Matopoulos, AristidesAbu-Abdoun, Dana I.Ekren, Banu Yetkin2026-04-072026-04-0720252405-89712405-896310.1016/j.ifacol.2025.09.1132-s2.0-105018797603https://hdl.handle.net/123456789/14055https://doi.org/10.1016/j.ifacol.2025.09.113Additive Manufacturing (AM) is reshaping supply chain (SC) structures by enabling decentralised production, digital inventories, and on-demand manufacturing. These transformations demand new decision-making approaches to manage disruptions in SC configuration, inventory management, supplier selection, and manufacturing design. This study systematically reviews 27 peerreviewed studies to assess decision-support tools such as optimisation models, simulation techniques, and multi-criteria decision-making (MCDM) frameworks used to facilitate AM integration. A structured mapping is proposed to map AM-induced SC changes to appropriate decision tools. The findings provide structured insights to enhance SC performance, adaptability, and resilience in AM-enabled environments. Copyright (c) 2025 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)eninfo:eu-repo/semantics/openAccessAdditive ManufacturingDecision-makingDecision Support SystemsSupply Chain ManagementMulti-Criteria Decision MakingConference Object