scholarly journals Integrating Kano Model, AHP, and QFD Methods for New Product Development Based on Text Mining, Intuitionistic Fuzzy Sets, and Customers Satisfaction

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Ming Li ◽  
Jie Zhang
Keyword(s):  
Decision Making ◽  
Product Development ◽  
New Product Development ◽  
Quality Function Deployment ◽  
New Product ◽  
Kano Model ◽  
Analytic Hierarchy ◽  
Customer Preference ◽  
Intuitionistic Fuzzy ◽  
Hierarchy Process

Online reviews are crucial to any online business that wants to increase sales on the Internet. Customer reviews have information about product attributes, customer requirements (CRs), and shopping experience; mining reviews provide the direction of decision-making for new product development and design (NPDD). Besides, the information of customer preference has vagueness and uncertainty, and the accuracy of decision-making information directly affects the success of NPDD. This paper proposed a methodology that integrates the Kano model (KM), analytic hierarchy process (AHP), and quality function deployment (QFD) methods with intuitionistic fuzzy set (IFS) to solve decision-making problems in NPDD. By the new method, the web crawler technology was first applied to e-commerce web sites to collect raw data, and the representative CRs were extracted through combining LDA model with Apriori algorithm. Second, the intuitionistic fuzzy Kano model (IFKM) is proposed to evaluate adjustment coefficient of CRs and Kano categories via customer preference membership functions. Thirdly, overall weights which contained emotional needs (ENs) and functional needs (FNs) are obtained via intuitionistic fuzzy analytic hierarchy process (IFAHP); thus, the adjusted weights are calculated from IFKM and IFAHP. Next, the intuitionistic fuzzy quality function deployment (IFQFD) is proposed to acquire engineering characteristics (ECs) of weights through combining competition benchmarks and based on technical benchmarks to make goals for a company’s NPDD. Finally, the method was applied to study vertical-configured air conditioner (VAC) as an example. The results showed that the application of text mining and IFS to improve CS is both reliable and scientific.

scholarly journals Analytic Hierarchy Process for New Product Development

10.5772/56816 ◽  
2013 ◽  
Vol 5 ◽  
pp. 42 ◽  
Author(s):  
Elisa Battistoni ◽  
Andrea Fronzetti Colladon ◽  
Laura Scarabotti ◽  
Massimiliano M. Schiraldi
Keyword(s):  
Product Development ◽  
Analytic Hierarchy Process ◽  
New Product Development ◽  
Methodological Approach ◽  
New Product ◽  
Analytic Hierarchy ◽  
Potential Consumer ◽  
Market Needs ◽  
The One ◽  
Hierarchy Process

The success of a New Product Development (NPD) process strongly depends on the deep comprehension of market needs and Analytic Hierarchy Process (AHP) has been commonly used to find weights for customers' preferences. AHP best practices suggest that low-consistency respondents should be considered untrustworthy; however, in some NPD cases – such as the one presented here – this stake can be extremely big. This paper deals with the usage of AHP methodology to define the weights of customer needs connected to the NPD process of a typical impulse buying good, a snack. The aim of the paper is to analyse in a critical way the opportunity to exclude or include non-consistent respondents in market analysis, addressing the following question: should a non-consistent potential customer be excluded from the analysis due to his inconsistency or should he be included because, after all, he is still a potential consumer? The chosen methodological approach focuses on evaluating the compatibility of weight vectors among different subsets of respondents, filtered according to their consistency level. Results surprisingly show that weights do not significantly change when non-consistent respondents are excluded.

scholarly journals New product development projects prioritization with Analytic Hierarchy Process in an automotive company

2011 ◽  
Vol 9 (2) ◽  
pp. 157-162
Author(s):  
Valério Antonio Pamplona Salomon ◽  
Sandra Miranda Neves ◽  
Jefferson Olegário de Paula ◽  
Marcos Rolando Piccilli ◽  
Carlos Eduardo Sanches da Silva
Keyword(s):  
Product Development ◽  
Analytic Hierarchy Process ◽  
New Product Development ◽  
New Product ◽  
Development Projects ◽  
Analytic Hierarchy ◽  
Automotive Company ◽  
Hierarchy Process

A new fuzzy decision-making approach for selecting new product development project

2016 ◽  
Vol 24 (3) ◽  
pp. 240-250 ◽  
Author(s):  
Chiu-Chi Wei ◽  
Agus Andria ◽  
Houn-Wen Xiao ◽  
Chiou-Shuei Wei ◽  
Ting-Chang Lai
Keyword(s):  
Decision Making ◽  
Product Development ◽  
New Product Development ◽  
New Product ◽  
Development Project ◽  
Fuzzy Decision Making ◽  
Fuzzy Decision ◽  
Product Development Project

scholarly journals Product Portfolio Management: An Important Business Strategy

2015 ◽  
Vol 7 (1) ◽  
pp. 29-36 ◽  
Author(s):  
Mishelle Doorasamy
Keyword(s):  
Decision Making ◽  
Product Development ◽  
New Product Development ◽  
Portfolio Management ◽  
Business Strategy ◽  
New Product ◽  
Product Portfolio ◽  
Historical Developments ◽  
Statistical Trends ◽  
The Relationship

Abstract The aim of this article is to provide reader with a comprehensive insight on the theories, empirical findings and models of Product Portfolio Management (PPM) during new product development. This article will allow for an in-depth theoretical approach on PPM and demonstrate to managers the importance of adopting PPM as business strategy during decision making. The objective of this paper is to present a literature review of models, theories, approaches and findings on the relationship between Product Portfolio Management and new product development. Relevant statistical trends, historical developments, published opinion of major writers in this field will be presented to provide concrete evidence of the problem being discussed.

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