A Selection Framework for Derivative Products

Author(s):  
Alvaro J. Rojas ◽  
Marcos Esterman ◽  
Jeanne M. Wesline ◽  
Matthew R. McLaughlin ◽  
Carol-Lynn Goldstein

Firms today increasingly seek to leverage product platforms via derivative product versions of the base platform, but successfully doing so is a significant challenge. Numerous enablers are required, such as robust product development processes, effective and well trained organizations, R&D activities that are aligned to support product strategies, and a clearly defined corporate strategy. In derivative product development firms struggle to identify the optimum derivatives to develop and bring to market. Evaluating which feature to improve upon, which technologies to incorporate, which markets to pursue, and ultimately which derivative product to develop is an uncertain proposition that has significant implications to future profitability. There majority tools and processes that exist to provide guidance in these activities largely focus on platform development strategies and decisions. A limited number are known to apply specifically to derivative products, after the platform has been design and implemented. This work proposes a derivative product concept generation and selection framework that extends the design for variety methodology to analyze derivative product alternatives.

Author(s):  
Ville Kukko-Liedes ◽  
Maria Mikkonen ◽  
Tua Björklund

AbstractEstablished companies turn to new ventures for bolstering exploration activities, but we know relatively little of the product development processes of startups and new ventures and how different stakeholders are utilized in these. The current study investigated the product development activities and experiments of eight Finnish food and beverage ventures in a multiple case study based on 22 interviews. How the developed products fit into the existing portfolio and experience of the ventures seemed to define their enacted development process. Internal experimentation was a constant feature, although the type of experiments varied between different phases of the development process. External-facing experiments were less frequent and more for validation than concept generation. On the other hand, they also carried important market creation functionalities. The results suggest that more nuanced terminology around experimentation would be useful to determine what type of experiments serve different goals in the development process.


2012 ◽  
Vol 490-495 ◽  
pp. 2160-2164
Author(s):  
Li Lin ◽  
Gang Guo

Product concept generation and concept design are major activities for obtaining an optimal concept in new product development (NPD). A customer requirements driving new product concept generation method is addressed in this paper. This study proposes a new method to generate product concept, through which NPD team acquire customers’ requirement and product attributes. The new method is based on integrating of Naïve Bayes cluster and rough set theory (RST). It takes marketing strategy, business strategy into consideration, which makes new product development more effective compared with the traditional method. We believe that the proposed method will have a positive significance on the future new product development


2015 ◽  
Vol 809-810 ◽  
pp. 1281-1286
Author(s):  
Adrian Petrovan ◽  
Gabriela Lobonţiu ◽  
Sandor Ravai-Nagy

Product development requires certain activities which are based on reasoning, logic, structure, etc. and which is using large quantities of knowledge. Transiting successive well-defined stages is transforming market requirements into products or merchantable services. New product development requires the creation and evaluation of product development strategy, the organization and product concept generation, designing, testing and validation of product design, its manufacture, marketing and ensuring the product warranty and post-warranty service. The interest of an ontological approach is now well documented in the literature, especially related to clarifying, formalizing and standardizing the conceptual entities within a domain of discourse. The work presented here aims at designing a generic ontological model of the product structuring models’ domain, suitable to be easily extended to cover the many sub-domains of PD, thus facilitating the design of such application ontologies in the future, and their implementation in CAx platforms and data management systems.


Author(s):  
Cristian Iorga ◽  
Alain Desrochers

The expansion of the markets corroborated with product customization and short time to launch the product have led to new levels of competition among product development companies. To be successful in the globalization of the markets and to enable the evaluation and validation of products, companies have to develop methodologies focused on lifecycle analysis and reduction of product variation to obtain both quality and robustness of products. Keywords: Modeling, Evaluation, Validation, Design ProcessThis paper proposes a new design process methodology that unifies theoretical results of modeling stage and empirical findings obtained from the validation stage. The evaluations and validations of engineering design are very important and they have a high influence on product performances and their functionality, as well on the customer perceptions.Given that most companies maintain the confidentiality of their product development processes and that the existing literature does not provide more detailed aspects of this field, the proposed methodology will represent a technical and logistical support intended for students or engineers involved in academic as well as industrial projects.A generic methodology will be refined based on a new approach that will take into consideration the specification types (quantitative or qualitative), the design objectives and the product types: new/improved, structural/esthetic. Hence the new generic methodology will be composed of specific product validation algorithms taking into account the above considerations. At the end of this paper, the improvements provided by the proposed methodology into the design process will be shown in the context of the engineering student capstone projects at the Université de Sherbrooke.


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.


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.


2011 ◽  
Vol 08 (04) ◽  
pp. 557-575 ◽  
Author(s):  
CHRISTINA RAASCH

Open source (OS) has raised significant attention in industrial practice and in scholarly research as a new and successful mode of product development. This paper is among the first to study open source development processes outside their original context, the software industry. In particular, we investigate the development of tangible products in so-called open design projects. We study how open design projects address the challenges usually put forward in the literature as barriers to the open development of tangible products. The analysis rests on the comparative qualitative investigation of four cases from different industries. We find that, subject to certain contingencies, open design processes can be organized to resemble OSS development processes to a considerable degree. Some practices are established specifically to uphold OS principles in the open design context, while others starkly differ from those found in OSS development. Our discussion focusses on different aspects of modularity as well as the availability of low-cost tools.


Author(s):  
Samuel Suss ◽  
Vincent Thomson

Product development processes of complex products are complex themselves and particularly difficult to plan and manage effectively. Although many organizations manage their product development processes by monitoring the status of documents that are created as deliverables, in fact the progress of the process is in large part based on the actual information flow which is required to develop the product and produce the documents. A vital element in making product development processes work well is the correct understanding of how information flows and how to facilitate its development. In this paper we describe an executable stochastic model of the product development process that incorporates the salient features of the interplay between the information development, exchange and progress of the technical work. Experiments with the model provide insight into the mechanisms that drive these complex processes.


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