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Implementation of QFD method in quality analysis of confectionery products

Author

Listed:
  • Malgorzata Kowalska

    (Kazimierz Pulaski University of Technology and Humanities)

  • Magdalena Pazdzior

    (Kazimierz Pulaski University of Technology and Humanities)

  • Anna Krzton-Maziopa

    (Warsaw University of Technology)

Abstract

The paper presents the possibility of the application of QFD method as an effective tool to identify consumer preferences for a new characteristic of a sponge-fatty cake as well as designing of the high quality products of food industry. The consumer expectations were examined in relation to these products, and then translated into technical specifications, important from the point of view of the manufacturer of sponge-fatty cakes. The analysis showed that there is a chance of producing a type of sponge-fatty cakes that will meet the requirements of consumers, and at the same time meet the requirements of nutritionists and technologists. Results of the current study indicated that the main parameters responsible for the quality of the final product, preferred by consumers, are: the appropriate content of liquid and solid fat in the form of crystalline $$\beta ^{'}$$ β ′ , and the presence of refined fats. This means that consumers prefer a product that has a high volume and a suitable color, and does not have any perceptible “sandy” or “gritty” texture. The analysis showed that the resulting final product meets the respondents’ most rigorous requirements in terms of sponginess, product volume, humidity, brittleness; the analysis also revealed the additional health benefits of our product in comparison to two other products of competing food companies. However, delicate modifications of aroma, smell, and color were necessary. Besides, this paper showed how customers’ voice can be heard in order to reduce development and manufacturing costs, improve product quality, provide features that satisfy customer needs, and reduce development time. Furthermore, to give more insight into the problem, in this paper we have adopted a new approach by extending the quality function deployment matrix beyond the house of quality.

Suggested Citation

  • Malgorzata Kowalska & Magdalena Pazdzior & Anna Krzton-Maziopa, 2018. "Implementation of QFD method in quality analysis of confectionery products," Journal of Intelligent Manufacturing, Springer, vol. 29(2), pages 439-447, February.
    • Handle: RePEc:spr:joinma:v:29:y:2018:i:2:d:10.1007_s10845-015-1120-y
    DOI: 10.1007/s10845-015-1120-y
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    References listed on IDEAS

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    1. Chan, Lai-Kow & Wu, Ming-Lu, 2002. "Quality function deployment: A literature review," European Journal of Operational Research, Elsevier, vol. 143(3), pages 463-497, December.
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    Cited by:

    1. Artur Piasecki & Sylwia Hożejowska & Aneta Masternak-Janus & Magdalena Piasecka, 2024. "Using Quality Function Deployment to Assess the Efficiency of Mini-Channel Heat Exchangers," Energies, MDPI, vol. 17(10), pages 1-29, May.
    2. Yanlin Shi & Qingjin Peng, 2023. "Conceptual design of product structures based on WordNet hierarchy and association relation," Journal of Intelligent Manufacturing, Springer, vol. 34(6), pages 2655-2671, August.
    3. Hamid Reza Fazeli & Qingjin Peng, 2023. "Integrated approaches of BWM-QFD and FUCOM-QFD for improving weighting solution of design matrix," Journal of Intelligent Manufacturing, Springer, vol. 34(3), pages 1003-1020, March.
    4. Hien Nguyen Ngoc & Ganix Lasa & Ion Iriarte, 2022. "Human-centred design in industry 4.0: case study review and opportunities for future research," Journal of Intelligent Manufacturing, Springer, vol. 33(1), pages 35-76, January.
    5. Nanyi Wang & Chang Shi & Xinhui Kang, 2022. "Design of a Disinfection and Epidemic Prevention Robot Based on Fuzzy QFD and the ARIZ Algorithm," Sustainability, MDPI, vol. 14(24), pages 1-22, December.

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