Decision-Making in Additive Manufacturing Supply Chains: A Systematic Literature Review
| dc.contributor.author | Matopoulos, Aristides | |
| dc.contributor.author | Abu-Abdoun, Dana I. | |
| dc.contributor.author | Ekren, Banu Yetkin | |
| dc.date.accessioned | 2026-04-07T11:52:35Z | |
| dc.date.available | 2026-04-07T11:52:35Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | Additive 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/) | |
| dc.description.sponsorship | et al.; International Federation of Automatic Control (IFAC) - Management and Control in Manufacturing and Logistics, TC 5.2.; International Federation of Automatic Control (IFAC) - TC 1.3. Discrete Event and Hybrid Systems; International Federation of Automatic Control (IFAC) - TC 3.2. Computational Intelligence in Control; International Federation of Automatic Control (IFAC) - TC 5.1. Manufacturing Plant Control; International Federation of Automatic Control (IFAC) - TC 7.4. Transportation Systems | |
| dc.identifier.doi | 10.1016/j.ifacol.2025.09.113 | |
| dc.identifier.issn | 2405-8971 | |
| dc.identifier.issn | 2405-8963 | |
| dc.identifier.scopus | 2-s2.0-105018797603 | |
| dc.identifier.uri | https://hdl.handle.net/123456789/14055 | |
| dc.identifier.uri | https://doi.org/10.1016/j.ifacol.2025.09.113 | |
| dc.language.iso | en | |
| dc.publisher | Elsevier | |
| dc.relation.ispartof | 11th IFAC Conference on Manufacturing Modelling, Management and Control (MIM) -- JUN 30-JUL 03, 2025 -- Trondheim, NORWAY | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | Additive Manufacturing | |
| dc.subject | Decision-making | |
| dc.subject | Decision Support Systems | |
| dc.subject | Supply Chain Management | |
| dc.subject | Multi-Criteria Decision Making | |
| dc.title | Decision-Making in Additive Manufacturing Supply Chains: A Systematic Literature Review | en_US |
| dc.type | Conference Object | |
| dspace.entity.type | Publication | |
| gdc.author.id | Abu-Abdoun, Dana/0000-0003-3699-8020 | |
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| gdc.description.department | ||
| gdc.description.departmenttemp | [Abu-Abdoun, Dana I.; Ekren, Banu Yetkin; Matopoulos, Aristides] Cranfield Univ, Ctr Logist Procurement & Supply Chain Management, Sch Management, Bedford, England; [Ekren, Banu Yetkin] Yasar Univ, Dept Ind Engn, Izmir, Turkiye | |
| gdc.description.endpage | 666 | |
| gdc.description.issue | 10 | |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
| gdc.description.startpage | 661 | |
| gdc.description.volume | 59 | |
| gdc.description.woscitationindex | Conference Proceedings Citation Index - Science | |
| gdc.identifier.openalex | W4414567680 | |
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| gdc.virtual.author | Yetkin Ekren, Banu | |
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