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A Sustainability Assessment Framework for Dynamic Cloud-based Distributed Manufacturing
- Source :
- Procedia CIRP. 69:136-141
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- Recent advancements in information technology have enabled a paradigm shift in product manufacturing. Specifically, cloud-based distributed manufacturing has become a viable service for small and medium companies and prosumers, since it caters to the needs of these stakeholders. Distributed manufacturing offers significant benefits, including reduced cost, shorter lead time, and increased supply-chain flexibility. With interest in these services on the rise, however, there have not been substantial efforts to assess the sustainability performance of cloud-based distributed manufacturing. Sustainability assessment tools are not able to accommodate the unique attributes of cloud-based manufacturing, including broad geographic distribution, real-time autonomous customer support, and dynamic supply chains and processes driven by customer preferences. Thus, this research aims to develop an adaptive sustainability assessment framework for evaluating cloud-based distributed manufacturing systems using an integrated sustainability indicator for environmental, economic, and social impacts. The framework is demonstrated for distributed additive manufacturing as a service.
- Subjects :
- Flexibility (engineering)
Service (business)
0209 industrial biotechnology
Process management
business.industry
Computer science
020209 energy
Supply chain
Cloud computing
02 engineering and technology
Product (business)
020901 industrial engineering & automation
Sustainability
0202 electrical engineering, electronic engineering, information engineering
General Earth and Planetary Sciences
business
Lead time
General Environmental Science
Distributed manufacturing
Subjects
Details
- ISSN :
- 22128271
- Volume :
- 69
- Database :
- OpenAIRE
- Journal :
- Procedia CIRP
- Accession number :
- edsair.doi...........4ad8cb32dc98d5b0d531f9858b45f96a
- Full Text :
- https://doi.org/10.1016/j.procir.2017.11.120