A Markovian-based fuzzy decision-making approach for the customer-based sustainable-resilient supplier selection problem

The supplier selection problem is one of the most important issues in supply chain management. So, many papers have investigated the mentioned problem. However, the related literature shows that researchers had less attention to the sustainability and resilience aspects based on the customer prefere...

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Published in:	Soft computing (Berlin, Germany) Vol. 27; no. 20; pp. 15153 - 15184
Main Authors:	Tavakoli, Mahdieh, Tajally, Amirreza, Ghanavati-Nejad, Mohssen, Jolai, Fariborz
Format:	Journal Article
Language:	English
Published:	Germany Springer Nature B.V 01.10.2023 Springer Berlin Heidelberg
Subjects:	Availability Component and supplier management Criteria Customers Decision making Mathematical analysis Matrices (mathematics) Pandemics Quality function deployment Resilience Soft Computing in Decision Making and in Modeling in Economics Suppliers Supply chain management Supply chains Customer preferences Supplier selection FBWM Markovian-based decision-making Sustainability Resilience
ISSN:	1432-7643, 1433-7479
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Abstract	The supplier selection problem is one of the most important issues in supply chain management. So, many papers have investigated the mentioned problem. However, the related literature shows that researchers had less attention to the sustainability and resilience aspects based on the customer preferences in supplier selection problem. To cover this gap, this research tries to investigate the customer-based sustainable-resilient supplier selection problem. In this way, a Markovian-based fuzzy decision-making method is proposed. At the outset, the customer preferences are evaluated using a combination of the quality function deployment and the Markov transition matrix. Then, by combining the transition matrix and the fuzzy best-worst method, the weights of the indicators are calculated. Finally, the decision matrix is formed and the performance of suppliers is measured based on the multiplication of the decision matrix and vector of sub-criteria weights. Regarding the recent pandemic disruption (COVID-19), the importance of online marketplaces is highlighted more than the past. Hence, this study considers an online marketplace as a case study. Results show that in a pandemic situation, the preferences of customers when they cannot go shopping normally will change after a while. Based on the Markov steady state, these changes are from the priority of price, availability, and performance in initial time to serviceability, reliability, and availability in the future. Finally, based on the FBWM results, from the customer point of view, the top five sub-criteria for sustainable-resilient supplier selection include cost, quality, delivery, responsiveness, and service. So, based on these priorities, the case study potential suppliers are prioritized, respectively.
AbstractList	The supplier selection problem is one of the most important issues in supply chain management. So, many papers have investigated the mentioned problem. However, the related literature shows that researchers had less attention to the sustainability and resilience aspects based on the customer preferences in supplier selection problem. To cover this gap, this research tries to investigate the customer-based sustainable-resilient supplier selection problem. In this way, a Markovian-based fuzzy decision-making method is proposed. At the outset, the customer preferences are evaluated using a combination of the quality function deployment and the Markov transition matrix. Then, by combining the transition matrix and the fuzzy best-worst method, the weights of the indicators are calculated. Finally, the decision matrix is formed and the performance of suppliers is measured based on the multiplication of the decision matrix and vector of sub-criteria weights. Regarding the recent pandemic disruption (COVID-19), the importance of online marketplaces is highlighted more than the past. Hence, this study considers an online marketplace as a case study. Results show that in a pandemic situation, the preferences of customers when they cannot go shopping normally will change after a while. Based on the Markov steady state, these changes are from the priority of price, availability, and performance in initial time to serviceability, reliability, and availability in the future. Finally, based on the FBWM results, from the customer point of view, the top five sub-criteria for sustainable-resilient supplier selection include cost, quality, delivery, responsiveness, and service. So, based on these priorities, the case study potential suppliers are prioritized, respectively. The supplier selection problem is one of the most important issues in supply chain management. So, many papers have investigated the mentioned problem. However, the related literature shows that researchers had less attention to the sustainability and resilience aspects based on the customer preferences in supplier selection problem. To cover this gap, this research tries to investigate the customer-based sustainable-resilient supplier selection problem. In this way, a Markovian-based fuzzy decision-making method is proposed. At the outset, the customer preferences are evaluated using a combination of the quality function deployment and the Markov transition matrix. Then, by combining the transition matrix and the fuzzy best-worst method, the weights of the indicators are calculated. Finally, the decision matrix is formed and the performance of suppliers is measured based on the multiplication of the decision matrix and vector of sub-criteria weights. Regarding the recent pandemic disruption (COVID-19), the importance of online marketplaces is highlighted more than the past. Hence, this study considers an online marketplace as a case study. Results show that in a pandemic situation, the preferences of customers when they cannot go shopping normally will change after a while. Based on the Markov steady state, these changes are from the priority of price, availability, and performance in initial time to serviceability, reliability, and availability in the future. Finally, based on the FBWM results, from the customer point of view, the top five sub-criteria for sustainable-resilient supplier selection include cost, quality, delivery, responsiveness, and service. So, based on these priorities, the case study potential suppliers are prioritized, respectively.The supplier selection problem is one of the most important issues in supply chain management. So, many papers have investigated the mentioned problem. However, the related literature shows that researchers had less attention to the sustainability and resilience aspects based on the customer preferences in supplier selection problem. To cover this gap, this research tries to investigate the customer-based sustainable-resilient supplier selection problem. In this way, a Markovian-based fuzzy decision-making method is proposed. At the outset, the customer preferences are evaluated using a combination of the quality function deployment and the Markov transition matrix. Then, by combining the transition matrix and the fuzzy best-worst method, the weights of the indicators are calculated. Finally, the decision matrix is formed and the performance of suppliers is measured based on the multiplication of the decision matrix and vector of sub-criteria weights. Regarding the recent pandemic disruption (COVID-19), the importance of online marketplaces is highlighted more than the past. Hence, this study considers an online marketplace as a case study. Results show that in a pandemic situation, the preferences of customers when they cannot go shopping normally will change after a while. Based on the Markov steady state, these changes are from the priority of price, availability, and performance in initial time to serviceability, reliability, and availability in the future. Finally, based on the FBWM results, from the customer point of view, the top five sub-criteria for sustainable-resilient supplier selection include cost, quality, delivery, responsiveness, and service. So, based on these priorities, the case study potential suppliers are prioritized, respectively.
Author	Ghanavati-Nejad, Mohssen Tavakoli, Mahdieh Tajally, Amirreza Jolai, Fariborz
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Cites_doi	10.1016/j.energy.2017.07.136 10.1016/j.jclepro.2016.09.078 10.3390/su9122329 10.1016/j.jocs.2019.101074 10.1016/j.knosys.2018.06.010 10.1080/19397038.2020.1737751 10.1016/j.eswa.2019.07.016 10.24200/sci.2023.57127.5077 10.1108/IJQRM-11-2016-0205 10.1007/s11517-022-02525-z 10.1016/j.cie.2020.106267 10.3390/asi5010008 10.1016/j.knosys.2017.01.010 10.1007/978-3-030-62412-5_41 10.1007/s11356-021-12491-y 10.1016/j.cie.2019.106231 10.1080/13675567.2016.1219702 10.1016/j.cie.2018.09.031 10.1016/j.ijpe.2018.11.018 10.1016/j.jclepro.2018.10.007 10.1016/j.jclepro.2017.11.012 10.1016/j.renene.2016.03.078 10.1016/j.cie.2018.12.007 10.1016/j.jclepro.2019.119517 10.1016/j.cie.2017.01.005 10.24200/sci.2022.57493.5266 10.1007/s00500-022-07572-0 10.1016/j.jclepro.2019.119275 10.3390/ijerph18157885 10.1016/j.cie.2020.107005 10.1016/j.cie.2018.02.041 10.1016/j.cie.2022.107935 10.1002/bse.2623 10.1016/j.compind.2010.10.009 10.1080/00207543.2014.935827 10.1016/j.cor.2016.11.005 10.1155/2019/2456260 10.5220/0006619902090216 10.1108/TQM-12-2021-0372 10.1177/03128962211066953 10.1155/2022/6621236 10.1002/int.22305 10.21203/rs.3.rs-2468222/v1 10.1016/j.cie.2021.107811 10.1016/j.jclepro.2021.127691 10.1016/j.jclepro.2021.130287 10.1007/s11356-021-17851-2 10.1080/23789689.2023.2165782 10.3390/axioms11020057 10.1016/S0019-9958(65)90241-X 10.1002/j.2158-1592.2010.tb00140.x 10.1007/s00521-021-06074-8 10.1016/j.cie.2021.107406 10.1016/j.jclepro.2021.129830 10.1108/K-11-2020-0818 10.1016/j.ins.2020.05.065 10.1016/j.asoc.2019.106004 10.1108/IJOEM-09-2021-1393 10.1016/j.cie.2009.10.006 10.1016/j.seps.2022.101302 10.1016/j.jclepro.2017.04.175 10.3390/su14042423 10.1016/j.jclepro.2021.128998 10.1016/j.ejor.2017.06.006 10.3390/su10114202 10.1007/s13369-019-03891-x 10.1016/j.jretconser.2021.102867 10.1016/j.cie.2019.01.011 10.1016/j.ins.2023.01.070 10.1016/j.future.2018.06.024 10.1007/s11356-015-5323-8 10.1016/j.cie.2019.05.004 10.3390/sym12071109 10.1007/s00500-019-04254-2 10.1016/j.jclepro.2016.06.125 10.1007/s00500-022-07591-x 10.1108/TQM-07-2020-0160
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References	J Rezaei (8380_CR57) 2016; 135 D Pramanik (8380_CR56) 2017; 12 A Afrasiabi (8380_CR2) 2022; 29 S Hendiani (8380_CR36) 2020; 536 M Waqas (8380_CR80) 2021; 323 K Bhattacharya (8380_CR8) 2021; 152 8380_CR69 SH Chen (8380_CR12) 2010; 58 H Fazlollahtabar (8380_CR28) 2022; 51 M Tavakoli (8380_CR68) 2022; 60 M Sharma (8380_CR63) 2023; 35 Z Mamashli (8380_CR48) 2021; 33 AH Azadnia (8380_CR7) 2015; 53 TN Van (8380_CR77) 2022; 11 H Moheb-Alizadeh (8380_CR51) 2019; 129 S Hamdan (8380_CR34) 2017; 81 MM Khan (8380_CR43) 2023 E Dogan (8380_CR21) 2017; 138 A Fallahpour (8380_CR25) 2017; 105 8380_CR50 S Nayeri (8380_CR53) 2021; 311 M Tavana (8380_CR71) 2017; 20 GA Zsidisin (8380_CR87) 2010; 31 R Davoudabadi (8380_CR17) 2019; 44 8380_CR59 F Nawaz (8380_CR52) 2018; 159 SV Parkouhi (8380_CR55) 2019; 207 Y Xing (8380_CR81) 2022; 165 EB Tirkolaee (8380_CR72) 2020; 250 R Jia (8380_CR41) 2020; 140 A Mahmoudi (8380_CR46) 2020 Y Shao (8380_CR62) 2023; 48 R Alikhani (8380_CR3) 2019; 208 LA Zadeh (8380_CR84) 1965; 8 L You (8380_CR82) 2017; 26 N Jain (8380_CR39) 2020; 248 N Chai (8380_CR10) 2023; 626 J Erjavec (8380_CR24) 2022; 65 WY Leong (8380_CR44) 2022; 5 8380_CR47 SV Parkouhi (8380_CR54) 2017; 161 R Sathyan (8380_CR60) 2023; 27 S Luthra (8380_CR45) 2017; 140 N Van Thanh (8380_CR76) 2022 8380_CR85 M Waqas (8380_CR79) 2018; 10 8380_CR86 MR Asadabadi (8380_CR6) 2017; 263 SK De (8380_CR19) 2020; 24 X Mi (8380_CR49) 2019; 133 W Chia-Nan (8380_CR15) 2022; 70 M Abdel-Basset (8380_CR1) 2018; 89 S Ullah (8380_CR74) 2021; 18 N Waleekhajornlert (8380_CR78) 2020; 4 A Cheraghalipour (8380_CR14) 2018; 118 P Sureeyatanapas (8380_CR66) 2020; 12 8380_CR70 SS Coşkun (8380_CR16) 2022 Z Sazvar (8380_CR61) 2021; 159 R Davoudabadi (8380_CR18) 2020; 40 K Gotzamani (8380_CR31) 2018; 35 E Dogan (8380_CR22) 2016; 94 F Vahidi (8380_CR75) 2018; 174 E Dogan (8380_CR23) 2016; 23 A Fallahpour (8380_CR26) 2018; 11 O Rostami (8380_CR58) 2023; 27 8380_CR30 MM Hasan (8380_CR35) 2020; 139 V Silaparasetti (8380_CR64) 2017; 5 ZS Hosseini (8380_CR37) 2022; 165 N Jain (8380_CR40) 2020; 13 A Amindoust (8380_CR4) 2018; 126 G Büyüközkan (8380_CR9) 2011; 62 Ž Stević (8380_CR65) 2020; 140 K-H Chang (8380_CR11) 2022 Y-J Tao (8380_CR67) 2022; 14 Z Chen (8380_CR13) 2020; 87 P You (8380_CR83) 2017; 9 A Haldar (8380_CR33) 2014; 9 SK De (8380_CR20) 2021; 36 A Fallahpour (8380_CR27) 2021 S Aria (8380_CR5) 2020; 54 LZ Tong (8380_CR73) 2022; 330 S Hu (8380_CR38) 2022; 82 J Gan (8380_CR29) 2019 S Guo (8380_CR32) 2017; 121 H Kaur (8380_CR42) 2020; 139
References_xml	– volume: 138 start-page: 721 year: 2017 ident: 8380_CR21 publication-title: Energy doi: 10.1016/j.energy.2017.07.136 – volume: 140 start-page: 1686 year: 2017 ident: 8380_CR45 publication-title: J Clean Prod doi: 10.1016/j.jclepro.2016.09.078 – volume: 9 start-page: 2329 year: 2017 ident: 8380_CR83 publication-title: Sustainability doi: 10.3390/su9122329 – volume: 40 start-page: 101074 year: 2020 ident: 8380_CR18 publication-title: J Comput Sci doi: 10.1016/j.jocs.2019.101074 – volume: 159 start-page: 120 year: 2018 ident: 8380_CR52 publication-title: Knowl Based Syst doi: 10.1016/j.knosys.2018.06.010 – volume: 13 start-page: 441 year: 2020 ident: 8380_CR40 publication-title: Int J Sustain Eng doi: 10.1080/19397038.2020.1737751 – volume: 139 start-page: 112799 year: 2020 ident: 8380_CR35 publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2019.07.016 – ident: 8380_CR70 doi: 10.24200/sci.2023.57127.5077 – volume: 35 start-page: 762 year: 2018 ident: 8380_CR31 publication-title: Int J Qual Reliab Manag doi: 10.1108/IJQRM-11-2016-0205 – volume: 5 start-page: 2395 issue: 2 year: 2017 ident: 8380_CR64 publication-title: Human Soc Sci Rev – volume: 60 start-page: 969 year: 2022 ident: 8380_CR68 publication-title: Med Biol Eng Comput doi: 10.1007/s11517-022-02525-z – volume: 140 start-page: 106267 year: 2020 ident: 8380_CR41 publication-title: Comput Ind Eng doi: 10.1016/j.cie.2020.106267 – volume: 5 start-page: 8 year: 2022 ident: 8380_CR44 publication-title: Appl Syst Innov doi: 10.3390/asi5010008 – volume: 121 start-page: 23 year: 2017 ident: 8380_CR32 publication-title: Knowl-Based Syst doi: 10.1016/j.knosys.2017.01.010 – ident: 8380_CR85 doi: 10.1007/978-3-030-62412-5_41 – year: 2021 ident: 8380_CR27 publication-title: Environ Sci Pollut Res doi: 10.1007/s11356-021-12491-y – volume: 140 start-page: 106231 year: 2020 ident: 8380_CR65 publication-title: Comput Ind Eng doi: 10.1016/j.cie.2019.106231 – volume: 20 start-page: 254 year: 2017 ident: 8380_CR71 publication-title: Int J Logist Res Appl doi: 10.1080/13675567.2016.1219702 – volume: 126 start-page: 122 year: 2018 ident: 8380_CR4 publication-title: Comput Ind Eng doi: 10.1016/j.cie.2018.09.031 – volume: 208 start-page: 69 year: 2019 ident: 8380_CR3 publication-title: Int J Prod Econ doi: 10.1016/j.ijpe.2018.11.018 – volume: 54 start-page: 99 year: 2020 ident: 8380_CR5 publication-title: Adv Ind Eng – volume: 207 start-page: 1123 year: 2019 ident: 8380_CR55 publication-title: J Clean Prod doi: 10.1016/j.jclepro.2018.10.007 – volume: 174 start-page: 1351 year: 2018 ident: 8380_CR75 publication-title: J Clean Prod doi: 10.1016/j.jclepro.2017.11.012 – volume: 94 start-page: 429 year: 2016 ident: 8380_CR22 publication-title: Renew Energy doi: 10.1016/j.renene.2016.03.078 – volume: 139 start-page: 105560 year: 2020 ident: 8380_CR42 publication-title: Comput Ind Eng doi: 10.1016/j.cie.2018.12.007 – volume: 250 start-page: 119517 year: 2020 ident: 8380_CR72 publication-title: J Clean Prod doi: 10.1016/j.jclepro.2019.119517 – volume: 105 start-page: 391 year: 2017 ident: 8380_CR25 publication-title: Comput Ind Eng doi: 10.1016/j.cie.2017.01.005 – volume: 70 start-page: 3005 issue: 2 year: 2022 ident: 8380_CR15 publication-title: Comput Mater Contin – ident: 8380_CR69 doi: 10.24200/sci.2022.57493.5266 – volume: 27 start-page: 2827 year: 2023 ident: 8380_CR58 publication-title: Soft Comput doi: 10.1007/s00500-022-07572-0 – volume: 248 start-page: 119275 year: 2020 ident: 8380_CR39 publication-title: J Clean Prod doi: 10.1016/j.jclepro.2019.119275 – volume: 18 start-page: 7885 year: 2021 ident: 8380_CR74 publication-title: Int J Environ Res Public Health doi: 10.3390/ijerph18157885 – volume: 152 start-page: 107005 year: 2021 ident: 8380_CR8 publication-title: Comput Ind Eng doi: 10.1016/j.cie.2020.107005 – volume: 118 start-page: 237 year: 2018 ident: 8380_CR14 publication-title: Comput Ind Eng doi: 10.1016/j.cie.2018.02.041 – volume: 165 start-page: 107935 year: 2022 ident: 8380_CR81 publication-title: Comput Ind Eng doi: 10.1016/j.cie.2022.107935 – year: 2020 ident: 8380_CR46 publication-title: Bus Strateg Environ doi: 10.1002/bse.2623 – volume: 62 start-page: 164 year: 2011 ident: 8380_CR9 publication-title: Comput Ind doi: 10.1016/j.compind.2010.10.009 – volume: 53 start-page: 383 year: 2015 ident: 8380_CR7 publication-title: Int J Prod Res doi: 10.1080/00207543.2014.935827 – volume: 81 start-page: 282 year: 2017 ident: 8380_CR34 publication-title: Comput Op Res doi: 10.1016/j.cor.2016.11.005 – year: 2019 ident: 8380_CR29 publication-title: Discret Dyn Nat Soc doi: 10.1155/2019/2456260 – ident: 8380_CR50 doi: 10.5220/0006619902090216 – ident: 8380_CR59 doi: 10.1108/TQM-12-2021-0372 – volume: 48 start-page: 284 issue: 2 year: 2023 ident: 8380_CR62 publication-title: Aust J Manag doi: 10.1177/03128962211066953 – year: 2022 ident: 8380_CR11 publication-title: Math Probl Eng doi: 10.1155/2022/6621236 – volume: 36 start-page: 421 year: 2021 ident: 8380_CR20 publication-title: Int J Intell Syst doi: 10.1002/int.22305 – ident: 8380_CR30 doi: 10.21203/rs.3.rs-2468222/v1 – volume: 165 start-page: 107811 year: 2022 ident: 8380_CR37 publication-title: Comput Ind Eng doi: 10.1016/j.cie.2021.107811 – volume: 311 start-page: 127691 year: 2021 ident: 8380_CR53 publication-title: J Clean Prod doi: 10.1016/j.jclepro.2021.127691 – year: 2022 ident: 8380_CR16 publication-title: J Clean Prod doi: 10.1016/j.jclepro.2021.130287 – volume: 29 start-page: 37291 issue: 25 year: 2022 ident: 8380_CR2 publication-title: Environ Sci Poll Res doi: 10.1007/s11356-021-17851-2 – year: 2023 ident: 8380_CR43 publication-title: Sustain Resilient Infrastruct doi: 10.1080/23789689.2023.2165782 – volume: 11 start-page: 57 year: 2022 ident: 8380_CR77 publication-title: Axioms doi: 10.3390/axioms11020057 – year: 2022 ident: 8380_CR76 publication-title: Axioms doi: 10.3390/axioms11020057 – volume: 8 start-page: 338 year: 1965 ident: 8380_CR84 publication-title: Inf Control doi: 10.1016/S0019-9958(65)90241-X – volume: 31 start-page: 1 year: 2010 ident: 8380_CR87 publication-title: J Bus Logist doi: 10.1002/j.2158-1592.2010.tb00140.x – volume: 33 start-page: 14283 issue: 21 year: 2021 ident: 8380_CR48 publication-title: Neural Comput Appl doi: 10.1007/s00521-021-06074-8 – volume: 159 start-page: 107406 year: 2021 ident: 8380_CR61 publication-title: Comput Ind Eng doi: 10.1016/j.cie.2021.107406 – volume: 330 start-page: 129830 year: 2022 ident: 8380_CR73 publication-title: J Clean Prod doi: 10.1016/j.jclepro.2021.129830 – volume: 51 start-page: 275 issue: 1 year: 2022 ident: 8380_CR28 publication-title: Kybernetes doi: 10.1108/K-11-2020-0818 – volume: 536 start-page: 135 year: 2020 ident: 8380_CR36 publication-title: Inform Sci doi: 10.1016/j.ins.2020.05.065 – volume: 87 start-page: 106004 year: 2020 ident: 8380_CR13 publication-title: Appl Soft Comput doi: 10.1016/j.asoc.2019.106004 – ident: 8380_CR47 doi: 10.1108/IJOEM-09-2021-1393 – volume: 12 start-page: 45 year: 2017 ident: 8380_CR56 publication-title: Int J Manag Sci Eng Manag – volume: 58 start-page: 278 year: 2010 ident: 8380_CR12 publication-title: Comput Ind Eng doi: 10.1016/j.cie.2009.10.006 – volume: 9 start-page: 147 year: 2014 ident: 8380_CR33 publication-title: Int J Manag Sci Eng Manag – volume: 82 start-page: 101302 year: 2022 ident: 8380_CR38 publication-title: Soc Plann Sci doi: 10.1016/j.seps.2022.101302 – volume: 161 start-page: 431 year: 2017 ident: 8380_CR54 publication-title: J Clean Prod doi: 10.1016/j.jclepro.2017.04.175 – ident: 8380_CR86 – volume: 14 start-page: 2423 year: 2022 ident: 8380_CR67 publication-title: Sustainability doi: 10.3390/su14042423 – volume: 4 start-page: 44 issue: 1 year: 2020 ident: 8380_CR78 publication-title: Int Sci J Eng Technol (ISJET) – volume: 323 start-page: 128998 year: 2021 ident: 8380_CR80 publication-title: J Clean Prod doi: 10.1016/j.jclepro.2021.128998 – volume: 263 start-page: 1049 year: 2017 ident: 8380_CR6 publication-title: Eur J Oper Res doi: 10.1016/j.ejor.2017.06.006 – volume: 10 start-page: 4202 year: 2018 ident: 8380_CR79 publication-title: Sustainability doi: 10.3390/su10114202 – volume: 44 start-page: 7351 year: 2019 ident: 8380_CR17 publication-title: Arab J Sci Eng doi: 10.1007/s13369-019-03891-x – volume: 65 start-page: 102867 year: 2022 ident: 8380_CR24 publication-title: J Retail Consum Serv doi: 10.1016/j.jretconser.2021.102867 – volume: 129 start-page: 192 year: 2019 ident: 8380_CR51 publication-title: Comput Ind Eng doi: 10.1016/j.cie.2019.01.011 – volume: 26 start-page: 94 year: 2017 ident: 8380_CR82 publication-title: J Int Technol Inf Manag – volume: 626 start-page: 710 year: 2023 ident: 8380_CR10 publication-title: Inf Sci doi: 10.1016/j.ins.2023.01.070 – volume: 89 start-page: 19 year: 2018 ident: 8380_CR1 publication-title: Futur Gener Comput Syst doi: 10.1016/j.future.2018.06.024 – volume: 23 start-page: 1203 year: 2016 ident: 8380_CR23 publication-title: Environ Sci Pollut Res doi: 10.1007/s11356-015-5323-8 – volume: 11 start-page: 209 year: 2018 ident: 8380_CR26 publication-title: Iran J Manag Stud – volume: 133 start-page: 83 year: 2019 ident: 8380_CR49 publication-title: Comput Ind Eng doi: 10.1016/j.cie.2019.05.004 – volume: 12 start-page: 1109 issue: 7 year: 2020 ident: 8380_CR66 publication-title: Symmetry doi: 10.3390/sym12071109 – volume: 24 start-page: 5053 year: 2020 ident: 8380_CR19 publication-title: Soft Comput doi: 10.1007/s00500-019-04254-2 – volume: 135 start-page: 577 year: 2016 ident: 8380_CR57 publication-title: J Clean Prod doi: 10.1016/j.jclepro.2016.06.125 – volume: 27 start-page: 257 year: 2023 ident: 8380_CR60 publication-title: Soft Comput doi: 10.1007/s00500-022-07591-x – volume: 35 start-page: 102 year: 2023 ident: 8380_CR63 publication-title: TQM J doi: 10.1108/TQM-07-2020-0160
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Snippet	The supplier selection problem is one of the most important issues in supply chain management. So, many papers have investigated the mentioned problem....
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SubjectTerms	Availability Component and supplier management Criteria Customers Decision making Mathematical analysis Matrices (mathematics) Pandemics Quality function deployment Resilience Soft Computing in Decision Making and in Modeling in Economics Suppliers Supply chain management Supply chains
Title	A Markovian-based fuzzy decision-making approach for the customer-based sustainable-resilient supplier selection problem
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