Fuzzy linear programming models for NPD using a four-phase QFD activity process based on the means-end chain concept

Chen, Liang-Hsuan; Ko, Wen Chang

doi:10.1016/j.ejor.2009.03.010

Cited by 76 publications

(29 citation statements)

References 29 publications

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“…In the QFD literature, the first phase has especially received extensive attention, but recently research has been developed to apply multi-phased QFD. For example, unlike previous studies, which have focused only on determining product design requirement, Chen and Ko (2010) consider the close link between the four phases and presented a hierarchical QFD model for new product development. This multi-phase QFD model has been not only applied in product development but also in other areas.…”

Section: Qfd and Ahp For Supplier Selectionmentioning

confidence: 95%

A four-phase AHP–QFD approach for supplier assessment: a sustainability perspective

Dai

Blackhurst

2012

International Journal of Production Research

182

111

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Recently, companies have become increasingly aware of the need to evaluate suppliers from a sustainability perspective. Introducing the triple bottom line (economic, social, and environmental performance) into supplier assessment and selection decisions embeds a new set of trade-offs, complicating the decision-making process. Although many tools have been developed to help purchasing managers make more effective decisions, decision support tools, and methodologies which integrate sustainability (triple bottom line) into supplier assessment and selection are still sparse in the literature. Moreover, most approaches have not taken into consideration the impact of business objectives and requirements of company stakeholders on the supplier evaluation criteria. To help advance this area of research and further integrate sustainability into the supplier selection modelling area, we develop an integrated analytical approach, combining Analytical Hierarchy Process (AHP) with Quality Function Deployment (QFD), to enable the 'voice' of company stakeholders in the process. Drawing on the sustainable purchasing strategy development process, our AHP-QFD approach comprises four hierarchical phases: linking customer requirements with the company's sustainability strategy, determining the sustainable purchasing competitive priority, developing sustainable supplier assessment criteria, and lastly assessing the suppliers. An illustrative example is provided to demonstrate the application of the proposed approach.

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Section: Qfd and Ahp For Supplier Selectionmentioning

confidence: 95%

A four-phase AHP–QFD approach for supplier assessment: a sustainability perspective

Dai

Blackhurst

2012

International Journal of Production Research

182

111

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“…The author incorporated into the decision framework design the team's preferences by using linguistic variables. In a recent research, Chen and Ko (2010) used the Means‐End Chain (MEC) concept to build up a set of fuzzy linear programming models to determine the contribution of each ECs for the customer satisfaction, and to handle the risk related to the development of a new product. It should be noted that there are different approaches for fuzzy mathematical programming, such as: symmetric and asymmetric methods (Lai and Hwang, 1992).…”

Section: Design Team's Preferences Modelling Within the Qfdmentioning

confidence: 99%

An imprecise goal programming approach for modeling design team's preferences in quality function deployment planning process

Cherif

Aouni

Chabchoub

2010

Multi Criteria Decision Anal

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The Quality Function Deployment (QFD) is an approach that facilitates designing product by analyzing and projecting the Customer's Needs (CNs) in the Engineering Characteristics (ECs) of a product. The aim of QFD planning process is to determine the target levels for ECs of a product that achieve high level of overall customers' satisfaction. However, integrating design team's preferences in this preliminary stage of product design could make the design more realistic and could also avoid unfeasibility in posterior phases of the product development processes. Moreover, this process is performed within an imprecise environment, and more than one factor must be taken into account in determining targets levels of ECs; especially, the limited resources and increased market competition. This paper presents an imprecise goal programming approach to determine the best aspiration levels of ECs in QFD planning process. Based on benchmarking data of ECs, the concept of satisfaction functions will be utilized to integrate explicitly the design team's preferences and incorporate the competitive analysis of target market into the modelling and solution processes. In addition, the relationships linking CNs and ECs and the ECs to each other are integrated by functional relationships. The proposed approach will be illustrated through an example of product development of an emulsification dynamite packing machine.

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“…Thus, the field of QFD is portrayed as one that has grown both in depth and coverage, presenting a wide spectrum of problems. As such, there is a clear understanding that QFD is stronger today when compared with four decades ago [10][11][12]. Theoretical knowledge about QFD and modelling has also increased significantly during the last two decades [2,13,14].…”

Section: Qfd Historical Developmentmentioning

confidence: 99%

“…Differences in results could be studied for improvement in the eventual operations research model that may emerge if proper integration is made. 17 Chen and Ko [12] The authors consider the close link between the four phases of QFD using the means-end chain (MEC) concept to build up a set of fuzzy linear programming models to determine the contribution levels of each "how" for customer satisfaction by incorporating risk analysis and fuzzy approaches to deal with the vague nature of product development processes.…”

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confidence: 99%

Manufacturing Quality Function Deployment: Literature Review and Future Trends

Oke

2013

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Abstract.A comprehensive review of the Quality Function Deployment (QFD) literature is made using extensive survey as a methodology. The most important results of the study are: (i) QFD modelling and applications are one-sided; prioritisation of technical attributes only maximise customer satisfaction without considering cost incurred (ii) we are still missing considerable knowledge about neural networks for predicting improvement measures in customer satisfaction (iii) further exploration of the subsequent phases (process planning and production planning) of QFD is needed (iv) more decision support systems are needed to automate QFD (v) feedbacks from customers are not accounted for in current studies.Keywords: QFD, literature review, house of quality, voice of the customer, customer satisfaction, improvement.

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Fuzzy linear programming models for NPD using a four-phase QFD activity process based on the means-end chain concept

Cited by 76 publications

References 29 publications

A four-phase AHP–QFD approach for supplier assessment: a sustainability perspective

A four-phase AHP–QFD approach for supplier assessment: a sustainability perspective

An imprecise goal programming approach for modeling design team's preferences in quality function deployment planning process

Manufacturing Quality Function Deployment: Literature Review and Future Trends

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