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A QFD-ANP Method for Supplier Selection with Benefits, Opportunities, Costs and Risks Considerations

Author

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  • Eleonora Bottani

    (Department of Engineering and Architecture, University of Parma, viale delle Scienze 181/A – 43124 Parma, Italy)

  • Piera Centobelli

    (#x2020;Department of Industrial Engineering, University of Naples Federico II, P.le Tecchio 80, 80125 – Naples, Italy)

  • Teresa Murino

    (#x2021;Department of Chemical Materials and Industrial Production Engineering, University of Naples Federico II, P.le Tecchio 80, 80125 – Naples, Italy)

  • Ehsan Shekarian

    (#xA7;Centre for Product Design and Manufacturing, Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia)

Abstract

This paper presents an original integrated procedure to evaluate and select suppliers for purchasing decisions. The procedure exploits the quality function deployment approach to define the suppliers’ characteristics, coupled with the analytic network process to capture the interrelations among the selection criteria and integrated with a benefits, opportunities, costs and risks (BOCR) analysis. As such, the proposed approach is more structured than the existing methods for supplier selection; in particular, it allows simultaneously to take into account the relevant criteria for supplier selection, to capture the situation in which the decision criteria are somehow dependent on one another and to evaluate the positive and negative aspects of the selection process. By using the proposed approach, companies can derive useful information to guide their partner selection process. An extensive case study is reported to show the application of the model to a selection process of a real Italian company. The application shows that the model is effective in identifying the most suitable supplier; moreover, a detailed sensitivity analysis highlights that the results of the ranking are very robust against possible changes in the relative importance of the BOCR perspectives.

Suggested Citation

  • Eleonora Bottani & Piera Centobelli & Teresa Murino & Ehsan Shekarian, 2018. "A QFD-ANP Method for Supplier Selection with Benefits, Opportunities, Costs and Risks Considerations," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(03), pages 911-939, May.
    • Handle: RePEc:wsi:ijitdm:v:17:y:2018:i:03:n:s021962201850013x
    DOI: 10.1142/S021962201850013X
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    References listed on IDEAS

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    2. Wang, Junqi & Cao, Hongjun, 2022. "Improving competitive strategic decisions of Chinese coal companies toward green transformation: A hybrid multi-criteria decision-making model," Resources Policy, Elsevier, vol. 75(C).
    3. Fatih Ecer, 2022. "Multi-criteria decision making for green supplier selection using interval type-2 fuzzy AHP: a case study of a home appliance manufacturer," Operational Research, Springer, vol. 22(1), pages 199-233, March.
    4. Wei Li & Serhat Yüksel & Hasan Dinçer, 2022. "Understanding the financial innovation priorities for renewable energy investors via QFD-based picture fuzzy and rough numbers," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-30, December.
    5. Patchara Phochanikorn & Chunqiao Tan, 2019. "An Integrated Multi-Criteria Decision-Making Model Based on Prospect Theory for Green Supplier Selection under Uncertain Environment: A Case Study of the Thailand Palm Oil Products Industry," Sustainability, MDPI, vol. 11(7), pages 1-22, March.
    6. Davide Cafasso & Cosimo Calabrese & Giorgia Casella & Eleonora Bottani & Teresa Murino, 2020. "Framework for Selecting Manufacturing Simulation Software in Industry 4.0 Environment," Sustainability, MDPI, vol. 12(15), pages 1-33, July.
    7. Cheng-An Tsai & Tien-Hwa Ho & Jyh-Shyan Lin & Chien-Chih Tu & Che-Wei Chang, 2021. "Model for Evaluating Outsourcing Logistics Companies in the COVID-19 Pandemic," Logistics, MDPI, vol. 5(3), pages 1-15, September.

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