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ZENODO
Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Sustainable Inventory Model for Waste Reduction Strategies and the Role of 3d Printing in Supply Chains

Authors: Archit Jain; Lakhan Singh;

Sustainable Inventory Model for Waste Reduction Strategies and the Role of 3d Printing in Supply Chains

Abstract

This study investigates the role of 3D printing as a transformative enabler of waste reduction and sustainable inventory management within modern supply chains. Traditional manufacturing systems are dominated by subtractive processes that generate excessive material waste, high energy consumption, and significant environmental burdens. In contrast, additive manufacturing fabricates products layer-by-layer with precise material control, leading to substantial reductions in production waste. The paper explores how 3D printing aligns with circular economy principles by facilitating recycling, reuse, and decentralised on-demand manufacturing. Empirical data, case studies, and visual analyses are used to compare conventional manufacturing systems with 3D printing in terms of waste generation, recycling efficiency, and carbon emissions. Results show that 3D printing achieves significant reductions in material waste, carbon dioxide emissions, and volatile organic compound emissions when compared to traditional production methods. The integration of recycled filaments such as PLA and PET further enhances sustainability by reducing landfill disposal and dependence on virgin materials. The study also highlights the impact of 3D printing on digital inventory and supply chain optimisation. On-demand production minimises overstocking, reduces storage requirements, and lowers transportation-related emissions. The paper concludes that strategic adoption of 3D printing, supported by policy frameworks and technological advancements, can substantially contribute to sustainable manufacturing, waste minimisation, and circular economy implementation in supply chains.

Keywords

Inventory, Waste, Recycling, Sustainability, Printing, Optimisation, Emissions, Circularity.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green