JOURNAL ARTICLE

Enhancing Supply Chain Resilience in 3D Printing: Strategies for Material Manufacturers in FDM, SLA, SLS, and FGF Technologies.

  • Published In: IUP Journal of Supply Chain Management, 2025, v. 22, n. 2. P. 5 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Sanku, Prajan; Sanku, Sarath Chandar Rao 3 of 3

Abstract

The supply chain for 3D printing materials faces significant challenges, including inconsistent material quality, fragmented supplier networks, and complex regulatory compliance. Material manufacturers for Fused Deposition Modeling (FDM), Stereolithography (SLA), Selective Laser Sintering (SLS), and Fused Granular Fabrication (FGF) technologies face unique logistical challenges, including market volatility in FDM, short resin shelf lives in SLA, batch management requirements in SLS, and irregular large-scale demand for FGF. These issues are further compounded by sourcing limitations and variability in recycled materials, which lead to inefficiencies and supply disruptions. This study examines these challenges through a qualitative analysis of academic literature, industry reports, regulatory frameworks such as REACH and RoHS, and standards including ASTM and ISO. To address these supply chain inefficiencies, tailored solutions are proposed: Just-in-Time (JIT) and dynamic Vendor-Managed Inventory (dVMI) for FDM, batch-based production and rolling forecasts for SLA, Batch-Specific Demand Planning for SLS, and Capacity Reservation strategies for FGF. Additionally, the integration of digital tools such as IoT tracking, predictive analytics, and real-time demand monitoring enhances efficiency, adaptability, and compliance. By focusing on material manufacturers rather than end-use applications, this study fills a critical gap in 3D printing supply chain research. It offers targeted strategies to optimize material sourcing, quality control, and regulatory adherence. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:IUP Journal of Supply Chain Management. 2025/04, Vol. 22, Issue 2, p5
  • Document Type:Article
  • Subject Area:Business and Management
  • Publication Date:2025
  • ISSN:0972-9267
  • DOI:10.71329/IUPJSCM/2025.22.2.5-38
  • Accession Number:187632941
  • Copyright Statement:Copyright of IUP Journal of Supply Chain Management is the property of IUP Publications and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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