TY - JOUR
T1 - Impact of additive manufacturing on aircraft supply chain performance
T2 - A system dynamics approach
AU - Ghadge, Abhijeet
AU - Karantoni, Georgia
AU - Chaudhuri, Atanu
AU - Srinivasan, Aravindan
PY - 2018
Y1 - 2018
N2 - Purpose: The purpose of this paper is to assess the impact of additive manufacturing (AM) implementation on aircraft supply chain (SC) networks. Additive and conventional manufacturing spare part inventory control systems are studied and compared, revealing insights into SC performance. Design/methodology/approach: A leading global commercial airline’s SC network data are used to model the research problem. A system dynamics simulation approach is followed, drawing out insights for managers. Findings: A significant improvement in SC efficiency is observed through the implementation of AM, rendering it a worthwhile investment for global SCs. AM helps to balance inventory levels, and increase responsiveness while decreasing disruptions and carbon emissions in the supply networks. Practical implications: The paper offers guidance on the adaption of AM in aircraft SCs and AM’s impact on spare part inventory systems. Originality/value: The study provides robust evidence for making critical managerial decisions on SC re-design driven by a new and disruptive technology. Next-generation SC and logistics will replace the current demand for fulfilling material products by AM machines.
AB - Purpose: The purpose of this paper is to assess the impact of additive manufacturing (AM) implementation on aircraft supply chain (SC) networks. Additive and conventional manufacturing spare part inventory control systems are studied and compared, revealing insights into SC performance. Design/methodology/approach: A leading global commercial airline’s SC network data are used to model the research problem. A system dynamics simulation approach is followed, drawing out insights for managers. Findings: A significant improvement in SC efficiency is observed through the implementation of AM, rendering it a worthwhile investment for global SCs. AM helps to balance inventory levels, and increase responsiveness while decreasing disruptions and carbon emissions in the supply networks. Practical implications: The paper offers guidance on the adaption of AM in aircraft SCs and AM’s impact on spare part inventory systems. Originality/value: The study provides robust evidence for making critical managerial decisions on SC re-design driven by a new and disruptive technology. Next-generation SC and logistics will replace the current demand for fulfilling material products by AM machines.
KW - Additive manufacturing
KW - Aerospace industry
KW - Performance measurement
KW - Simulation
KW - Supply chains
UR - http://www.scopus.com/inward/record.url?scp=85045196758&partnerID=8YFLogxK
U2 - 10.1108/JMTM-07-2017-0143
DO - 10.1108/JMTM-07-2017-0143
M3 - Journal article
SN - 1741-038X
VL - 29
SP - 846
EP - 865
JO - Journal of Manufacturing Technology Management
JF - Journal of Manufacturing Technology Management
IS - 5
ER -