IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v324y2023i1d10.1007_s10479-022-04678-4.html
   My bibliography  Save this article

Multivariate supplier selection for asymmetric specification region: using price and quality

Author

Listed:
  • Moutushi Chatterjee

    (Lady Brabourne College)

Abstract

Selecting a supplier is one of the most important factors in the so-called ‘Supply Chain Management’. In the present article, supplier selection problem is addressed particularly for multivariate processes, i.e. processes having two or more correlated characteristics, with asymmetric specification region. Quality and price play two major roles in selecting suppliers, so does price. In this context, apart from price and quality, some other major criteria for supplier selection are service level agreement (SLA), proximity to the manufacturing facilities, sustainability initiatives and so on (refer Taherdoost and Brard in Proc Manuf 32:1027–1034, 2019). Unfortunately, very little research is available in literature, handling quality and price simultaneously, while dealing with supplier selection. In this article, at first, a multivariate process capability index (MPCI) based approach is adopted using the conventional phase wise hypothesis testing procedure. Next, a graphical representation, called multivariate capability-price comparison (MCPC) chart is proposed, which can accommodate both the quality and price constraints, making the selection of supplier more rational. A real life example has been discussed to supplement the theory developed in this article.

Suggested Citation

  • Moutushi Chatterjee, 2023. "Multivariate supplier selection for asymmetric specification region: using price and quality," Annals of Operations Research, Springer, vol. 324(1), pages 1023-1040, May.
  • Handle: RePEc:spr:annopr:v:324:y:2023:i:1:d:10.1007_s10479-022-04678-4
    DOI: 10.1007/s10479-022-04678-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10479-022-04678-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10479-022-04678-4?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jose L. Andrade-Pineda & David Canca & Pedro L. Gonzalez-R, 2017. "On modelling non-linear quantity discounts in a supplier selection problem by mixed linear integer optimization," Annals of Operations Research, Springer, vol. 258(2), pages 301-346, November.
    2. Yongbo Li & Ali Diabat & Chung-Cheng Lu, 2020. "Leagile supplier selection in Chinese textile industries: a DEMATEL approach," Annals of Operations Research, Springer, vol. 287(1), pages 303-322, April.
    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. Xiangling Hu & Charles Munson & Stergios Fotopoulos, 2012. "Purchasing decisions under stochastic prices: Approximate solutions for order time, order quantity and supplier selection," Annals of Operations Research, Springer, vol. 201(1), pages 287-305, December.
    5. Moutushi Chatterjee & Ashis Kumar Chakraborty, 2017. "Unification of some multivariate process capability indices for asymmetric specification region," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 71(4), pages 286-306, November.
    6. Verma, Rohit & Pullman, Madeleine E., 1998. "An analysis of the supplier selection process," Omega, Elsevier, vol. 26(6), pages 739-750, December.
    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. Federico Toffano & Michele Garraffa & Yiqing Lin & Steven Prestwich & Helmut Simonis & Nic Wilson, 2022. "A multi-objective supplier selection framework based on user-preferences," Annals of Operations Research, Springer, vol. 308(1), pages 609-640, January.
    2. Cakravastia, Andi & Toha, Isa S. & Nakamura, Nobuto, 2002. "A two-stage model for the design of supply chain networks," International Journal of Production Economics, Elsevier, vol. 80(3), pages 231-248, December.
    3. Hayk Manucharyan, 2020. "Supplier selection in emerging market economies: a discrete choice analysis," Working Papers 2020-11, Faculty of Economic Sciences, University of Warsaw.
    4. van der Rhee, Bo & Verma, Rohit & Plaschka, Gerhard, 2009. "Understanding trade-offs in the supplier selection process: The role of flexibility, delivery, and value-added services/support," International Journal of Production Economics, Elsevier, vol. 120(1), pages 30-41, July.
    5. Talluri, Srinivas & Narasimhan, Ram, 2003. "Vendor evaluation with performance variability: A max-min approach," European Journal of Operational Research, Elsevier, vol. 146(3), pages 543-552, May.
    6. Mubarik, Muhammad Shujaat & Kazmi, Syed Hasnain Alam & Zaman, Syed Imran, 2021. "Application of gray DEMATEL-ANP in green-strategic sourcing," Technology in Society, Elsevier, vol. 64(C).
    7. Shubhra Paul & Lauren B. Davis, 2022. "An ensemble forecasting model for predicting contribution of food donors based on supply behavior," Annals of Operations Research, Springer, vol. 319(1), pages 1-29, December.
    8. Chan, Felix T.S. & Kumar, Niraj, 2007. "Global supplier development considering risk factors using fuzzy extended AHP-based approach," Omega, Elsevier, vol. 35(4), pages 417-431, August.
    9. Chen, Chen-Tung & Lin, Ching-Torng & Huang, Sue-Fn, 2006. "A fuzzy approach for supplier evaluation and selection in supply chain management," International Journal of Production Economics, Elsevier, vol. 102(2), pages 289-301, August.
    10. Das, Sanchoy K. & Abdel-Malek, Layek, 2003. "Modeling the flexibility of order quantities and lead-times in supply chains," International Journal of Production Economics, Elsevier, vol. 85(2), pages 171-181, August.
    11. Xiao, Tiaojun & Choi, Tsan-Ming, 2009. "Purchasing choices and channel structure strategies for a two-echelon system with risk-averse players," International Journal of Production Economics, Elsevier, vol. 120(1), pages 54-65, July.
    12. Talluri, Srinivas, 2002. "A buyer-seller game model for selection and negotiation of purchasing bids," European Journal of Operational Research, Elsevier, vol. 143(1), pages 171-180, November.
    13. Zerbini, Fabrizio & Borghini, Stefania, 2015. "Release capacity in the vendor selection process," Journal of Business Research, Elsevier, vol. 68(2), pages 405-414.
    14. Marie Jurová & Ekaterina Sutormina, 2010. "Modern methods of evaluation existing suppliers and suppliers selected by customer for small and medium-sized companies [Moderní metody hodnocení stávajících dodavatelů a dodavatelů vybraných zákaz," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 58(6), pages 199-208.
    15. Ekaterina Chytilová & Marie Jurová, 2012. "The application of method suppliers' complex evaluation. Case study," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 60(7), pages 139-146.
    16. Mustapha HLYAL & Mohamed CHAHID & Aziz SOULHI & Jamila ALAMI & Nouredine ALAMI, 2015. "Supplier’s Selection for the Moroccan Textile Sector by Using Performance Measurement System," Modern Applied Science, Canadian Center of Science and Education, vol. 9(3), pages 102-102, March.
    17. 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.
    18. Talluri, Srinivas & Narasimhan, Ram & Nair, Anand, 2006. "Vendor performance with supply risk: A chance-constrained DEA approach," International Journal of Production Economics, Elsevier, vol. 100(2), pages 212-222, April.
    19. 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.
    20. Talluri, Srinivas & Narasimhan, Ram, 2004. "A methodology for strategic sourcing," European Journal of Operational Research, Elsevier, vol. 154(1), pages 236-250, April.

    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:spr:annopr:v:324:y:2023:i:1:d:10.1007_s10479-022-04678-4. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.