Decision-making in additive manufacturing supply chains: a systematic literature review
| dc.contributor.author | Abu-Abdoun, Dana I. | |
| dc.contributor.author | Ekren, Banu Y. | |
| dc.contributor.author | Matopoulos, Aristides | |
| dc.date.accessioned | 2025-10-15T12:47:11Z | |
| dc.date.available | 2025-10-15T12:47:11Z | |
| dc.date.freetoread | 2025-10-15 | |
| dc.date.issued | 2025-10-01 | |
| dc.date.pubOnline | 2025-09-27 | |
| dc.description | 11th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2025: 30 June – 3 July 2025, Trondheim, Norway | |
| 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 peer-reviewed 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. | |
| dc.description.journalName | IFAC-PapersOnLine | |
| dc.format.extent | pp. 661-666 | |
| dc.identifier.citation | Abu-Abdoun DI, Ekren BY, Matopoulos A. (2025) Decision-making in additive manufacturing supply chains: a systematic literature review. IFAC-PapersOnLine, Volume 59, Issue 10, October 2025, pp. 661-666 | en_UK |
| dc.identifier.elementsID | 865767 | |
| dc.identifier.issn | 2405-8963 | |
| dc.identifier.issueNo | 10 | |
| dc.identifier.uri | https://doi.org/10.1016/j.ifacol.2025.09.113 | |
| dc.identifier.uri | https://dspace.lib.cranfield.ac.uk/handle/1826/24534 | |
| dc.identifier.volumeNo | 59 | |
| dc.language | English | |
| dc.language.iso | en | |
| dc.publisher | Elsevier | en_UK |
| dc.publisher.uri | https://www.sciencedirect.com/science/article/pii/S2405896325008742?via%3Dihub | |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | 4014 Manufacturing Engineering | en_UK |
| dc.subject | 40 Engineering | en_UK |
| dc.subject | Generic health relevance | en_UK |
| dc.subject | 9 Industry, Innovation and Infrastructure | en_UK |
| dc.subject | 4007 Control engineering, mechatronics and robotics | en_UK |
| dc.subject | 4008 Electrical engineering | en_UK |
| dc.subject | Additive Manufacturing | en_UK |
| dc.subject | Supply Chain Management | en_UK |
| dc.subject | Decision-Making | en_UK |
| dc.subject | Multi-Criteria Decision Making | en_UK |
| dc.subject | Decision Support Systems | en_UK |
| dc.title | Decision-making in additive manufacturing supply chains: a systematic literature review | en_UK |
| dc.type | Article | |
| dcterms.dateAccepted | 2025-02-15 |