Mapping supply chain risk by network analysis of product platforms
Abstract
Modern technology makes use of a variety of materials to allow for its proper functioning. Here, to explore in detail the relationships connecting materials to the products that require them, we map supply chains for five product platforms (a cadmium telluride solar cell, a germanium solar cell, a turbine blade, a lead acid battery, and a hard drive (HD) magnet) using a data ontology that specifies the supply chain actors (nodes) and linkages (e.g., material exchange and contractual relationships) among them. We then propose a set of network indicators (product complexity, producer diversity, supply chain length, and potential bottlenecks) to assess the situation for each platform in the overall supply chain networks. Among the results of interest are the following: (1) the turbine blade displays a high product complexity, defined by the material linkages to the platform; (2) the germanium solar cell is produced by only a few manufacturers globally and requires more physical transformation steps than do the other project platforms; (3) including production quantity and sourcing countries in the assessment shows that a large portion of nodes of the supply chain of the hard-drive magnet are located in potentially unreliable countries. Finally, we conclude by discussing how themore »
- Authors:
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1329270
- Alternate Identifier(s):
- OSTI ID: 1422548
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Published Article
- Journal Name:
- Sustainable Materials and Technologies
- Additional Journal Information:
- Journal Name: Sustainable Materials and Technologies Journal Volume: 10 Journal Issue: C; Journal ID: ISSN 2214-9937
- Publisher:
- Elsevier
- Country of Publication:
- Netherlands
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE; 29 ENERGY PLANNING, POLICY, AND ECONOMY; Sustainable resource management; Supply chain risk assessment; Social network analysis; Metals criticality; Product platforms
Citation Formats
Nuss, Philip, Graedel, T. E., Alonso, Elisa, and Carroll, Adam. Mapping supply chain risk by network analysis of product platforms. Netherlands: N. p., 2016.
Web. doi:10.1016/j.susmat.2016.10.002.
Nuss, Philip, Graedel, T. E., Alonso, Elisa, & Carroll, Adam. Mapping supply chain risk by network analysis of product platforms. Netherlands. https://doi.org/10.1016/j.susmat.2016.10.002
Nuss, Philip, Graedel, T. E., Alonso, Elisa, and Carroll, Adam. Thu .
"Mapping supply chain risk by network analysis of product platforms". Netherlands. https://doi.org/10.1016/j.susmat.2016.10.002.
@article{osti_1329270,
title = {Mapping supply chain risk by network analysis of product platforms},
author = {Nuss, Philip and Graedel, T. E. and Alonso, Elisa and Carroll, Adam},
abstractNote = {Modern technology makes use of a variety of materials to allow for its proper functioning. Here, to explore in detail the relationships connecting materials to the products that require them, we map supply chains for five product platforms (a cadmium telluride solar cell, a germanium solar cell, a turbine blade, a lead acid battery, and a hard drive (HD) magnet) using a data ontology that specifies the supply chain actors (nodes) and linkages (e.g., material exchange and contractual relationships) among them. We then propose a set of network indicators (product complexity, producer diversity, supply chain length, and potential bottlenecks) to assess the situation for each platform in the overall supply chain networks. Among the results of interest are the following: (1) the turbine blade displays a high product complexity, defined by the material linkages to the platform; (2) the germanium solar cell is produced by only a few manufacturers globally and requires more physical transformation steps than do the other project platforms; (3) including production quantity and sourcing countries in the assessment shows that a large portion of nodes of the supply chain of the hard-drive magnet are located in potentially unreliable countries. Finally, we conclude by discussing how the network analysis of supply chains could be combined with criticality and scenario analyses of abiotic raw materials to comprise a comprehensive picture of product platform risk.},
doi = {10.1016/j.susmat.2016.10.002},
journal = {Sustainable Materials and Technologies},
number = C,
volume = 10,
place = {Netherlands},
year = {Thu Dec 01 00:00:00 EST 2016},
month = {Thu Dec 01 00:00:00 EST 2016}
}
https://doi.org/10.1016/j.susmat.2016.10.002
Works referencing / citing this record:
Solar soft cost ontology: a review of solar soft costs
journal, December 2019
- Beck, A. L.; Rai, V.
- Progress in Energy, Vol. 2, Issue 1