Dynamic customer preference analysis for product portfolio identification using sequential pattern mining

doi:10.1108/IMDS-12-2015-0496

CORC > 上海财经大学 > 上海财经大学

	Dynamic customer preference analysis for product portfolio identification using sequential pattern mining
	Yu, Li 1; Zhang, Zaifang 2; Shen, Jin 3
刊名	INDUSTRIAL MANAGEMENT & DATA SYSTEMS
	2017
卷号	117 期号:2 页码:365-381
关键词	Customer need Product family design Product portfolio identification Product specification Sequential pattern mining
ISSN号	0263-5577
DOI	10.1108/IMDS-12-2015-0496
英文摘要	Purpose - In the initial stage of product design, product portfolio identification (PPI) aims to translate customer needs (CNs) into product specifications (PSs). This is an essential task, since understanding what customers really want is at the center of product design. However, design information is incomplete and design knowledge is minimal during this stage. Furthermore, PPI is often a confusing and frustrating task, especially when customer preferences are changing rapidly. To facilitate the task, the purpose of this paper is to capture the time-sensitive mapping relationship between CNs and PSs.
WOS研究方向	Computer Science ; Engineering
语种	英语
出版者	EMERALD GROUP PUBLISHING LTD
WOS记录号	WOS:000399073200007
内容类型	期刊论文
源URL	[http://10.2.47.112/handle/2XS4QKH4/1114]
专题	上海财经大学
通讯作者	Yu, Li
作者单位	1.Shanghai Univ Finance & Econ, Shanghai Key Lab Financial Informat Technol, Shanghai, Peoples R China; 2.Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai, Peoples R China; 3.Shanghai Dianji Univ, Sch Business, Shanghai, Peoples R China
推荐引用方式 GB/T 7714	Yu, Li,Zhang, Zaifang,Shen, Jin. Dynamic customer preference analysis for product portfolio identification using sequential pattern mining[J]. INDUSTRIAL MANAGEMENT & DATA SYSTEMS,2017,117(2):365-381.
APA	Yu, Li,Zhang, Zaifang,&Shen, Jin.(2017).Dynamic customer preference analysis for product portfolio identification using sequential pattern mining.INDUSTRIAL MANAGEMENT & DATA SYSTEMS,117(2),365-381.
MLA	Yu, Li,et al."Dynamic customer preference analysis for product portfolio identification using sequential pattern mining".INDUSTRIAL MANAGEMENT & DATA SYSTEMS 117.2(2017):365-381.