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Tytuł artykułu

Evaluation of sustainable supplier problem: a hybrid decision making model based on SWARA-WASPAS

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Background: The fierce competitive advantage in the global market depends largely on the integration of all supply chain networks. This network facilitates the movement of information and materials through the suppliers and end customers with a focus on planning and managing. This integration can result in the meeting demands of customer orders being affected by the performance of the suppliers. As a result of this integration, it can be considered that the performance of the suppliers is important in fulfilling customer orders on time. Evaluating and selecting suppliers is greatly influencing the performance of the supply network. Methods: Selecting the proper supplier is a multi-criteria decision-making problem which includes both quantitative and qualitative criteria. A two-stage decision making method is proposed in the study under sustainability dimension. First, SWARA method is used to determine the relative importance of criteria and than WASPAS method is used to evaluate and rank the given alternatives. Results: A real-life case study is given for the selected approach. Also, sensitivity analysis is given. This selected alternative confirms the preferences of decision makers as it is a company that operates internationally and has a reputation and awareness in sustainability within its own country. Conclusions: Due to the increase in awareness on sustainability and the resulting regulations, the issue of sustainability in supply chains and sustainable supplier selection has become an important issue for companies. It is aimed to examine the supplier selection of a company in an electronics sector on a "sustainable" basis, considering from economic, environmental and social aspects. In this study, which was carried out to fill the literature gap identified in this field and to propose a systematic approach to sustainable supplier selection, a hybrid method which consists of both SWARA and WASPAS method have been used to evaluate the suppliers under the sustainability dimensions. With the help of a hybrid model, decision makers can manage conflict management of individual challenges using an analytical process.
Czasopismo
Rocznik
Strony
465--476
Opis fizyczny
Bibliogr. 43 poz., rys., tab.
Twórcy
  • Faculty of Applied Sciences, Department of Management Information Systems, Akdeniz University, Antalya, Turkey
autor
  • Faculty of Business Management and Economics, Department of Econometrics, Akdeniz University, Antalya, Turkey
Bibliografia
  • 1. Abdel-Baset M., Chang V., Gamal A., Smarandache F., 2019. An integrated neutrosophic ANP and VIKOR method for achieving sustainable supplier selection: A case study in importing field. Computers in Industry, 106, 94-110. http://doi.org/10.1016/j.compind.2018.12.017
  • 2. Ahmadi H.B., Petrudi S.H.H., Wang X, 2017, Integrating sustainability into supplier selection with analytical hierarchy process and improved grey relational analysis: A case of telecom industry. International Journal of Advanced Manufacturing Technology, 90, 2413-2427. http://doi.org/10.1007/s00170-016-9518-z
  • 3. Alrasheedi M., Mardani A., Mishra A.R., Rani P., Loganathan N., 2021, An extended framework to evaluate sustainable suppliers in manufacturing companies using a new pythagorean fuzzy entropy-SWARA-WASPAS decision-making approach. Journal of Enterprise Information Management, http://doi.org/10.1108/JEIM-07-2020-0263
  • 4. Amindoust A., Ahmed S., Saghafinia A., Bahreininejad A., 2012. Sustainable supplier selection: A ranking model based on fuzzy inference system. Applied Soft Computing, 12, 1668-1677. http://doi.org/10.1016/j.asoc.2012.01.023
  • 5. Amindoust A., Saghafinia A., 2017. Textile supplier selection in sustainable supply chain using a modular fuzzy inference system model. TEXT Institute, 108, 1250-1258. http://doi.org/10.1080/00405000.2016.1238130
  • 6. Awasthi A., Govindan K., Gold S., 2018. Multi-tier sustainable global supplier using a fuzzy AHP-VIKOR based approach. International Journal of Production Economics, 195, 106-117. http://doi.org/10.1016/j.ijpe.2017.10.013
  • 7. Azadi M., Saen R.F., 2012. Developing a worst practice DEA model for selecting suppliers in the presence of imprecise data and dual-role factor. International Journal of Applied Decision Sciences, 5, 272-291. http://doi.org/10.1504/IJADS.2012.047671
  • 8. Azadnia A.H., Saman M.Z.M., Wong K.Y., Ghadimi P., Zakuan N., 2012. Sustainable supplier selection based on self-organizing map neural network and multi criteria decision making approaches. Procedia - Social and Behavioral Sciences, 65, 879-884. http://doi.org/10.1016/j.sbspro.2012.11.214
  • 9. Azadnia A.H., Saman M.Z.M., Wong K.Y., 2015, Sustainable supplier selection and order lot-sizing: an integrated multi-objective decision-making process. International Journal of Production Research, 53, 383-403. http://doi.org/10.1080/00207543.2014.935827
  • 10. Bai C., Kusi-Sarpong S., Ahmadi H.B., Sarkis J., 2019, Social sustainable supplier evaluation and selection: a group decision-support approach. International Journal of Production Research, 57, 7046-7067. http://doi.org/10.1080/00207543.2019.1574042
  • 11. Büyüközkan G., Çifçi G., 2011, A novel fuzzy multi-criteria decision framework for sustainable supplier selection with incomplete information. Computers in Industry, 62, 164-174. http://doi.org/10.1016/j.compind.2010.10.009
  • 12. Carter C., Rogers D., 2008, A framework of sustainable supply chain management: moving toward new theory. International Journal of Physical Distribution & Logistics Management, 38, 360-387. http://doi.org/10.1108/09600030810882816
  • 13. Carter C.R., Easton P.L., 2011, Sustainable supply chain management: Evolution and future directions. International Journal of Physical Distribution & Logistics Management, 41, 46-62. http://doi.org/10.1108/09600031111101420
  • 14. Cheraghalipour A., Farsad S., 2018. A bi-objective sustainable supplier selection and order allocation considering quantity discounts under disruption risks: A case study in plastic industry. Computers in Industry, 118, 237-250. http://doi.org/10.1016/j.cie.2018.02.041
  • 15. Ghadimi P., Heavey C., 2014, Sustainable supplier selection in medical device industry: toward sustainable manufacturing. Procedia CIRP Conference on Life Cycle Engineering, 15, 165-170. http://doi.org/10.1016/j.procir.2014.06.096
  • 16. Ghadimi P., Dargi A., Heavey C., 2017. Sustainable supplier performance scoring using audition check-list based fuzzy inference system: A case application in automotive spare part industry. Computers in Industry, 105, 12-27. http://doi.org/10.1016/j.cie.2017.01.002
  • 17. Girubha J., Vinodh S., Kek V., 2016. Application of interpretative structural modelling integrated multi criteria decision making methods for sustainable supplier selection. Journal of Modelling in Management, 11, 358-388. http://doi.org/10.1108/JM2-02-2014-0012
  • 18. Goren H.G., 2018, A decision framework for sustainable supplier selection and order allocation with lost sales. Journal of Cleaner Production, 183, 1156-1169. http://doi.org/10.1016/j.jclepro.2018.02.211
  • 19. Govindan K., Khodaverdi R., Jafarian A., 2013. A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach. Journal of Cleaner Production, 47, 345-354. http://doi.org/10.1016/j.jclepro.2012.04.014
  • 20. Hashim M., Nazam M., Yao L., Baig S.A., Abrar M., Ziar-ur-Rehman M., 2017, Application of multi-objective optimization based on genetic algorithm for sustainable strategic supplier selection under fuzzy environment. Journal of Industrial Engineering and Management, 10, 188-212.
  • 21. Hollos D., Blome C., Foerstl K., 2011. Does sustainable supplier co-operation affect performance? Examining implications for the triple bottom line. International Journal of Production Research, 50, 2968-2986. http://doi.org/10.1080/00207543.2011.582184
  • 22. Jamali G., Farrokhnejad K.H., Mohammadi M., 2015. Decision making on analyzing advanced manufacturing systems dimensions: SWARA and COPRAS_G integration (case study: automotive industry). Buletin Teknologi Tanaman, 12, 266-274.
  • 23. Kannan D., 2018. Role of multiple stakeholders and the critical success factor theory for the sustainable supplier selection process. International Journal of Production Economics, 195, 391-418. http://doi.org/10.1016/j.ijpe.2017.02.020
  • 24. Kersuliene V., Zavadskas E.K., Turksis Z., 2010. Selection of rational dispute resolution method by applying new stepwise weight assessment ratio analysis (Swara). Journal of Business Economics and Management, 11, 243-258. http://doi.org/10.3846/jbem.2010.12
  • 25. Liu A., Xiao Y., Lu H., Tsai S.B., Song W., 2019. A fuzzy three-stage multi-attribute decision-making approach based on customer needs for sustainable supplier selection. Journal of Cleaner Production, 239, 1-16. http://doi.org/10.1016/j.jclepro.2019.118043
  • 26. Lu H., Jiang S., Song W., Ming X., 2018. A rough multi-criteria decision-making approach for sustainable supplier selection under vague environment. Sustainability, 10, 1-20.
  • 27. Luthra S., Govindan K., Kannan D., Mangla S.K., Garg C.P., 2017. An integrated framework for sustainable supplier selection and evaluation in supply chains. Journal of Cleaner Production, 140, 1686-1698. http://doi.org/10.1016/j.jclepro.2016.09.078
  • 28. Matici B., Jovanovic S., Das D.K., Zavadskas E.K., Stevic Z., Sremac S., Marinkovic M., 2019. A new hybrid MCDM model: sustainable supplier selection in a construction company. Symmetry, 11, 1-24.
  • 29. Mavi R.K., Goh M., Zarbakhshnia N., 2017. Sustainable third-party reverse logistic provider selection with fuzzy SWARA and fuzzy MOORA in plastic industry. International Journal of Advanced Manufacturing Technology, 91, 2401-2418. http://doi.org/10.1007/s00170-016-9880-x
  • 30. Mehregan M.R., Hashemi S.H., Karimi A., Merikhi B, 2014, Analysis of interactions among sustainability supplier selection criteria using ISM and fuzzy DEMATEL. International Journal of Applied Decision Sciences, 7, 270-294. http://doi.org/10.1504/IJADS.2014.063226
  • 31. Memari A., Dargi A., Jokar M.R.A. Ahmad, R., Rahim A.R.A., 2019. Sustainable supplier selection: A multi-criteria intuitionistic fuzzy TOPSIS method, Journal of Manufacturing Systems, 50, 9-24. http://doi.org/10.1016/j.jmsy.2018.11.002
  • 32. Mohammed A., Setchi R., Filip M., Harris I., Li X., 2018. An integrated methodology for a sustainable two-stage supplier selection and order allocation problem. Journal of Cleaner Production, 192, 99-114. http://doi.org/10.1016/j.jclepro.2018.04.131
  • 33. Mohammed A., Harris I., Govindan K., 2019. A hybrid MCDM-FMOO approach for sustainable supplier selection and order allocation. International Journal of Production Economics, 217, 171-184. http://doi.org/10.1016/j.ijpe.2019.02.003
  • 34. Phochanikorn P., Tan C., 2019. A new extension to a multi-criteria decision-making model for sustainable supplier selection under an intuitionistic fuzzy environment. Sustainability, 2019, 11, 1-24.
  • 35. Pishchulov G., Trautrims A., Chesney T., Gold S., Schwab L., 2019. The voting analytic hierarchy process revisited: A revised method with application to sustainable supplier selection. International Journal of Production Economics, 211, 166-179. http://doi.org/10.1016/j.ijpe.2019.01.025
  • 36. Rabieh M., Rafsanjani A.F., Babaei L., Esmaeili M., 2019. Sustainable supplier selection and order allocation: An integrated delphi method, fuzzy TOPSIS and multi-objective programming model. Scientia Iranica, 26, 2524-2540.
  • 37. Segura M., Maroto C., Segura B., 2019. Quantifying the sustainability of products and suppliers in food distribution companies. Sustainability, 11, 1-18.
  • 38. Stevic Z., Durmic E., Gajic M., Pamucar D., Puska A., 2019. A novel multi-criteria decision-making model: Interval rough SAW method for sustainable supplier selection. Information, 10, 1-21. http://doi.org/10.3390/info10100292
  • 39. Stevic Z., Pamucar D., Puska A., Chatterjee P., 2020. Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to compromise solution (MARCOS). Computers in Industry, 140, 1-15. http://doi.org/10.1016/j.cie.2019.106231
  • 40. Tavana M., Yazdani M., Di Caprio D., 2017. An application of an integrated ANP-QFD framework for sustainable supplier selection. International Journal of Logistics - Research and Applications, 20, 254-275. http://doi.org/10.1080/13675567.2016.1219702
  • 41. Tirkolaee E.B., Mardani A., Dashtian Z., Soltani M., Weber G.H., 2020. A novel hybrid method using fuzzy decision making and multi-objective programming for sustainable-reliable supplier selection in two-echolon supply chain design. Journal of Cleaner Production, 250, 1-20. http://doi.org/10.1016/j.jclepro.2019.119517
  • 42. Zolfani S.H., Zavadskas E., Turksis Z., 2013. Design of products with both international and local perspectives based on yin-yang balance theory and SWARA method. Ekonomska Istrazivanja-Economic Research, 26, 153-166. http://doi.org/10.1080/1331677X.2013.11517613
  • 43. Zolfani S.H., Pourhossein M., Yazdani M., Zavadskas E.K., 2018. Evaluating construction projects of hotels based on environmental sustainability with MCDM framework. Alexandria Engineering Journal, 57, 57-365. http://doi.org/10.1016/j.aej.2016.11.002
Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a2177cca-6e43-4b26-a4a7-bbf75b9c397c
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