標題: Combining fuzzy AHP and fuzzy Kano to optimize product varieties for smart cameras: A zero-one integer programming perspective
作者: Wang, Chih-Hsuan
Wang, Juite
工業工程與管理學系
Department of Industrial Engineering and Management
關鍵字: Customer preference;Customer perception;Fuzzy analytical hierarchy process;Fuzzy Kano model;Zero-one integer programming
公開日期: 1-九月-2014
摘要: In an era of global customization, dominating the majority market with a single product has become increasingly difficult and almost impossible for most companies. In contrast, they must provide various product varieties that attract diverse customers, particularly when acquiring distinct market segments. In practice, however, most companies cannot effectively reduce the gap between customer requirements and design characteristics, although this impacts the profitability and future growth of companies. Meanwhile, companies often get stuck in the trade-offs between enhancing product varieties and controlling manufacturing costs. Accordingly, this paper proposes a hybrid framework that combines fuzzy analytical hierarchy process (AHP), fuzzy Kano model with zero-one integer programming (ZOIP) to incorporate customer preferences and customer perceptions into the decision-making process of product configuration. Specifically, fuzzy AHP is used to extract customer preferences for core attributes while fuzzy Kano model is utilized to elicit customer perceptions of optional attributes. Finally, by virtue of ZOIP, the optimal product varieties ( smart cameras) for distinct segments are determined by maximizing overall customer utility (OCU) and taking a firm\'s pricing policy into account. (C) 2014 Elsevier B.V. All rights reserved.
URI: http://dx.doi.org/10.1016/j.asoc.2014.04.013
http://hdl.handle.net/11536/24819
ISSN: 1568-4946
DOI: 10.1016/j.asoc.2014.04.013
期刊: APPLIED SOFT COMPUTING
Volume: 22
Issue: 
起始頁: 410
結束頁: 416
顯示於類別:期刊論文


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