4.7 Article

Toward developing agility evaluation of mass customization systems using 2-tuple linguistic computing

Journal

EXPERT SYSTEMS WITH APPLICATIONS
Volume 36, Issue 2, Pages 3439-3447

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2008.02.015

Keywords

Mass customization; Agile manufacturing; Heterogeneity; TOPSIS; 2-Tuple fuzzy linguistic computing

Funding

  1. National Science Council of Taiwan [NSC96-2416-H-167-004]

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Mass customization (MC) relates to the ability to provide individually designed products and services to every customer through high process flexibility and integration. For responding to the mass customization trend it is necessary to develop all agility-based manufacturing system to catch oil the traits involved in MC. Ail MC manufacturing agility evaluation approach based oil concepts of TOPSIS is proposed through analyzing the agility of organization management, product design, processing manufacture, partnership formation capability and integration of information system. The 2-tuple fuzzy linguistic computing manner to transform the heterogeneous information assessed by multiple experts into all identical decision domain is inherent in the proposed method. It is expected to aggregate experts' heterogeneous information, and offer sufficient and conclusive information for evaluating the agile manufacturing alternatives. And then a suitable agile system for implementing MC call be established. (C) 2008 Elsevier Ltd. All rights reserved.

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