145 related articles for article (PubMed ID: 36129658)
1. Leagile and sustainable supplier selection problem in the Industry 4.0 era: a case study of the medical devices using hybrid multi-criteria decision making tool.
ForouzeshNejad AA
Environ Sci Pollut Res Int; 2023 Jan; 30(5):13418-13437. PubMed ID: 36129658
[TBL] [Abstract][Full Text] [Related]
2. The green-agile supplier selection problem for the medical devices: a hybrid fuzzy decision-making approach.
Alamroshan F; La'li M; Yahyaei M
Environ Sci Pollut Res Int; 2022 Jan; 29(5):6793-6811. PubMed ID: 34462856
[TBL] [Abstract][Full Text] [Related]
3. A goal programming-based fuzzy best-worst method for the viable supplier selection problem: a case study.
Rostami O; Tavakoli M; Tajally A; GhanavatiNejad M
Soft comput; 2023; 27(6):2827-2852. PubMed ID: 36373094
[TBL] [Abstract][Full Text] [Related]
4. A hyper-hybrid fuzzy decision-making framework for the sustainable-resilient supplier selection problem: a case study of Malaysian Palm oil industry.
Fallahpour A; Nayeri S; Sheikhalishahi M; Wong KY; Tian G; Fathollahi-Fard AM
Environ Sci Pollut Res Int; 2021 Jan; ():1-21. PubMed ID: 33506420
[TBL] [Abstract][Full Text] [Related]
5. An extended hybrid fuzzy multi-criteria decision model for sustainable and resilient supplier selection.
Afrasiabi A; Tavana M; Di Caprio D
Environ Sci Pollut Res Int; 2022 May; 29(25):37291-37314. PubMed ID: 35050472
[TBL] [Abstract][Full Text] [Related]
6. An integrated multi-criteria decision-making approach to optimize the number of leagile-sustainable suppliers in supply chains.
Darvazeh SS; Mooseloo FM; Vandchali HR; Tomaskova H; Tirkolaee EB
Environ Sci Pollut Res Int; 2022 Sep; 29(44):66979-67001. PubMed ID: 35513621
[TBL] [Abstract][Full Text] [Related]
7. Green supplier selection for textile industry: a case study using BWM-TODIM integration under interval type-2 fuzzy sets.
Celik E; Yucesan M; Gul M
Environ Sci Pollut Res Int; 2021 Dec; 28(45):64793-64817. PubMed ID: 34313933
[TBL] [Abstract][Full Text] [Related]
8. Barriers to the sustainable adoption of autonomous vehicles in developing countries: A multi-criteria decision-making approach.
Shahedi A; Dadashpour I; Rezaei M
Heliyon; 2023 May; 9(5):e15975. PubMed ID: 37229167
[TBL] [Abstract][Full Text] [Related]
9. A model for green-resilient supplier selection: fuzzy best-worst multi-criteria decision-making method and its applications.
Hailiang Z; Khokhar M; Islam T; Sharma A
Environ Sci Pollut Res Int; 2023 Apr; 30(18):54035-54058. PubMed ID: 36869951
[TBL] [Abstract][Full Text] [Related]
10. Assessing the critical success factors for implementing industry 4.0 in the pharmaceutical industry: Implications for supply chain sustainability in emerging economies.
Debnath B; Shakur MS; Bari ABMM; Saha J; Porna WA; Mishu MJ; Islam ARMT; Rahman MA
PLoS One; 2023; 18(6):e0287149. PubMed ID: 37319165
[TBL] [Abstract][Full Text] [Related]
11. An integrated approach for a sustainable supplier selection based on Industry 4.0 concept.
Fallahpour A; Wong KY; Rajoo S; Fathollahi-Fard AM; Antucheviciene J; Nayeri S
Environ Sci Pollut Res Int; 2021 Nov; ():. PubMed ID: 34792774
[TBL] [Abstract][Full Text] [Related]
12. Designing a dairy supply chain network considering sustainability and resilience: a multistage decision-making framework.
Zarei-Kordshouli F; Paydar MM; Nayeri S
Clean Technol Environ Policy; 2023 May; ():1-25. PubMed ID: 37359165
[TBL] [Abstract][Full Text] [Related]
13. A Markovian-based fuzzy decision-making approach for the customer-based sustainable-resilient supplier selection problem.
Tavakoli M; Tajally A; Ghanavati-Nejad M; Jolai F
Soft comput; 2023 May; ():1-32. PubMed ID: 37362282
[TBL] [Abstract][Full Text] [Related]
14. Supplier selection in the industry 4.0 era by using a fuzzy cognitive map and hesitant fuzzy linguistic VIKOR methodology.
Hosseini Dolatabad A; Heidary Dahooie J; Antucheviciene J; Azari M; Razavi Hajiagha SH
Environ Sci Pollut Res Int; 2023 Apr; 30(18):52923-52942. PubMed ID: 36843168
[TBL] [Abstract][Full Text] [Related]
15. A heuristic-based hybrid algorithm to configure a sustainable supply chain network for medical devices considering information-sharing systems.
Taheri F; Moghaddam BF
Environ Sci Pollut Res Int; 2022 Dec; 29(60):91105-91126. PubMed ID: 35882735
[TBL] [Abstract][Full Text] [Related]
16. Sustainable supplier selection using HF-DEA-FOCUM-MABAC technique: a case study in the Auto-making industry.
Mishra AR; Saha A; Rani P; Pamucar D; Dutta D; Hezam IM
Soft comput; 2022; 26(17):8821-8840. PubMed ID: 35677555
[TBL] [Abstract][Full Text] [Related]
17. Clustering sustainable suppliers in the plastics industry: A fuzzy equivalence relation approach.
Kiani Mavi R; Zarbakhshnia N; Kiani Mavi N; Kazemi S
J Environ Manage; 2023 Nov; 345():118811. PubMed ID: 37659368
[TBL] [Abstract][Full Text] [Related]
18. Supplier Selection of Medical Consumption Products with a Probabilistic Linguistic MABAC Method.
Wei G; Wei C; Wu J; Wang H
Int J Environ Res Public Health; 2019 Dec; 16(24):. PubMed ID: 31842445
[TBL] [Abstract][Full Text] [Related]
19. Supplier selection in healthcare supply chain management during the COVID-19 pandemic: a novel fuzzy rough decision-making approach.
Pamucar D; Torkayesh AE; Biswas S
Ann Oper Res; 2022 Jan; ():1-43. PubMed ID: 35039705
[TBL] [Abstract][Full Text] [Related]
20. A supplier selection model in pharmaceutical supply chain using PCA, Z-TOPSIS and MILP: A case study.
Forghani A; Sadjadi SJ; Farhang Moghadam B
PLoS One; 2018; 13(8):e0201604. PubMed ID: 30110349
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]