IDEAS home Printed from https://ideas.repec.org/a/zbw/espost/182470.html
   My bibliography  Save this article

A vendor’s evaluation–using AHP for an Indian steel pipe manufacturing company

Author

Listed:
  • Kamath, Giridhar
  • Naik, Rakesh
  • Prasad, H C Shiva

Abstract

To improve a firm’s supply chain performance, it is essential to have a vendor evaluation process to be able to showcase an organization’s success in the present aggressive market. Hence, the process of evaluating the vendor is a crucial task of the purchasing executives in supply chain management. The objective of this research is to propose a methodology to evaluate the vendors for a steel pipe manufacturing firm in Gujarat, India. For the purpose of the study, the Analytical Hierarchy Process was used to evaluate the best raw material vendor for this company. Multiple qualitative and quantitative criteria are involved in the vendor evaluation process. To solve the complex problem of vendor evaluation, a trade-off between these multi-criteria is important. The outcomes indicated that the AHP technique makes it simpler to assign weights for the different criteria for evaluating the vendor. Research findings showed that quality is the most important criterion followed by delivery, cost and vendor relationship management.

Suggested Citation

  • Kamath, Giridhar & Naik, Rakesh & Prasad, H C Shiva, 2016. "A vendor’s evaluation–using AHP for an Indian steel pipe manufacturing company," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 8(3), pages 442-461.
  • Handle: RePEc:zbw:espost:182470
    DOI: 10.13033/ijahp.v8i3.460
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/182470/1/2016%20A%20Vendor%20%20Evaluation%e2%80%93Using%20AHP%20for%20An%20Indian%20Pipe%20Manufacturing%20company.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.13033/ijahp.v8i3.460?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Shpend IMERI, 2013. "Key Performance Criteria For Vendor Selection €“ A Literature Review," Management Research and Practice, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 5(2), pages 63-75, June.
    3. S Yahya & B Kingsman, 1999. "Vendor rating for an entrepreneur development programme: a case study using the analytic hierarchy process method," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(9), pages 916-930, September.
    4. Tam, Maggie C. Y. & Tummala, V. M. Rao, 2001. "An application of the AHP in vendor selection of a telecommunications system," Omega, Elsevier, vol. 29(2), pages 171-182, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Xiongyong Zhou & Zhiduan Xu, 2018. "An Integrated Sustainable Supplier Selection Approach Based on Hybrid Information Aggregation," Sustainability, MDPI, vol. 10(7), pages 1-49, July.
    3. Pishchulov, Grigory & Trautrims, Alexander & Chesney, Thomas & Gold, Stefan & Schwab, Leila, 2019. "The Voting Analytic Hierarchy Process revisited: A revised method with application to sustainable supplier selection," International Journal of Production Economics, Elsevier, vol. 211(C), pages 166-179.
    4. 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.
    5. Huang, Samuel H. & Keskar, Harshal, 2007. "Comprehensive and configurable metrics for supplier selection," International Journal of Production Economics, Elsevier, vol. 105(2), pages 510-523, February.
    6. Yahya, Salleh & Kingsman, Brian, 2002. "Modelling a multi-objective allocation problem in a government sponsored entrepreneur development programme," European Journal of Operational Research, Elsevier, vol. 136(2), pages 430-448, January.
    7. Agnieszka Konys, 2019. "Green Supplier Selection Criteria: From a Literature Review to a Comprehensive Knowledge Base," Sustainability, MDPI, vol. 11(15), pages 1-41, August.
    8. Hu, Kuo-Jen & Yu, Vincent F., 2016. "An integrated approach for the electronic contract manufacturer selection problem," Omega, Elsevier, vol. 62(C), pages 68-81.
    9. Ashoke Kumar Bera & Dipak Kumar Jana & Debamalya Banerjee & Titas Nandy, 2021. "A Two-Phase Multi-criteria Fuzzy Group Decision Making Approach for Supplier Evaluation and Order Allocation Considering Multi-objective, Multi-product and Multi-period," Annals of Data Science, Springer, vol. 8(3), pages 577-601, September.
    10. Wang, Ge & Huang, Samuel H. & Dismukes, John P., 2004. "Product-driven supply chain selection using integrated multi-criteria decision-making methodology," International Journal of Production Economics, Elsevier, vol. 91(1), pages 1-15, September.
    11. Irfan Ali & Armin Fügenschuh & Srikant Gupta & Umar Muhammad Modibbo, 2020. "The LR-Type Fuzzy Multi-Objective Vendor Selection Problem in Supply Chain Management," Mathematics, MDPI, vol. 8(9), pages 1-25, September.
    12. García Alcaraz Jorge Luis & Alvarado Iniesta Alejandro & Maldonado Macías Aidé Araceli, 2013. "Selección de proveedores basada en análisis dimensional," Contaduría y Administración, Accounting and Management, vol. 58(3), pages 249-278, julio-sep.
    13. Stefan Jovčić & Petr Průša & Momčilo Dobrodolac & Libor Švadlenka, 2019. "A Proposal for a Decision-Making Tool in Third-Party Logistics (3PL) Provider Selection Based on Multi-Criteria Analysis and the Fuzzy Approach," Sustainability, MDPI, vol. 11(15), pages 1-23, August.
    14. Wetzstein, Anton & Hartmann, Evi & Benton jr., W.C. & Hohenstein, Nils-Ole, 2016. "A systematic assessment of supplier selection literature – State-of-the-art and future scope," International Journal of Production Economics, Elsevier, vol. 182(C), pages 304-323.
    15. Tien-Chin Wang & Su-Yuan Tsai, 2018. "Solar Panel Supplier Selection for the Photovoltaic System Design by Using Fuzzy Multi-Criteria Decision Making (MCDM) Approaches," Energies, MDPI, vol. 11(8), pages 1-22, July.
    16. Cheshmberah Mohsen, 2020. "Developing an Integrated Framework for Supplier Evaluation based on Relevant Attributes and Performance Measures," Logistics, Supply Chain, Sustainability and Global Challenges, Sciendo, vol. 11(1), pages 101-113, February.
    17. Roya Ghamari & Mohammad Mahdavi-Mazdeh & Seyed Farid Ghannadpour, 2022. "Resilient and sustainable supplier selection via a new framework: a case study from the steel industry," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(8), pages 10403-10441, August.
    18. Nassimbeni, Guido, 1996. "Factors underlying operational JIT purchasing practices: Results of an empirical research," International Journal of Production Economics, Elsevier, vol. 42(3), pages 275-288, April.
    19. Alptekin Ulutaş & Ayşe Topal & Dragan Pamučar & Željko Stević & Darjan Karabašević & Gabrijela Popović, 2022. "A New Integrated Multi-Criteria Decision-Making Model for Sustainable Supplier Selection Based on a Novel Grey WISP and Grey BWM Methods," Sustainability, MDPI, vol. 14(24), pages 1-20, December.
    20. Yang, Hui & Chen, Jing & Chen, Xu & Chen, Bintong, 2017. "The impact of customer returns in a supply chain with a common retailer," European Journal of Operational Research, Elsevier, vol. 256(1), pages 139-150.

    More about this item

    Keywords

    Cost; Delivery; Quality; Vendor evaluation; Vendor relationship management;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:espost:182470. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/zbwkide.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.