Application of analytical hierarchy process to support selection of difficult-to-quantify characteristics in new product development

2013 ◽  
Vol 24 (7-8) ◽  
pp. 797-810 ◽  
Author(s):  
Falk Steinberg ◽  
Ralf Woll
Keyword(s):  
Product Development ◽  
New Product Development ◽  
Analytical Hierarchy Process ◽  
New Product ◽  
Hierarchy Process ◽  
Selection Of

scholarly journals Computational Intelligence for Estimating Cost of New Product Development

2016 ◽  
Vol 8 (1) ◽  
pp. 21-34 ◽  
Author(s):  
Marcin Relich
Keyword(s):  
Product Development ◽  
New Product Development ◽  
Computational Intelligence ◽  
Cost Estimation ◽  
Constraint Satisfaction Problem ◽  
New Product ◽  
Neural System ◽  
Multiple Regression Model ◽  
Fuzzy Neural ◽  
Selection Of

AbstractThis paper is concerned with estimating cost of various new product development phases with the use of computational intelligence techniques such as neural networks and fuzzy neural system. Companies tend to develop many new products simultaneously and a limited project budget imposes the selection of the most promising new product development projects. The evaluation of new product projects requires cost estimation. The model of cost estimation contains product design, prototype manufacturing and testing, and it is specified in terms of a constraint satisfaction problem. The illustrative example presents comparative analysis of estimating product development cost using computational intelligence techniques and multiple regression model.

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

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 Proposal of managerial standards for new product portfolio management in Brazilian pharmaceutical companies

2010 ◽  
Vol 46 (1) ◽  
pp. 53-66 ◽  
Author(s):  
Raquel Assis Moreira ◽  
Lin Chih Cheng
Keyword(s):  
Product Development ◽  
New Product Development ◽  
Portfolio Management ◽  
New Product ◽  
Pharmaceutical Products ◽  
Pharmaceutical Companies ◽  
Development Projects ◽  
Product Portfolio ◽  
Case Study Methodology ◽  
Selection Of

New Product Portfolio Management is aimed at helping decision-makers better select projects for new products based on key criteria for the manufacturer. The Brazilian pharmaceutical industry has been undergoing change due to stricter sanitary requirements following the enactment of the Generic Law in 1999. This paper presents the results of a research study aimed at clarifying the rationale employed by national pharmaceutical companies in selecting and prioritizing their new product development projects. Consequently, proposals for an analytical structure that could help these companies better select their products were produced. The research was carried out using case study methodology in which four different companies were investigated. The results of the field study confirmed that these companies had a non-structured Product Development System and that the selection of new product development projects was made on a non-systematic basis. The research also identified key criteria for the selection of projects of new pharmaceutical products, which provided the basis for the preparation of a proposal for a managerial standard for application of New Product Portfolio Management.

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