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Impact of Carbon Emission Policy on Fresh Food Supply Chain Model for Deteriorating Imperfect Quality Items

• Authors : Anil Dhanda; Mandeep Mittal; Sumit Chawla

Subjects: imperfect quality items; carbon cap-and-change regulation; fresh food supply chain

• Source: International Journal of Mathematical, Engineering and Management Sciences, Vol 9, Iss 3, Pp 516-536 (2024)

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Carbon-Efficient Scheduling in Fresh Food Supply Chains with a Time-Window-Constrained Deep Reinforcement Learning Model.

• Authors : Zou, Yuansu^1,2 (AUTHOR) ; Gao, Qixian¹ (AUTHOR) ; Wu, Hao¹ (AUTHOR)

• Source: Sensors (14248220). Dec2024, Vol. 24 Issue 23, p7461. 17p.

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Modelling carbon trading and refrigerated logistics services within a fresh food supply chain under carbon cap-and-trade regulation.

• Authors : Wang, Min¹ (AUTHOR); Zhao, Lindu¹ (AUTHOR) ; Herty, Michael² (AUTHOR)

Subjects: *SUPPLY chains; *FOOD industry; *BUSINESS logistics

• Source: International Journal of Production Research. Jun2018, Vol. 56 Issue 12, p4207-4225. 19p. 2 Diagrams, 4 Charts, 3 Graphs.

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Development of a hybrid fresh food supply chain risk assessment model.

• Authors : Nakandala, Dilupa¹ (AUTHOR); Lau, Henry¹ (AUTHOR) ; Zhao, Li¹ (AUTHOR)

Subjects: *FOOD supply; *SUPPLY chain management; *RISK assessment

• Source: International Journal of Production Research. Jul2017, Vol. 55 Issue 14, p4180-4195. 16p. 1 Black and White Photograph, 4 Diagrams, 6 Charts, 3 Graphs.

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A reliable decision support system for fresh food supply chain management.

• Authors : Dellino, Gabriella^1,2 ; Laudadio, Teresa¹; Mari, Renato¹

Subjects: *DECISION support systems; *SUPPLY chain management; *FOOD industry

• Source: International Journal of Production Research. Feb2018, Vol. 56 Issue 4, p1458-1485. 28p. 1 Diagram, 13 Charts, 5 Graphs.

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Carbon-Efficient Scheduling in Fresh Food Supply Chains with a Time-Window-Constrained Deep Reinforcement Learning Model

• Authors : Yuansu Zou; Qixian Gao; Hao Wu

Subjects: Intelligent Transportation Systems; fresh food supply chain; reinforcement learning

• Source: Sensors, Vol 24, Iss 23, p 7461 (2024)

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