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

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 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.

Evaluation of Design Alternatives’ Environmental Impact by Integrating Fuzzy Analytic Hierarchy Process and Evidential Reasoning Approach

2015 ◽  
Vol 1 (1) ◽  
Author(s):  
C. Y. Ng ◽  
K. B. Chuah
Keyword(s):  
Environmental Impact ◽  
Product Development ◽  
Analytic Hierarchy Process ◽  
New Product Development ◽  
Environmental Performance ◽  
Evidential Reasoning ◽  
Lca Methodology ◽  
Analytic Hierarchy ◽  
Design Alternatives ◽  
Hierarchy Process

Today “ecodesign” is a necessary consideration in the product development process. With increasing general awareness of the need for environmental production and more stringent regulatory requirements, manufacturers have to try to minimize their environmental impact. Life-cycle assessment (LCA) methodology is a generally accepted quantitative approach that can be applied to support environmental impact evaluations of a product. However, despite the time-consuming and resource-consuming attributes of the LCA, it has difficulty to deal with uncertain information. Therefore, LCA is yet to be a practical approach for environmental impact evaluation, particularly, during new product development (NPD). This paper proposes an approach to evaluate the environmental performance of design alternatives during NPD. The use of multiple criteria decision-making (MCDM) approaches with LCA methodology for the evaluation of design alternatives’ environmental performance during NPD processes is first discussed. The proposed approach integrates analytic hierarchy process (AHP) and fuzzy set theory (FST) with evidential reasoning (ER) in the evaluation of environmental performance to prioritize different design options. A case study is described to illustrate the use of the proposed method.

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