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Article
Publication date: 1 February 2003

R. Belecheanu, K.S. Pawar, R.J. Barson, B. Bredehorst and F. Weber

This paper describes the application of case based reasoning (CBR) to decision support for design managers and engineers during the early phases of new product development…

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1507

Abstract

This paper describes the application of case based reasoning (CBR) to decision support for design managers and engineers during the early phases of new product development projects, in a concurrent engineering environment. The paper discusses the rationale of using CBR, emphasising its suitability for ill‐defined, unstructured problems, in comparison with traditional knowledge‐based systems. The overall research approach is presented, the importance of case collection, case base maintenance and user training is highlighted and the pre‐requisites for effective use of the system are discussed. Finally, the benefits and costs of the CBR system, as perceived by the user companies, are discussed. The experimental nature of the approach is emphasised and it is shown that the industrial environment for which the system is designed and in which it is used has great bearing on its capability.

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Integrated Manufacturing Systems, vol. 14 no. 1
Type: Research Article
ISSN: 0957-6061

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Article
Publication date: 23 October 2009

Ying‐Chin Ho and Chih‐Hsin Lin

The problem that original design manufacturing (ODM) companies encounter with the request for quotation (RFQ) process is that there is no effective and efficient…

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1465

Abstract

Purpose

The problem that original design manufacturing (ODM) companies encounter with the request for quotation (RFQ) process is that there is no effective and efficient methodology for them to formulate accurate and profitable RFQs. The purpose of this paper is to present a quality function deployment (QFD)‐, concurrent engineering (CE)‐, and target costing‐based methodology for ODM companies to formulate accurate and profitable RFQs.

Design/methodology/approach

From eight Taiwan electronics ODM companies, 15 people are interviewed to understand their current methods for formulating RFQs and the problems of these methods. Based on the interview results, it was decided to make use of the merits of QFD, CE, and target costing by integrating them into the proposed methodology.

Findings

A case study is presented to illustrate a successful application of the proposed methodology in a case company. The case study shows integrating QFD, CE, and target costing into the proposed methodology allows the authors to effectively and efficiently formulate an accurate and profitable RFQ for the case company.

Research limitations/implications

The interview sample quantity of this study is limited to eight Taiwan electronics companies, which is insufficient to represent all ODM companies in various industries. For the future research, it is suggested researchers collect more samples from different industries in order to verify the effectiveness of the proposed methodology in ODM companies from different industries.

Originality/value

This paper aims to integrate QFD, CE, and target costing to come up with a systematic ten‐step approach that can accurately formulate the three parts of an RFQ: the product specifications proposal, the product price quotation, and the product development schedule. By adopting this methodology, ODM companies can provide accurate and profitable RFQs to ODM customers, thus increasing their chances of obtaining ODM business.

Details

Journal of Manufacturing Technology Management, vol. 20 no. 8
Type: Research Article
ISSN: 1741-038X

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Article
Publication date: 1 July 2014

Vinayak Kalluri and Rambabu Kodali

The purpose of this paper is to present a systematic review and analysis of existing research articles on new product development (NPD) published in the 12-year period…

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2508

Abstract

Purpose

The purpose of this paper is to present a systematic review and analysis of existing research articles on new product development (NPD) published in the 12-year period starting from 1998 to 2009.

Design/methodology/approach

To explore the articles related to NPD, four key words namely new product, product design, product development and product innovation were used in combination of title or abstract or keyword of the articles through several knowledge databases. The abstracts of journal papers were read and a decision as to whether article belongs to any NPD research issue or not was made. In total, 1,127 research articles were categorized systematically and then analyzed on various principal NPD information groups.

Findings

Analysis of selected articles led to a certain level of dispersion in the publication of NPD research in different journals. It is found that more attention needs to be on knowledge and creativity management, communication and information transfer in any NPD process.

Originality/value

By observing extended literature from authors reviewing articles from various journals, growth in research, and variety of topics covered in NPD, a broad systematic multi journal review of NPD literature is clearly overdue. The authors have developed a comprehensive listing of publications on NPD where they have classified the surveyed papers according to various principal NPD information groups like: published year, NPD research stream, type of organization studied (industrial/consumer/service), level of innovation (high/moderate/low), NPD focus on frameworks, performance perspective (success, failure or both), NPD research design (conceptual/empirical and qualitative/quantitative) and NPD relevant best practice element. Based on the classification scheme, the issues were analyzed from the system's perspective and their implications to NPD research.

Details

Benchmarking: An International Journal, vol. 21 no. 4
Type: Research Article
ISSN: 1463-5771

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Article
Publication date: 24 August 2010

S.L. Chan and W.H. Ip

The paper aims to propose a novel strategic approach, named a Scorecard‐Markov model, combining an evaluation scorecard and a hidden Markov model (HMM) for new product…

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1271

Abstract

Purpose

The paper aims to propose a novel strategic approach, named a Scorecard‐Markov model, combining an evaluation scorecard and a hidden Markov model (HMM) for new product idea screening (NPIS) decisions.

Design/methodology/approach

A scorecard is constructed to evaluate new product ideas on several criteria, including customer needs, marketing strength, competency, manufacturing compatibility, and distribution channels, involving a consideration of risk buy. A HMM is then developed accordingly to predict the overall performance of new ideas in terms of success probability. To implement the model, it is trained and tested by the historical dataset of a world‐class, leading company in the power tools industry through a case study.

Findings

The approach is proven to be encouraging and meaningful. The scorecard can serve as a guide for new product idea evaluation to convert experts' linguistic judgments to quantifiable and comparable data, whereas the HMM can determine the success probability of new product ideas to support NPIS decision making based on their computed evaluation performance. The optimal cut‐off value for making either a go or kill decision on each idea can thus be determined. Concerning the case company, a go decision should be made when the probability lies in the interval [0.53, 1].

Practical implications

The model can prevent companies from undertaking risky and failed new product development projects. Further, it is believed that this study can assist decision makers in choosing winning new product ideas towards commercialization in an effective and certain manner, thus enhancing the new product success rate in the innovation industry.

Originality/value

The approach incorporating the scorecard method and HMM is novel. Illustrated by the case study, the application of this approach to NPIS decisions is confirmed to be effective.

Details

Industrial Management & Data Systems, vol. 110 no. 7
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 29 March 2011

Eric Bentzen, John K. Christiansen and Claus J. Varnes

Managers' attention is a scarce resource in complex innovation settings. Prior research on the factors to which managers pay attention is mostly based on surveys. The…

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2853

Abstract

Purpose

Managers' attention is a scarce resource in complex innovation settings. Prior research on the factors to which managers pay attention is mostly based on surveys. The present study aims to address the need for knowledge about the behavior of decision makers based on observations from portfolio meetings. The study seeks to investigate how managers allocate their attention and the role of different factors for their attention. Observations also make it possible to compare prior research and expectations with the actual observed behavior of decision makers.

Design/methodology/approach

The present analysis draws on insights from previous research into decision making in product and portfolio management and studies on organizational decision making. The authors frame why the attention of decision makers is so critical in complex situations. Data for this study were collected through direct observation, from a portfolio management system, and from an information quality measurement system in an internationally operating petrochemical company. Observations were transcribed, coded and analyzed with regression analysis using the Proc Lifereg procedure in SAS.

Findings

Six potential factors that might explain decision makers' attention are identified. The analysis shows that the quality of information was not significant for explaining variations of decision makers' attention; but, even more surprisingly, differences in project status did not explain variations in attention. Delayed projects did not get significantly more attention than those delivered on time. By controlling for other project characteristics, the newness of projects to the corporate portfolio was found to be the most important parameter.

Originality/value

First, the analysis is based on observations from actual meetings rather than from surveys. Second, several observations contradict prior research on product development, e.g. it has been argued that decision makers should pay special attention to certain phases and projects having trouble meeting expectations towards planned deadlines. It is also new that findings on the different treatment of new projects and ongoing projects have been brought forward in research on product and portfolio management.

Details

Management Decision, vol. 49 no. 3
Type: Research Article
ISSN: 0025-1747

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Article
Publication date: 1 October 2002

K.L. Choy and W.B. Lee

Many companies that were once centrally involved in the actual manufacture of products, and the delivery of their supporting services, now find themselves primarily…

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3434

Abstract

Many companies that were once centrally involved in the actual manufacture of products, and the delivery of their supporting services, now find themselves primarily engaged in integrating a number of other organizations, some of which they may own but many of which will be independent, each of which goes to make up a particular supply network. Consequently, continuously tracking performance of suppliers and an appropriate selection mechanism is one of the crucial activities in managing this supply network. This paper presents an intelligent generic supplier management tool (GSMT) using the case‐based reasoning (CBR) technique for outsourcing to suppliers and automating the decision‐making process when selecting them. The development of GSMT and how the CBR technique is applied is then given, followed by an application of GSMT in Honeywell Consumer Products (Hong Kong) Limited.

Details

Logistics Information Management, vol. 15 no. 4
Type: Research Article
ISSN: 0957-6053

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Article
Publication date: 1 February 2003

K.M. Lee, H.C.W. Lau, I.‐K. Hui and K.‐M. Yu

Getting the right information at the right time is one of the success factors of product development. However, there exist a great variety of data formats which make the…

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1121

Abstract

Getting the right information at the right time is one of the success factors of product development. However, there exist a great variety of data formats which make the bi‐directional data interchange among various development groups inefficient and costly. Due to the lack of adequate product and engineering data, design practitioners may find it difficult to transform the customer’s requirements to a value‐added product. This paper attempts to propose a hybrid database approach (HDA) to support effective data exchange among a case based reasoning knowledge repository and a corporate relational database model, presenting an integrated view of a company’s knowledge sources so as to enable better decision‐making by providing immediate access to key business information. To introduce machine learning capability to the whole system, case based reasoning (CBR) is embraced to capture past experience and knowledge for case matching in terms of product development issues. The significance of this research is the provision of a cross‐platform data exchange system, which is able to facilitate the creation of a conducive product development environment.

Details

Integrated Manufacturing Systems, vol. 14 no. 1
Type: Research Article
ISSN: 0957-6061

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Article
Publication date: 1 June 2003

K.L. Choy, Kenny K.H. Fan and Victor Lo

In increasingly competitive markets, customer satisfaction is a vital corporate objective. Key elements to increasing customer satisfaction include producing consistently…

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4861

Abstract

In increasingly competitive markets, customer satisfaction is a vital corporate objective. Key elements to increasing customer satisfaction include producing consistently high‐quality products and providing high‐quality customer service. Also, supplier relationship management (SRM) contributes to the supplier selection and increases the competitive advantage of manufacturers. SRM can enhance customer satisfaction and increase market share. Thus the development of a customer‐SRM system in the areas of outsourcing is essential for a company to remain competitive. Discusses an intelligent customer‐SRM system (ISRMS), using case‐based reasoning to help solve problems such as supplier selection and the help desk problem‐solving approach. By using ISRMS, companies can select the most suitable suppliers from the supplier list, as well as establishing a good customer‐supplier relationship between parties.

Details

Industrial Management & Data Systems, vol. 103 no. 4
Type: Research Article
ISSN: 0263-5577

Keywords

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