System Dynamics Modeling in Additive Manufacturing Supply Chain Management

A system dynamics model was developed with the primary purpose of visualizing the behavior of a supply chain (SC) when it adopts a disruptive technology such as additive manufacturing (AM). The model proposed a dynamic hypothesis that defines the following issue: what is the impact of the AM charact...

Full description

Saved in:
Bibliographic Details
Published in:Processes 2021-06, Vol.9 (6), p.982
Main Authors: Nuñez Rodriguez, Jairo, Andrade Sosa, Hugo Hernando, Villarreal Archila, Sylvia Maria, Ortiz, Angel
Format: Article
Language:English
Subjects:
Additive manufacturing
Augmented reality
Bibliometrics
Big Data
Collaboration
Customer relationship management
Distribution management
Financial analysis
Internet of Things
Inventory
Inventory control
Inventory management
Knowledge management
Literature reviews
Policies
Process management
Production planning
Sensitivity analysis
Supply chain management
Supply chains
Sustainability
System dynamics
Trends
Variables
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A system dynamics model was developed with the primary purpose of visualizing the behavior of a supply chain (SC) when it adopts a disruptive technology such as additive manufacturing (AM). The model proposed a dynamic hypothesis that defines the following issue: what is the impact of the AM characteristics and processes in the SC? The model was represented through a causal diagram in thirteen variables related to the SC, organized in two feedback cycles and a data flow diagram, based mainly on the three-essential links of the SC and the order display traceability: supplier–focal manufacturer–distribution Network. Once proposed, the model was validated through the evaluation of extreme conditions and sensitivity analysis. As a result, the dynamic behavior of the variables that condition the chain management was analyzed, evidencing reduction times in production, especially in products that require greater complexity and detail, as well as reductions in inventories and the amount of raw material due to production and storing practices from AM. This model is the starting point for alternative supply chain scenarios through structural operating policies and operating policies in terms of process management.
ISSN:2227-9717
2227-9717
DOI:10.3390/pr9060982