NDLI: Clustering variables selection in Mass Customized scenarios affected by workers' learning

Content Provider	IEEE Xplore Digital Library
Author	Anzanello, M.J. Fogliatto, F.S.
Copyright Year	2011
Description	Author affiliation: Federal University of Rio Grande do Sul, Porto Alegre, Brazil (Anzanello, M.J.; Fogliatto, F.S.)
Abstract	In Mass Customized applications, clustering procedures enable grouping product models with similar processing needs into families, increasing the efficiency of production programming and resources allocation. The performance of such procedures is highly dependent on the proper choice of clustering variables. This paper proposes a method to select clustering variables aimed at grouping customized product models into families. Two groups of clustering variables are considered: those generated by expert assessment on product features, and those representing workers' learning rate, obtained through learning curve modeling. The method integrates the “leave one variable out at a time” elimination procedure with a k-means clustering technique. When applied to a shoe manufacturing process, the proposed method significantly reduced the number of variables required for clustering, while increasing the grouping quality measured through the Silhouette Index.
Starting Page	327
Ending Page	331
File Size	541517
Page Count	5
File Format	PDF
ISBN	9781457707407
ISSN	2157362X
e-ISBN	9781457707391
e-ISBN	9781457707384
DOI	10.1109/IEEM.2011.6117932
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-06
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptation models Learning curves mass customization Footwear Production Silicon Data models clustering Complexity theory Mathematical model
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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