Optimizing Scope 3 Carbon Emission Reduction Strategies in Tier-2 Supplier Networks Using Lifecycle Assessment and Multi-Objective Genetic Algorithms

Authors

  • Bamidele Samuel Adelusi  Independent Researcher, Texas, USA
  • Abel Chukwuemeke Uzoka  United Parcel Service, Inc. (UPS), Parsippany, New Jersey, USA
  • Yewande Goodness Hassan  Casava MicroInsurance Ltd, Nigeria
  • Favour Uche Ojika  Independent Researcher, Minnesota, USA

Keywords:

Scope 3 Emissions, Lifecycle Assessment (LCA), Multi-Objective Genetic Algorithm (MOGA), Tier-2 Supplier Optimization, Sustainable Supply Chain Management

Abstract

Scope 3 emissions—indirect emissions from upstream and downstream activities—constitute the most challenging component of corporate carbon footprints, particularly in complex Tier-2 supplier networks where data transparency and operational alignment are limited. This study presents an integrated framework leveraging Lifecycle Assessment (LCA) and Multi-Objective Genetic Algorithms (MOGA) to optimize carbon reduction strategies across dispersed supply chains. By incorporating empirical LCA data into a MOGA-based optimization model, the framework identifies Pareto-efficient solutions that balance carbon minimization, supplier compliance costs, and operational continuity. The model is tested across case scenarios with varying emission intensities, enabling adaptive strategy formulation under uncertainty. Priority is given to sector-specific emissions profiles and data structures to ensure relevance in high-emitting industries like manufacturing and energy. Additionally, the research synthesizes insights from AI-driven decision models and sustainability-oriented supplier engagement frameworks. Results underscore the importance of integrating predictive analytics and digital supply chain visibility tools to foster accountability and accelerate Scope 3 decarbonization. This work contributes a scalable methodological blueprint for firms aiming to meet Net-Zero targets through intelligent, multi-tiered supply chain interventions.

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International Journal of Scientific Research in Science and Technology

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Published

2023-12-30

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Volume 10, Issue 6, November-December-2023

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Research Articles

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How to Cite

[1]
Bamidele Samuel Adelusi, Abel Chukwuemeke Uzoka, Yewande Goodness Hassan, Favour Uche Ojika "Optimizing Scope 3 Carbon Emission Reduction Strategies in Tier-2 Supplier Networks Using Lifecycle Assessment and Multi-Objective Genetic Algorithms" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 10, Issue 6, pp.710-723, November-December-2023.