Impact of additive manufacturing on aircraft supply chain performance
Autor: | Georgia Karantoni, Atanu Chaudhuri, Aravindan Srinivasan, Abhijeet Ghadge |
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Rok vydání: | 2018 |
Předmět: |
0209 industrial biotechnology
Additive manufacturing Computer science Strategy and Management Supply chain 02 engineering and technology Industrial and Manufacturing Engineering 020901 industrial engineering & automation Performance measurement 0502 economics and business Aerospace Supply chains Inventory control business.industry 05 social sciences Investment (macroeconomics) Manufacturing engineering Computer Science Applications System dynamics Aerospace industry Control and Systems Engineering Spare part Greenhouse gas business Simulation 050203 business & management Software |
Zdroj: | Ghadge, A, Karantoni, G, Chaudhuri, A & Srinivasan, A 2018, ' Impact of additive manufacturing on aircraft supply chain performance : A system dynamics approach ', Journal of Manufacturing Technology Management, vol. 29, no. 5, pp. 846-865 . https://doi.org/10.1108/JMTM-07-2017-0143 |
ISSN: | 1741-038X |
Popis: | 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. |
Databáze: | OpenAIRE |
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