Hybrid simulation models for spare parts supply chain considering 3D printing capabilities. (April 2021)

• Record Type: Journal Article
• Authors: Xu, Xinglu; Rodgers, Mark D.; Guo, Weihong (Grace)
• Is Part Of: Journal of manufacturing systems. Volume 59(2021)
• Page Start: 272
• Page End: 282
• Publication Date: 2021-04
• Subjects: 3D printing -- Hybrid simulation -- Maintenance operations -- Supply chain network configuration; Manufacturing processes -- Periodicals; Production engineering -- Data processing -- Periodicals; Robots, Industrial -- Periodicals; Production, Technique de la -- Informatique -- Périodiques; Robots industriels -- Périodiques; Electronic journals; 670.42
• DOI: 10.1016/j.jmsy.2021.02.018
• Languages: English
• ISSNs: 0278-6125

Abstract

Abstract: In the era of Industry 4.0, 3D printing unlocks a wide array of solutions to rapidly-produce spare parts for maintenance operations. In this research, we propose a hybrid simulation approach, combining agent-based and discrete event simulation methods, to investigate how the adoption of 3D printing technologies to manufacture spare parts for maintenance operations will improve operational efficiency and effectiveness. Specifically, our framework is applied to the United States Navy's fighter jet maintenance operations to study various network configurations, where 3D printing facilities may be centralized, decentralized, or hub configured. System performance in terms of the total cost, timeliness of delivery, and vulnerability under disruptions such as cyber-attacks and emergencies are evaluated. Lastly, the impact of 3D printing technological advancements on operational performance is investigated to obtain managerial insights.