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Capturing and prioritizing students’ requirements for course design by embedding Fuzzy-AHP and linear programming in QFD

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  • Kamvysi, Konstantina
  • Gotzamani, Katerina
  • Andronikidis, Andreas
  • Georgiou, Andreas C.

Abstract

Customer requirements play a vital and important role in the design of products and services. Quality Function Deployment (QFD) is a popular, widely used method that helps translate customer requirements into design specifications. Thus, the foundation for a successful QFD implementation lies in the accurate capturing and prioritization of these requirements. This paper proposes and tests the use of an alternative framework for prioritizing students’ requirements within QFD. More specifically, Fuzzy Analytic Hierarchy Process (Fuzzy-AHP) and the linear programming method (LP-GW-AHP) based on Data Envelopment Analysis (DEA) are embedded into QFD (QFD-LP-GW-Fuzzy AHP) in order to account for inherent subjectivity of human judgements. The effectiveness of the proposed framework is assessed in capturing and prioritizing students’ requirements regarding courses’ learning outcomes within the process of an academic course design. Sensitivity analysis evaluates the robustness of the prioritization solution and implications for course design specifications are discussed.

Suggested Citation

  • Kamvysi, Konstantina & Gotzamani, Katerina & Andronikidis, Andreas & Georgiou, Andreas C., 2014. "Capturing and prioritizing students’ requirements for course design by embedding Fuzzy-AHP and linear programming in QFD," European Journal of Operational Research, Elsevier, vol. 237(3), pages 1083-1094.
    • Handle: RePEc:eee:ejores:v:237:y:2014:i:3:p:1083-1094
    DOI: 10.1016/j.ejor.2014.02.042
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    4. Kim, Juhan & Lee, Jungbae & Kim, BumChoong & Kim, Jinsoo, 2019. "Raw material criticality assessment with weighted indicators: An application of fuzzy analytic hierarchy process," Resources Policy, Elsevier, vol. 60(C), pages 225-233.
    5. Asadabadi, Mehdi Rajabi, 2017. "A customer based supplier selection process that combines quality function deployment, the analytic network process and a Markov chain," European Journal of Operational Research, Elsevier, vol. 263(3), pages 1049-1062.
    6. Sevgi Abdalla, 2022. "Application of a Combined Approach of Text Mining and QFD Methodology Based on Single Valued Neutrosophic Numbers for Efficient Curriculum Design," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 10(2), pages 127-138, December.
    7. Chowdhury, Md. Maruf Hossan & Quaddus, Mohammed A., 2016. "A multi-phased QFD based optimization approach to sustainable service design," International Journal of Production Economics, Elsevier, vol. 171(P2), pages 165-178.
    8. Chowdhury, Md. Maruf Hossan & Quaddus, Mohammed A., 2015. "A multiple objective optimization based QFD approach for efficient resilient strategies to mitigate supply chain vulnerabilities: The case of garment industry of Bangladesh☆,☆☆☆This manuscript was pro," Omega, Elsevier, vol. 57(PA), pages 5-21.
    9. Ho, William & Ma, Xin, 2018. "The state-of-the-art integrations and applications of the analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 267(2), pages 399-414.
    10. Lucas, Rochelle Irene & Promentilla, Michael Angelo & Ubando, Aristotle & Tan, Raymond Girard & Aviso, Kathleen & Yu, Krista Danielle, 2017. "An AHP-based evaluation method for teacher training workshop on information and communication technology," Evaluation and Program Planning, Elsevier, vol. 63(C), pages 93-100.
    11. Nicolas Haber & Mario Fargnoli, 2021. "Sustainable Product-Service Systems Customization: A Case Study Research in the Medical Equipment Sector," Sustainability, MDPI, vol. 13(12), pages 1-20, June.
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    13. Račić Željko V., 2018. "Fuzzification - Decision Making in Terms of Uncertainty," Economics, Sciendo, vol. 6(2), pages 87-94, December.

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