Fuzzy stage characteristic-preserving product life cycle modeling

被引:2
|
作者
Chang, PT [1 ]
机构
[1] Tunghai Univ, Dept Ind Engn, Taichung 407, Taiwan
关键词
product life cycle; forecasting; weighted multi-stage fuzzy regression; stage modeling; stage identification;
D O I
10.1016/S0165-0114(01)00036-7
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Stage concerns have been important in product life cycles (PLC), Such concerns are stage identification, stage-related strategies and, here newly introduced, 'stage modeling'. Stage modeling is concerned with not only modeling but also aggregation of individual stages in an overall-influencing manner. It not only preserves the respective characteristics of the stages but also may be explored for the stage-related strategy issue later. To date, this aspect of PLC modeling has not yet been explored. In this paper, a fuzzy PLC modeling capable of preserving the fuzzy individual characteristics of the stages is proposed. The various concepts such as boundary identification, fuzzy stages modeling, and stages' inter-influence functions are introduced and discussed. Finally, to illustrate and support the approach, a numerical example and a comparison with classical data-analytic procedures (segmented polynomial regression and autoregressive-integrated moving average) is provided. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:33 / 47
页数:15
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