Analyzing the Implementation of Digital Twins in the Agri-Food Supply Chain

被引:14
作者
Melesse, Tsega Y. [1 ]
Franciosi, Chiara [2 ]
Di Pasquale, Valentina [1 ]
Riemma, Stefano [1 ]
机构
[1] Univ Salerno, Dept Ind Engn, I-84084 Fisciano, Italy
[2] Univ Lorraine, CNRS, CRAN, UMR 7039, Campus Sci,BP 70239, F-70239 Vandeuvre Les Nancy, France
来源
LOGISTICS-BASEL | 2023年 / 7卷 / 02期
关键词
digital twin; agri-food supply chain; contributions; integration level; challenges; SIMULATION; OPERATIONS; MODELS; SYSTEM; IMPACT; DRIVE; FRUIT;
D O I
10.3390/logistics7020033
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Background: Digital twins have the potential to significantly improve the efficiency and sustainability of the agri-food supply chain by providing visibility, reducing bottlenecks, planning for contingencies, and improving existing processes and resources. Additionally, they can add value to businesses by lowering costs and boosting customer satisfaction. This study is aimed at responding to common scientific questions on the application of digital twins in the agri-food supply chain, focusing on the benefits, types, integration levels, key elements, implementation steps, and challenges. Methods: This article conducts a systematic literature review of recent works on agri-food supply chain digital twins, using a list of peer-reviewed studies to analyze concepts using precise and well-defined criteria. Thus, 50 papers were selected based on inclusion and exclusion criteria, and descriptive and content-wise analysis was conducted to answer the research questions. Conclusions: The implementation of digital twins has shown promising advancements in addressing global challenges in the agri-food supply chain. Despite encouraging signs of progress in the sector, the real-world application of this solution is still in its early stages. This article intends to provide firms, experts, and researchers with insights into future research directions, implications, and challenges on the topic.
引用
收藏
页数:17
相关论文
共 97 条
[1]   Digital Twin Integrated Reinforced Learning in Supply Chain and Logistics [J].
Abideen, Ahmed Zainul ;
Sundram, Veera Pandiyan Kaliani ;
Pyeman, Jaafar ;
Othman, Abdul Kadir ;
Sorooshian, Shahryar .
LOGISTICS-BASEL, 2021, 5 (04)
[2]  
Agrawal T.K., 2021, ADV PRODUCTION MANAG, VVolume 633
[3]  
Almeder C., 2007, C MODEL SIMUL, V2007, P9
[4]   Optimization of inventory policies of food grain distribution stage in public distribution system [J].
Ambekar, Sudhir ;
Kapoor, Rohit .
BENCHMARKING-AN INTERNATIONAL JOURNAL, 2019, 26 (02) :692-713
[5]  
anylogistix, Supply chain digital Twins
[6]   Digital Twins in greenhouse horticulture: A review [J].
Ariesen-Verschuur, Natasja ;
Verdouw, Cor ;
Tekinerdogan, Bedir .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2022, 199
[7]  
Attaran M., 2023, DECIS ANAL J, V6, DOI [DOI 10.1016/J.DAJOUR.2023.100165, 10.1016/j.dajour.2023.100165]
[8]   Digital Twins Supporting Efficient Digital Industrial Transformation [J].
Bamunuarachchi, Dinithi ;
Georgakopoulos, Dimitrios ;
Banerjee, Abhik ;
Jayaraman, Prem Prakash .
SENSORS, 2021, 21 (20)
[9]  
Bottani E., 2020, 2020 IEEE INT C ENG, V1, P1, DOI DOI 10.1109/ICE/ITMC49519.2020.9198625
[10]   Food retail supply chain resilience and the COVID-19 pandemic: A digital twin-based impact analysis and improvement directions [J].
Burgos, Diana ;
Ivanov, Dmitry .
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2021, 152