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Multicriteria Approach for Supplier Selection: Evidence from a Case Study in the Fashion Industry

Author

Listed:
  • Giuseppe Caristi

    (Department of Economics, University of Messina, Via dei Verdi 75, 98122 Messina, Italy)

  • Raffaele Boffardi

    (Department of Social and Human Science, University of Naples “L’Orientale”, Largo San Giovanni Maggiore 30, 80134 Naples, Italy)

  • Cristina Ciliberto

    (Department of Economics, University of Messina, Via dei Verdi 75, 98122 Messina, Italy)

  • Roberta Arbolino

    (Department of Social and Human Science, University of Naples “L’Orientale”, Largo San Giovanni Maggiore 30, 80134 Naples, Italy)

  • Giuseppe Ioppolo

    (Department of Economics, University of Messina, Via dei Verdi 75, 98122 Messina, Italy)

Abstract

Worldwide manufactures are redesigning supply chains, often outsourcing with the aim of maintaining a competitive advantage and gaining market share. When selecting and purchasing fabrics, firms should actively cooperate with suppliers, to meet customers’ needs. In this view, the supplier selection process plays a key role in keeping a competitive edge in global markets. Therefore, this study proposes a multicriteria decision-making model (MCDM) to ease supplier evaluation and selection. Supply chain operation reference metrics (SCOR metrics) and fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS) are combined to build a model for supplier selection. The former allows us to conduct a very thorough fact-based analysis of all features in the supply chain, while the combination of fuzzy theory and SCOR model allows us to deal with uncertainty. The main novelty of this method is that it incorporates a consolidated supply chain management criteria within the framework of fuzzy set theory and multicriteria decision-making model (MCDM) facilitating their application into practice. The proposed approach is tested by considering the case of a manufacturing firm in the fashion industry willing to designate the most appropriate supplier within a set of three potential ones.

Suggested Citation

  • Giuseppe Caristi & Raffaele Boffardi & Cristina Ciliberto & Roberta Arbolino & Giuseppe Ioppolo, 2022. "Multicriteria Approach for Supplier Selection: Evidence from a Case Study in the Fashion Industry," Sustainability, MDPI, vol. 14(13), pages 1-21, June.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:8038-:d:853400
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    References listed on IDEAS

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    1. Jose Benitez & Yang Chen & Thompson S.H. Teo & Aseel Ajamieh, 2018. "Evolution of the impact of e-business technology on operational competence and firm profitability: A panel data investigation," Post-Print hal-01998202, HAL.
    2. Liao, Zhiying & Rittscher, Jens, 2007. "A multi-objective supplier selection model under stochastic demand conditions," International Journal of Production Economics, Elsevier, vol. 105(1), pages 150-159, January.
    3. Weber, Charles A. & Current, John R. & Benton, W. C., 1991. "Vendor selection criteria and methods," European Journal of Operational Research, Elsevier, vol. 50(1), pages 2-18, January.
    4. Miguel Afonso Sellitto & Giancarlo Medeiros Pereira & Miriam Borchardt & Rosnaldo Inácio da Silva & Cláudia Viviane Viegas, 2015. "A SCOR-based model for supply chain performance measurement: application in the footwear industry," International Journal of Production Research, Taylor & Francis Journals, vol. 53(16), pages 4917-4926, August.
    5. Handfield, Robert & Walton, Steven V. & Sroufe, Robert & Melnyk, Steven A., 2002. "Applying environmental criteria to supplier assessment: A study in the application of the Analytical Hierarchy Process," European Journal of Operational Research, Elsevier, vol. 141(1), pages 70-87, August.
    6. Subhani, Muhammad Imtiaz & Osman, Ms.Amber, 2010. "Factors affecting the decision making of out-sourcing in textile in Pakistan," MPRA Paper 27006, University Library of Munich, Germany, revised 09 Nov 2010.
    7. Scott Stephens, 2001. "Supply Chain Operations Reference Model Version 5.0: A New Tool to Improve Supply Chain Efficiency and Achieve Best Practice," Information Systems Frontiers, Springer, vol. 3(4), pages 471-476, December.
    8. D’Amico, Gaspare & Arbolino, Roberta & Shi, Lei & Yigitcanlar, Tan & Ioppolo, Giuseppe, 2022. "Digitalisation driven urban metabolism circularity: A review and analysis of circular city initiatives," Land Use Policy, Elsevier, vol. 112(C).
    9. Beamon, Benita M., 1998. "Supply chain design and analysis:: Models and methods," International Journal of Production Economics, Elsevier, vol. 55(3), pages 281-294, August.
    10. Biljana Petković & Yousef Zandi & Alireza Sadighi Agdas & Ivica Nikolić & Nebojša Denić & Nenad Kojić & Abdellatif Selmi & Alibek Issakhov & Slaviša Milošević & Afrasyab Khan, 2022. "Adaptive neuro fuzzy evaluation of energy and non‐energy material productivity impact on sustainable development based on circular economy and gross domestic product," Business Strategy and the Environment, Wiley Blackwell, vol. 31(1), pages 129-144, January.
    11. Soni, Gunjan & Kumar, Satish & Mahto, Raj V. & Mangla, Sachin K. & Mittal, M.L. & Lim, Weng Marc, 2022. "A decision-making framework for Industry 4.0 technology implementation: The case of FinTech and sustainable supply chain finance for SMEs," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    12. Lima-Junior, Francisco Rodrigues & Carpinetti, Luiz Cesar Ribeiro, 2016. "Combining SCOR® model and fuzzy TOPSIS for supplier evaluation and management," International Journal of Production Economics, Elsevier, vol. 174(C), pages 128-141.
    13. G. Kannan & A. Noorul Haq & P. Sasikumar & Subramaniam Arunachalam, 2008. "Analysis and selection of green suppliers using interpretative structural modelling and analytic hierarchy process," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 9(2), pages 163-182.
    14. Bai, Chunguang & Sarkis, Joseph, 2010. "Integrating sustainability into supplier selection with grey system and rough set methodologies," International Journal of Production Economics, Elsevier, vol. 124(1), pages 252-264, March.
    15. Jammernegg, Werner & Reiner, Gerald, 2007. "Performance improvement of supply chain processes by coordinated inventory and capacity management," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 183-190, July.
    16. Eduarda Asfora Frej & Lucia Reis Peixoto Roselli & Jônatas Araújo de Almeida & Adiel Teixeira de Almeida, 2017. "A Multicriteria Decision Model for Supplier Selection in a Food Industry Based on FITradeoff Method," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-9, October.
    17. Lin, Rong-Ho, 2012. "An integrated model for supplier selection under a fuzzy situation," International Journal of Production Economics, Elsevier, vol. 138(1), pages 55-61.
    18. Gumus, Alev Taskin & Guneri, Ali Fuat & Ulengin, Fusun, 2010. "A new methodology for multi-echelon inventory management in stochastic and neuro-fuzzy environments," International Journal of Production Economics, Elsevier, vol. 128(1), pages 248-260, November.
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