Hybrid simulation models for spare parts supply chain considering 3D printing capabilities

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)272-282
Number of pages11
JournalJournal of Manufacturing Systems
Volume59
DOIs
StatePublished - Apr 2021

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Hardware and Architecture
  • Industrial and Manufacturing Engineering

Keywords

  • 3D printing
  • Hybrid simulation
  • Maintenance operations
  • Supply chain network configuration

Fingerprint

Dive into the research topics of 'Hybrid simulation models for spare parts supply chain considering 3D printing capabilities'. Together they form a unique fingerprint.

Cite this