Using Data Mining to Help Design Sustainable Products

Data mining techniques make it possible to automate product life-cycle assessment with reasonable accuracy, even in cases of low-quality inventory data.

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Bibliographic Details
Published inComputer (Long Beach, Calif.) Vol. 44; no. 8; pp. 103 - 106
Main Authors Marwah, M., Shah, A., Bash, C., Patel, C., Ramakrishnan, N.
Format Journal Article
LanguageEnglish
Published New York, NY IEEE 01.08.2011
IEEE Computer Society
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Applied sciences
Computer science; control theory; systems
Computer systems and distributed systems. User interface
Data mining
Data processing. List processing. Character string processing
Design methodology
Discovery Analytics
Environmental assessment
Environmental factors
Exact sciences and technology
Green products
Information systems. Data bases
Life-cycle analysis
Mechanical engineering. Machine design
Memory organisation. Data processing
Product design
Product life cycle management
Product lifecycle management
Software
Sustainable design
Sustainable development
Engineering design
Life cycle
Data analysis
Data integrity
Data mining
Information quality
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More Information
Summary:Data mining techniques make it possible to automate product life-cycle assessment with reasonable accuracy, even in cases of low-quality inventory data.
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ISSN:0018-9162
1558-0814
DOI:10.1109/MC.2011.257