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Supplementary data for numerical experiments conducted in Cell Ag Supply Chain Design Paper

Description: Cellular agriculture, which produces animal-derived products via biotechnological processes, has the potential to mitigate the negative impacts of traditional methods of meat and dairy production such as elevated greenhouse gas emissions, depletion and degradation of arable lands, and waterway pollution. However, lifecycle assessments for cultured meat production processes suggests that additional environmental and cost improvements are needed to compete with traditional meat production methods. Adoption of circular supply chains can improve the economic and environmental outcomes of production processes. In cultured meat production, the use of agricultural byproducts such as hydrolyzed soymeal, as a cheap alternative to chemically defined amino acids holds much promise for reducing cost and environmental impacts. However, their impact on production efficiency is largely unknown. The aim of this paper is to develop a novel exploratory supply chain model for a viable large-scale cellular agriculture network that considers facility location, ingredient blending, capacity design and technology selection problems. A mixed integer linear programming model is developed to investigate the dynamics between demand, capacity design, location, blending and technology selection decisions. Useful managerial insights are developed through various computational experiments including iso-cost curves to help decision-makers design the optimal blending of pure (pharmaceutically sourced) and chemically undefined byproduct ingredients.
Notes: Dawne Skinner, John Blake, Claver Diallo (2024) Towards Cellular Agriculture: An Exploratory Supply Chain Model, submitted to Elsevier. It is under review and has not been accepted yet.
Item exited embargo and became publicly available on 2024-06-19
Authors: Skinner, Dawne DS; Dalhousie University
Blake, John JTB; Dalhousie University
Diallo, Claver CSHD; Dalhousie University; ORCID iD 0000-0002-7381-2187
Keywords: Cellular agriculture
Circular supply chain design
Optimization
Field of Research: 
Industrial, systems and processes engineering
>
Biosystems and agricultural engineering
>
Biosystems and agricultural engineering, not elsewhere classified

Industrial, systems and processes engineering
>
Operational research
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Programming in operational research (including linear and nonlinear programming)
Publication Date: 2024-06-19
Publisher: Federated Research Data Repository / dépôt fédéré de données de recherche
Funder: Mitacs; Optimizing cellular agriculture supply chains for social, environmental and economic benefits; IT33679
New Harvest Inc.; Optimizing cellular agriculture supply chains for social, environmental and economic benefits; IT33679
URI: https://doi.org/10.20383/103.0970
Related Identifiers: 




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Geographic Coverage: 
Place Name
Northwest and central USA
Country
United States

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Access to this dataset is subject to the following terms:
Creative Commons Public Domain Dedication (CC0 1.0) https://creativecommons.org/publicdomain/zero/1.0/
Citation
Skinner, D., Blake, J., Diallo, C. (2024). Supplementary data for numerical experiments conducted in Cell Ag Supply Chain Design Paper. Federated Research Data Repository. https://doi.org/10.20383/103.0970