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266 Fuzzy front-end studies: current state and future directions for new product development

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Title: 266 Fuzzy front-end studies: current state and future directions for new product development
Authors: Park, D
Han, J
Childs, PRN
Item Type: Journal Article
Abstract: 266 fuzzy front-end (FFE) studies in the new product development (NPD) sector were examined. The studies were selected using a bibliometrics method, and chronologically and statistically examined with ten criteria divided into two dimensions. The first dimension is associated with overall attributes of the FFE, consisting of six criteria: the study taxonomy, model type, NPD speed, NPD attributes, model characteristic, and model structure. The second dimension is relevant to the FFE performance structure related to process parameters, comprised of four criteria: the FFE task, activity, performance method, and toolkit. In terms of those two dimensions, the paper looks at previous FFE studies to gain an understanding of features of each FFE study along with related knowledge and theories, as well as identification of evolution trends of FFE studies. Based on the identification, an FFE model development strategy for each criterion is formulated, and this paper proposes possible options for executing those strategies which exert influence on the form of the cluster network. The intention is for the database to be utilised as an overview of all existing FFE studies and allow specific FFE studies to be selected to examine FFE approaches.This paper provides FFE model development guidance on how to deal with the overall attributes and outcomes of the FFE which affect the entirety of the innovation process, and how to manage the performance structure related to process parameters.
Issue Date: 19-Apr-2021
Date of Acceptance: 3-Apr-2021
URI: http://hdl.handle.net/10044/1/88164
DOI: 10.1007/s00163-021-00365-w
ISSN: 0934-9839
Publisher: Springer Science and Business Media LLC
Start Page: 377
End Page: 409
Journal / Book Title: Research in Engineering Design
Volume: 32
Copyright Statement: © The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Keywords: Science & Technology
Engineering, Multidisciplinary
Engineering, Industrial
Engineering, Manufacturing
Fuzzy front end
Innovation strategy
1203 Design Practice and Management
Design Practice & Management
Publication Status: Published
Open Access location: https://doi.org/10.1007/s00163-021-00365-w
Online Publication Date: 2021-04-19
Appears in Collections:Dyson School of Design Engineering
Faculty of Engineering

This item is licensed under a Creative Commons License Creative Commons