IDEAS home Printed from https://ideas.repec.org/a/eee/oprepe/v5y2018icp69-79.html
   My bibliography  Save this article

Supplier selection towards uncertain and unavailable information: An extension of TOPSIS method

Author

Listed:
  • Sureeyatanapas, Panitas
  • Sriwattananusart, Kawinpob
  • Niyamosoth, Thanawath
  • Sessomboon, Weerapat
  • Arunyanart, Sirawadee

Abstract

Due to intensive competition among business corporations, the selection of supplier becomes more significant for business success. However, supplier selection problems are complex since a large number of criteria need to be considered and, frequently, some criteria cannot be assessed precisely. Moreover, fluctuations of supplier performances as well as unknown information always exist in real-world decisions. This study, therefore, aims to propose a method to facilitate practitioners to logically select a supplier, even when uncertainty and/or unavailability of the assessment information emerge. The TOPSIS method is chosen to be the basis for this development. The rank order centroid (ROC) method is chosen to determine the weights of criteria in order to lessen the degree of subjectivity required from the decision makers as well as uncertainty of the weights assignment. A case of egg supplier selection is given to demonstrate the implementation procedures of the proposed method.

Suggested Citation

  • Sureeyatanapas, Panitas & Sriwattananusart, Kawinpob & Niyamosoth, Thanawath & Sessomboon, Weerapat & Arunyanart, Sirawadee, 2018. "Supplier selection towards uncertain and unavailable information: An extension of TOPSIS method," Operations Research Perspectives, Elsevier, vol. 5(C), pages 69-79.
    • Handle: RePEc:eee:oprepe:v:5:y:2018:i:c:p:69-79
    DOI: 10.1016/j.orp.2018.01.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S221471601730132X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.orp.2018.01.005?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. 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.
    2. 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.
    3. Craig W. Kirkwood & Rakesh K. Sarin, 1985. "Ranking with Partial Information: A Method and an Application," Operations Research, INFORMS, vol. 33(1), pages 38-48, February.
    4. Dagmara Nawrocka, 2008. "Environmental supply chain management, ISO 14001 and RoHS. How are small companies in the electronics sector managing?," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 15(6), pages 349-360, November.
    5. Yeu-Shiang Huang & Wei-Hao Li, 2012. "A Study on Aggregation of TOPSIS Ideal Solutions for Group Decision-Making," Group Decision and Negotiation, Springer, vol. 21(4), pages 461-473, July.
    6. F. Hutton Barron & Bruce E. Barrett, 1996. "Decision Quality Using Ranked Attribute Weights," Management Science, INFORMS, vol. 42(11), pages 1515-1523, November.
    7. Yang, Jian-Bo, 2001. "Rule and utility based evidential reasoning approach for multiattribute decision analysis under uncertainties," European Journal of Operational Research, Elsevier, vol. 131(1), pages 31-61, May.
    8. Chia-Wei Hsu & Tsai-Chi Kuo & Guey-Shin Shyu & Pi-Shen Chen, 2014. "Low Carbon Supplier Selection in the Hotel Industry," Sustainability, MDPI, vol. 6(5), pages 1-27, May.
    9. Lootsma, F. A., 1980. "Saaty's priority theory and the nomination of a senior professor in operations Research," European Journal of Operational Research, Elsevier, vol. 4(6), pages 380-388, June.
    10. 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.
    11. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, Elsevier, vol. 189(1), pages 1-18, August.
    12. Belton, Valerie, 1986. "A comparison of the analytic hierarchy process and a simple multi-attribute value function," European Journal of Operational Research, Elsevier, vol. 26(1), pages 7-21, July.
    13. Shimshak, Daniel G. & Lenard, Melanie L. & Klimberg, Ronald K., 2009. "Incorporating quality into data envelopment analysis of nursing home performance: A case study," Omega, Elsevier, vol. 37(3), pages 672-685, June.
    14. Belton, Valerie & Gear, Tony, 1983. "On a short-coming of Saaty's method of analytic hierarchies," Omega, Elsevier, vol. 11(3), pages 228-230.
    15. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, September.
    16. 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.
    17. Ramanathan, R. & Ganesh, L. S., 1994. "Group preference aggregation methods employed in AHP: An evaluation and an intrinsic process for deriving members' weightages," European Journal of Operational Research, Elsevier, vol. 79(2), pages 249-265, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Surendra Kansara & Sachin Modgil & Rupesh Kumar, 2023. "Structural transformation of fuzzy analytical hierarchy process: a relevant case for Covid-19," Operations Management Research, Springer, vol. 16(1), pages 450-465, March.
    2. Jokar, Ebrahim & Aminnejad, Babak & Lork, Alireza, 2021. "Assessing and Prioritizing Risks in Public-Private Partnership (PPP) Projects Using the Integration of Fuzzy Multi-Criteria Decision-Making Methods," Operations Research Perspectives, Elsevier, vol. 8(C).
    3. 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.
    4. Matheus Pereira Libório & Lívia Maria Leite Silva & Petr Iakovlevitch Ekel & Letícia Ribeiro Figueiredo & Patrícia Bernardes, 2022. "Consensus-Based Sub-Indicator Weighting Approach: Constructing Composite Indicators Compatible with Expert Opinion," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(3), pages 1073-1099, December.
    5. Francesco Ciardiello & Andrea Genovese, 2023. "A comparison between TOPSIS and SAW methods," Annals of Operations Research, Springer, vol. 325(2), pages 967-994, June.
    6. Daniela BORISSOVA & Dilian KORSEMOV & Ivan MUSTAKEROV, 2018. "Multi-Attribute Group Decision Making Considering Difference In Experts Knowledge: An Excel Application," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 12(1), pages 387-395, November.
    7. Taho Yang & Shin-Yi Lin & Yu-Hsiu Hung & Chung-Chien Hong, 2022. "A Study on the Optimization of In-Process Inspection Procedure for Active Pharmaceutical Ingredients Manufacturing Process," Sustainability, MDPI, vol. 14(6), pages 1-20, March.
    8. Soheil Azizi & Milad Mohammadi, 2023. "Strategy selection for multi-objective redundancy allocation problem in a k-out-of-n system considering the mean time to failure," OPSEARCH, Springer;Operational Research Society of India, vol. 60(2), pages 1021-1044, June.
    9. Shuo Gao & Ming Kim Lim & Renlu Qiao & Chensi Shen & Chentao Li & Li Xia, 2022. "Identifying critical failure factors of green supply chain management in China’s SMEs with a hierarchical cause–effect model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(4), pages 5641-5666, April.
    10. Raut, Rakesh D. & Gardas, Bhaskar B. & Narwane, Vaibhav S. & Narkhede, Balkrishna E., 2019. "Improvement in the food losses in fruits and vegetable supply chain - a perspective of cold third-party logistics approach," Operations Research Perspectives, Elsevier, vol. 6(C).

    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. Hsu-Shih Shih, 2016. "A Mixed-Data Evaluation in Group TOPSIS with Differentiated Decision Power," Group Decision and Negotiation, Springer, vol. 25(3), pages 537-565, May.
    2. 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.
    3. Ventura, José A. & Bunn, Kevin A. & Venegas, Bárbara B. & Duan, Lisha, 2021. "A coordination mechanism for supplier selection and order quantity allocation with price-sensitive demand and finite production rates," International Journal of Production Economics, Elsevier, vol. 233(C).
    4. Ali Salmasnia & Hamid Daliri & Ali Ghorbanian & Hadi Mokhtari, 2018. "A statistical analysis and simulation based approach to an uncertain supplier selection problem with discount option," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(6), pages 1250-1259, December.
    5. Dyckhoff, Harald & Souren, Rainer, 2022. "Integrating multiple criteria decision analysis and production theory for performance evaluation: Framework and review," European Journal of Operational Research, Elsevier, vol. 297(3), pages 795-816.
    6. Imre Dobos & Gyöngyi Vörösmarty, 2019. "Evaluating green suppliers: improving supplier performance with DEA in the presence of incomplete data," 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. 27(2), pages 483-495, June.
    7. Ana Paula Lopes & Nuria Rodriguez-Lopez, 2021. "A Decision Support Tool for Supplier Evaluation and Selection," Sustainability, MDPI, vol. 13(22), pages 1-17, November.
    8. Theißen, Sebastian & Spinler, Stefan, 2014. "Strategic analysis of manufacturer-supplier partnerships: An ANP model for collaborative CO2 reduction management," European Journal of Operational Research, Elsevier, vol. 233(2), pages 383-397.
    9. Visani, Franco & Barbieri, Paolo & Di Lascio, F. Marta L. & Raffoni, Anna & Vigo, Daniele, 2016. "Supplier’s total cost of ownership evaluation: a data envelopment analysis approach," Omega, Elsevier, vol. 61(C), pages 141-154.
    10. de Almeida, Jonatas Araujo & Costa, Ana Paula Cabral Seixas & de Almeida-Filho, Adiel Teixeira, 2016. "A new method for elicitation of criteria weights in additive models: Flexible and interactive tradeoffAuthor-Name: de Almeida, Adiel Teixeira," European Journal of Operational Research, Elsevier, vol. 250(1), pages 179-191.
    11. Barak, Sasan & Javanmard, Shima, 2020. "Outsourcing modelling using a novel interval-valued fuzzy quantitative strategic planning matrix (QSPM) and multiple criteria decision-making (MCDMs)," International Journal of Production Economics, Elsevier, vol. 222(C).
    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. Kellner, Florian & Lienland, Bernhard & Utz, Sebastian, 2019. "An a posteriori decision support methodology for solving the multi-criteria supplier selection problem," European Journal of Operational Research, Elsevier, vol. 272(2), pages 505-522.
    14. Visani, Franco & Boccali, Filippo, 2020. "Purchasing price assessment of leverage items: A Data Envelopment Analysis approach," International Journal of Production Economics, Elsevier, vol. 223(C).
    15. Hao Xu & Liuxin Chen & Qiongfang Li & Jianchao Yang, 2021. "A Multi-Attribute Decision Method under Uncertainty Environment Conditions—The Green Supplier Evaluation Perspective," IJERPH, MDPI, vol. 18(1), pages 1-15, January.
    16. Abid Haleem & Shahbaz Khan & Sunil Luthra & Harshit Varshney & Musaib Alam & Mohd Imran Khan, 2021. "Supplier evaluation in the context of circular economy: A forward step for resilient business and environment concern," Business Strategy and the Environment, Wiley Blackwell, vol. 30(4), pages 2119-2146, May.
    17. Galo, Nadya Regina & Calache, Lucas Daniel Del Rosso & Carpinetti, Luiz Cesar Ribeiro, 2018. "A group decision approach for supplier categorization based on hesitant fuzzy and ELECTRE TRI," International Journal of Production Economics, Elsevier, vol. 202(C), pages 182-196.
    18. Adel Hatami-Marbini & Siavash Hekmat & Per J. Agrell, 2022. "A strategy-based framework for supplier selection: a grey PCA-DEA approach," Operational Research, Springer, vol. 22(1), pages 263-297, March.
    19. Glock, Christoph H. & Grosse, Eric H. & Ries, Jörg M., 2017. "Reprint of “Decision support models for supplier development: Systematic literature review and research agenda”," International Journal of Production Economics, Elsevier, vol. 194(C), pages 246-260.
    20. 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.

    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:eee:oprepe:v:5:y:2018:i:c:p:69-79. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/operations-research-perspectives .

    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.