Facilitating customer involvement into the decision-making process of concept generation and concept evaluation for new product development

Author(s):  
Chih-Hsuan Wang
2008 ◽  
Vol 25 (9) ◽  
pp. 899-912 ◽  
Author(s):  
André Segismundo ◽  
Paulo Augusto Cauchick Miguel

PurposeEffectively managing risk is an essential element of successful project management. In this sense, the present study seeks to propose a systematisation of technical risk management through the use of FMEA to optimise the decision making process in new product development (NPD).Design/methodology/approachThe methodological approach adopted in this paper is a case study at an automaker in Brazil. Data were gathered from various sources, mostly participant observation and document analysis of two important NPD programmes. The risk management system was described and its influence on programs development analysed.FindingsResults included a reduction in the number of project and test planning loopings as well as a reduced number of prototypes needed to approve product components. In addition, there was a positive influence on the product development decision‐making process, evidenced by better allocation of resources among projects at the programme.Research limitations/implicationsThe study is limited to a single case study which considers two major NPD programmes. Replications among other units of analysis are needed to further validate current findings.Originality/valueThis paper is one of the few published studies that report and discuss the FMEA within a broad context of risk analysis.


2016 ◽  
Vol 24 (3) ◽  
pp. 240-250 ◽  
Author(s):  
Chiu-Chi Wei ◽  
Agus Andria ◽  
Houn-Wen Xiao ◽  
Chiou-Shuei Wei ◽  
Ting-Chang Lai

2015 ◽  
Vol 7 (1) ◽  
pp. 29-36 ◽  
Author(s):  
Mishelle Doorasamy

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.


2020 ◽  
Vol 3 (1) ◽  
pp. 17-35
Author(s):  
Brian J. Galli

In today's fiercely competitive environment, most companies face the pressure of shorter product life cycles. Therefore, if companies want to maintain a competitive advantage in the market, they need to keep innovating and developing new products. If not, then they will face difficulties in developing and expanding markets and may go out of business. New product development is the key content of enterprise research and development, and it is also one of the strategic cores for enterprise survival and development. The success of new product development plays a decisive role both in the development of the company and in maintaining a competitive advantage in the industry. Since the beginning of the 21st century, with the continuous innovation and development of Internet technology, the era of big data has arrived. In the era of big data, enterprises' decision-making for new product development no longer solely relies on the experience of decision-makers; it is based on the results of big data analysis for more accurate and effective decisions. In this thesis, the case analysis is mainly carried out with Company A as an example. Also, it mainly introduces the decision made by Company A in the actual operation of new product development, which is based on the results of big data analysis from decision-making to decision-making innovation. The choice of decision-making is described in detail. Through the introduction of the case, the impact of big data on the decision-making process for new product development was explored. In the era of big data, it provides a new theoretical approach to new product development decision-making.


2020 ◽  
Vol 18 (5) ◽  
pp. 1139-1151
Author(s):  
Jørgen Blindheim ◽  
Christer W. Elverum ◽  
Torgeir Welo ◽  
Martin Steinert

Purpose This paper proposes the combination of rapid prototyping and physical modelling as a set-based concept evaluation method in the early stage of new product development. Design/methodology/approach The concept evaluation method is applied in a case study of a new metal additive manufacturing process for aluminium, where a set of four extruder concepts has been modelled and evaluated. Rapid prototyping was used to produce plastic models of the different designs, and plasticine feedstock material was used to physically model the metal flow during operation. Finally, the selected concept has been verified in full-scale for processing of aluminium feedstock material. Findings The proposed method led to several valuable insights on critical factors that were unknown at the outset of the development project. Overall, these insights enabled concept exploration and concept selection that led to a substantially better solution than the original design. Research limitations/implications This method can be applied for other projects where numerical approaches are not applicable or capable, and where the costs or time required for producing full-scale prototypes are high. Practical implications Employing this method can enable a more thorough exploration of the design space, allowing new solutions to be discovered. Originality/value The proposed method allows a design team to test and evaluate multiple concepts at lower cost and time than what is usually required to produce full-scale prototypes. It is, therefore, concluded to be a valuable design strategy for the early development stages of complex products or technologies.


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