Journal article
Resilient manufacturing: A review of disruptions, assessment, and pathways
Journal of manufacturing systems, Vol.79, pp.563-583
04/2025
DOI: 10.1016/j.jmsy.2025.02.006
Abstract
Manufacturers are increasingly concerned with the resilience of manufacturing systems due to rising disruptions. This paper reviews the research on resilient manufacturing, emphasizing the definitions and drivers of resiliency in manufacturing. Typical disruptions affecting manufacturing are discussed and classified. The assessment of resilience is explored through three key pillars: absorbency, adaptability, and recoverability. Resilience is also benchmarked against other manufacturing performance indicators. Pathways to resilient manufacturing are outlined, focusing on system design, configuration, and operations. Practical implementations are discussed, along with challenges and research directions aligned with Industry 5.0. This study aims to establish a foundational framework for integrating resiliency into modern manufacturing systems.
•A comprehensive review of definitions of resilience and resilient manufacturing.•A disruptions prevention, resiliency assessment, and resilience enhancement (PAE) framework.•Challenges and prospects for achieving resilient manufacturing.
Details
- Title: Subtitle
- Resilient manufacturing: A review of disruptions, assessment, and pathways
- Creators
- Jiewu Leng - Guangdong University of TechnologyJunxing Xie - Guangdong University of TechnologyRongjie Li - Guangdong University of TechnologyXueliang Zhou - Hubei University of Automotive TechnologyXi Gu - Rutgers, The State University of New JerseyQiang Liu - Guangdong University of TechnologyXin Chen - Guangdong University of TechnologyWenjun Zhang - University of SaskatchewanAndrew Kusiak - Department of Industrial and Systems Engineering, University of Iowa, IA 52242, USA
- Resource Type
- Journal article
- Publication Details
- Journal of manufacturing systems, Vol.79, pp.563-583
- Publisher
- Elsevier Ltd
- DOI
- 10.1016/j.jmsy.2025.02.006
- ISSN
- 0278-6125
- eISSN
- 1878-6642
- Number of pages
- 21
- Grant note
- National Natural Science Foundation of China: 52075107, U20A6004 Science and Technology Planning Project of Guangdong Province of China: 2024A0505040024 Outstanding Youth Fund of Guangdong Province: 2022B1515020006 Science and Technology Program of Guangzhou, China: 2024A04J6301
This work was supported by the National Natural Science Foundation of China under Grant No. 52075107 and U20A6004; the Science and Technology Planning Project of Guangdong Province of China under Grant No. 2024A0505040024; the Outstanding Youth Fund of Guangdong Province under Grant No. 2022B1515020006, and the Science and Technology Program of Guangzhou, China under Grant No. 2024A04J6301.
- Language
- English
- Date published
- 04/2025
- Academic Unit
- Industrial and Systems Engineering; Nursing
- Record Identifier
- 9984795475702771
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