearly 70 percent in 2050 and high volume of chemical pesticides and agricultural fertilizers along with considerable waste in this sector induces serious environmental concerns. Hence it is not a priority but a necessity to modify unsustainable procedures to make them sustainable. The aim of this study is developing and analyzing a multi-objective (MO) linear mathematical model for sustainable close-loop agricultural supply chain (CLASC) with a deteriorating product to determine (1) the optimal flow to every echelon and (2) the optimal location of some facilities to achieve three objectives: reducing costs and carbon dioxide (CO2) emissions throughout the proposed supply chain (SC) network, and increasing the responsiveness. Finally, a numerical example is used to evaluate the optimization model.",

keywords = "Closed loop network, Multi objective optimization and reverse logistics, Sustainable agricultural supply chain",

author = "Yamchi, \{Hossein Reyhani\} and Younis Jabarzadeh and Nader Ghaffarinasab and Vikas Kumar and Garza-Reyes, \{Jose Arturo\}",

note = "Publisher Copyright: {\textcopyright} IEOM Society International.; 10th Annual International IEOM Conference, IEOM 2020 ; Conference date: 10-03-2020 Through 12-03-2020",

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day = "10",

language = "English",

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series = "Proceedings of the International Conference on Industrial Engineering and Operations Management",

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Yamchi, HR, Jabarzadeh, Y, Ghaffarinasab, N, Kumar, V & Garza-Reyes, JA 2020, A multi-objective linear optimization model for designing sustainable closed-loop agricultural supply chain. in Proceedings of the International Conference on Industrial Engineering and Operations Management Dubai, UAE, March 10-12, 2020. Proceedings of the International Conference on Industrial Engineering and Operations Management, IEOM Society, pp. 364-375, 10th Annual International IEOM Conference, IEOM 2020, Dubai, United Arab Emirates, 10/03/20. <https://www.ieomsociety.org/ieom2020/papers/464.pdf>

A multi-objective linear optimization model for designing sustainable closed-loop agricultural supply chain. / Yamchi, Hossein Reyhani; Jabarzadeh, Younis; Ghaffarinasab, Nader et al.
Proceedings of the International Conference on Industrial Engineering and Operations Management Dubai, UAE, March 10-12, 2020. IEOM Society, 2020. p. 364-375 (Proceedings of the International Conference on Industrial Engineering and Operations Management).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A multi-objective linear optimization model for designing sustainable closed-loop agricultural supply chain

AU - Yamchi, Hossein Reyhani

AU - Jabarzadeh, Younis

AU - Ghaffarinasab, Nader

AU - Kumar, Vikas

AU - Garza-Reyes, Jose Arturo

PY - 2020/3/10

Y1 - 2020/3/10

N2 - Demand for agricultural products will grow by nearly 70 percent in 2050 and high volume of chemical pesticides and agricultural fertilizers along with considerable waste in this sector induces serious environmental concerns. Hence it is not a priority but a necessity to modify unsustainable procedures to make them sustainable. The aim of this study is developing and analyzing a multi-objective (MO) linear mathematical model for sustainable close-loop agricultural supply chain (CLASC) with a deteriorating product to determine (1) the optimal flow to every echelon and (2) the optimal location of some facilities to achieve three objectives: reducing costs and carbon dioxide (CO2) emissions throughout the proposed supply chain (SC) network, and increasing the responsiveness. Finally, a numerical example is used to evaluate the optimization model.

AB - Demand for agricultural products will grow by nearly 70 percent in 2050 and high volume of chemical pesticides and agricultural fertilizers along with considerable waste in this sector induces serious environmental concerns. Hence it is not a priority but a necessity to modify unsustainable procedures to make them sustainable. The aim of this study is developing and analyzing a multi-objective (MO) linear mathematical model for sustainable close-loop agricultural supply chain (CLASC) with a deteriorating product to determine (1) the optimal flow to every echelon and (2) the optimal location of some facilities to achieve three objectives: reducing costs and carbon dioxide (CO2) emissions throughout the proposed supply chain (SC) network, and increasing the responsiveness. Finally, a numerical example is used to evaluate the optimization model.

KW - Closed loop network

KW - Multi objective optimization and reverse logistics

KW - Sustainable agricultural supply chain

UR - https://www.scopus.com/pages/publications/85088998240

M3 - Conference contribution

AN - SCOPUS:85088998240

SN - 9781532359491

SN - 9781532359514

SN - 9781532359521

T3 - Proceedings of the International Conference on Industrial Engineering and Operations Management

SP - 364

EP - 375

BT - Proceedings of the International Conference on Industrial Engineering and Operations Management Dubai, UAE, March 10-12, 2020

PB - IEOM Society

T2 - 10th Annual International IEOM Conference, IEOM 2020

Y2 - 10 March 2020 through 12 March 2020

ER -

Yamchi HR, Jabarzadeh Y, Ghaffarinasab N, Kumar V, Garza-Reyes JA. A multi-objective linear optimization model for designing sustainable closed-loop agricultural supply chain. In Proceedings of the International Conference on Industrial Engineering and Operations Management Dubai, UAE, March 10-12, 2020. IEOM Society. 2020. p. 364-375. (Proceedings of the International Conference on Industrial Engineering and Operations Management).

A multi-objective linear optimization model for designing sustainable closed-loop agricultural supply chain

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this