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Optimizing global food supply chains: The case for blockchain and GSI standards

ABSTRACT: This chapter examines the integration of GS1 standards with the functional components of blockchain technology as an approach to realize a coherent standardized framework of industry-based tools for successful food supply chains (FSCs) transformation. The globalization of food systems has engendered significant changes to the operation and structure of FSCs. Alongside increasing consumer demands for safe and sustainable food products, FSCs are challenged with issues related to information transparency and consumer trust. Uncertainty in matters of transparency and trust arises from the growing information asymmetry between food producers and food consumers, in particular, how and where food is cultivated, harvested, processed, and under what conditions. FSCs are tasked with guaranteeing the highest standards in food quality and food safety—ensuring the use of safe and authentic ingredients, limiting product perishability, and mitigating the risk of opportunism, such as quality cheating or falsification of information. A sustainable, food-secure world will require multidirectional sharing of information and enhanced information symmetry between food producers and food consumers. The need for information symmetry will drive transformational changes in FSCs methods of practice and will require a coherent standardized framework of best practice recommendations to manage logistic units in the food chain. A standardized framework will enhance food traceability, drive FSC efficiencies, enable data interoperability, improve data governance practices, and set supply chain identification standards for products and assets (what), exchange parties (who), locations (where), business processes (why), and sequence (when).

SUBMITTER: Keogh J

PROVIDER: S-EPMC7561516 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

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Project description:In the post-pandemic era, food supply chains and firms therein are facing unprecedented severe challenges, because once infection is detected, numerous products must be recalled or abandoned, and both suppliers and retailers in the supply chain suffer enormous loss. To survive under the pandemic, retailers have adopted different sourcing strategies, such as contingent sourcing, which, in turn, affect the upstream suppliers and hence the resilience of the whole supply chain. With the rapid development of digital technologies, retailers nowadays can utilize blockchain as a reliable and efficient way to reduce product risk and hence advance the resilience of food supply chains by improving product traceability and inspection accuracy, and making sourcing transparent. In this paper, we develop a game-theoretic model to investigate the interrelation between the retailer’s decisions on blockchain adoption and sourcing strategies. We consider that a retailer originally orders from a risky supplier while conducting an imperfect inspection to detect infected products before selling. The retailer may speculatively keep on ordering from the risky supplier or adopt contingent sourcing by ordering from an alternative safe supplier. The retailer also has an option to implement blockchain to improve the inspection accuracy and product traceability. We derive the optimal retail prices under different sourcing strategies with and without blockchain adoption and then analyze the incentives for sourcing strategy and blockchain adoption. Then, we identify the conditions of an all-win situation for food retailer, supplier, supply chain resilience, and consumers with/without government subsidy. Finally, we extend to consider the situation that some consumers have health-safety concerns and preferences for blockchain adoption. Electronic Supplementary Material Supplementary material is available in the online version of this article at 10.1007/s42524-022-0232-2 and is accessible for authorized users.

Project description:Pseudomonas putida DOT-T1E was used as a model to develop a "phenomics" platform to investigate the ability of P. putida to grow using different carbon, nitrogen, and sulfur sources and in the presence of stress molecules. Results for growth of wild-type DOT-T1E on 90 different carbon sources revealed the existence of a number of previously uncharted catabolic pathways for compounds such as salicylate, quinate, phenylethanol, gallate, and hexanoate, among others. Subsequent screening on the subset of compounds on which wild-type DOT-TIE could grow with four knockout strains in the global regulatory genes Deltacrc, Deltacrp, DeltacyoB, and DeltaptsN allowed analysis of the global response to nutrient supply and stress. The data revealed that most global regulator mutants could grow in a wide variety of substrates, indicating that metabolic fluxes are physiologically balanced. It was found that the Crc mutant did not differ much from the wild-type regarding the use of carbon sources. However, certain pathways are under the preferential control of one global regulator, i.e., metabolism of succinate and d-fructose is influenced by CyoB, and l-arginine is influenced by PtsN. Other pathways can be influenced by more than one global regulator; i.e., l-valine catabolism can be influenced by CyoB and Crp (cyclic AMP receptor protein) while phenylethylamine is affected by Crp, CyoB, and PtsN. These results emphasize the cross talk required in order to ensure proper growth and survival. With respect to N sources, DOT-T1E can use a wide variety of inorganic and organic nitrogen sources. As with the carbon sources, more than one global regulator affected growth with some nitrogen sources; for instance, growth with nucleotides, dipeptides, d-amino acids, and ethanolamine is influenced by Crp, CyoB, and PtsN. A surprising finding was that the Crp mutant was unable to flourish on ammonium. Results for assayed sulfur sources revealed that CyoB controls multiple points in methionine/cysteine catabolism while PtsN and Crc are needed for N-acetyl-l-cysteamine utilization. Growth of global regulator mutants was also influenced by stressors of different types (antibiotics, oxidative agents, and metals). Overall and in combination with results for growth in the presence of various stressors, these phenomics assays provide multifaceted insights into the complex decision-making process involved in nutrient supply, optimization, and survival.

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Optimizing global food supply chains: The case for blockchain and GSI standards

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