Green supplier selection for textile industry: a case study using BWM-TODIM integration under interval type-2 fuzzy sets.

Erkan Celik, Melih Yucesan, Muhammet Gul
Author Information
  1. Erkan Celik: Department of Transportation and Logistics, Istanbul University, 34322, Istanbul, Turkey.
  2. Melih Yucesan: Department of Mechanical Engineering, Munzur University, 62000, Tunceli, Turkey.
  3. Muhammet Gul: Department of Emergency Aid and Disaster Management, Munzur University, 62000, Tunceli, Turkey. muhammetgul@munzur.edu.tr. ORCID

Abstract

Although environmental awareness has reached a high level, enterprises-regardless of their working domains-follow the concept of greenness for their practices. This awareness among the stakeholders and supply chain experts has a positive impact on the purchasing departments of enterprises in various sectors to consider greenness in their procurement processes. The critical decision that must be made in green supply chain management (GSCM) is supplier selection. In the textile industry, a highly competitive market in recent years, suppliers for this industry have crucial roles in business activities considering environmental issues. Therefore, green supplier selection (GSS) in the textile industry is considered a must-be process for the stakeholders. In this study, a GSS problem is tackled as a multi-criteria decision process. Best worst method (BWM) and TODIM (an acronym in Portuguese of interactive and multi-criteria decision-making) methods are merged under an improved fuzzy concept of interval type-2 fuzzy sets (IT2FSs). In determining green suppliers' evaluation criteria, BWM with interval type-2 fuzzy numbers (IT2F-BWM) is used. In selecting green suppliers, an interval type-2 fuzzy TODIM (IT2F-TODIM) is applied. Considering the characteristics of IT2FSs, BWM, and TODIM methods either individually and in integrated style, the proposed approach can handle uncertainty in the decision-making of GSS. To demonstrate the applicability of the approach, a case study in the Turkish textile industry is performed. Three green supplier alternatives (S1, S2, and S3) are assessed under forty-two sub-criteria. The study shows the most significant sub-criteria are recognized as dye and print quality, product design and pattern suitability, profit on the product, variation in price, and purchase cost. S2 green supplier has been selected as the most appropriate one. A sensitivity analysis is also fulfilled to check variation in the ranking of green suppliers.

Keywords

References

Abdullah L, Chan W, Afshari A (2019) Application of PROMETHEE method for green supplier selection: a comparative result based on preference functions. J Ind Eng Int 15(2):271–285
Aboutorab H, Saberi M, Asadabadi MR, Hussain O, Chang E (2018) ZBWM: The Z-number extension of best worst method and its application for supplier development. Expert Syst Appl 107:115–125
Adalı EA (2016) Personnel selection in health sector with EVAMIX and TODIM methods. Alp J 4(2):69–84
Akcan S, Taş MA (2020) Green supplier evaluation with SWARA-TOPSIS integrated method to reduce ecological risk factors. Environ Monit Assess 191(12):736
Akman G, Pışkın H (2013) Evaluating green performance of suppliers via analytic network process and TOPSIS. J Ind Eng 2013:1–13
Alali F, Tolga AC (2019) Portfolio allocation with the TODIM method. Expert Syst Appl 124:341–348
Amindoust A, Saghafinia A (2017) Textile supplier selection in sustainable supply chain using a modular fuzzy inference system model. J Textile Inst 108(7):1250–1258
Amindoust A, Ahmed S, Saghafinia A, Bahreininejad A (2012) Sustainable supplier selection: a ranking model based on fuzzy inference system. Appl Soft Comput 12(6):1668–1677
Andjelkovic A, Radosavljevic M (2019) Sustainability of supply chains-case study of textile industry in the Republic of Serbia. Int J Procure Manag 12(2):156–173
Awasthi A, Kannan G (2016) Green supplier development program selection using NGT and VIKOR under fuzzy environment. Comput Ind Eng 91:100–108
Ayyildiz E, Gumus AT (2020) A novel spherical fuzzy AHP-integrated spherical WASPAS methodology for petrol station location selection problem: a real case study for İstanbul. Environ Sci Pollut Res 27:36109–36120. https://doi.org/10.1007/s11356-020-09640-0 [DOI: 10.1007/s11356-020-09640-0]
Bakeshlou EA, Khamseh AA, Asl MAG, Sadeghi J, Abbaszadeh M (2017) Evaluating a green supplier selection problem using a hybrid MODM algorithm. J Intell Manuf 28(4):913–927
Bakhat R, Rajaa M (2019) Developing a novel Grey integrated multi-criteria approach for enhancing the supplier selection procedure: a real-world case of textile company. Decis Sci Lett 8(3):211–224
Banaeian N, Mobli H, Fahimnia B, Nielsen IE, Omid M (2018) Green supplier selection using fuzzy group decision making methods: a case study from the agri-food industry. Comput Oper Res 89:337–347
Baskaran V, Nachiappan S, Rahman S (2011) Supplier assessment based on corporate social responsibility criteria in Indian automotive and textile industry sectors. Int J Sustain Eng 4(4):359–369
Baskaran V, Nachiappan S, Rahman S (2012) Indian textile suppliers’ sustainability evaluation using the grey approach. Int J Prod Econ 135(2):647–658
Büyüközkan G (2012) An integrated fuzzy multi-criteria group decision-making approach for green supplier evaluation. Int J Prod Res 50(11):2892–2909
Büyüközkan G, Çifçi G (2012) A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers. Expert Syst Appl 39(3):3000–3011
Çalık A (2021) A novel Pythagorean fuzzy AHP and fuzzy TOPSIS methodology for green supplier selection in the Industry 4.0 era. Soft Comput 25:2253–2265
Carr AS, Pearson JN (1999) Strategically managed buyer–supplier relationships and performance outcomes. J Oper Manag 17(5):497–519
Castillo O, Melin P (2012) Type-2 fuzzy logic systems. In: Recent advances in interval type-2 fuzzy systems. Springer, Berlin, Heidelberg, pp 7–12
Celik E, Akyuz E (2016) Application of interval type-2 fuzzy sets DEMATEL methods in maritime transportation: the case of ship collision. Int J Marit Eng 158(A 4):A359–A371
Celik E, Gumus AT (2016) An outranking approach based on interval type-2 fuzzy sets to evaluate preparedness and response ability of non-governmental humanitarian relief organizations. Comput Ind Eng 101:21–34
Celik E, Gumus AT (2018) An assessment approach for non-governmental organizations in humanitarian relief logistics and an application in Turkey. Technol Econ Dev Econ 24(1):1–26
Celik E, Gumus AT, Alegoz M (2014) A trapezoidal type-2 fuzzy MCDM method to identify and evaluate critical success factors for humanitarian relief logistics management. J Intell Fuzzy Syst 27(6):2847–2855
Celik E, Gul M, Aydin N, Gumus AT, Guneri AF (2015) A comprehensive review of multi criteria decision making approaches based on interval type-2 fuzzy sets. Knowl-Based Syst 85:329–341
Celik E, Gul M, Gumus AT, Guneri AF (2017) A review and classification of approaches for dealing with TODIM and its applications. The 5th International Fuzzy Systems Symposium (FUZZYSS’17), 14-15 October 2017, Ankara, Turkey, 47–47
Celik E, Gul M, Yucesan M, Mete S (2019) Stochastic multi-criteria decision-making: an overview to methods and applications. Beni-Suef Univ J Basic Appl Sci 8(1):4
Çetin AC (2006) Türk Tekstil Sektörü ve Türk Tekstil Firmalarinin Etkinlik Düzeylerinin Belirlenmesi. Afyon Kocatepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 8(2):255–278
Chen YJ (2011) Structured methodology for supplier selection and evaluation in a supply chain. Inf Sci 181(9):1651–1670
Chen SM, Lee LW (2010) Fuzzy multiple attributes group decision-making based on the ranking values and the arithmetic operations of interval type-2 fuzzy sets. Expert Syst Appl 37(1):824–833
Chen HMW, Chou SY, Luu QD, Yu THK (2016) A fuzzy MCDM approach for green supplier selection from the economic and environmental aspects. Mathematical Problems in Engineering
Çifçi G, Büyüközkan G (2011) A fuzzy MCDM approach to evaluate green suppliers. Int J Comput Intell Syst 4(5):894–909
Datta S, Samantra C, Mahapatra SS, Banerjee S, Bandyopadhyay A (2012) Green supplier evaluation and selection using VIKOR method embedded in fuzzy expert system with interval-valued fuzzy numbers. Int J Procure Manag 5(5):647–678
Demir L, Akpınar ME, Araz C, Ilgın MA (2018) A green supplier evaluation system based on a new multi-criteria sorting method: VIKORSORT. Expert Syst Appl 114:479–487
Dereli T, Altun K (2013) Technology evaluation through the use of interval type-2 fuzzy sets and systems. Comput Ind Eng 65(4):624–633
Dobos I, Vörösmarty G (2019) Inventory-related costs in green supplier selection problems with data envelopment analysis (DEA). Int J Prod Econ 209:374–380
Duan CY, Liu HC, Zhang LJ, Shi H (2019) An extended alternative queuing method with linguistic Z-numbers and its application for green supplier selection and order allocation. Int J Fuzzy Syst 21(8):2510–2523
Duclos LK, Vokurka RJ, Lummus RR (2003) A conceptual model of supply chain flexibility. Ind Manag Data Syst 103(6):446–456
Ecer F (2020) Multi-criteria decision making for green supplier selection using interval type-2 fuzzy AHP: a case study of a home appliance manufacturer. Oper Res 1–35. https://doi.org/10.1007/s12351-020-00552-y
Eraslan İH, Bakan İ, Helvacıoğlu Kuyucu AD (2008) Türk tekstil ve hazırgiyim sektörünün uluslararası rekabetçilik düzeyinin analizi. Istanbul Ticaret Üniversitesi Sosyal Bilimler Dergisi 7(13):265–300
Ersoy N (2017) Supplier selection by using fuzzy logic: the case of Gaziantep. İktisadi Idari ve Siyasal Araştırmalar Dergisi (iktisad) 2(3):11–29
Fallahpour A, Olugu EU, Musa SN, Khezrimotlagh D, Wong KY (2016) An integrated model for green supplier selection under fuzzy environment: application of data envelopment analysis and genetic programming approach. Neural Comput & Applic 27(3):707–725
Freeman J, Chen T (2015) Green supplier selection using an AHP-Entropy-TOPSIS framework. Supply Chain Manag 20(3):327–340
Gao H, Ju Y, Gonzalez EDS, Zhang W (2020) Green supplier selection in electronics manufacturing: an approach based on consensus decision making. J Clean Prod 245:118781
Genovese A, Lenny Koh SC, Bruno G, Esposito E (2013) Greener supplier selection: state of the art and some empirical evidence. Int J Prod Res 51(10):2868–2886
Ghodsypour SH, O’brien C (2001) The total cost of logistics in supplier selection, under conditions of multiple sourcing, multiple criteria and capacity constraint. Int J Prod Econ 73(1):15–27
Ghorabaee MK, Zavadskas EK, Amiri M, Esmaeili A (2016) Multi-criteria evaluation of green suppliers using an extended WASPAS method with interval type-2 fuzzy sets. J Clean Prod 137:213–229
Ghorabaee MK, Amiri M, Zavadskas EK, Antucheviciene J (2017) Supplier evaluation and selection in fuzzy environments: a review of MADM approaches. Econ Res-Ekonomska istraživanja 30(1):1073–1118
Gomes LFAM, Lima MMPP (1992) TODIM: basics and application to multicriteria ranking of projects with environmental impacts. Found Comput Decis Sci 16(4):113–127
Govindan K, Sivakumar R (2016) Green supplier selection and order allocation in a low-carbon paper industry: integrated multi-criteria heterogeneous decision-making and multi-objective linear programming approaches. Ann Oper Res 238(1-2):243–276
Govindan K, Rajendran S, Sarkis J, Murugesan P (2015) Multi criteria decision making approaches for green supplier evaluation and selection: a literature review. J Clean Prod 98:66–83
Guarnieri P, Trojan F (2019) Decision making on supplier selection based on social, ethical, and environmental criteria: a study in the textile industry. Resour Conserv Recycl 141:347–361
Güneri AF, Ertay T, YüCel A (2011) An approach based on ANFIS input selection and modeling for supplier selection problem. Expert Syst Appl 38(12):14907–14917
Güngör A, Coşkun S, Durur G, Gören HG (2010) A supplier selection, evaluation and re-evaluation model for textile retail organizations. Tekstil ve Konfeksiyon 20(3):181–187
Guo S, Zhao H (2017) Fuzzy best-worst multi-criteria decision-making method and its applications. Knowl-Based Syst 121:23–31
Gupta H, Barua MK (2017) Supplier selection among SMEs on the basis of their green innovation ability using BWM and fuzzy TOPSIS. J Clean Prod 152:242–258
Gupta H, Barua MK (2018) A grey DEMATEL-based approach for modeling enablers of green innovation in manufacturing organizations. Environ Sci Pollut Res 25(10):9556–9578
Gupta S, Soni U, Kumar G (2019) Green supplier selection using multi-criterion decision making under fuzzy environment: a case study in automotive industry. Comput Ind Eng 136:663–680
Gurel O, Acar AZ, Onden I, Gumus I (2015) Determinants of the green supplier selection. Procedia Soc Behav Sci 181:131–139
Haeri SAS, Rezaei J (2019) A grey-based green supplier selection model for uncertain environments. J Clean Prod 221:768–784
Hafezalkotob A, Hafezalkotob A (2017) A novel approach for combination of individual and group decisions based on fuzzy best-worst method. Appl Soft Comput 59:316–325
Hamdan S, Cheaitou A (2017) Supplier selection and order allocation with green criteria: an MCDM and multi-objective optimization approach. Comput Oper Res 81:282–304
Hashemi SH, Karimi A, Tavana M (2015) An integrated green supplier selection approach with analytic network process and improved grey relational analysis. Int J Prod Econ 159:178–191
He Y, Lei F, Wei G, Wang R, Wu J, Wei C (2019) EDAS method for multiple attribute group decision making with probabilistic uncertain linguistic information and its application to green supplier selection. Int J Comput Intell Syst 12(2):1361–1370
Igarashi M, de Boer L, Fet AM (2013) What is required for greener supplier selection? A literature review and conceptual model development. J Purch Supply Manag 19(4):247–263
Javad MOM, Darvishi M, Javad AOM (2020) Green supplier selection for the steel industry using BWM and fuzzy TOPSIS: a case study of Khouzestan steel company. Sustain Futur 2:100012
Ji P, Zhang HY, Wang JQ (2018) A projection-based TODIM method under multi-valued neutrosophic environments and its application in personnel selection. Neural Comput & Applic 29(1):221–234
Jiang P, Hu YC, Yen GF, Tsao SJ (2018) Green supplier selection for sustainable development of the automotive industry using grey decision-making. Sustain Dev 26(6):890–903
Kabir S, Yazdi M, Aizpurua JI, Papadopoulos Y (2018) Uncertainty-aware dynamic reliability analysis framework for complex systems. IEEE Access 6:29499–29515
Kahraman C, Cebeci U, Ulukan Z (2003) Multi-criteria supplier selection using fuzzy AHP. Logist Inf Manag 16(6):382–394
Kahraman C, Öztayşi B, Sarı İU, Turanoğlu E (2014) Fuzzy analytic hierarchy process with interval type-2 fuzzy sets. Knowl-Based Syst 59:48–57
Karami S, Ghasemy Yaghin R, Mousazadegan F (2020) Supplier selection and evaluation in the garment supply chain: an integrated DEA–PCA–VIKOR approach. The Journal of the Textile Institute 112(4):578–595
Karnik NN, Mendel JM (2001) Operations on type-2 fuzzy sets. Fuzzy Sets Syst 122(2):327–348
Karsak EE, Dursun M (2016) Taxonomy and review of non-deterministic analytical methods for supplier selection. Int J Comput Integr Manuf 29(3):263–286
Kilic HS, Yalcin AS (2020) Modified two-phase fuzzy goal programming integrated with IF-TOPSIS for green supplier selection. Appl Soft Comput 93:106371
Krohling RA, Pacheco AG (2014) Interval-valued intuitionistic fuzzy TODIM. Procedia Comput Sci 31:236–244
Krohling RA, Pacheco AG, Siviero AL (2013) IF-TODIM: an intuitionistic fuzzy TODIM to multi-criteria decision making. Knowl-Based Syst 53:142–146
Kumar D, Singh J, Singh OP (2013) A fuzzy logic based decision support system for evaluation of suppliers in supply chain management practices. Math Comput Model 58(11-12):1679–1695
Kumar P, Singh RK, Vaish A (2017) Suppliers’ green performance evaluation using fuzzy extended ELECTRE approach. Clean Techn Environ Policy 19(3):809–821
Kuo RJ, Wang YC, Tien FC (2010) Integration of artificial neural network and MADA methods for green supplier selection. J Clean Prod 18(12):1161–1170
Kuo T, Hsu CW, Li JY (2015) Developing a green supplier selection model by using the DANP with VIKOR. Sustainability 7(2):1661–1689
Laroche M, Bergeron J, Barbaro-Forleo G (2001) Targeting consumers who are willing to pay more for environmentally friendly products. J Consum Mark 18(6):503–520
Li J, Wang JQ, Hu JH (2019) Multi-criteria decision-making method based on dominance degree and BWM with probabilistic hesitant fuzzy information. Int J Mach Learn Cybern 10(7):1671–1685
Li Y, Diabat A, Lu CC (2020) Leagile supplier selection in Chinese textile industries: a DEMATEL approach. Ann Oper Res 287(1):303–322
Liang R, Chong HY (2019) A hybrid group decision model for green supplier selection: a case study of megaprojects. Engineering, Construction and Architectural Management 26(8):1712–1734
Liao CN, Fu YK, Wu LC (2016) Integrated FAHP, ARAS-F and MSGP methods for green supplier evaluation and selection. Technol Econ Dev Econ 22(5):651–669
Liu P, Gao H, Ma J (2019a) Novel green supplier selection method by combining quality function deployment with partitioned Bonferroni mean operator in interval type-2 fuzzy environment. Inf Sci 490:292–316
Liu Y, Jin L, Zhu F (2019b) A multi-criteria group decision making model for green supplier selection under the ordered weighted hesitant fuzzy environment. Symmetry 11(1):17
Lo HW, Liou JJ, Wang HS, Tsai YS (2018) An integrated model for solving problems in green supplier selection and order allocation. J Clean Prod 190:339–352
Lu Z, Sun X, Wang Y, Xu C (2019) Green supplier selection in straw biomass industry based on cloud model and possibility degree. J Clean Prod 209:995–1005
Luthra S, Govindan K, Kannan D, Mangla SK, Garg CP (2017) An integrated framework for sustainable supplier selection and evaluation in supply chains. J Clean Prod 140:1686–1698
Mani V, Agrawal R, Sharma V (2014) Supplier selection using social sustainability: AHP based approach in India. Int Strat Manag Rev 2(2):98–112
Mardani A, Kannan D, Hooker RE, Ozkul S, Alrasheedi M, Tirkolaee EB (2019) Evaluation of green and sustainable supply chain management using structural equation modelling: a systematic review of the state of the art literature and recommendations for future research. J Clean Prod 249:119383
Mavi RK (2015) Green supplier selection: a fuzzy AHP and fuzzy ARAS approach. Int J Serv Oper Manag 22(2):165–188
Mendel JM (2007) Type-2 fuzzy sets and systems: an overview. IEEE Comput Intell Mag 2(1):20–29
Mendel JM, John RI, Liu F (2006) Interval type-2 fuzzy logic systems made simple. IEEE Trans Fuzzy Syst 14(6):808–821
Mi X, Tang M, Liao H, Shen W, Lev B (2019) The state-of-the-art survey on integrations and applications of the best worst method in decision making: why, what, what for and what’s next? Omega 87:205–225
Mishra D, Gunasekaran A, Papadopoulos T, Hazen B (2017) Green supply chain performance measures: a review and bibliometric analysis. Sustain Prod Consum 10:85–99
Mondragon AEC, Mastrocinque E, Tsai JF, Hogg PJ (2019) An AHP and fuzzy AHP multifactor decision making approach for technology and supplier selection in the high-functionality textile industry. IEEE Trans Eng Manag:1–14
Mou Q, Xu Z, Liao H (2016) An intuitionistic fuzzy multiplicative best-worst method for multi-criteria group decision making. Inf Sci 374:224–239
Nakiboglu G, Bulgurcu B (2021) Supplier selection in a Turkish textile company by using intuitionistic fuzzy decision-making. J Textile Inst 112(2):322–332
Nielsen IE, Banaeian N, Golińska P, Mobli H, Omid M (2014) Green supplier selection criteria: from a literature review to a flexible framework for determination of suitable criteria. In: Logistics operations, supply chain management and sustainability. Springer, Cham, pp 79–99
Nong NMT, Ho PT (2019) Criteria for supplier selection in textile and apparel industry: a case study in Vietnam. J Asian Financ Econ Bus 6(2):213–221
Ocampo LA, Abad GKM, Cabusas KGL, Padon MLA, Sevilla NC (2018) Recent approaches to supplier selection: a review of literature within 2006-2016. Int J Integr Supply Manag 12(1-2):22–68
Okereke C (2007) An exploration of motivations, drivers and barriers to carbon management:: The uk ftse 100. Eur Manag J 25(6):475–486
Omrani H, Alizadeh A, Emrouznejad A (2018) Finding the optimal combination of power plants alternatives: a multi response Taguchi-neural network using TOPSIS and fuzzy best-worst method. J Clean Prod 203:210–223
Ozdemir Y, Gul M (2019) Measuring development levels of NUTS-2 regions in Turkey based on capabilities approach and multi-criteria decision-making. Comput Ind Eng 128:150–169
Qin J, Liu X, Pedrycz W (2017) An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment. Eur J Oper Res 258(2):626–638
Rani P, Jain D, Hooda DS (2019) Extension of intuitionistic fuzzy TODIM technique for multi-criteria decision making method based on shapley weighted divergence measure. Granul Comput 4(3):407–420
Ren P, Xu Z, Gou X (2016) Pythagorean fuzzy TODIM approach to multi-criteria decision making. Appl Soft Comput 42:246–259
Rezaei J (2015) Best-worst multi-criteria decision-making method. Omega 53:49–57
Rezaei J (2016) Best-worst multi-criteria decision-making method: some properties and a linear model. Omega 64:126–130
Rezaei J, Nispeling T, Sarkis J, Tavasszy L (2016) A supplier selection life cycle approach integrating traditional and environmental criteria using the best worst method. J Clean Prod 135:577–588
Rostamzadeh R, Govindan K, Esmaeili A, Sabaghi M (2015) Application of fuzzy VIKOR for evaluation of green supply chain management practices. Ecol Indic 49:188–203
Sang X, Liu X (2016) An interval type-2 fuzzy sets-based TODIM method and its application to green supplier selection. J Oper Res Soc 67(5):722–734
Sari K (2017) A novel multi-criteria decision framework for evaluating green supply chain management practices. Comput Ind Eng 105:338–347
Sarıçam C, Yilmaz SM (2021) An integrated framework for supplier selection and performance evaluation for apparel retail industry. Text Res J. https://doi.org/10.1177/0040517521992353
Sen DK, Datta S, Patel SK, Mahapatra SS (2017) Green supplier selection in fuzzy context: a decision-making scenario on application of fuzzy-MULTIMOORA. Int J Serv Oper Manag 28(1):98–140
Sharaf IM, Khalil EAHA (2020) A spherical fuzzy TODIM approach for green occupational health and safety equipment supplier selection. Int J Manag Sci Eng Manag:1–13
Shaw K, Shankar R, Yadav SS, Thakur LS (2012) Supplier selection using fuzzy AHP and fuzzy multi-objective linear programming for developing low carbon supply chain. Expert Syst Appl 39(9):8182–8192
Shen L, Olfat L, Govindan K, Khodaverdi R, Diabat A (2013) A fuzzy multi criteria approach for evaluating green supplier's performance in green supply chain with linguistic preferences. Resour Conserv Recycl 74:170–179
Simić D, Kovačević I, Svirčević V, Simić S (2017) 50 years of fuzzy set theory and models for supplier assessment and selection: a literature review. J Appl Log 24:85–96
Soner O, Celik E, Akyuz E (2017) Application of AHP and VIKOR methods under interval type 2 fuzzy environment in maritime transportation. Ocean Eng 129:107–116
Su J, Gargeya VB (2016) Supplier selection in small-and medium-sized firms: the case of the US textile and apparel industry. Am J Bus 31(4):166–186
Teng GS, Jaramillo H (2005) A model for evaluation and selection of suppliers in global textile and apparel supply chains. Int J Phys Distrib Logist Manag 35(7):503–523
Tian ZP, Wang JQ, Zhang HY (2018a) An integrated approach for failure mode and effects analysis based on fuzzy best-worst, relative entropy, and VIKOR methods. Appl Soft Comput 72:636–646
Tian ZP, Zhang HY, Wang JQ, Wang TL (2018b) Green supplier selection using improved TOPSIS and best-worst method under intuitionistic fuzzy environment. Informatica 29(4):773–800
Torğul B, Paksoy T (2019) A new multi objective linear programming model for lean and green supplier selection with fuzzy TOPSIS. In: Lean and Green Supply Chain Management. Springer, Cham, pp 101–141
Tsui CW, Wen UP (2014) A hybrid multiple criteria group decision-making approach for green supplier selection in the TFT-LCD industry. Math Probl Eng 2014:1–13
Tuzkaya G (2013) An intuitionistic fuzzy Choquet integral operator based methodology for environmental criteria integrated supplier evaluation process. Int J Environ Sci Technol 10(3):423–432
Ulutaş A, Topal A, Bakhat R (2019) An application of fuzzy integrated model in green supplier selection. Math Probl Eng 2019:4256359. https://doi.org/10.1155/2019/4256359
Uygun Ö, Dede A (2016) Performance evaluation of green supply chain management using integrated fuzzy multi-criteria decision making techniques. Comput Ind Eng 102:502–511
Van L, Yu V, Dat L, Dung C, Chou SY, Loc N (2018) New integrated quality function deployment approach based on interval neutrosophic set for green supplier evaluation and selection. Sustainability 10(3):838
Wang S, Liu J (2017) Extension of the TODIM method to intuitionistic linguistic multiple attribute decision making. Symmetry 9(6):95
Wang J, Wang JQ, Zhang HY (2016) A likelihood-based TODIM approach based on multi-hesitant fuzzy linguistic information for evaluation in logistics outsourcing. Comput Ind Eng 99:287–299
Wetzstein A, Hartmann E, Benton WC Jr, Hohenstein NO (2016) A systematic assessment of supplier selection literature–state-of-the-art and future scope. Int J Prod Econ 182:304–323
Wisner JD, Tan KC, Leong GK (2014) Principles of supply chain management: a balanced approach. Cengage Learning
Wu Q, Zhou L, Chen Y, Chen H (2019) An integrated approach to green supplier selection based on the interval type-2 fuzzy best-worst and extended VIKOR methods. Inf Sci 502:394–417
Wu Y, Xu C, Huang Y, Li X (2020) Green supplier selection of electric vehicle charging based on Choquet integral and type-2 fuzzy uncertainty. Soft Comput 24(5):3781–3795
Yang Y, Wang Y (2020) Supplier selection for the adoption of green innovation in sustainable supply chain management practices: a case of the Chinese textile manufacturing industry. Processes 8(6):717
Yazdani M (2014) An integrated MCDM approach to green supplier selection. Int J Ind Eng Comput 5(3):443–458
Yazdani M, Chatterjee P, Zavadskas EK, Zolfani SH (2017) Integrated QFD-MCDM framework for green supplier selection. J Clean Prod 142:3728–3740
Yazdani M, Chatterjee P, Pamucar D, Abad MD (2019) A risk-based integrated decision-making model for green supplier selection: a case study of a construction company in Spain. Kybernetes. 49:1229–1252
Yazdi M (2018) Risk assessment based on novel intuitionistic fuzzy-hybrid-modified TOPSIS approach. Saf Sci 110:438–448
Yeh WC, Chuang MC (2011) Using multi-objective genetic algorithm for partner selection in green supply chain problems. Expert Syst Appl 38(4):4244–4253
Yildiz A, Yayla AY (2015) Multi-criteria decision-making methods for supplier selection: a literature review. S Afr J Ind Eng 26(2):158–177
Yu Q, Hou F (2016) An approach for green supplier selection in the automobile manufacturing industry. Kybernetes 45(4):571–588
Yucesan M, Mete S, Serin F, Celik E, Gul M (2019) An integrated best-worst and interval type-2 fuzzy topsis methodology for green supplier selection. Mathematics 7(2):182
Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning—I. Inf Sci 8(3):199–249
Zhang X, Xu Z (2014) The TODIM analysis approach based on novel measured functions under hesitant fuzzy environment. Knowl-Based Syst 61:48–58
Zhao H, Guo S (2014) Selecting green supplier of thermal power equipment by using a hybrid MCDM method for sustainability. Sustainability 6(1):217–235
Zhu Q, Dou Y, Sarkis J (2010) A portfolio-based analysis for green supplier management using the analytical network process. Supply Chain Manag 15(4):306–319
Zimmer K, Fröhling M, Schultmann F (2016) Sustainable supplier management–a review of models supporting sustainable supplier selection, monitoring and development. Int J Prod Res 54(5):1412–1442
Zindani D, Maity SR, Bhowmik S, Chakraborty S (2017) A material selection approach using the TODIM (TOmada de Decisao Interativa Multicriterio) method and its analysis. Int J Mater Res 108(5):345–354

MeSH Term

Commerce
Decision Making
Industry
Textile Industry
Uncertainty

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