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Charles H. Fine - One of the best experts on this subject based on the ideXlab platform.
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Time Versus Market Orientation in Product Concept Development: Empirically-Based Theory Generation
Management Science, 1997Co-Authors: Gary Burchill, Charles H. FineAbstract:In collaboration with industry partners, a normative model of the Product Concept decision process was developed, supported with tools and techniques, and codified as a decision support process for Product development teams. This process Concept Engineering was then introduced into a number of Product development teams in different companies. A comparative analysis of actual Product Concept development activities, with and without the use of Concept Engineering, was conducted. All of the observed teams viewed time to market as a critical measure of their success. However, the development processes differed significantly depending on whether relatively more emphasis was placed on time or market considerations. Key variables associated with the Product Concept development decision process and time-to-market dynamics were identified and a theory of the Concept development process was developed using the inductive system diagram technique, a research methodology developed in the course of this work. We believe this work contributes to the operations management literature in three ways. First, it introduces a very detailed, structured decision process for Product Concept development, enhancing the literature on Quality Function Deployment QFD. Second, it presents a theory of Product Concept development that can improve understanding of success and failure in Product Concept development. Third, this work develops new methodology Inductive Systems Diagrams for field work in operations management. This methodology marries the grounded theory methods familiar to sociologists with causal-loop modeling familiar to systems dynamicists, yielding a rigorous tool for systematically collecting, organizing, and distilling large amounts of field-based data.
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Time Versus Market Orientation in Product Concept Development: Empirically-Based Theory Generation
Management Science, 1997Co-Authors: Gary Burchill, Charles H. FineAbstract:In collaboration with industry partners, a normative model of the Product Concept decision process was developed, supported with tools and techniques, and codified as a decision support process for Product development teams. This process Concept Engineering was then introduced into a number of Product development teams in different companies. A comparative analysis of actual Product Concept development activities, with and without the use of Concept Engineering, was conducted. All of the observed teams viewed time to market as a critical measure of their success. However, the development processes differed significantly depending on whether relatively more emphasis was placed on time or market considerations. Key variables associated with the Product Concept development decision process and time-to-market dynamics were identified and a theory of the Concept development process was developed using the inductive system diagram technique, a research methodology developed in the course of this work. We believe this work contributes to the operations management literature in three ways. First, it introduces a very detailed, structured decision process for Product Concept development, enhancing the literature on Quality Function Deployment QFD. Second, it presents a theory of Product Concept development that can improve understanding of success and failure in Product Concept development. Third, this work develops new methodology Inductive Systems Diagrams for field work in operations management. This methodology marries the grounded theory methods familiar to sociologists with causal-loop modeling familiar to systems dynamicists, yielding a rigorous tool for systematically collecting, organizing, and distilling large amounts of field-based data.
Gary Burchill - One of the best experts on this subject based on the ideXlab platform.
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Time Versus Market Orientation in Product Concept Development: Empirically-Based Theory Generation
Management Science, 1997Co-Authors: Gary Burchill, Charles H. FineAbstract:In collaboration with industry partners, a normative model of the Product Concept decision process was developed, supported with tools and techniques, and codified as a decision support process for Product development teams. This process Concept Engineering was then introduced into a number of Product development teams in different companies. A comparative analysis of actual Product Concept development activities, with and without the use of Concept Engineering, was conducted. All of the observed teams viewed time to market as a critical measure of their success. However, the development processes differed significantly depending on whether relatively more emphasis was placed on time or market considerations. Key variables associated with the Product Concept development decision process and time-to-market dynamics were identified and a theory of the Concept development process was developed using the inductive system diagram technique, a research methodology developed in the course of this work. We believe this work contributes to the operations management literature in three ways. First, it introduces a very detailed, structured decision process for Product Concept development, enhancing the literature on Quality Function Deployment QFD. Second, it presents a theory of Product Concept development that can improve understanding of success and failure in Product Concept development. Third, this work develops new methodology Inductive Systems Diagrams for field work in operations management. This methodology marries the grounded theory methods familiar to sociologists with causal-loop modeling familiar to systems dynamicists, yielding a rigorous tool for systematically collecting, organizing, and distilling large amounts of field-based data.
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Time Versus Market Orientation in Product Concept Development: Empirically-Based Theory Generation
Management Science, 1997Co-Authors: Gary Burchill, Charles H. FineAbstract:In collaboration with industry partners, a normative model of the Product Concept decision process was developed, supported with tools and techniques, and codified as a decision support process for Product development teams. This process Concept Engineering was then introduced into a number of Product development teams in different companies. A comparative analysis of actual Product Concept development activities, with and without the use of Concept Engineering, was conducted. All of the observed teams viewed time to market as a critical measure of their success. However, the development processes differed significantly depending on whether relatively more emphasis was placed on time or market considerations. Key variables associated with the Product Concept development decision process and time-to-market dynamics were identified and a theory of the Concept development process was developed using the inductive system diagram technique, a research methodology developed in the course of this work. We believe this work contributes to the operations management literature in three ways. First, it introduces a very detailed, structured decision process for Product Concept development, enhancing the literature on Quality Function Deployment QFD. Second, it presents a theory of Product Concept development that can improve understanding of success and failure in Product Concept development. Third, this work develops new methodology Inductive Systems Diagrams for field work in operations management. This methodology marries the grounded theory methods familiar to sociologists with causal-loop modeling familiar to systems dynamicists, yielding a rigorous tool for systematically collecting, organizing, and distilling large amounts of field-based data.
Chun-hsien Chen - One of the best experts on this subject based on the ideXlab platform.
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Product Concept evaluation and selection using data mining and domain ontology in a crowdsourcing environment
Advanced Engineering Informatics, 2015Co-Authors: Danni Chang, Chun-hsien ChenAbstract:For Product design and development, crowdsourcing shows huge potential for fostering creativity and has been regarded as one important approach to acquiring innovative Concepts. Nevertheless, prior to the approach could be effectively implemented, the following challenges concerning crowdsourcing should be properly addressed: (1) burdensome Concept review process to deal with a large amount of crowd-sourced design Concepts; (2) insufficient consideration in integrating design knowledge and principles into existing data processing methods/algorithms for crowdsourcing; and (3) lack of a quantitative decision support process to identify better Concepts. To tackle these problems, a Product Concept evaluation and selection approach, which comprises three modules, is proposed. These modules are respectively: (1) a data mining module to extract meaningful information from online crowd-sourced Concepts; (2) a Concept re-construction module to organize word tokens into a unified frame using domain ontology and extended design knowledge; and (3) a decision support module to select better Concepts in a simplified manner. A pilot study on future PC (personal computer) design was conducted to demonstrate the proposed approach. The results show that the proposed approach is promising and may help to improve the Concept review and evaluation efficiency; facilitate data processing using design knowledge; and enhance the reliability of Concept selection decisions.
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Product Concept generation and selection using sorting technique and fuzzy c -means algorithm
Computers & Industrial Engineering, 2006Co-Authors: Wei Yan, Chun-hsien Chen, Meng-dar ShiehAbstract:Product Conceptualization is regarded as a key activity in new Product development (NPD). In this stage, Product Concept generation and selection plays a crucial role. This paper presents a Product Concept generation and selection (PCGS) approach, which was proposed to assist Product designers in generating and selecting design alternatives during the Product Conceptualization stage. In the PCGS, general sorting was adapted for initial requirements acquisition and platform definition; while a fuzzy c-means (FCM) algorithm was integrated with a design alternatives generation strategy for clustering design options and selecting preferred Product Concepts. The PCGS deliberates and embeds a psychology-originated method, i.e., sorting technique, to widen domain coverage and improve the effectiveness in initial platform formation. Furthermore, it successfully improves the FCM algorithm in such a way that more accurate clustering results can be obtained. A case study on a wood golf club design was used for illustrating the proposed approach. The results were promising and revealed the potential of the PCGS method.
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PDCS-a Product definition and customisation system for Product Concept development
Expert Systems with Applications, 2005Co-Authors: Chun-hsien Chen, Li Pheng Khoo, Wei YanAbstract:In recent years, owing to the rapid changing customer needs and much shorter Product life cycle than ever before, employing more efficient and flexible approaches for Product Concept development has become an imperative for a successful Product. This work aims at establishing a novel Product definition and customisation system (PDCS) for organisations to meet this demand in today's competitive and globalised business climate. A prototype PDCS is proposed, from a design knowledge-handling viewpoint, in this paper. It comprises two phases, namely, Product definition using the laddering technique and a novel design knowledge hierarchy (DKH), and Product customisation using an integrated methodology of conjoint analysis (CA) and Kohonen association (KA) techniques. Basically, this system is a method of making design decisions via customer involvement, i.e. a strategy for transferring customer preference into a specific Product Concept. A case study on wood golf club design has been used to illustrate and validate the PDCS. The details of the validation are discussed.
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Web-enabled Customer-oriented Product Concept Formation via Laddering Technique and Kohonen Association:
Concurrent Engineering, 2002Co-Authors: Chun-hsien Chen, Li Pheng Khoo, Wei YanAbstract:Product Concept formation is regarded as a key activity in new Product development and manufacturing (NPD&M). It may determine whether a NPD&M project will be successful or not. In the early stage of Product Concept formation, owing to the huge space of possible solutions as well as incomplete and imprecise information, it is difficult for designers to generate functional attributes and subsequently select customer-preferred design solutions. Although much research has been attempted to tackle this problem, few of them are capable of appropriately making a trade-off between initial design requirements of designers and those of customers. This study aims at establishing a prototype web-based customer-oriented Product Concept formation system. The prototype system involves customers in generating functional attributes and design alternatives as well as selecting preferred design solutions. To realize these, the laddering technique is first employed to set up a so-called functional attribute hierarchy (FAH) ...
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An investigation on a prototype customer-oriented information system for Product Concept development
Computers in Industry, 2002Co-Authors: Li Pheng Khoo, Chun-hsien ChenAbstract:Abstract In a competitive and globalised business environment, a company can never out-perform its competitors, if it depends solely on its Products alone. As a result, customer needs become an important factor to consider in new Product development. In this work, a customer-oriented information system (COIS) was investigated and employed to establish a closer link between Product re-innovation and customer involvement in the context of Product Concept development. It is aimed at improving design efficiency through managing multilevel Product information, and reducing time and cost. In order to expedite the implementation of such an information system, a so-called functional attributes hierarchy (FAH) was proposed and developed to elicit Product Concepts and relevant design specifications from both generic and specific viewpoints. The correlation between them in terms of individual customer requirements was also identified with the utilisation of the analytic hierarchy process (AHP) technique. In addition, an object-oriented technique that enables information stored in a relational database (RDB) to be accessed was developed. The development is aimed at eliminating the semantic gaps between the data model and engineering designs. A case study on wood golf club design was carried out to validate the bespoke COIS for Product Concept development.
Wei Yan - One of the best experts on this subject based on the ideXlab platform.
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Product Concept generation and selection using sorting technique and fuzzy c -means algorithm
Computers & Industrial Engineering, 2006Co-Authors: Wei Yan, Chun-hsien Chen, Meng-dar ShiehAbstract:Product Conceptualization is regarded as a key activity in new Product development (NPD). In this stage, Product Concept generation and selection plays a crucial role. This paper presents a Product Concept generation and selection (PCGS) approach, which was proposed to assist Product designers in generating and selecting design alternatives during the Product Conceptualization stage. In the PCGS, general sorting was adapted for initial requirements acquisition and platform definition; while a fuzzy c-means (FCM) algorithm was integrated with a design alternatives generation strategy for clustering design options and selecting preferred Product Concepts. The PCGS deliberates and embeds a psychology-originated method, i.e., sorting technique, to widen domain coverage and improve the effectiveness in initial platform formation. Furthermore, it successfully improves the FCM algorithm in such a way that more accurate clustering results can be obtained. A case study on a wood golf club design was used for illustrating the proposed approach. The results were promising and revealed the potential of the PCGS method.
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PDCS-a Product definition and customisation system for Product Concept development
Expert Systems with Applications, 2005Co-Authors: Chun-hsien Chen, Li Pheng Khoo, Wei YanAbstract:In recent years, owing to the rapid changing customer needs and much shorter Product life cycle than ever before, employing more efficient and flexible approaches for Product Concept development has become an imperative for a successful Product. This work aims at establishing a novel Product definition and customisation system (PDCS) for organisations to meet this demand in today's competitive and globalised business climate. A prototype PDCS is proposed, from a design knowledge-handling viewpoint, in this paper. It comprises two phases, namely, Product definition using the laddering technique and a novel design knowledge hierarchy (DKH), and Product customisation using an integrated methodology of conjoint analysis (CA) and Kohonen association (KA) techniques. Basically, this system is a method of making design decisions via customer involvement, i.e. a strategy for transferring customer preference into a specific Product Concept. A case study on wood golf club design has been used to illustrate and validate the PDCS. The details of the validation are discussed.
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Web-enabled Customer-oriented Product Concept Formation via Laddering Technique and Kohonen Association:
Concurrent Engineering, 2002Co-Authors: Chun-hsien Chen, Li Pheng Khoo, Wei YanAbstract:Product Concept formation is regarded as a key activity in new Product development and manufacturing (NPD&M). It may determine whether a NPD&M project will be successful or not. In the early stage of Product Concept formation, owing to the huge space of possible solutions as well as incomplete and imprecise information, it is difficult for designers to generate functional attributes and subsequently select customer-preferred design solutions. Although much research has been attempted to tackle this problem, few of them are capable of appropriately making a trade-off between initial design requirements of designers and those of customers. This study aims at establishing a prototype web-based customer-oriented Product Concept formation system. The prototype system involves customers in generating functional attributes and design alternatives as well as selecting preferred design solutions. To realize these, the laddering technique is first employed to set up a so-called functional attribute hierarchy (FAH) ...
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a radial basis function neural network multicultural factors evaluation engine for Product Concept development
Expert Systems, 2001Co-Authors: Wei Yan, Chun-hsien Chen, Li Pheng KhooAbstract:In recent years, new Product development (NPD) has become more and more competitive and globalized. In order to succeed in the global marketplace, it is imperative to take multicultural factors into serious consideration during the stage of Product Concept development. Generally, the voice of customers has been treated as a starting point to downstream Product definition and design metrics determination in developing new Product Concepts. As a result, the elicitation, representation and management of customer requirements will determine the success level of an organization's NPD efforts. Therefore, multicultural factors, also known as the ‘macro’ perspective in the business environment, are the most significant imperatives for organizations to handle, especially in the current trend of globalization. In practice, there are few holistic and promising systems for multicultural factor evaluation in customer requirements. This work aims at realizing a prototype system that combines the strengths of the laddering technique and the radial basis function neural network for customer requirements acquisition and multicultural factor evaluation. The performance of the prototype system is illustrated by using a case study on the design of a refrigerator. The results obtained from the case study are discussed.
Manabu Miyao - One of the best experts on this subject based on the ideXlab platform.
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UNDERSTANDING LINEAR AND NONLINEAR ASPECTS OF Product Concept DEVELOPMENT FROM THE ORGANISATIONAL INTERPRETATION PERSPECTIVE
International Journal of Innovation Management, 2016Co-Authors: Manabu MiyaoAbstract: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.