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An optimal decision for fresh products' cold chain considering freshness and carbon emission reduction

Zheng Liu (School of Management, Shanghai University of Engineering Science, Shanghai, China)
Na Huang (School of Management, Shanghai University of Engineering Science, Shanghai, China)
Chunjia Han (Business School, Birkbeck, University of London, London, UK)
Mu Yang (Business School, Birkbeck, University of London, London, UK)
Yuanjun Zhao (Nanjing Audit University, Nanjing, China)
Wenzhuo Sun (Shanghai University of Engineering Science, Shanghai, China)
Varsha Arya (Department of Business Administration, Asia University, Taichung, Taiwan) (Department of Electrical and Computer Engineering, Lebanese American University, Beirut, Lebanon)
Brij B. Gupta (Department of Computer Science and Information Engineering, Asia University, Taichung, Taiwan) (Kyung Hee University, Seoul, South Korea) (Center for Interdisciplinary Research, University of Petroleum and Energy Studies (UPES), Dehradun, India)
Lihua Shi (School of Management, Shanghai University of Engineering Science, Shanghai, China)

British Food Journal

ISSN: 0007-070X

Article publication date: 30 April 2024

Issue publication date: 9 May 2024

84

Abstract

Purpose

The aim of this study was to analyze the effects of carbon reduction efforts and preservation efforts on system benefits in the cold chain industry of fresh products.

Design/methodology/approach

This study develops an optimal decision game model for the fresh products in the cold chain, incorporating the retailer's preservation effort and the supplier's carbon emission reduction effort. It quantifies the relationship between carbon emission reduction effort, preservation effort and system profit. The model considers parameters like carbon trading price, consumer low-carbon preference and consumer freshness preference, reflecting real-world conditions and market trends. Numerical simulations are conducted by varying these parameters to observe their impact on system profit.

Findings

Under the carbon cap-and-trade policy, the profit of the fresh cold chain system is higher than that of the fresh cold chain system without carbon constraints, and the profit of the supplier under decentralized decision-making is increased by nine times in the simulation results. The increase in carbon trading prices can effectively improve the freshness level of fresh products cold chain, carbon emission reduction level and system profit.

Originality/value

This study comprehensively considers the factors of freshness and carbon emission reduction, provides the optimal low-carbon production decision-making reference for the fresh food cold chain and promotes the sustainable development of the fresh food cold chain.

Keywords

Acknowledgements

This work was funded by the National Social Science Fund of China (No: 22BGL203).

Citation

Liu, Z., Huang, N., Han, C., Yang, M., Zhao, Y., Sun, W., Arya, V., Gupta, B.B. and Shi, L. (2024), "An optimal decision for fresh products' cold chain considering freshness and carbon emission reduction", British Food Journal, Vol. 126 No. 6, pp. 2477-2499. https://doi.org/10.1108/BFJ-12-2023-1089

Publisher

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Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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