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Web based casting supplier evaluation using analytical hierarchy process

Author

Listed:
  • M M Akarte

    (Indian Institute of Technology)

  • N V Surendra

    (Indian Institute of Technology)

  • B Ravi

    (Indian Institute of Technology)

  • N Rangaraj

    (Indian Institute of Technology)

Abstract

Manufacturing companies are increasingly dependent on outsourcing to improve their competitive position. At the same time, the approach to supplier selection has dramatically changed from being price-driven to one based on overall capability of the supplier, very much in evidence in the automobile castings sector facing the challenge of mass customization. In this study, 18 criteria have been identified for casting supplier assessment and segregated in four groups—product development capability, manufacturing capability, quality capability, and cost and delivery. A systematic approach to evaluating casting quality suppliers has been developed using the analytical hierarchy process, which enables the combination of tangible and intangible criteria and checking the consistency of decision-making. The approach has been implemented in a prototype web-based system.

Suggested Citation

  • M M Akarte & N V Surendra & B Ravi & N Rangaraj, 2001. "Web based casting supplier evaluation using analytical hierarchy process," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 52(5), pages 511-522, May.
    • Handle: RePEc:pal:jorsoc:v:52:y:2001:i:5:d:10.1057_palgrave.jors.2601124
    DOI: 10.1057/palgrave.jors.2601124
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    Citations

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    Cited by:

    1. Hongyi Sun & Bingqian Zhang & Wenbin Ni, 2022. "A Hybrid Model Based on SEM and Fuzzy TOPSIS for Supplier Selection," Mathematics, MDPI, vol. 10(19), pages 1-19, September.
    2. Dekkers, Rob & Chang, C.M. & Kreutzfeldt, Jochen, 2013. "The interface between “product design and engineering” and manufacturing: A review of the literature and empirical evidence," International Journal of Production Economics, Elsevier, vol. 144(1), pages 316-333.
    3. Longlong Ye & Guang Song & Shaohua Song, 2024. "Enhancing Economic, Resilient, and Sustainable Outcomes Through Supplier Selection and Order Allocation in the Food Manufacturing Industry: A Hybrid Delphi-FAHP-FMOP Method," Mathematics, MDPI, vol. 12(21), pages 1-25, October.
    4. A Ishizaka & D Balkenborg & T Kaplan, 2011. "Does AHP help us make a choice? An experimental evaluation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(10), pages 1801-1812, October.
    5. R-H Lin, 2009. "Potential use of FP-growth algorithm for identifying competitive suppliers in SCM," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(8), pages 1135-1141, August.
    6. Ho, William & Xu, Xiaowei & Dey, Prasanta K., 2010. "Multi-criteria decision making approaches for supplier evaluation and selection: A literature review," European Journal of Operational Research, Elsevier, vol. 202(1), pages 16-24, April.
    7. María-José Verdecho & Faustino Alarcón-Valero & David Pérez-Perales & Juan-José Alfaro-Saiz & Raúl Rodríguez-Rodríguez, 2021. "A methodology to select suppliers to increase sustainability within supply chains," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(4), pages 1231-1251, December.
    8. A Ishizaka & D Balkenborg & T Kaplan, 2011. "Influence of aggregation and measurement scale on ranking a compromise alternative in AHP," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(4), pages 700-710, April.
    9. Reza Farzipoor Saen, 2009. "A decision model for ranking suppliers in the presence of cardinal and ordinal data, weight restrictions, and nondiscretionary factors," Annals of Operations Research, Springer, vol. 172(1), pages 177-192, November.
    10. Emete Toros & Yavuz Gazibey, 2018. "Priorities of the citizens in city brand development: comparison of two cities (Nicosia and Kyrenia) by using analytic hierarchy process (AHP) approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(1), pages 413-437, December.
    11. P Ji & R Jiang, 2003. "Scale transitivity in the AHP," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(8), pages 896-905, August.
    12. Govindan, Kannan & Kadziński, Miłosz & Sivakumar, R., 2017. "Application of a novel PROMETHEE-based method for construction of a group compromise ranking to prioritization of green suppliers in food supply chain," Omega, Elsevier, vol. 71(C), pages 129-145.
    13. Ehsan Afshar Bakeshlou & Alireza Arshadi Khamseh & Mohammad Ali Goudarzian Asl & Javad Sadeghi & Mostafa Abbaszadeh, 2017. "Evaluating a green supplier selection problem using a hybrid MODM algorithm," Journal of Intelligent Manufacturing, Springer, vol. 28(4), pages 913-927, April.
    14. Manoj Kumar Mohanty & Padmabati Gahan, 2013. "Supplier performance measurement in discrete manufacturing industry-empirical study on Indian manufacturing sector," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 14(2), pages 330-347, April.
    15. Stefan Jovčić & Petr Průša, 2021. "A Hybrid MCDM Approach in Third-Party Logistics (3PL) Provider Selection," Mathematics, MDPI, vol. 9(21), pages 1-19, October.
    16. P Leskinen, 2008. "Numerical scaling of ratio scale utilities in multi-criteria decision analysis with geometric model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(3), pages 407-415, March.
    17. Li, Lei & Zabinsky, Zelda B., 2011. "Incorporating uncertainty into a supplier selection problem," International Journal of Production Economics, Elsevier, vol. 134(2), pages 344-356, December.
    18. Hsin-Hung Wu & Ya-Ning Tsai, 2012. "Using AHP to evaluate the criteria of auto spare parts industry," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(1), pages 359-364, January.
    19. Jung-Yu Lai & Juite Wang & Yi-Hsuan Chiu, 2021. "Evaluating blockchain technology for reducing supply chain risks," Information Systems and e-Business Management, Springer, vol. 19(4), pages 1089-1111, December.
    20. Aly Owida & P.J. Byrne & Cathal Heavey & Paul Blake & Khaled S. El-Kilany, 2016. "A simulation based continuous improvement approach for manufacturing based field repair service contracting," International Journal of Production Research, Taylor & Francis Journals, vol. 54(21), pages 6458-6477, November.
    21. Alejandro Fernandez & Pascale Zaraté & Juan Cruz Gardey & Gabriela Bosetti, 2021. "Supporting multi-criteria decision-making across websites: the Logikós approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(1), pages 201-225, March.

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