TY - JOUR
T1 - The Impact of Additive Manufacturing on Supply Chain Management from a System Dynamics Model—Scenario
T2 - Traditional, Centralized, and Distributed Supply Chain
AU - Nuñez Rodriguez, Jairo
AU - Andrade Sosa, Hugo Hernando
AU - Villarreal-Archila, Sylvia Maria
AU - Ortiz, Angel
N1 - Publisher Copyright:
© 2022 by the authors.
PY - 2022/12
Y1 - 2022/12
N2 - In order to describe the impact that the appropriation of additive manufacturing (AM) has on the supply chain (SC), a validated system dynamics model representing vectorially multiple products and multiple demands in different periods was used as a basis to apply to a case study of medical implant manufacturing, configuring three chain scenarios: 1. traditional supply chain with subtractive manufacturing, 2. centralized supply chain with additive manufacturing, and 3. decentralized supply chain with additive manufacturing. It was possible to notice that the production time is longer in additive manufacturing compared to traditional manufacturing and the cycle time and total demand closure were lower in traditional manufacturing. In addition, it was observed that the AM performance is significantly better in conditions of lower demand, which can be attributed to the characteristics of customization and small batches that this type of production approach implies.
AB - In order to describe the impact that the appropriation of additive manufacturing (AM) has on the supply chain (SC), a validated system dynamics model representing vectorially multiple products and multiple demands in different periods was used as a basis to apply to a case study of medical implant manufacturing, configuring three chain scenarios: 1. traditional supply chain with subtractive manufacturing, 2. centralized supply chain with additive manufacturing, and 3. decentralized supply chain with additive manufacturing. It was possible to notice that the production time is longer in additive manufacturing compared to traditional manufacturing and the cycle time and total demand closure were lower in traditional manufacturing. In addition, it was observed that the AM performance is significantly better in conditions of lower demand, which can be attributed to the characteristics of customization and small batches that this type of production approach implies.
KW - additive manufacturing (AM)
KW - healthcare sector
KW - supply chain (SC)
KW - system dynamics (SD)
KW - supply chain (SC)
KW - additive manufacturing (AM)
KW - system dynamics (SD)
KW - healthcare sector
UR - http://www.scopus.com/inward/record.url?scp=85144875467&partnerID=8YFLogxK
U2 - 10.3390/pr10122489
DO - 10.3390/pr10122489
M3 - Artículo en revista científica indexada
AN - SCOPUS:85144875467
SN - 2227-9717
VL - 10
JO - Processes
JF - Processes
IS - 12
M1 - 2489
ER -