Green suppler selection by an integrated method with stochastic acceptability analysis and MULTIMOORA
DOI: https://doi.org/10.3846/tede.2020.11964Abstract
In the process of supplier selection for green supply chain management, uncertain information may appear in alternatives’ performances or experts’ preferences. The stochastic multicriteria acceptability analysis (SMAA) is a beneficial technique to tackling the uncertain information in such a problem and the MULTIMOORA is a robust technique to aggregate alternatives’ utilities. This study dedicates to proposing an SMAA-MULTIMOORA method by considering the advantages of both methods. The integrated method can accept uncertain information as inputs. The steps of the SMAA-MULTIMOORA are illustrated. A case study about the selection of green suppliers is given to show the validity and robustness of the SMAA-MULTIMOORA method.
Keywords:
green supplier selection, stochastic information, multi-criteria acceptability analysis, SMAA, MULTIMOORAHow to Cite
Share
License
Copyright (c) 2020 The Author(s). Published by Vilnius Gediminas Technical University.
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
Akman, G. (2015). Evaluating suppliers to include green supplier development programs via fuzzy cmeans and VIKOR methods. Computers & Industrial Engineering, 86, 69–82. https://doi.org/10.1016/j.cie.2014.10.013"> https://doi.org/10.1016/j.cie.2014.10.013
Akgül, E., Özemn, M., Aydoğan, E. K., & Türksoy, H. G. (2017). Optimization of the murata vortex spinning machine parameters by the SMAA-MOORA approach. Industria Textila, 68(5), 323–331. https://doi.org/10.35530/IT.068.05.1267"> https://doi.org/10.35530/IT.068.05.1267
Altuntas, S., Dereli, T., & Yilmaz, M. K. (2015). Evaluation of excavator technologies: Application of data fusion based MULTIMOORA methods. Journal of Civil Engineering and Management, 21(8), 977–997. https://doi.org/10.3846/13923730.2015.1064468"> https://doi.org/10.3846/13923730.2015.1064468
Antucheviciene, J., Kala, Z., Marzouk, M., & Vaidogas, E. R. (2015). Solving civil engineering problems by means of fuzzy and stochastic MCDM methods: Current state and future research. Mathematical Problems in Engineering, 2015, 362579. https://doi.org/10.1155/2015/362579"> https://doi.org/10.1155/2015/362579
Awasthi, A., & Kannan, G. (2016). Green supplier development program selection using NGT and VIKOR under fuzzy environment. Computers & Industrial Engineering, 91, 100–108. https://doi.org/10.1016/j.cie.2015.11.011"> https://doi.org/10.1016/j.cie.2015.11.011
Bakeshlou, E. A., Khamseh, A. A., Asl, M. A. G., Sadeghi, J., & Abbaszadeh, M. (2017). Evaluating a green supplier selection problem using a hybrid MODM algorithm. Journal of Intelligent Manufacturing, 28(4), 913–927. https://doi.org/10.1007/s10845-014-1028-y"> https://doi.org/10.1007/s10845-014-1028-y
Banaeian, N., Mobli, H., Fahimnia, B., Nielsen, I. E., & Omid, M. (2018). Green supplier selection using fuzzy group decision making methods: A case study from the agri-food industry. Computers & Operations Research, 89, 337–347. https://doi.org/10.1016/j.cor.2016.02.015"> https://doi.org/10.1016/j.cor.2016.02.015
Brauers, W. K. M., & Zavadskas, E. K. (2006). The MOORA method and its application to privatization in a transition economy. Control and Cybernetics, 35(2), 445–469.
Brauers, W. K. M., & Zavadskas, E. K. (2010). Project management by multimoora as an instrument for transition economies. Technological and Economic Development of Economy, 16(1), 5–24. https://doi.org/10.3846/tede.2010.01"> https://doi.org/10.3846/tede.2010.01
Brauers, W. K. M., & Zavadskas, E. K. (2012). Robustness of MULTIMOORA: A method for multiobjective optimization. Informatica, 23(1), 1–15.
Büyüközkan, G., & Çifçi, G. (2012). A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers. Experts Systems with Applications, 39(3), 3000–3011. https://doi.org/10.1016/j.eswa.2011.08.162"> https://doi.org/10.1016/j.eswa.2011.08.162
Chen, X., Zhao, L., & Liang, H. M. (2018). A novel multi-attribute group decision-making method based on the MULTIMOORA with linguistic evaluations. Soft Computing, 22(16), 5347–5361. https://doi.org/10.1007/s00500-018-3030-3"> https://doi.org/10.1007/s00500-018-3030-3
Chithambaranathan, P., Subramanian, N., Gunasekaran, A., & Palaniappan, P. L. K. (2015). Service supply chain environmental performance evaluation using grey based hybrid MCDM approach. International Journal of Production Economics, 166, 163–176. https://doi.org/10.1016/j.ijpe.2015.01.002"> https://doi.org/10.1016/j.ijpe.2015.01.002
Choquet, G. (1953). Theory of capacities. Annales de l’Institut Fourier, 5, 131–295. https://doi.org/10.5802/aif.53"> https://doi.org/10.5802/aif.53
Dorfeshan, Y., Mousavi, S. M., Mohagheghi, V., & Vahdani, B. (2018). Selecting project-critical path by a new interval type-2 fuzzy decision methodology based on MULTIMOORA, MOOSRA and TPOP methods. Computers & Industry Engineering, 120, 160–178. https://doi.org/10.1016/j.cie.2018.04.015"> https://doi.org/10.1016/j.cie.2018.04.015
dos Santos, B. M., Godoy, L. P., & Campos, L. M. S. (2019). Performance evaluation of green suppliers using entropy-TOPSIS-F. Journal of Cleaner Production, 207, 498–509. https://doi.org/10.1016/j.jclepro.2018.09.235"> https://doi.org/10.1016/j.jclepro.2018.09.235
Fishman, G. (1996). Monte Carlo: Concepts, algorithms, and applications. Springer. https://doi.org/10.1007/978-1-4757-2553-7"> https://doi.org/10.1007/978-1-4757-2553-7
Freeman, J., & Chen, T. (2015). Green supplier selection using an AHP-Entropy-TOPSIS framework. Supply Chain Management, 20(3), 327–340. https://doi.org/10.1108/SCM-04-2014-0142"> https://doi.org/10.1108/SCM-04-2014-0142
Gou, X. J., Liao, H. C., Xu, Z. S., & Herrera, F. (2017). Double hierarchy hesitant fuzzy linguistic term set and MULTIMOORA method: A case of study to evaluate the implementation status of haze controlling measures. Information Fusion, 38, 22–34. https://doi.org/10.1016/j.inffus.2017.02.008"> https://doi.org/10.1016/j.inffus.2017.02.008
Govindan, K., Rajendran, S., Sarkis, J. & Murugesan, P. (2015). Multi criteria decision making approaches for green supplier evaluation and selection: A literature review. Journal of Cleaner Production, 98, 66–83. https://doi.org/10.1016/j.jclepro.2013.06.046"> https://doi.org/10.1016/j.jclepro.2013.06.046
Govindan, K., Kadziński, M., & Sivakumar, R. (2017). Application of a novel PROMETHEE-based method for construction of a group compromise ranking to prioritization of green suppliers in food supply chain. Omega, 71, 129–145. https://doi.org/10.1016/j.omega.2016.10.004"> https://doi.org/10.1016/j.omega.2016.10.004
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. Annals of Operations Research, 238(1–2), 243–276. https://doi.org/10.1007/s10479-015-2004-4"> https://doi.org/10.1007/s10479-015-2004-4
Haeri, S. A. S., & Rezaei, J. (2019). A grey-based green supplier selection model for uncertain environments. Journal of Cleaner Production, 221, 768–784. https://doi.org/10.1016/j.jclepro.2019.02.193"> https://doi.org/10.1016/j.jclepro.2019.02.193
Hafezalkotob, A., Hafezalkotob, A., Liao, H. C., & Herrera, F. (2019). An overview of MULTIMOORA for multi-criteria decision-making: Theory, developments, applications, and challenges. Information Fusion, 51, 145–177. https://doi.org/10.1016/j.inffus.2018.12.002"> https://doi.org/10.1016/j.inffus.2018.12.002
Hafezalkotob, A., Hafezalkotob, A., Liao, H. C., & Herrera, F. (2020). Interval MULTIMOORA method integrating interval Borda rule and interval best-worst-method-based weighting model: Case study on hybrid vehicle engine selection. IEEE Transactions on Cybernetics, 50(3), 1157–1169. https://doi.org/10.1109/TCYB.2018.2889730"> https://doi.org/10.1109/TCYB.2018.2889730
Hafezalkotob, A., Hafezalkotob, A., & Sayadi, M. K. (2016). Extension of MULTIMOORA method with interval numbers: An application in materials selection. Applied Mathematical Modelling, 40(2), 1372–1386. https://doi.org/10.1016/j.apm.2015.07.019"> https://doi.org/10.1016/j.apm.2015.07.019
Hamdan, S., & Cheaitou, A. (2017). Supplier selection and order allocation with green criteria: An MCDM and multi-objective optimization approach. Computers & Operations Research, 81, 282–304. https://doi.org/10.1016/j.cor.2016.11.005"> https://doi.org/10.1016/j.cor.2016.11.005
Hashemi, S. H., Karimi, A., & Tavana, M. (2015). An integrated green supplier selection approach with analytic network process and improved Grey relational analysis. International Journal of Production Economics, 159, 178–191. https://doi.org/10.1016/j.ijpe.2014.09.027"> https://doi.org/10.1016/j.ijpe.2014.09.027
Hsu, C. W., Kuo, T. C., Chen, S. H., & Hu, A. H. (2013). Using DEMATEL to develop a carbon management model of supplier selection in green supply chain management. Journal of Cleaner Production, 56, 164–172. https://doi.org/10.1016/j.jclepro.2011.09.012"> https://doi.org/10.1016/j.jclepro.2011.09.012
Yazdani, M., Chatterjee, P., Zavadskas, E. K., & Hashemkhani Zolfani, S. (2017). Integrated QFD-MCDM framework for green supplier selection. Journal of Cleaner Production, 142(Part 4), 3728– 3740. https://doi.org/10.1016/j.jclepro.2016.10.095"> https://doi.org/10.1016/j.jclepro.2016.10.095
Kannan, D., Govindan, K., & Rajendran, S. (2015). Fuzzy Axiomatic Design approach based green supplier selection: A case study from Singapore. Journal of Cleaner Production, 96, 194–208. https://doi.org/10.1016/j.jclepro.2013.12.076"> https://doi.org/10.1016/j.jclepro.2013.12.076
Kannan, D., Jabbour, A. B. L. D., & Jabbour, C. J. C. (2014). Selecting green suppliers based on GSCM practices: Using fuzzy TOPSIS applied to a Brazilian electronics company. European Journal of Operational Research, 233(2), 432–477. https://doi.org/10.1016/j.ejor.2013.07.023"> https://doi.org/10.1016/j.ejor.2013.07.023
Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2017a). A new hybrid simulation-based assignment approach for evaluating airlines with multiple service quality criteria. Journal of Air Transport Management, 63, 45–60. https://doi.org/10.1016/j.jairtraman.2017.05.008"> https://doi.org/10.1016/j.jairtraman.2017.05.008
Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2017b). Stochastic EDAS method for multi-criteria decision-making with normally distributed data. Journal of Intelligent & Fuzzy Systems, 33(3), 1627–1638. https://doi.org/10.3233/JIFS-17184"> https://doi.org/10.3233/JIFS-17184
Keshavarz Ghorabaee, M., Zavadskas, E. K., Amiri, M., & Esmaeili, A. (2016). Multi-criteria evaluation of green suppliers using an extended WASPAS method with interval type-2 fuzzy sets. Journal of Cleaner Production, 137, 213–229. https://doi.org/10.1016/j.jclepro.2016.07.031"> https://doi.org/10.1016/j.jclepro.2016.07.031
Khaksar, E., Abbasnejad, T., Esmaeili, A., & Tamosaitiene, J. (2016). The effect of green supply chain management practices on environmental performance and competitive advantage: A case study of the cement industry. Technological and Economic Development of Economy, 22(2), 293–308. https://doi.org/10.3846/20294913.2015.1065521"> https://doi.org/10.3846/20294913.2015.1065521
Lahdelma, R., & Salminen, P. (2001). SMAA-2: Stochastic multicriteria acceptability analysis for group decision making. Operations Research, 49(3), 444–454. https://doi.org/10.1287/opre.49.3.444.11220"> https://doi.org/10.1287/opre.49.3.444.11220
Lazauskas, M., Kutut, V., & Zavadskas, E. K. (2015). Multicriteria assessment of unfinished construction projects. Gradevinar, 67(4), 319–328.
Liang, X., Jiang, Y. P., & Liu, P. D. (2018). Stochastic multiple-criteria decision making with 2-tuple aspirations: A method based on disappointment stochastic dominance. International Transactions in Operational Research, 25(3), 913–940. https://doi.org/10.1111/itor.12430"> https://doi.org/10.1111/itor.12430
Liao, C. N., Fu, Y. K., & Wu, L. C. (2016). Integrated FAHP, ARAS-F and MSGP methods for green supplier evaluation and selection. Technological and Economic Development of Economy, 22(5), 651–669. https://doi.org/10.3846/20294913.2015.1072750"> https://doi.org/10.3846/20294913.2015.1072750
Liao, H. C., Tang, M., Li, Z. M., & Lev, B. (2019a). Bibliometric analysis for highly cited papers in operations research and management science based on Essential Science Indicators. Omega, 88, 223–236. https://doi.org/10.1016/j.omega.2018.11.005"> https://doi.org/10.1016/j.omega.2018.11.005
Liao, H. C., Qin, R., Gao, C. Y., Wu, X. L., Hafezalkotob, A., & Herrera, F. (2019b). Score-HeDLiSF: A score function of hesitant fuzzy linguistic term set based on hesitant degrees and linguistic scale functions: An application to unbalanced hesitant fuzzy linguistic MULTIMOORA. Information Fusion, 48, 39–54. https://doi.org/10.1016/j.inffus.2018.08.006"> https://doi.org/10.1016/j.inffus.2018.08.006
Liao, H. C., Xu, Z. S., Herrera-Viedma, E., & Herrera, F. (2018). Hesitant fuzzy linguistic term set and its application in decision making: A state-of-the art survey. International Journal of Fuzzy System, 20(7), 2084–2110. https://doi.org/10.1007/s40815-017-0432-9"> https://doi.org/10.1007/s40815-017-0432-9
Liou, J. J. H., Tamosaitiene, J., Zavadskas, E. K., & Tzeng, G. H. (2016). New hybrid COPRAS-G MADM Model for improving and selecting suppliers in green supply chain management. International Journal of Production Research, 54(1), 114–134. https://doi.org/10.1080/00207543.2015.1010747"> https://doi.org/10.1080/00207543.2015.1010747
Liu, P. D., Gao, H., & Ma, J. H. (2019). Novel green supplier selection method by combining quality function deployment with partitioned Bonferroni mean operator in interval type-2 fuzzy environment. Information Sciences, 490, 292–316. https://doi.org/10.1016/j.ins.2019.03.079"> https://doi.org/10.1016/j.ins.2019.03.079
Lo, H. W., Liou, J. J. H., Wang, H. S., & Tsai, Y. S. (2018). An integrated model for solving problems in green supplier selection and order allocation. Journal of Cleaner Production, 190, 339–352. https://doi.org/10.1016/j.jclepro.2018.04.105"> https://doi.org/10.1016/j.jclepro.2018.04.105
Lu, Z. M., Sun, X. K., Wang, Y. X., & Xu, C. B. (2019). Green supplier selection in straw biomass industry based on cloud model and possibility degree. Journal of Cleaner Production, 209, 995–1005. https://doi.org/10.1016/j.jclepro.2018.10.130"> https://doi.org/10.1016/j.jclepro.2018.10.130
Luo, L., Zhang, C., & Liao, H. C. (2019). Distance-based intuitionistic multiplicative MULTIMOORA method integrating a novel weight-determining method for multiple criteria group decision making, Computers & Industrial Engineering, 131, 82–98. https://doi.org/10.1016/j.cie.2019.03.038"> https://doi.org/10.1016/j.cie.2019.03.038
Milton, J. S., & Arnold, J. C. (1995). Introduction to probability and statistics. McGraw-Hill.
Mohammadi, H., Farahani, F. V. Noroozi, M., & Lashgari, A. (2017). Green supplier selection by developing a new group decision-making method under type 2 fuzzy uncertainty. International Journal of Advanced Manufacturing Technology, 93(1–4), 1443–1462. https://doi.org/10.1007/s00170-017-0458-z"> https://doi.org/10.1007/s00170-017-0458-z
Mousakhani, S., Nazari-Shirkouhi, S., & Bozorgi-Amiri, A. (2017). A novel interval type-2 fuzzy evaluation model based group decision analysis for green supplier selection problems: A case study of battery industry. Journal of Cleaner Production, 168, 205–218. https://doi.org/10.1016/j.jclepro.2017.08.154"> https://doi.org/10.1016/j.jclepro.2017.08.154
Pelissari, R., Oliveira, M. C., Amor, S. B., Kandakoglu, A., & Helleno, A. L. (2019). SMAA methods and their applications: A literature review and future research directions. Annals of Operations Research. https://doi.org/10.1007/s10479-019-03151-z"> https://doi.org/10.1007/s10479-019-03151-z
Qin, J. D., Liu, X. W., & Pedrycz, W. (2017). An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment. European Journal of Operational Research, 258(2), 626–638. https://doi.org/10.1016/j.ejor.2016.09.059"> https://doi.org/10.1016/j.ejor.2016.09.059
Sang, X. Z., & Liu, X. W. (2016). An interval type-2 fuzzy sets-based TODIM method and its application to green supplier selection. Journal of the Operational Research Society, 67(5), 722–734. https://doi.org/10.1057/jors.2015.86"> https://doi.org/10.1057/jors.2015.86
Sen, D. K., Datta, S., Patel, S. K., & Mahapatra, S. S. (2017). Green supplier selection in fuzzy context: A decision-making scenario on application of fuzzy-MULTIMOORA. International Journal of Services and Operations Management, 28(1), 98–140. https://doi.org/10.1504/IJSOM.2017.085907"> https://doi.org/10.1504/IJSOM.2017.085907
Shen, L. X., 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. Resource Conservation and Recycling, 74, 170–179. https://doi.org/10.1016/j.resconrec.2012.09.006"> https://doi.org/10.1016/j.resconrec.2012.09.006
Tang, X. Y., & Wei, G. W. (2018). Models for green supplier selection in green supply chain management with pythagorean 2-tuple linguistic information. IEEE Access, 6, 18042–18060. https://doi.org/10.1109/ACCESS.2018.2817551"> https://doi.org/10.1109/ACCESS.2018.2817551
Tervonen, T., & Figueira, J. R. (2008). A survey on stochastic multicriteria acceptability analysis methods. Journal of Multi-Criteria Decision Analysis, 15(1–2), 1–14. https://doi.org/10.1002/mcda.407"> https://doi.org/10.1002/mcda.407
Tseng, M. L., Islam, M. S., Karia, N., Fauzi, F. A., & Afrin, S. (2019). A literature review on green supply chain management: Trends and future challenges. Resource Conservation and Recycling, 141, 145–162. https://doi.org/10.1016/j.resconrec.2018.10.009"> https://doi.org/10.1016/j.resconrec.2018.10.009
Ustinovichius, L, & Simanaviciene, R. (2008). The application of stochastic dominance to sensitivity analysis in quantitative multiple criteria decision making. In 5th International Conference on Cooperative Design, Visualization and Engineering (pp. 184–191). Mallorca, Spain. https://doi.org/10.1007/978-3-540-88011-0_25"> https://doi.org/10.1007/978-3-540-88011-0_25
Wu, X. L., Liao, H. C., Xu, Z. S., Hafezalkotob, A., & Herrera, F. (2018). Probabilistic linguistic MULTIMOORA: A multi-criteria decision making method based on the probabilistic linguistic expectation function and the improved Borda rule. IEEE Transactions on Fuzzy Systems, 26(6), 3688–3702. https://doi.org/10.1109/TFUZZ.2018.2843330"> https://doi.org/10.1109/TFUZZ.2018.2843330
Zaras, K. (2004). Rough approximation of a preference relation by a multi-attribute dominance for deterministic, stochastic and fuzzy decision problems. European Journal of Operational Research, 159(1), 196–206. https://doi.org/10.1016/S0377-2217(03)00391-6"> https://doi.org/10.1016/S0377-2217(03)00391-6
Zou, Q., Zhou, J. Z., Zhou, C., Song, L. X., & Guo, J. (2013). Comprehensive flood risk assessment based on set pair analysis-variable fuzzy sets model and fuzzy AHP. Stochastic Environmental Research and Risk Assessment, 27(2), 525–546. https://doi.org/10.1007/s00477-012-0598-5"> https://doi.org/10.1007/s00477-012-0598-5
View article in other formats
CrossMark check
Published
Issue
Section
Copyright
Copyright (c) 2020 The Author(s). Published by Vilnius Gediminas Technical University.
License
This work is licensed under a Creative Commons Attribution 4.0 International License.