Operations and support cost model for new product concept development

1986 ◽  
Vol 11 (1-4) ◽  
pp. 128-131 ◽  
Author(s):  
Raymond L. Wilson
2016 ◽  
Vol 20 (02) ◽  
pp. 1650027
Author(s):  
MANABU MIYAO

The product concept is crucial in new product development (NPD) because it represents an NPD project’s goal. In this context, most prior studies have regarded product concept development as a linear process but some recent studies have revealed that it also has nonlinear characteristics. The objective of this paper is to explore why this inconsistency has arisen and to develop a model and theory that illustrate both aspects of product concept development. To achieve this, we adopt the perspective of organisational interpretation systems (Daft and Weick (1984). Toward a model of organisations as interpretation systems. Academy of Management Review, 9(2), 289–295) and explore eight product development cases. Consequently, we develop a three-stage model and find that the linearity or nonlinearity of product concept development is determined by each NPD team’s assumption about the environment. We also consider product innovativeness and function equivocality, and establish that these are related to the NPD teams’ assumptions about the environment.


2017 ◽  
Vol 41 ◽  
pp. 11-22
Author(s):  
Hyung-Seok Yeo ◽  
Jung-Hyeon Kim ◽  
Jun-Young Lee ◽  
Young-Taek Park

2010 ◽  
Author(s):  
H. C. M. Hoonhout ◽  
Stanley Caplan ◽  
William Green ◽  
Jennifer Watts-Perotti ◽  
Wendy A. Rogers

Author(s):  
H.C.M. (Jettie) Hoonhout ◽  
Stanley Caplan ◽  
William Green ◽  
Jennifer Watts-Perotti ◽  
Wendy A. Rogers

1980 ◽  
Author(s):  
L. FINIZIE ◽  
M. CADDY
Keyword(s):  

Author(s):  
Swithin S. Razu ◽  
Shun Takai

Estimation of demand is one of the most important tasks in new product development. How customers come to appreciate and decide to purchase a new product impacts demand and hence profit of the product. Unfortunately, when designers select a new product concept early in the product development process, the future demand of the new product is not known. Conjoint analysis is a statistical method that has been used to estimate a demand of a new product concept from customer survey data. Although conjoint analysis has been increasingly incorporated in design engineering as a method to estimate a demand of a new product design, it has not been fully employed to model demand uncertainty. This paper demonstrates and compares two approaches that use conjoint analysis data to model demand uncertainty: bootstrap of respondent choice data and Monte Carlo simulation of utility estimation errors. Reliability of demand distribution and accuracy of demand estimation are compared for the two approaches in an illustrative example.


2010 ◽  
Vol 156-157 ◽  
pp. 123-126 ◽  
Author(s):  
Fu Ying Zhang ◽  
Hong Chao Zhang ◽  
Hui Zheng ◽  
Qing Qing Zhang

The energy consumption and environmental impacts of a product are largely determined during concept design. It is the core for energy saving product development to integrate energy saving into product concept design process. In this paper, a framework for energy-saving product concept design based on TRIZ/function analysis is proposed, the energy flow chart is built based on the analysis of product function. By eliminating the harmful function associated with energy and environment, resolving the conflict parameter and attributes of components in energy and function, the new product that satisfy user needs while minimizing energy consumption is obtained. A case study is also presented to illustrate the effectiveness of the proposed design framework.


1982 ◽  
Vol 19 (2) ◽  
pp. 229-239 ◽  
Author(s):  
William O. Bearden ◽  
Terence A. Shimp

Two field experiments were conducted to explore the effects of varying levels of product warranty, manufacturer reputation, and price on consumers’ risk perceptions and affective responses to new product concepts. Data were collected from a consumer panel in a new product concept test format for a tire product and for a computerized exercise device. Results from structural equation analyses reveal the important role of warranties and other extrinsic cues in reducing consumers’ risk perceptions and enhancing their affective responses to innovative product concepts.


2014 ◽  
Vol 3 (1) ◽  
pp. 44 ◽  
Author(s):  
SaEd M. Salhieh ◽  
Mira Y. Al-Harris

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.


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