JOAMS 2023 Vol.11(2): 44-49
doi: 10.18178/joams.11.2.44-49
doi: 10.18178/joams.11.2.44-49
The Forecasting Accuracy in the UK Food Logistics-Two System Drivers to Meet the 2050 Net-zero Goal
Yiru Lang
The University of Manchester, Manchester, The United Kingdom
Manuscript received January 7, 2023; revised February 27, 2023; accepted March 15, 2023; Published April 13, 2023.
Abstract—Recently, the UK government passed legislation that introduces the 2050 net-zero goal, as well as the recent pandemic and net-zero emission targets that call for revolutions in the transportation logistics system. Forecasting dedicates to accurately predict in demand management, production planning, and transportation route optimization to contribute to a better transportation logistics system. Therefore, we must address the importance of forecasting in designing a proper transportation logistic system to achieve a net-zero future, and the food industry is worth discussing in this case. Two system drivers of forecasting accuracy are identified for the 2050 net-zero goal: the end-to-end collaborative logistic system, and the uncertainties addressed by the innovative forecasting tools, respectively document the importance of information flow and the necessity of an innovative subjective forecasting approach to meet the 2050 commitment.
Keywords—2050 net-zero goal, supply chain logistics, forecasting accuracy, food industry, technology applications
Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
Cite: Yiru Lang, "The Forecasting Accuracy in the UK Food Logistics-Two System Drivers to Meet the 2050 Net-zero Goal," Journal of Advanced Management Science, Vol. 11, No. 2, pp. 44-49, 2023. doi: 10.18178/joams.11.2.44-49
Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
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