scholarly journals Portfolio selection of new product projects: a product reliability perspective

2016 ◽  
Vol 18 (4) ◽  
pp. 613-620 ◽  
Author(s):  
Marcin Relich
Keyword(s):  
Portfolio Selection ◽  
New Product ◽  
Product Reliability ◽  
Selection Of

scholarly journals ANALYSIS OF THE CONSUMERS PREFERENCES OF LIPSTICK PRODUCT AND ITS RELATIONSHIP WITH THE SEGMENTATION OF THE LIPSTICK PRODUCTS

2018 ◽  
Vol 1 (02) ◽  
pp. 7
Author(s):  
Mohammad Wartaka
Keyword(s):  
Conjoint Analysis ◽  
Skin Color ◽  
New Product ◽  
Quality Attributes ◽  
Global Brands ◽  
Importance Weight ◽  
Income Sources ◽  
Trade Offs ◽  
The City ◽  
Selection Of

The need for lipstick continues to increase along with the emergence of a new lipstick products both domestic and global brands to follow the needs of its consumers, the new product has a variety of functions other than just as a lip color, but also as a moisturizer / lip protection even as treatment. Adult lipstick is packed with advertisements and packaging are very interesting addition to the color choice of more and more. In determining the selection of lipstick products consumers often consider the combination of the main attributes and other factors that are trade-offs. This study aims to determine the attributes and combination of attributes among the most preferred by consumers for a segment of the age and the amount of income. Sources of data in this study were obtained from 138 respondents in the city of Bogor and its surroundings, conjoint analysis is used to determine the usefulness of each attribute and their relative weights as a tool to predict the preferences of a particular segment or as a whole. The results showed the order of importance weight according to the respondents is that the quality attributes (34.95%), the type of color (33.21%) and benefits (31.84%), while the combination of the most preferred products are: lipstick durable / waterproof, according to skin color, and functioning for moisturizing / protective lip. In the description also delivered conjoin analysis results for each age and income segments.

scholarly journals New product concept selection: an integrated approach using data envelopment analysis (DEA) and conjoint analysis (CA)

2014 ◽  
Vol 3 (1) ◽  
pp. 44 ◽  
Author(s):  
SaEd M. Salhieh ◽  
Mira Y. Al-Harris
Keyword(s):  
Data Envelopment Analysis ◽  
Conjoint Analysis ◽  
Perceived Value ◽  
New Product ◽  
Data Envelopment ◽  
Product Concept ◽  
Customer Perceived Value ◽  
Using Data ◽  
Product Concepts ◽  
Selection Of

New product concept development is considered to be a critical step and the main determinant for the success or failure of new product development. This paper introduces a new methodology for the evaluation and selection of new product concepts using Data Envelopment Analysis (DEA) and Conjoint Analysis (CA). The proposed methodology integrates customer perceived value of the new product concepts through the use of CA and uses this perceived value as a measure for the new concepts performance. In addition, the methodology takes into account the development burden that a company has to perform to bring the new concept into a state of market readiness. This development burden is estimated by determining two main factors, namely the burden to produce and the burden to sell the new product concept. The customer perceived value and the development burden are both used in DEA to evaluate the new product concepts resulting in the selection of the best product concept. The applicability of the proposed methodology is illustrated through a case study. Keywords: Product development, concept selection, data envelopment analysis, conjoint analysis.

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.

Investment in new product reliability

2009 ◽  
Vol 94 (10) ◽  
pp. 1593-1600 ◽  
Author(s):  
D.N.P. Murthy ◽  
M. Rausand ◽  
S. Virtanen
Keyword(s):  
New Product ◽  
Product Reliability

Portfolio selection and matching: a synthesis

1992 ◽  
Vol 119 (1) ◽  
pp. 87-105 ◽  
Author(s):  
M. Sherris
Keyword(s):  
Portfolio Selection ◽  
Life Insurance ◽  
General Framework ◽  
Pension Fund ◽  
Central Value ◽  
Efficient Portfolios ◽  
The Mean ◽  
Mean Variance ◽  
Special Case ◽  
Selection Of

AbstractThis paper considers a general framework for the selection of assets to meet the liabilities of a life insurance or pension fund. This general framework contains the mean-variance efficient portfolios of modern portfolio theory as a special case. The paper also demonstrates how the portfolio selection and matching approach of Wise (1984a, 1984b, 1987a, 1987b) and Wilkie (1985) fits into this general framework. The matching portfolio is derived as a special case, and is also shown to have implications for determining the central value of the liabilities.

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