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Evaluation of product recyclability at the product design phase: a time-series forecasting methodology
- Source :
- International Journal of Computer Integrated Manufacturing. 31:457-468
- Publication Year :
- 2017
- Publisher :
- Informa UK Limited, 2017.
-
Abstract
- Nowadays, the society is paying more and more attention to the issues that plague the environment. There is a growing need for enterprises to design and manufacture environmentally friendly products, in order to take up the responsibility of sustainable development of the society. The entire product life cycle consists of design, manufacturing, usage and recycling phases. These phases involve various economic and environmental factors that affect the recyclability of products. Previous researchers mainly focused on the single phase of the product’s life cycle. Moreover, they did not take into account the dynamic change of the recyclable material’s cost. In this paper, a time-series forecasting methodology is proposed to evaluate the product’s recyclability at the product design phase. It considers various economic and environmental factors of different stages of the product’s life cycle. In addition, a time-series forecasting method is utilised for predicting the cost of the recycled material at the produ...
- Subjects :
- Sustainable development
0209 industrial biotechnology
Engineering
Product design
business.industry
Mechanical Engineering
Aerospace Engineering
02 engineering and technology
010501 environmental sciences
01 natural sciences
Product engineering
Environmentally friendly
Manufacturing engineering
Computer Science Applications
020901 industrial engineering & automation
Product lifecycle
New product development
Systems engineering
Product management
Product (category theory)
Electrical and Electronic Engineering
business
0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 13623052 and 0951192X
- Volume :
- 31
- Database :
- OpenAIRE
- Journal :
- International Journal of Computer Integrated Manufacturing
- Accession number :
- edsair.doi...........f99dee0a3f57f128b2f6e327822e393c
- Full Text :
- https://doi.org/10.1080/0951192x.2017.1368712