PMID- 35513621
OWN - NLM
STAT- MEDLINE
DCOM- 20220923
LR  - 20220923
IS  - 1614-7499 (Electronic)
IS  - 0944-1344 (Print)
IS  - 0944-1344 (Linking)
VI  - 29
IP  - 44
DP  - 2022 Sep
TI  - An integrated multi-criteria decision-making approach to optimize the number of 
      leagile-sustainable suppliers in supply chains.
PG  - 66979-67001
LID - 10.1007/s11356-022-20214-0 [doi]
AB  - 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.
CI  - (c) 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, 
      part of Springer Nature.
FAU - Darvazeh, Saeid Sadeghi
AU  - Darvazeh SS
AD  - Department of Industrial Management, Faculty of Management and Accounting, 
      University of Tehran, Jalal Al-Ahmad and Charman intersection - next to Tarbiat 
      Modares University, Tehran, 3718117469, Iran.
FAU - Mooseloo, Farzaneh Mansoori
AU  - Mooseloo FM
AD  - Department of Industrial Management, Faculty of Management, University of 
      Hormozgan, Bandar-Abbas, KM 9 of Minab Road, Bandar-Abbas, 3995, Iran.
FAU - Vandchali, Hadi Rezaei
AU  - Vandchali HR
AD  - Australian Maritime College, University of Tasmania, Churchil Ave, Hobart, 
      Launceston, 7005, Tasmania, Australia.
FAU - Tomaskova, Hana
AU  - Tomaskova H
AUID- ORCID: 0000-0003-1744-5826
AD  - Department of Information Technologies, Faculty of Informatics and Management, 
      University of Hradec Kralove, Rokitanskeho 62, Hradec Kralove, 50003, Czech 
      Republic. hana.tomaskova@uhk.cz.
FAU - Tirkolaee, Erfan Babaee
AU  - Tirkolaee EB
AD  - Department of Industrial Engineering, Istinye University, Istinye university 
      Topkap Kamps, Teyyareci Sami Sk. No.3, Istanbul, 34010, Turkey.
LA  - eng
PT  - Journal Article
DEP - 20220505
PL  - Germany
TA  - Environ Sci Pollut Res Int
JT  - Environmental science and pollution research international
JID - 9441769
SB  - IM
EIN - Environ Sci Pollut Res Int. 2022 Jun 9;:. PMID: 35678972
MH  - Iran
MH  - *Reproducibility of Results
PMC - PMC9070982
OTO - NOTNLM
OT  - BWM
OT  - Leagile-sustainable suppliers
OT  - Optimal number of suppliers
OT  - SAW
OT  - Supply chain management
OT  - TOPSIS
COIS- The authors declare no competing interests.
EDAT- 2022/05/06 06:00
MHDA- 2022/09/24 06:00
PMCR- 2022/05/05
CRDT- 2022/05/05 23:28
PHST- 2021/10/15 00:00 [received]
PHST- 2022/04/08 00:00 [accepted]
PHST- 2022/05/06 06:00 [pubmed]
PHST- 2022/09/24 06:00 [medline]
PHST- 2022/05/05 23:28 [entrez]
PHST- 2022/05/05 00:00 [pmc-release]
AID - 10.1007/s11356-022-20214-0 [pii]
AID - 20214 [pii]
AID - 10.1007/s11356-022-20214-0 [doi]
PST - ppublish
SO  - Environ Sci Pollut Res Int. 2022 Sep;29(44):66979-67001. doi: 
      10.1007/s11356-022-20214-0. Epub 2022 May 5.