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Improving the QFD Methodology

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Strategic System Assurance and Business Analytics

Part of the book series: Asset Analytics ((ASAN))

Abstract

The paper discusses the theoretical provisions and practical recommendations for the implementation, development and use of QFD analysis to improve the competitive ability of the organization and customer satisfaction, explored the application of Weber–Fechner law. Based on the analysis of theoretical and practical work, it can be concluded that at present many problems are devoted to the study of consumer satisfaction. However, most of the research involves processes to quality assurance of the products produced at each stage of the life cycle, which would guarantee a result that meets the requirements and expectations of the consumer. Attention is paid to issues of competitive ability of organizations to a lesser extent, which is currently the most urgent problem for domestic manufacturers. A universal tool for developing new products is QFD analysis, which forms a continuous information flow, ensuring that all elements of the production system are interconnected and subordinated to consumer requirements. From the point of view of the organization’s management, the introduction of QFD analysis is seen as an improvement in the design, technology or process in order to save costs, improve quality and other strategic goals to ensure the competitiveness of the organization. The disadvantages of the existing approach are that the method of calculating the significance of product characteristics does not take into account the degree of the organization’s lagging behind competitors.

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Acknowledgements

This research work was supported by the Academic Excellence Project 5-100 proposed by Peter the Great St. Petersburg Polytechnic University.

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Correspondence to Yury S. Klochkov .

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Klochkov, Y.S., Gazizulina, A., Ostapenko, M. (2020). Improving the QFD Methodology. In: Kapur, P.K., Singh, O., Khatri, S.K., Verma, A.K. (eds) Strategic System Assurance and Business Analytics. Asset Analytics. Springer, Singapore. https://doi.org/10.1007/978-981-15-3647-2_32

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