Innovative product development process by integrating QFD and TRIZ

Yamashina, Hajime; Ito, Takaaki; Kawada, Hiroshi

doi:10.1080/00207540110098490

Cited by 156 publications

(72 citation statements)

References 4 publications

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“…From the review, the QFD literature has been made richer with the application of design for six sigma, Kansei engineering, TRIZ, etc to QFD. Of particular interest is the integrated QFD and TRIZ framework by Yamashina et al [58]. The innovative algorithm by Wang et al [59] is also an addition to the expansion of the QFD-TRIZ linkage.…”

Section: General Studies On Qfdmentioning

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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Section: General Studies On Qfdmentioning

confidence: 99%

Manufacturing Quality Function Deployment: Literature Review and Future Trends

Oke

2013

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“…Kim and Cochran [28] reviewed a number of TRIZ concepts from the perspective of the axiomatic-design framework. Yamashina et al [29] proposed an effective integration of TRIZ and quality-function deployment, enabling technological innovations for the effectiveness and systematic operability of new products. John and Harrison [30] identified ways in which TRIZ tools and methodologies could be used to innovate the environment and then presented a way TRIZ could be applied as a sustainable design tool for specific purposes.…”

Section: Related Workmentioning

confidence: 99%

A Probabilistic Alternative Approach to Optimal Project Profitability Based on the Value-at-Risk

Kim

2018

Sustainability

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This paper focuses on an investment decision-making process for sustainable development based on the profitability impact factors for overseas projects. Investors prefer to use the discounted cash-flow method. Although this method is simple and straightforward, its critical weakness is its inability to reflect the factor volatility associated with the project evaluation. To overcome this weakness, the Value-at-Risk method is used to apply the volatility of the profitability impact factors, thereby reflecting the risks and establishing decision-making criteria for risk-averse investors. Risk-averse investors can lose relatively acceptable investment opportunities to risk-neutral or risk-amenable investors due to strict investment decision-making criteria. To overcome this problem, critical factors are selected through a Monte Carlo simulation and a sensitivity analysis, and solutions to the critical-factor problems are then found by using the Theory of Inventive Problem Solving and a business version of the Project Definition Rating Index. This study examines the process of recovering investment opportunities with projects that are investment feasible and that have been rejected when applying the criterion of the Value-at-Risk method. To do this, a probabilistic alternative approach is taken. To validate this methodology, the proposed framework for an improved decision-making process is demonstrated using two actual overseas projects of a Korean steel-making company.

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“…For each requirement, in step 2, the performance level of the design will then be evaluated against those of competitors' products. Then, by setting the present and target values, each requirement will be assigned the degree of difficulties, D {0, 1, 2, 3}, where 0, 1, 2, 3 represent that a requirement is already achieved, easily achievable respectively [10]. Now eac tance (W) and competitive aggregation of (P = W X D (technical performance, co 3…) within the respective c…”

Section: Sbce Irmentioning

confidence: 99%

Set Based Concurrent Engineering Innovation Roadmap

Kerga

Taisch

Terzi

2013

IFIP Advances in Information and Communication Technology

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Abstract. SBCE (Set Based Concurrent Engineering) is an element of lean practice in product development (PD), and it composes theoretical principles to apply it at early phase of a design process. However, executing principles of SBCE in practice require extensive efforts. Thus, a systematic methodology is required to identify and priorities potential areas (product's subsystems, components, features) where SBCE brings its utmost benefits. This paper proposes such a methodology called SBCE Innovation Roadmap (SBCE IR) that is used as a guideline by product designers to begin SBCE processes. A case study on Adiabatic Humidification System (AHS) is discussed to elaborate the SBCE IR methodology. Furthermore, an experimental SBCE process has been conducted on rack subsystem that shows a significant cost reduction.

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Innovative product development process by integrating QFD and TRIZ

Cited by 156 publications

References 4 publications

Manufacturing Quality Function Deployment: Literature Review and Future Trends

Manufacturing Quality Function Deployment: Literature Review and Future Trends

A Probabilistic Alternative Approach to Optimal Project Profitability Based on the Value-at-Risk

Set Based Concurrent Engineering Innovation Roadmap

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