Manuscript Number : GISRRJ225421

Green Supply Chain Design Using Lifecycle Emissions Assessment Models

Authors(3) :-Caroline Ogayemi, Opeyemi Morenike Filani, Grace Omotunde Osho

Green supply chain design has emerged as a critical approach for achieving environmental sustainability and reducing the carbon footprint of industrial operations. This study explores the integration of Lifecycle Emissions Assessment Models (LCAM) into the design and optimization of green supply chains, offering a comprehensive method for quantifying and minimizing environmental impacts across all stages of the product lifecycle. By applying LCAM, the research evaluates emissions generated during raw material extraction, manufacturing, distribution, usage, and end-of-life disposal. The objective is to develop a decision-support framework that enables organizations to identify environmentally optimal supply chain configurations without compromising economic viability. A multi-stage model is constructed to incorporate emissions data into supply chain design decisions, using case studies from the automotive and electronics sectors. The study adopts a mixed-method approach, combining process-based lifecycle analysis with optimization techniques to compare alternative sourcing, production, and distribution strategies. Results reveal that upstream activities such as raw material sourcing and transportation significantly contribute to total lifecycle emissions. Furthermore, the analysis indicates that integrating renewable energy, localized sourcing, and reverse logistics can lead to a substantial reduction in overall carbon emissions and environmental impact. The proposed framework supports decision-makers in embedding sustainability into core supply chain strategies by providing measurable insights into emissions trade-offs. It also facilitates compliance with international environmental regulations and corporate social responsibility goals. The study emphasizes the importance of data accuracy, cross-functional collaboration, and digital tools such as emissions tracking software and AI-driven analytics in enabling effective implementation. By bridging the gap between lifecycle assessment and supply chain design, this research contributes to the advancement of environmentally responsible supply chain practices. Future work may extend the model to incorporate social impact metrics and real-time carbon accounting systems. This work underscores the critical role of LCAM in transitioning toward greener, more resilient, and ethically aligned supply chains in the context of global climate objectives.

Authors and Affiliations

Caroline Ogayemi
AstraZeneca Pharmaceuticals, Nigeria
Opeyemi Morenike Filani
Proburg Ltd, Lagos, Nigeria
Grace Omotunde Osho
Guinness Nig. Plc, Nigeria

Green Supply Chain, Lifecycle Emissions Assessment, Sustainable Logistics, Carbon Footprint, Environmental Impact, Lifecycle Analysis, Reverse Logistics, Supply Chain Optimization, Emissions Modeling, Eco-Efficiency.

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Publication Details

Published in : Volume 5 | Issue 4 | July-August 2022
Date of Publication : 2022-07-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 296-328
Manuscript Number : GISRRJ225421
Publisher : Technoscience Academy

ISSN : 2582-0095

Cite This Article :

Caroline Ogayemi, Opeyemi Morenike Filani, Grace Omotunde Osho, "Green Supply Chain Design Using Lifecycle Emissions Assessment Models", Gyanshauryam, International Scientific Refereed Research Journal (GISRRJ), ISSN : 2582-0095, Volume 5, Issue 4, pp.296-328, July-August.2022
URL : https://gisrrj.com/GISRRJ225421

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