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An integrated multi-criteria decision-making approach to optimize the number of leagile-sustainable suppliers in supply chains

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F22%3A50019163" target="_blank" >RIV/62690094:18450/22:50019163 - isvavai.cz</a>

  • Result on the web

    <a href="https://trebuchet.public.springernature.app/get_content/0aebca6f-93d6-4732-a728-f067842eef73" target="_blank" >https://trebuchet.public.springernature.app/get_content/0aebca6f-93d6-4732-a728-f067842eef73</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s11356-022-20214-0" target="_blank" >10.1007/s11356-022-20214-0</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    An integrated multi-criteria decision-making approach to optimize the number of leagile-sustainable suppliers in supply chains

  • Original language description

    Global supply chains are increasingly becoming complex by having numerous suppliers around the world. To manage this complexity, organizations must identify the optimum number of suppliers. There have been many examples in the literature that used different approaches to solve this problem. Despite the importance of this issue, less attention has been paid to it and managers of the companies do not know how, and based on which approach and criteria, they should determine the optimal number of suppliers which leads to lower cost and higher reliability of the production line. Therefore, in this study, a hybrid methodology is proposed to expose the process of this problem which helps managers to learn how they can determine the optimal number of suppliers. We address this gap by developing an integrated approach based on multi-criteria decision-making (MCDM) comprising best-worst method (BWM), simple additive weighting (SAW), and technique for order preference by similarity to ideal solution (TOPSIS), and simulation to determine the optimal number of suppliers. This study utilizes a comprehensive approach based on leagile and environmentally sustainable criteria to determine the optimal number of suppliers. To examine the efficiency of the proposed approach, an empirical case study is conducted in an Iranian oil company. The final results represent that the scenario with a 1-1-1 arrangement (one supplier for each type of equipment) is the best possible scenario to determine the optimal number of leagile-sustainable suppliers. To examine the reliability and robustness of the obtained results, a sensitivity analysis based on the three most important criteria is conducted. Finally, discussions on the findings as well as theoretical and managerial implications are presented.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10102 - Applied mathematics

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Environmental science and pollution research

  • ISSN

    0944-1344

  • e-ISSN

    1614-7499

  • Volume of the periodical

    29

  • Issue of the periodical within the volume

    44

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    23

  • Pages from-to

    66979-67001

  • UT code for WoS article

    000791111400005

  • EID of the result in the Scopus database

    2-s2.0-85129411131