State of the Art of Digital Twins in Improving Supply Chain Resilience
<i>Background</i>: In today’s complex and rapidly changing global markets, supply chain resilience (SCR) has become critical for businesses aiming to maintain continuity and competitive advantage. Disruptions and challenges in the supply chain will always exist; therefore, preparing in a...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-02-01
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| Series: | Logistics |
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| Online Access: | https://www.mdpi.com/2305-6290/9/1/22 |
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| author | Eugenia-Alina Roman Armand-Serban Stere Eugen Roșca Adriana-Valentina Radu Denis Codroiu Ilie Anamaria |
| author_facet | Eugenia-Alina Roman Armand-Serban Stere Eugen Roșca Adriana-Valentina Radu Denis Codroiu Ilie Anamaria |
| author_sort | Eugenia-Alina Roman |
| collection | DOAJ |
| description | <i>Background</i>: In today’s complex and rapidly changing global markets, supply chain resilience (SCR) has become critical for businesses aiming to maintain continuity and competitive advantage. Disruptions and challenges in the supply chain will always exist; therefore, preparing in advance and improving resilience for the upcoming consequences should be the utmost important goal. <i>Methods</i>: Digital twins (DTs) provide a comprehensive view of product performance, enabling companies to adopt an end-to-end approach to product management. To maximize product and service value, supply chains must also be managed holistically. <i>Results</i>: Therefore, companies will need smarter strategies to balance inventory costs, availability and lead times. The optimal setup of suppliers, manufacturing, logistics and stock locations will ensure high service levels and meet customer expectations. Additionally, supply chains must be resilient, and capable of maintaining performance during disruptions and adapting to demand changes. <i>Conclusions</i>: This paper aims to provide a comprehensive review of the state of the art in digital twin applications within supply chains, focusing on their role in improving visibility, agility and decision-making. This paper explores how digital twins might integrate with emerging technologies such as IoT, AI and blockchain, fostering a more adaptive and robust supply chain ecosystem. |
| format | Article |
| id | doaj-art-9e58012c5ff24926b65329a32d1fbabc |
| institution | Kabale University |
| issn | 2305-6290 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Logistics |
| spelling | doaj-art-9e58012c5ff24926b65329a32d1fbabc2025-08-20T03:34:52ZengMDPI AGLogistics2305-62902025-02-01912210.3390/logistics9010022State of the Art of Digital Twins in Improving Supply Chain ResilienceEugenia-Alina Roman0Armand-Serban Stere1Eugen Roșca2Adriana-Valentina Radu3Denis Codroiu4Ilie Anamaria5Transport Faculty, National University for Science and Technology Politehnica Bucharest, Spl. Independentei, No 313, RO-060042 Bucharest, RomaniaTransport Faculty, National University for Science and Technology Politehnica Bucharest, Spl. Independentei, No 313, RO-060042 Bucharest, RomaniaTransport Faculty, National University for Science and Technology Politehnica Bucharest, Spl. Independentei, No 313, RO-060042 Bucharest, RomaniaTransport Faculty, National University for Science and Technology Politehnica Bucharest, Spl. Independentei, No 313, RO-060042 Bucharest, RomaniaTransport Faculty, National University for Science and Technology Politehnica Bucharest, Spl. Independentei, No 313, RO-060042 Bucharest, RomaniaTransport Faculty, National University for Science and Technology Politehnica Bucharest, Spl. Independentei, No 313, RO-060042 Bucharest, Romania<i>Background</i>: In today’s complex and rapidly changing global markets, supply chain resilience (SCR) has become critical for businesses aiming to maintain continuity and competitive advantage. Disruptions and challenges in the supply chain will always exist; therefore, preparing in advance and improving resilience for the upcoming consequences should be the utmost important goal. <i>Methods</i>: Digital twins (DTs) provide a comprehensive view of product performance, enabling companies to adopt an end-to-end approach to product management. To maximize product and service value, supply chains must also be managed holistically. <i>Results</i>: Therefore, companies will need smarter strategies to balance inventory costs, availability and lead times. The optimal setup of suppliers, manufacturing, logistics and stock locations will ensure high service levels and meet customer expectations. Additionally, supply chains must be resilient, and capable of maintaining performance during disruptions and adapting to demand changes. <i>Conclusions</i>: This paper aims to provide a comprehensive review of the state of the art in digital twin applications within supply chains, focusing on their role in improving visibility, agility and decision-making. This paper explores how digital twins might integrate with emerging technologies such as IoT, AI and blockchain, fostering a more adaptive and robust supply chain ecosystem.https://www.mdpi.com/2305-6290/9/1/22digital twinssupply chain resilienceIoTAIdisruption managementoptimization |
| spellingShingle | Eugenia-Alina Roman Armand-Serban Stere Eugen Roșca Adriana-Valentina Radu Denis Codroiu Ilie Anamaria State of the Art of Digital Twins in Improving Supply Chain Resilience Logistics digital twins supply chain resilience IoT AI disruption management optimization |
| title | State of the Art of Digital Twins in Improving Supply Chain Resilience |
| title_full | State of the Art of Digital Twins in Improving Supply Chain Resilience |
| title_fullStr | State of the Art of Digital Twins in Improving Supply Chain Resilience |
| title_full_unstemmed | State of the Art of Digital Twins in Improving Supply Chain Resilience |
| title_short | State of the Art of Digital Twins in Improving Supply Chain Resilience |
| title_sort | state of the art of digital twins in improving supply chain resilience |
| topic | digital twins supply chain resilience IoT AI disruption management optimization |
| url | https://www.mdpi.com/2305-6290/9/1/22 |
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