Decarbonizing Global Supply Networks: Optimization Review of Net-Zero Freight, Green Procurement, and Circular Economy Resource Flows

Chinelo Faustina Nzoiwu1, Charles Chikwendu Okpala2, Ugochukwu Richards Orji3

1 Lecturer, Mechanical Engineering Department, Federal Polytechnic, Oko, Nigeria.

2 Professor, Industrial/Production Engineering Department, Nnamdi Azikiwe University, Awka, Nigeria.

3 Lecturer, Industrial/Production Engineering Department, Nnamdi Azikiwe University, Awka, Nigeria.

Abstract

Global supply networks are among the most powerful engines of economic growth, yet they remain a dominant source of greenhouse gas emissions through carbon-intensive freight transportation, upstream procurement activities, and linear material consumption systems. The attainment of net-zero supply chains therefore requires integrated, data-driven decision frameworks that are capable of simultaneously optimizing logistics operations, supplier portfolios, and circular resource recovery flows. This article provides a multidisciplinary optimization review of three interconnected decarbonization levers: net-zero freight systems, green procurement and sustainable supplier selection, as well as circular economy resource flow integration. Drawing on recent advances in mixed-integer linear programming, multi-objective optimization, digital twin modeling, and AI-enabled analytics, the study synthesizes methodological innovations that embed lifecycle carbon accounting directly into multi-echelon supply network design. Evidence from the literature indicates that isolated interventions such as freight modal shifts and routing optimization can reduce logistics emissions by 15–30%, while supplier decarbonization strategies yield embodied carbon reductions of 20–40%. Circular economy adoption through closed-loop logistics and secondary material substitution further enables lifecycle emission savings of 25–60% depending on recovery rates and sectoral context. Building on these insights, the article introduces the Carbon-Optimized Circular Freight-Procurement Network (CO-CFPN) framework, which demonstrates that fully integrated optimization across freight, sourcing, and circular flows can generate compounded emissions reductions of 35–60% relative to cost-only baseline networks. The paper concludes with a future research agenda that emphasizes interoperable carbon data infrastructures, hybrid AI–optimization systems, and policy-aligned modeling to accelerate scalable net-zero transitions across global supply networks.

Keywords: Net-zero freight; Low-carbon logistics; Green procurement; Supplier Optimization; Circular Economy, Carbon-aware supply chains; Multi-objective optimization

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Rajshahi Medical College and University of Rajshahi, BANGLADESH.



Royal Melbourne Institute of Technology (RMIT), Melbourne, AUSTRALIA.




Agri. Services, Islamabad Model College for Girls, and Riphah International University, PAKISTAN.




Kampala International University, UGANDA; Rivers State University, NIGERIA.