AI, Blockchain, ERP, and Machine Learning in Fisheries Supply Chain Optimization: A Systematic Literature Review
Main Article Content
Keywords
digital infrastructure, artificial intelligence, machine learning, ERP, fisheries supply chains, blockchain
Abstract
Getting a fully digital infrastructure set up for fisheries has become difficult, yet so has understanding how to develop the infrastructure to improve both sustainability and operability. Fish products are especially troubling because they are so perishable. Coordinating the large number of small fishing businesses (which are the main focus of this paper) is troublesome and causes a lack of ability to trace products throughout the supply chain, and a whole host of other inefficiencies. In an attempt to better understand the challenges of technology integration in small-scale fisheries, this paper presents several case studies of how artificial intelligence, machine learning, blockchain, and enterprise resource planning tools have been implemented in fisheries supply chains. In line with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) methodology, the review captures the state of technology in the field by reviewing 111 articles published in the last five years via a systematic search of Scopus and the Web of Science. The bibliometric tool in R was used to process the bibliographic data and ensure a systematic review of the published works. From this analysis, it was found that AI and machine learning tools were primarily used for demand and supply forecasting, whereas blockchain was used to ensure traceability and transparency in the supply chain. ERP tools were used to integrate the logistics, financial, and inventory management systems. While these tools have been implemented, there still appear to be significant barriers to integrating these technologies in a digital ecosystem. The barriers to implementation include high costs, very little digital infrastructure, and a complete unwillingness to adopt the technologies. The review indicates that the use of technology needs to be integrated, and the best way to improve small-scale fisheries is through the use of technology that is flexible, scalable, and can be easily integrated. These solutions lay the groundwork for better sustainable fisheries management. Further down the line, research can focus on creating interconnected systems that make it possible to implement affordable traceability and data-sharing systems, as well as provide real-time decision support across the various stages of the fisheries value chain.
Downloads
Download data is not yet available.
References
[1] N. Tsolakis, D. Niedenzu, M. Simonetto, M. Dora, and M. Kumar, “Supply network design to address United Nations Sustainable Development Goals: A case study of blockchain implementation in Thai fish industry,” J. Bus. Res., vol. 131, pp. 495–519, Jul. 2021, doi: 10.1016/j.jbusres.2020.08.003.
[2] N. Alsharabi et al., “Using blockchain and AI technologies for sustainable, biodiverse, and transparent fisheries of the future,” Journal of Cloud Computing, vol. 13, no. 1, 2024, doi: 10.1186/s13677-024-00696-8.
[3] Reyna, C. Martín, J. Chen, E. Soler, and M. Díaz, “On blockchain and its integration with IoT. Challenges and opportunities,” Future Generation Computer Systems, vol. 88, pp. 173–190, Nov. 2018, doi: 10.1016/j.future.2018.05.046.
[4] M. Veena, K. Sravani, K. Dhanapal, G. P. Kumar, C. Manaswini, and D. C. Basha, “Blockchain Technology for Enhancing Traceability and Sustainability in Fish and Fishery Products: Comprehensive Review,” International Journal of Bio-resource and Stress Management, vol. 19, no. Sep, 9, pp. 01–07, 2025, doi: 10.23910/1.2025.6349.
[5] Z. Zhang, H. Zhu, and H. Liang, “Blockchain-Based Cold Chain Traceability with NR-PBFT and IoV-IMS for Marine Fishery Vessels,” J. Mar. Sci. Eng., vol. 12, no. 8, 2024, doi: 10.3390/jmse12081371.
[6] A. S. Bhand, P. Bharsakale, S. Deshmane, and M. Mali, “Blockchain Application in Fishery Supply Chain,” Journal of Trends in Computer Science and Smart Technology, vol. 5, no. 4, pp. 433–449, 2023, doi: 10.36548/jtcsst.2023.4.005.
[7] S. Kimothi et al., “Comprehensive Database Creation for Potential Fish Zones Using IoT and ML with Assimilation of Geospatial Techniques,” Sustainability (Switzerland), vol. 15, no. 2, 2023, doi: 10.3390/su15021062.
[8] S. Ismail, H. Reza, K. Salameh, H. Kashani Zadeh, and F. Vasefi, “Toward an Intelligent Blockchain IoT-Enabled Fish Supply Chain: A Review and Conceptual Framework,” Sensors, vol. 23, no. 11, pp. 1–24, 2023, doi: 10.3390/s23115136.
[9] B. Kitchenham, O. Pearl Brereton, D. Budgen, M. Turner, J. Bailey, and S. Linkman, “Systematic literature reviews in software engineering – A systematic literature review,” Inf. Softw. Technol., vol. 51, no. 1, pp. 7–15, Jan. 2009, doi: 10.1016/J.INFSOF.2008.09.009.
[10] I. M. Issa, K. H. Mubarack, and Y. Kisakeni, “PRACTICES OF FRESH FISH FARMERS ALONG THE SUPPLY CHAIN OF FISH FARMING OF KOLA-KISARAWE, TANZANIA,” AFRICAN JOURNAL OF APPLIED RESEARCH, vol. 8, no. 1, pp. 324–339, Apr. 2022, doi: 10.26437/ajar/03.2022.21.
[11] P. Permatasari and J. Gunawan, “Sustainability policies for small medium enterprises: WHO are the actors?,” Cleaner and Responsible Consumption, vol. 9, Jun. 2023, doi: 10.1016/j.clrc.2023.100122.
[12] J. Guo and Z. Lv, “Application of Digital Twins in multiple fields,” Multimed. Tools Appl., vol. 81, no. 19, pp. 26941–26967, Aug. 2022, doi: 10.1007/s11042-022-12536-5.
[13] S. Sahoo, S. Kumar, U. Sivarajah, W. M. Lim, J. C. Westland, and A. Kumar, Blockchain for sustainable supply chain management: trends and ways forward, vol. 24, no. 3. Springer US, 2024. doi: 10.1007/s10660-022-09569-1.
[14] B. Jæger and A. Mishra, “Iot platform for seafood farmers and consumers,” Sensors (Switzerland), vol. 20, no. 15, pp. 1–15, 2020, doi: 10.3390/s20154230.
[15] A. Shamsuzzoha, J. Marttila, and P. Helo, “Blockchain-enabled traceability system for the sustainable seafood industry,” Technol. Anal. Strateg. Manag., vol. 36, no. 11, pp. 3891–3905, 2024, doi: 10.1080/09537325.2023.2233632.
[16] C. R. Hopkins, S. I. Roberts, A. J. Caveen, C. Graham, and N. M. Burns, “Improved traceability in seafood supply chains is achievable by minimising vulnerable nodes in processing and distribution networks,” Mar. Policy, vol. 159, Jan. 2024, doi: 10.1016/j.marpol.2023.105910.
[17] N. Meriggi et al., “Enhancing seafood traceability: tracking the origin of seabass and seabream from the tuscan coast area by the analysis of the gill bacterial communities,” Anim. Microbiome, vol. 6, no. 1, 2024, doi: 10.1186/s42523-024-00300-z.
[18] K. Wing and B. Woodward, “Advancing artificial intelligence in fisheries requires novel cross-sector collaborations,” ICES Journal of Marine Science, vol. 81, no. 10, pp. 1912–1919, 2024, doi: 10.1093/icesjms/fsae118.
[19] M. Sueker et al., “A Novel Machine-Learning Framework Based on a Hierarchy of Dispute Models for the Identification of Fish Species Using Multi-Mode Spectroscopy,” Sensors, vol. 23, no. 22, 2023, doi: 10.3390/s23229062.
[20] T. Hirokawa and B. S. Thompson, “The influence of new sustainable fisheries policies on seafood company practices and consumer awareness in Japan,” Mar. Policy, vol. 157, no. July, p. 105819, 2023, doi: 10.1016/j.marpol.2023.105819.
[21] Q. Y. Qin, J. Y. Liu, Y. H. Chen, X. R. Wang, and T. J. Chu, “Knowledge Mapping of the Development Trend of Smart Fisheries in China: A Bibliometric Analysis,” Fishes, vol. 9, no. 7, 2024, doi: 10.3390/fishes9070258.
[22] L. F. Rahman, L. Alam, M. Marufuzzaman, and U. R. Sumaila, “Traceability of sustainability and safety in fishery supply chain management systems using radio frequency identification technology,” Foods, vol. 10, no. 10, 2021, doi: 10.3390/foods10102265.
[23] A. Panghal, S. Pan, P. Vern, R. S. Mor, and S. Jagtap, “Blockchain technology for enhancing sustainable food systems: A consumer perspective,” Int. J. Food Sci. Technol., vol. 59, no. 5, pp. 3461–3468, 2024, doi: 10.1111/ijfs.16835.
[24] S. Tian and W. Jiang, “Blockchain Traceability Process for Hairy Crab Based on Cuckoo Filter,” Applied Sciences (Switzerland), vol. 14, no. 17, 2024, doi: 10.3390/app14178027.
[25] D. I. Handayani, I. Masudin, A. Rusdiansyah, and J. Suharsono, “Production-Distribution Model Considering Traceability and Carbon Emission: A Case Study of the Indonesian Canned Fish Food Industry,” Logistics, vol. 5, no. 3, 2021, doi: 10.3390/logistics5030059.
[26] G. Tortorella, F. S. Fogliatto, S. Gao, and T. K. Chan, “Contributions of Industry 4.0 to supply chain resilience,” Apr. 19, 2022, Emerald Group Holdings Ltd. doi: 10.1108/IJLM-12-2020-0494.
[27] T. S. Deepu and V. Ravi, “A review of literature on implementation and operational dimensions of supply chain digitalization: Framework development and future research directions,” International Journal of Information Management Data Insights, vol. 3, no. 1, p. 100156, 2023, doi: 10.1016/j.jjimei.2023.100156.
[28] M. Hrouga, “Towards a new conceptual digital collaborative supply chain model based on Industry 4.0 technologies: a conceptual framework,” International Journal of Quality and Reliability Management, 2023, doi: 10.1108/IJQRM-07-2022-0221.
[29] S. Ismail, H. Reza, K. Salameh, H. Kashani Zadeh, and F. Vasefi, “Toward an Intelligent Blockchain IoT-Enabled Fish Supply Chain: A Review and Conceptual Framework,” Sensors, vol. 23, no. 11, 2023, doi: 10.3390/s23115136.
[30] J. Vummadi and K. Hajarath, “Integration of Emerging Technologies AI and ML into Strategic Supply Chain Planning Processes to Enhance Decision-Making and Agility,” International Journal of Supply Chain Management, vol. 9, no. 2, pp. 77–87, 2024, doi: 10.47604/ijscm.2547.
[31] C. Trivedi et al., “Explainable AI for Industry 5.0: Vision, Architecture, and Potential Directions,” IEEE Open Journal of Industry Applications, vol. 5, no. July 2023, pp. 177–208, 2024, doi: 10.1109/OJIA.2024.3399057.
[32] S. Trivedi and S. Negi, “The metaverse in supply chain management: application and benefits,” International Journal of Advanced Virtual Reality, vol. 1, no. 1, pp. 36–43, 2023, [Online]. Available: http://www.journals.leukolion.com/index.php/ijavr/article/view/15
[33] S. Orofino, G. McDonald, J. Mayorga, C. Costello, and D. Bradley, “Opportunities and challenges for improving fisheries management through greater transparency in vessel tracking,” ICES Journal of Marine Science, vol. 80, no. 4, pp. 675–689, 2023, doi: 10.1093/icesjms/fsad008.
[34] N. J. Rowan, “The role of digital technologies in supporting and improving fishery and aquaculture across the supply chain – Quo Vadis?,” Jul. 01, 2023, KeAi Communications Co. doi: 10.1016/j.aaf.2022.06.003.
[35] G. M. Razak, L. C. Hendry, and M. Stevenson, “Supply chain traceability: a review of the benefits and its relationship with supply chain resilience,” Production Planning and Control, vol. 34, no. 11, pp. 1114–1134, 2023, doi: 10.1080/09537287.2021.1983661.
[36] U. Tokkozhina, A. L. Martins, and J. C. Ferreira, “Multi-tier supply chain behavior with blockchain technology: evidence from a frozen fish supply chain,” Operations Management Research, vol. 16, no. 3, pp. 1562–1576, Sep. 2023, doi: 10.1007/s12063-023-00377-w.
[37] G. Tortorella, F. S. Fogliatto, S. Gao, and T. K. Chan, “Contributions of Industry 4.0 to supply chain resilience,” Apr. 19, 2022, Emerald Group Holdings Ltd. doi: 10.1108/IJLM-12-2020-0494.
[38] T. S. Deepu and V. Ravi, “A review of literature on implementation and operational dimensions of supply chain digitalization: Framework development and future research directions,” Apr. 01, 2023, Elsevier B.V. doi: 10.1016/j.jjimei.2023.100156.
[39] R. R. Corsini, A. Costa, S. Fichera, and J. M. Framinan, “Digital twin model with machine learning and optimization for resilient production–distribution systems under disruptions,” Comput. Ind. Eng., vol. 191, no. September 2023, p. 110145, 2024, doi: 10.1016/j.cie.2024.110145.
[40] X. Sun, H. Yu, W. D. Solvang, Y. Wang, and K. Wang, “The application of Industry 4.0 technologies in sustainable logistics: a systematic literature review (2012–2020) to explore future research opportunities,” Feb. 01, 2022, Springer Science and Business Media Deutschland GmbH. doi: 10.1007/s11356-021-17693-y.
[41] A. Z. Abideen, V. P. K. Sundram, J. Pyeman, A. K. Othman, and S. Sorooshian, “Digital Twin Integrated Reinforced Learning in Supply Chain and Logistics,” Logistics, vol. 5, no. 4, p. 84, 2021, doi: 10.3390/logistics5040084.
[42] A. S. Pol et al., “Relevance of Data Analytics in Sustainable Fisheries Management: an Evidence-Based Study,” Acta Scientiarum Polonorum Formatio Circumiectus, vol. 22, no. 4, pp. 49–74, 2023, [Online]. Available: doi: 10.15576/ASP.FC/2023.22.4.18
[43] V. Varriale, A. Cammarano, F. Michelino, and M. Caputo, “Sustainable supply chains with blockchain, IoT and RFID: A simulation on order management,” Sustainability (Switzerland), vol. 13, no. 11, 2021, doi: 10.3390/su13116372.
[44] D. Ivanov, “Conceptualisation of a 7-element digital twin framework in supply chain and operations management,” Int. J. Prod. Res., vol. 62, no. 6, pp. 2220–2232, Mar. 2024, doi: 10.1080/00207543.2023.2217291.
[45] I. Abouzid and R. Saidi, “Digital twin implementation approach in supply chain processes,” Sci. Afr., vol. 21, Sep. 2023, doi: 10.1016/j.sciaf.2023.e01821.
[46] A. Dolgui and D. Ivanov, “Metaverse supply chain and operations management,” Int. J. Prod. Res., vol. 61, no. 23, pp. 8179–8191, 2023, doi: 10.1080/00207543.2023.2240900.
[47] C. Marinagi, “The Impact of Industry 4.0 Technologies on Key Performance Indicators for a Resilient Supply Chain 4.0,” Sustainability (Switzerland), vol. 15, no. 6, 2023, doi: 10.3390/su15065185.
[48] D. I. Onwude, “Recent advances in reducing food losses in the supply chain of fresh agricultural produce,” Processes, vol. 8, no. 11, pp. 1–31, 2020, doi: 10.3390/pr8111431.
[49] Mileti, D. Arduini, G. Watson, and A. Giangrande, “Blockchain Traceability in Trading Biomasses Obtained with an Integrated Multi-Trophic Aquaculture,” Sustainability (Switzerland), vol. 15, no. 1, pp. 1–14, 2023, doi: 10.3390/su15010767.
[50] N. Bernards, M. Campbell-Verduyn, and D. Rodima-Taylor, “The veil of transparency: Blockchain and sustainability governance in global supply chains,” Environment and Planning C: Politics and Space, vol. 42, no. 5, pp. 742–760, 2024, doi: 10.1177/23996544221142763.
[51] A. Al Tera, A. Alzubi, and K. Iyiola, “Supply chain digitalization and performance: A moderated mediation of supply chain visibility and supply chain survivability,” Heliyon, vol. 10, no. 4, Feb. 2024, doi: 10.1016/j.heliyon.2024.e25584.
[52] N. Anumbe, C. Saidy, and R. Harik, “A Primer on the Factories of the Future,” Aug. 01, 2022, MDPI. doi: 10.3390/s22155834.
[53] B. Gerlach, S. Zarnitz, B. Nitsche, and F. Straube, “Digital Supply Chain Twins—Conceptual Clarification, Use Cases and Benefits,” Logistics, vol. 5, no. 4, Dec. 2021, doi: 10.3390/logistics5040086.
[54] D. Lee and S. Lee, “Digital twin for supply chain coordination in modular construction,” Applied Sciences (Switzerland), vol. 11, no. 13, 2021, doi: 10.3390/app11135909.
[55] R. Alfred et al., “Modelling and Forecasting Fresh Agro-Food Commodity Consumption Per Capita in Malaysia Using Machine Learning,” Mobile Information Systems, vol. 2022, 2022, doi: 10.1155/2022/6106557.
[56] D. Ma, P. Ma, and J. Hu, “The Impact of Blockchain Technology Adoption on an E-Commerce Closed-Loop Supply Chain Considering Consumer Trust,” Sustainability (Switzerland), vol. 16, no. 4, 2024, doi: 10.3390/su16041535.
[57] Ö. Tozanlı, E. Kongar, and S. M. Gupta, “Evaluation of Waste Electronic Product Trade-in Strategies in Predictive Twin Disassembly Systems in the Era of Blockchain,” Sustainability, vol. 12, no. 13, p. 5416, Jul. 2020, doi: 10.3390/su12135416.
[58] W. M. S. K. Weerabahu, P. Samaranayake, D. Nakandala, and H. Hurriyet, “Digital supply chain research trends: a systematic review and a maturity model for adoption,” Dec. 01, 2023, Emerald Publishing. doi: 10.1108/BIJ-12-2021-0782.
[59] P. S. Kemp et al., “Future advances in UK marine fisheries policy: Integrated nexus management, technological advance, and shifting public opinion,” Mar. Policy, vol. 147, no. October 2022, p. 105335, 2023, doi: 10.1016/j.marpol.2022.105335.
[60] K. Yavaprabhas, M. Pournader, and S. Seuring, “Blockchain as the ‘trust-building machine’ for supply chain management,” Ann. Oper. Res., vol. 327, no. 1, pp. 49–88, 2023, doi: 10.1007/s10479-022-04868-0.
[61]E. P. Kechagias, S. P. Gayialis, G. A. Papadopoulos, and G. Papoutsis, “An Ethereum-Based Distributed Application for Enhancing Food Supply Chain Traceability,” Foods, vol. 12, no. 6, 2023, doi: 10.3390/foods12061220.
[62] J. C. Quiroz-Flores, M. F. Collao-Diaz, D. Sobya, and S. Nallusamy, “RFID Technology in Storage Management: A Bibliometric Study on Efficiency and Cost Reduction in the Retail Sector,” SSRG International Journal of Electronics and Communication Engineering, vol. 10, no. 10, pp. 1–13, 2023, doi: 10.14445/23488549/IJECE-V10I10P101.
[63] C. C. Kersten, J. M. C. Kerber, J. dos S. Silva, M. Bouzon, and L. M. de S. Campos, “Traceability in the agri-food supply chain: a new perspective under the Circular Economy approach,” Production, vol. 34, 2024, doi: 10.1590/0103-6513.20240009.
[64] A. Pigola, P. R. da Costa, L. C. Carvalho, L. F. da Silva, C. T. Kniess, and E. A. Maccari, “Artificial intelligence‐driven digital technologies to the implementation of the sustainable development goals: A perspective from Brazil and Portugal,” Sustainability (Switzerland), vol. 13, no. 24, 2021, doi: 10.3390/su132413669.
[65] M. A. Le-Dain, L. Benhayoun, J. Matthews, and M. Liard, “Barriers and opportunities of digital servitization for SMEs: the effect of smart Product-Service System business models,” Service Business, vol. 17, no. 1, pp. 359–393, Mar. 2023, doi: 10.1007/s11628-023-00520-4.
[66] R. Klar, N. Arvidsson, and V. Angelakis, “Digital Twins’ Maturity: The Need for Interoperability,” IEEE Syst. J., 2023, [Online]. Available: https://ieeexplore.ieee.org/abstract/document/10367836/
[67] J. Barata and I. Kayser, “How will the digital twin shape the future of industry 5.0?,” Jun. 01, 2024, Elsevier Ltd. doi: 10.1016/j.technovation.2024.103025.
[68] M. Berneis and H. Winkler, “Value Proposition Assessment of Blockchain Technology for Luxury, Food, and Healthcare Supply Chains,” Logistics, vol. 5, no. 4, 2021, doi: 10.3390/logistics5040085.
[69] A. Lagorio, C. Cimini, R. Pinto, and S. Cavalieri, “5G in Logistics 4.0: potential applications and challenges,” Procedia Comput. Sci., vol. 217, pp. 650–659, 2023, doi: 10.1016/j.procs.2022.12.261.
[70] M. Ibrahim, A. Rassõlkin, T. Vaimann, and A. Kallaste, “Overview on Digital Twin for Autonomous Electrical Vehicles Propulsion Drive System,” Sustainability (Switzerland), vol. 14, no. 2, 2022, doi: 10.3390/su14020601.
[71] U. Tokkozhina, A. L. Martins, and J. C. Ferreira, “Use of Blockchain Technology to Manage the Supply Chains: Comparison of Perspectives between Technology Providers and Early Industry Adopters,” Journal of Theoretical and Applied Electronic Commerce Research, vol. 17, no. 4, pp. 1616–1632, 2022, doi: 10.3390/jtaer17040082.
[72] S. Sengupta and H. Dreyer, “Realizing zero-waste value chains through digital twin-driven S&OP: A case of grocery retail,” Comput. Ind., vol. 148, p. 103890, 2023, doi: 10.1016/j.compind.2023.103890.
[73] H. Zhou, Q. Wang, L. Li, T. S. H. Teo, and S. Yang, “Supply chain digitalization and performance improvement: a moderated mediation model,” Supply Chain Management, 2023, doi: 10.1108/SCM-11-2022-0434.
[74] H. Omrany, K. M. Al-Obaidi, A. Husain, and A. Ghaffarianhoseini, “Digital Twins in the Construction Industry: A Comprehensive Review of Current Implementations, Enabling Technologies, and Future Directions,” Sustainability (Switzerland), vol. 15, no. 14, pp. 1–26, 2023, doi: 10.3390/su151410908.
[75] F. Ricardo et al., “Combined Use of Fatty Acid Profiles and Elemental Fingerprints to Trace the Geographic Origin of Live Baits for Sports Fishing: The Solitary Tube Worm (Diopatra neapolitana, Annelida, Onuphidae) as a Case Study,” Animals, vol. 14, no. 9, 2024, doi: 10.3390/ani14091361.
[2] N. Alsharabi et al., “Using blockchain and AI technologies for sustainable, biodiverse, and transparent fisheries of the future,” Journal of Cloud Computing, vol. 13, no. 1, 2024, doi: 10.1186/s13677-024-00696-8.
[3] Reyna, C. Martín, J. Chen, E. Soler, and M. Díaz, “On blockchain and its integration with IoT. Challenges and opportunities,” Future Generation Computer Systems, vol. 88, pp. 173–190, Nov. 2018, doi: 10.1016/j.future.2018.05.046.
[4] M. Veena, K. Sravani, K. Dhanapal, G. P. Kumar, C. Manaswini, and D. C. Basha, “Blockchain Technology for Enhancing Traceability and Sustainability in Fish and Fishery Products: Comprehensive Review,” International Journal of Bio-resource and Stress Management, vol. 19, no. Sep, 9, pp. 01–07, 2025, doi: 10.23910/1.2025.6349.
[5] Z. Zhang, H. Zhu, and H. Liang, “Blockchain-Based Cold Chain Traceability with NR-PBFT and IoV-IMS for Marine Fishery Vessels,” J. Mar. Sci. Eng., vol. 12, no. 8, 2024, doi: 10.3390/jmse12081371.
[6] A. S. Bhand, P. Bharsakale, S. Deshmane, and M. Mali, “Blockchain Application in Fishery Supply Chain,” Journal of Trends in Computer Science and Smart Technology, vol. 5, no. 4, pp. 433–449, 2023, doi: 10.36548/jtcsst.2023.4.005.
[7] S. Kimothi et al., “Comprehensive Database Creation for Potential Fish Zones Using IoT and ML with Assimilation of Geospatial Techniques,” Sustainability (Switzerland), vol. 15, no. 2, 2023, doi: 10.3390/su15021062.
[8] S. Ismail, H. Reza, K. Salameh, H. Kashani Zadeh, and F. Vasefi, “Toward an Intelligent Blockchain IoT-Enabled Fish Supply Chain: A Review and Conceptual Framework,” Sensors, vol. 23, no. 11, pp. 1–24, 2023, doi: 10.3390/s23115136.
[9] B. Kitchenham, O. Pearl Brereton, D. Budgen, M. Turner, J. Bailey, and S. Linkman, “Systematic literature reviews in software engineering – A systematic literature review,” Inf. Softw. Technol., vol. 51, no. 1, pp. 7–15, Jan. 2009, doi: 10.1016/J.INFSOF.2008.09.009.
[10] I. M. Issa, K. H. Mubarack, and Y. Kisakeni, “PRACTICES OF FRESH FISH FARMERS ALONG THE SUPPLY CHAIN OF FISH FARMING OF KOLA-KISARAWE, TANZANIA,” AFRICAN JOURNAL OF APPLIED RESEARCH, vol. 8, no. 1, pp. 324–339, Apr. 2022, doi: 10.26437/ajar/03.2022.21.
[11] P. Permatasari and J. Gunawan, “Sustainability policies for small medium enterprises: WHO are the actors?,” Cleaner and Responsible Consumption, vol. 9, Jun. 2023, doi: 10.1016/j.clrc.2023.100122.
[12] J. Guo and Z. Lv, “Application of Digital Twins in multiple fields,” Multimed. Tools Appl., vol. 81, no. 19, pp. 26941–26967, Aug. 2022, doi: 10.1007/s11042-022-12536-5.
[13] S. Sahoo, S. Kumar, U. Sivarajah, W. M. Lim, J. C. Westland, and A. Kumar, Blockchain for sustainable supply chain management: trends and ways forward, vol. 24, no. 3. Springer US, 2024. doi: 10.1007/s10660-022-09569-1.
[14] B. Jæger and A. Mishra, “Iot platform for seafood farmers and consumers,” Sensors (Switzerland), vol. 20, no. 15, pp. 1–15, 2020, doi: 10.3390/s20154230.
[15] A. Shamsuzzoha, J. Marttila, and P. Helo, “Blockchain-enabled traceability system for the sustainable seafood industry,” Technol. Anal. Strateg. Manag., vol. 36, no. 11, pp. 3891–3905, 2024, doi: 10.1080/09537325.2023.2233632.
[16] C. R. Hopkins, S. I. Roberts, A. J. Caveen, C. Graham, and N. M. Burns, “Improved traceability in seafood supply chains is achievable by minimising vulnerable nodes in processing and distribution networks,” Mar. Policy, vol. 159, Jan. 2024, doi: 10.1016/j.marpol.2023.105910.
[17] N. Meriggi et al., “Enhancing seafood traceability: tracking the origin of seabass and seabream from the tuscan coast area by the analysis of the gill bacterial communities,” Anim. Microbiome, vol. 6, no. 1, 2024, doi: 10.1186/s42523-024-00300-z.
[18] K. Wing and B. Woodward, “Advancing artificial intelligence in fisheries requires novel cross-sector collaborations,” ICES Journal of Marine Science, vol. 81, no. 10, pp. 1912–1919, 2024, doi: 10.1093/icesjms/fsae118.
[19] M. Sueker et al., “A Novel Machine-Learning Framework Based on a Hierarchy of Dispute Models for the Identification of Fish Species Using Multi-Mode Spectroscopy,” Sensors, vol. 23, no. 22, 2023, doi: 10.3390/s23229062.
[20] T. Hirokawa and B. S. Thompson, “The influence of new sustainable fisheries policies on seafood company practices and consumer awareness in Japan,” Mar. Policy, vol. 157, no. July, p. 105819, 2023, doi: 10.1016/j.marpol.2023.105819.
[21] Q. Y. Qin, J. Y. Liu, Y. H. Chen, X. R. Wang, and T. J. Chu, “Knowledge Mapping of the Development Trend of Smart Fisheries in China: A Bibliometric Analysis,” Fishes, vol. 9, no. 7, 2024, doi: 10.3390/fishes9070258.
[22] L. F. Rahman, L. Alam, M. Marufuzzaman, and U. R. Sumaila, “Traceability of sustainability and safety in fishery supply chain management systems using radio frequency identification technology,” Foods, vol. 10, no. 10, 2021, doi: 10.3390/foods10102265.
[23] A. Panghal, S. Pan, P. Vern, R. S. Mor, and S. Jagtap, “Blockchain technology for enhancing sustainable food systems: A consumer perspective,” Int. J. Food Sci. Technol., vol. 59, no. 5, pp. 3461–3468, 2024, doi: 10.1111/ijfs.16835.
[24] S. Tian and W. Jiang, “Blockchain Traceability Process for Hairy Crab Based on Cuckoo Filter,” Applied Sciences (Switzerland), vol. 14, no. 17, 2024, doi: 10.3390/app14178027.
[25] D. I. Handayani, I. Masudin, A. Rusdiansyah, and J. Suharsono, “Production-Distribution Model Considering Traceability and Carbon Emission: A Case Study of the Indonesian Canned Fish Food Industry,” Logistics, vol. 5, no. 3, 2021, doi: 10.3390/logistics5030059.
[26] G. Tortorella, F. S. Fogliatto, S. Gao, and T. K. Chan, “Contributions of Industry 4.0 to supply chain resilience,” Apr. 19, 2022, Emerald Group Holdings Ltd. doi: 10.1108/IJLM-12-2020-0494.
[27] T. S. Deepu and V. Ravi, “A review of literature on implementation and operational dimensions of supply chain digitalization: Framework development and future research directions,” International Journal of Information Management Data Insights, vol. 3, no. 1, p. 100156, 2023, doi: 10.1016/j.jjimei.2023.100156.
[28] M. Hrouga, “Towards a new conceptual digital collaborative supply chain model based on Industry 4.0 technologies: a conceptual framework,” International Journal of Quality and Reliability Management, 2023, doi: 10.1108/IJQRM-07-2022-0221.
[29] S. Ismail, H. Reza, K. Salameh, H. Kashani Zadeh, and F. Vasefi, “Toward an Intelligent Blockchain IoT-Enabled Fish Supply Chain: A Review and Conceptual Framework,” Sensors, vol. 23, no. 11, 2023, doi: 10.3390/s23115136.
[30] J. Vummadi and K. Hajarath, “Integration of Emerging Technologies AI and ML into Strategic Supply Chain Planning Processes to Enhance Decision-Making and Agility,” International Journal of Supply Chain Management, vol. 9, no. 2, pp. 77–87, 2024, doi: 10.47604/ijscm.2547.
[31] C. Trivedi et al., “Explainable AI for Industry 5.0: Vision, Architecture, and Potential Directions,” IEEE Open Journal of Industry Applications, vol. 5, no. July 2023, pp. 177–208, 2024, doi: 10.1109/OJIA.2024.3399057.
[32] S. Trivedi and S. Negi, “The metaverse in supply chain management: application and benefits,” International Journal of Advanced Virtual Reality, vol. 1, no. 1, pp. 36–43, 2023, [Online]. Available: http://www.journals.leukolion.com/index.php/ijavr/article/view/15
[33] S. Orofino, G. McDonald, J. Mayorga, C. Costello, and D. Bradley, “Opportunities and challenges for improving fisheries management through greater transparency in vessel tracking,” ICES Journal of Marine Science, vol. 80, no. 4, pp. 675–689, 2023, doi: 10.1093/icesjms/fsad008.
[34] N. J. Rowan, “The role of digital technologies in supporting and improving fishery and aquaculture across the supply chain – Quo Vadis?,” Jul. 01, 2023, KeAi Communications Co. doi: 10.1016/j.aaf.2022.06.003.
[35] G. M. Razak, L. C. Hendry, and M. Stevenson, “Supply chain traceability: a review of the benefits and its relationship with supply chain resilience,” Production Planning and Control, vol. 34, no. 11, pp. 1114–1134, 2023, doi: 10.1080/09537287.2021.1983661.
[36] U. Tokkozhina, A. L. Martins, and J. C. Ferreira, “Multi-tier supply chain behavior with blockchain technology: evidence from a frozen fish supply chain,” Operations Management Research, vol. 16, no. 3, pp. 1562–1576, Sep. 2023, doi: 10.1007/s12063-023-00377-w.
[37] G. Tortorella, F. S. Fogliatto, S. Gao, and T. K. Chan, “Contributions of Industry 4.0 to supply chain resilience,” Apr. 19, 2022, Emerald Group Holdings Ltd. doi: 10.1108/IJLM-12-2020-0494.
[38] T. S. Deepu and V. Ravi, “A review of literature on implementation and operational dimensions of supply chain digitalization: Framework development and future research directions,” Apr. 01, 2023, Elsevier B.V. doi: 10.1016/j.jjimei.2023.100156.
[39] R. R. Corsini, A. Costa, S. Fichera, and J. M. Framinan, “Digital twin model with machine learning and optimization for resilient production–distribution systems under disruptions,” Comput. Ind. Eng., vol. 191, no. September 2023, p. 110145, 2024, doi: 10.1016/j.cie.2024.110145.
[40] X. Sun, H. Yu, W. D. Solvang, Y. Wang, and K. Wang, “The application of Industry 4.0 technologies in sustainable logistics: a systematic literature review (2012–2020) to explore future research opportunities,” Feb. 01, 2022, Springer Science and Business Media Deutschland GmbH. doi: 10.1007/s11356-021-17693-y.
[41] A. Z. Abideen, V. P. K. Sundram, J. Pyeman, A. K. Othman, and S. Sorooshian, “Digital Twin Integrated Reinforced Learning in Supply Chain and Logistics,” Logistics, vol. 5, no. 4, p. 84, 2021, doi: 10.3390/logistics5040084.
[42] A. S. Pol et al., “Relevance of Data Analytics in Sustainable Fisheries Management: an Evidence-Based Study,” Acta Scientiarum Polonorum Formatio Circumiectus, vol. 22, no. 4, pp. 49–74, 2023, [Online]. Available: doi: 10.15576/ASP.FC/2023.22.4.18
[43] V. Varriale, A. Cammarano, F. Michelino, and M. Caputo, “Sustainable supply chains with blockchain, IoT and RFID: A simulation on order management,” Sustainability (Switzerland), vol. 13, no. 11, 2021, doi: 10.3390/su13116372.
[44] D. Ivanov, “Conceptualisation of a 7-element digital twin framework in supply chain and operations management,” Int. J. Prod. Res., vol. 62, no. 6, pp. 2220–2232, Mar. 2024, doi: 10.1080/00207543.2023.2217291.
[45] I. Abouzid and R. Saidi, “Digital twin implementation approach in supply chain processes,” Sci. Afr., vol. 21, Sep. 2023, doi: 10.1016/j.sciaf.2023.e01821.
[46] A. Dolgui and D. Ivanov, “Metaverse supply chain and operations management,” Int. J. Prod. Res., vol. 61, no. 23, pp. 8179–8191, 2023, doi: 10.1080/00207543.2023.2240900.
[47] C. Marinagi, “The Impact of Industry 4.0 Technologies on Key Performance Indicators for a Resilient Supply Chain 4.0,” Sustainability (Switzerland), vol. 15, no. 6, 2023, doi: 10.3390/su15065185.
[48] D. I. Onwude, “Recent advances in reducing food losses in the supply chain of fresh agricultural produce,” Processes, vol. 8, no. 11, pp. 1–31, 2020, doi: 10.3390/pr8111431.
[49] Mileti, D. Arduini, G. Watson, and A. Giangrande, “Blockchain Traceability in Trading Biomasses Obtained with an Integrated Multi-Trophic Aquaculture,” Sustainability (Switzerland), vol. 15, no. 1, pp. 1–14, 2023, doi: 10.3390/su15010767.
[50] N. Bernards, M. Campbell-Verduyn, and D. Rodima-Taylor, “The veil of transparency: Blockchain and sustainability governance in global supply chains,” Environment and Planning C: Politics and Space, vol. 42, no. 5, pp. 742–760, 2024, doi: 10.1177/23996544221142763.
[51] A. Al Tera, A. Alzubi, and K. Iyiola, “Supply chain digitalization and performance: A moderated mediation of supply chain visibility and supply chain survivability,” Heliyon, vol. 10, no. 4, Feb. 2024, doi: 10.1016/j.heliyon.2024.e25584.
[52] N. Anumbe, C. Saidy, and R. Harik, “A Primer on the Factories of the Future,” Aug. 01, 2022, MDPI. doi: 10.3390/s22155834.
[53] B. Gerlach, S. Zarnitz, B. Nitsche, and F. Straube, “Digital Supply Chain Twins—Conceptual Clarification, Use Cases and Benefits,” Logistics, vol. 5, no. 4, Dec. 2021, doi: 10.3390/logistics5040086.
[54] D. Lee and S. Lee, “Digital twin for supply chain coordination in modular construction,” Applied Sciences (Switzerland), vol. 11, no. 13, 2021, doi: 10.3390/app11135909.
[55] R. Alfred et al., “Modelling and Forecasting Fresh Agro-Food Commodity Consumption Per Capita in Malaysia Using Machine Learning,” Mobile Information Systems, vol. 2022, 2022, doi: 10.1155/2022/6106557.
[56] D. Ma, P. Ma, and J. Hu, “The Impact of Blockchain Technology Adoption on an E-Commerce Closed-Loop Supply Chain Considering Consumer Trust,” Sustainability (Switzerland), vol. 16, no. 4, 2024, doi: 10.3390/su16041535.
[57] Ö. Tozanlı, E. Kongar, and S. M. Gupta, “Evaluation of Waste Electronic Product Trade-in Strategies in Predictive Twin Disassembly Systems in the Era of Blockchain,” Sustainability, vol. 12, no. 13, p. 5416, Jul. 2020, doi: 10.3390/su12135416.
[58] W. M. S. K. Weerabahu, P. Samaranayake, D. Nakandala, and H. Hurriyet, “Digital supply chain research trends: a systematic review and a maturity model for adoption,” Dec. 01, 2023, Emerald Publishing. doi: 10.1108/BIJ-12-2021-0782.
[59] P. S. Kemp et al., “Future advances in UK marine fisheries policy: Integrated nexus management, technological advance, and shifting public opinion,” Mar. Policy, vol. 147, no. October 2022, p. 105335, 2023, doi: 10.1016/j.marpol.2022.105335.
[60] K. Yavaprabhas, M. Pournader, and S. Seuring, “Blockchain as the ‘trust-building machine’ for supply chain management,” Ann. Oper. Res., vol. 327, no. 1, pp. 49–88, 2023, doi: 10.1007/s10479-022-04868-0.
[61]E. P. Kechagias, S. P. Gayialis, G. A. Papadopoulos, and G. Papoutsis, “An Ethereum-Based Distributed Application for Enhancing Food Supply Chain Traceability,” Foods, vol. 12, no. 6, 2023, doi: 10.3390/foods12061220.
[62] J. C. Quiroz-Flores, M. F. Collao-Diaz, D. Sobya, and S. Nallusamy, “RFID Technology in Storage Management: A Bibliometric Study on Efficiency and Cost Reduction in the Retail Sector,” SSRG International Journal of Electronics and Communication Engineering, vol. 10, no. 10, pp. 1–13, 2023, doi: 10.14445/23488549/IJECE-V10I10P101.
[63] C. C. Kersten, J. M. C. Kerber, J. dos S. Silva, M. Bouzon, and L. M. de S. Campos, “Traceability in the agri-food supply chain: a new perspective under the Circular Economy approach,” Production, vol. 34, 2024, doi: 10.1590/0103-6513.20240009.
[64] A. Pigola, P. R. da Costa, L. C. Carvalho, L. F. da Silva, C. T. Kniess, and E. A. Maccari, “Artificial intelligence‐driven digital technologies to the implementation of the sustainable development goals: A perspective from Brazil and Portugal,” Sustainability (Switzerland), vol. 13, no. 24, 2021, doi: 10.3390/su132413669.
[65] M. A. Le-Dain, L. Benhayoun, J. Matthews, and M. Liard, “Barriers and opportunities of digital servitization for SMEs: the effect of smart Product-Service System business models,” Service Business, vol. 17, no. 1, pp. 359–393, Mar. 2023, doi: 10.1007/s11628-023-00520-4.
[66] R. Klar, N. Arvidsson, and V. Angelakis, “Digital Twins’ Maturity: The Need for Interoperability,” IEEE Syst. J., 2023, [Online]. Available: https://ieeexplore.ieee.org/abstract/document/10367836/
[67] J. Barata and I. Kayser, “How will the digital twin shape the future of industry 5.0?,” Jun. 01, 2024, Elsevier Ltd. doi: 10.1016/j.technovation.2024.103025.
[68] M. Berneis and H. Winkler, “Value Proposition Assessment of Blockchain Technology for Luxury, Food, and Healthcare Supply Chains,” Logistics, vol. 5, no. 4, 2021, doi: 10.3390/logistics5040085.
[69] A. Lagorio, C. Cimini, R. Pinto, and S. Cavalieri, “5G in Logistics 4.0: potential applications and challenges,” Procedia Comput. Sci., vol. 217, pp. 650–659, 2023, doi: 10.1016/j.procs.2022.12.261.
[70] M. Ibrahim, A. Rassõlkin, T. Vaimann, and A. Kallaste, “Overview on Digital Twin for Autonomous Electrical Vehicles Propulsion Drive System,” Sustainability (Switzerland), vol. 14, no. 2, 2022, doi: 10.3390/su14020601.
[71] U. Tokkozhina, A. L. Martins, and J. C. Ferreira, “Use of Blockchain Technology to Manage the Supply Chains: Comparison of Perspectives between Technology Providers and Early Industry Adopters,” Journal of Theoretical and Applied Electronic Commerce Research, vol. 17, no. 4, pp. 1616–1632, 2022, doi: 10.3390/jtaer17040082.
[72] S. Sengupta and H. Dreyer, “Realizing zero-waste value chains through digital twin-driven S&OP: A case of grocery retail,” Comput. Ind., vol. 148, p. 103890, 2023, doi: 10.1016/j.compind.2023.103890.
[73] H. Zhou, Q. Wang, L. Li, T. S. H. Teo, and S. Yang, “Supply chain digitalization and performance improvement: a moderated mediation model,” Supply Chain Management, 2023, doi: 10.1108/SCM-11-2022-0434.
[74] H. Omrany, K. M. Al-Obaidi, A. Husain, and A. Ghaffarianhoseini, “Digital Twins in the Construction Industry: A Comprehensive Review of Current Implementations, Enabling Technologies, and Future Directions,” Sustainability (Switzerland), vol. 15, no. 14, pp. 1–26, 2023, doi: 10.3390/su151410908.
[75] F. Ricardo et al., “Combined Use of Fatty Acid Profiles and Elemental Fingerprints to Trace the Geographic Origin of Live Baits for Sports Fishing: The Solitary Tube Worm (Diopatra neapolitana, Annelida, Onuphidae) as a Case Study,” Animals, vol. 14, no. 9, 2024, doi: 10.3390/ani14091361.
Article Sidebar
Published
Jun 30, 2026
Article Details
How to Cite
[1]
I. Dadi, I. A. Marie, D. Surjasa, and J. Gunawan, “AI, Blockchain, ERP, and Machine Learning in Fisheries Supply Chain Optimization: A Systematic Literature Review”, J. Optimasi Sist. Ind., vol. 25, no. 1, pp. 133–151, Jun. 2026.
Section
Articles
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright Ownership
- Authors who publish their articles in Jurnal Optimasi Sistem Industri (JOSI) retain full copyright of their work.
- JOSI does not require authors to transfer their copyright to the journal or its publisher, Universitas Andalas. The authors grant JOSI a license for first publication.
All articles published in Jurnal Optimasi Sistem Industri (JOSI) are licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license.
This means that users are free to:
- Share — copy and redistribute the material in any medium or format.
- Adapt — remix, transform, and build upon the material.
Under the following terms:
- Attribution (BY): You must give appropriate credit to the author(s) and JOSI as the original source of publication (including the article title, author(s) names, journal name, volume, issue, page numbers, year, and DOI), provide a link to the CC BY-NC-SA 4.0 license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- NonCommercial (NC): You may not use the material for commercial purposes.
- ShareAlike (SA): If you remix, transform, or build upon the material, you must distribute your contributions under the same CC BY-NC-SA 4.0 license as the original.
A link to the full license text should also be provided: https://creativecommons.org/licenses/by-nc-sa/4.0/
