Block-chain Aided Cluster Based Logistic Network for Food Supply Chain
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, ISSN: 1867-822X, Vol: 491 LNICST, Page: 422-434
2023
- 3Citations
- 22Captures
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Conference Paper Description
Consumers are increasingly more concerned about the social and environmental food sustainability. Merchants, distributors, processors, and farmers are more worried about the traceability, safety, and sustainability of their products. Food supply chains are more responsive, and efficient regarding consumer demands and requirements. However, digitizing a food supply chain is difficult, resource-intensive, and time-consuming. The objective of this study is to conduct route analyses and increase the efficiency of the local food supply chain. Competitors need to work together with suppliers, distributors, and end-user to coordinate their businesses. Thus, we propose a Blockchain-aided cluster-based logistic network called BCLN to improve the efficacy of logistics, reduce the impact on the environment, and increase the potential market for food producers. We integrate blockchain technology to improve consumers’ ability and trace the origin of food products. To map the locations of producers and Large Scale Food Distribution centers (LSFDCs), a location analysis was carried out using a Geographic Information System (GIS). Also, a cluster of producers was created, and the best product collection centers (CC) were identified. As a result, total pollution emitted by vehicles has decreased. This model is required for improving logistics efficiency and economic benefits, capturing the potential market, ensuring food and service quality, and traceability of food quality.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85164204197&origin=inward; http://dx.doi.org/10.1007/978-3-031-34622-4_34; https://link.springer.com/10.1007/978-3-031-34622-4_34; https://dx.doi.org/10.1007/978-3-031-34622-4_34; https://link.springer.com/chapter/10.1007/978-3-031-34622-4_34
Springer Science and Business Media LLC
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