Multi-Criteria Decision-Making Methods in Green Logistics
https://doi.org/10.30932/1992-3252-2021-19-5-13
Abstract
Due to the increased demands of the world community in accordance with the goals of the concept of sustainable development, supply chain management requires complex decisionmaking models that consider many environmental, economic, and social constraints when implementing various environmentally friendly, green methods and technologies. An effective tool in such conditions is the use of MCDM, multi-criteria decision-making methods. The objective of the research, the results of which are provided in the article, is to analyse the application of MCDM in green logistics and management of green supply chains. The work used a set of methods including system and structural-functional analysis, methods of the theory of fuzzy sets, mathematical statistics, and expert assessments. A general scheme of MCDM implementation is offered and a combined MCDM model is developed for assessing decisions on the choice of green technologies, including a system of indicators for logistics flows, a model for managing logistics flows and a system of tools for green logistics. In the MCDM model, a fuzzy analytical hierarchical process (fuzzy AHP) is used to establish the weight of indicators of logistics flows, eleven MCDM methods are used to rank green logistics tools: SAW, TOPSIS, PROMETHEE, COPRAS, ARAS, WASPAS, MAIRCA, EDAS, MABAC, CODAS, MARCOS. Comparison of the use of various MCDM methods showed a high convergence of the ranking results (Spearman’s rank correlation coefficient is of 0.949). The most consistent are SAW, MARCOS and WASPAS methods, the least consistent are CODAS methods. The results of the design example showed that the most preferable solution is the «use of intermodal technologies and multimodal transportation» (ranked first within all eleven methods), the least preferable solution is the «use of environmentally friendly fuels and lubricants (fuels)» (ranked 12th within 10 methods of 11).
About the Author
N. A. OsintsevRussian Federation
Osintsev, Nikita A., Ph.D. (Eng), Associate Professor at the Department of Logistics and Transportation Systems Management
Magnitogorsk
References
1. Sustainable Development. United Nations Department of Economic and Social Affairs. [Electronic resource]: https://sustainabledevelopment.un.org/. Last accessed 06.07.2021.
2. Kandakoglu, A., Frini, A., Ben Amor, S. Multicriteria decision making for sustainable development: A systematic review. Journal of Multi-Criteria Decision Analysis, 2019, Vol. 26, Iss. 5–6, pp. 202–251. DOI: 10.1002/mcda.1682/.
3. Osintsev, N., Rakhmangulov, A., Sładkowski, A., Dyorina, N. Logistic Flow Control System in Green Supply Chains. Lecture Notes in Networks and Systems, 2020, Vol. 124, pp. 311–380. DOI: 10.1007/978-3-030-42323-0_6.
4. Fredriksson, A., Janné, M., Nolz, P. C., Chennevière, Ph., van Lier, T., Macharis, C. Creating stakeholder awareness in construction logistics by means of the MAMCA. City and Environment Interactions, 2021, Iss. 11, pp. 100067. DOI: 10.1016/j.cacint.2021.100067.
5. Rakhmangulov, A. N., Kornilov, S. N., Aleksandrin, D. V., Shevkunov, N. O. Multi-criteria model for the development of industrial logistics. 15th International Conference on Industrial Manufacturing and Metallurgy. IOP Conference Series: Materials Science and Engineering, 2020, Iss. 966, pp. 12103. DOI: 10.1088/1757-899X/966/1/012103.
6. Roy, B. Multicriteria Methodology for Decision Aiding. Boston, MA: Springer US. Series Nonconvex Optimization and Its Applications, 1996, Vol. 12, 292 p. DOI: https://doi.org/10.1007/978-1-4757-2500-1.
7. Doukas, H., Nikas, A. Decision Support Models in Climate Policy. European Journal of Operational Research, 2019, Vol. 280, Iss. 1, pp. 1–24. DOI: 10.1016/j.ejor.2019.01.017.
8. Zavadskas, E. K., Turskis, Z. Multiple criteria decision making (MCDM) methods in economics: an overview. Technological and Economic Development of Economy, 2011, Vol. 17, Iss. 2, pp. 397–427. DOI: 10.3846/20294913.2011.593291.
9. Stojčić, M., Zavadskas, E., Pamučar, D., Stević, Ž., Mardani, A. Application of MCDM Methods in Sustainability Engineering: A Literature Review 2008–2018. Symmetry, 2019, Vol. 11, Iss. 3, p. 350. DOI: 10.3390/sym11030350.
10. Multiple Criteria Decision Making in Supply Chain Management. Ed. by A. R. Ravindran, Boca Raton: CRC Press, 2016, Vol. 12, 379 p. DOI: https://doi.org/10.1201/9781315371450.
11. Beck, P., Hofmann, E. Multiple criteria decision making in supply chain management – Currently available methods and possibilities for future research. Die Unternehmung, 2012, Vol. 66, Iss. 2, pp. 182–217. DOI: 10.5771/0042-059X-2012-2-180.
12. Khan, S. A., Chaabane, A., Dweiri, F. T. MultiCriteria Decision-Making Methods Application in Supply Chain Management: A Systematic Literature Review. InTechOpen, 2018, 31 p. DOI: 10.5772/intechopen.74067.
13. Mardani, A., Zavadskas, E. K., Khalifah, Z., Zakuan, N., Jusoh, A., Nor, K. M., Khoshnoudi, M. A review of multi-criteria decision-making applications to solve energy management problems: Two decades from 1995 to 2015. Renewable and Sustainable Energy Reviews, 2017, Iss. 71, pp. 216–256. DOI: 10.1016/J.RSER.2016.12.053.
14. Rezaei, J. A Systematic Review of Multi-criteria Decision-making Applications in Reverse Logistics. Transportation Research Procedia, 2015, Iss. 10, pp. 766– 776. DOI: 10.1016/j.trpro.2015.09.030.
15. Chowdhury, P., Paul, S. K. Applications of MCDM methods in research on corporate sustainability: A systematic literature review. Management of Environmental Quality: An International Journal, 2020, Vol. 31, Iss. 2, pp. 385–405. DOI: 10.1108/MEQ-12-2019-0284.
16. Macharis, C., Bernardini, A. Reviewing the use of Multi-Criteria Decision Analysis for the evaluation of transport projects: Time for a multi-actor approach. Transport Policy, 2015, Vol. 37, Iss. 1, pp. 177–186. DOI: 10.1016/j.tranpol.2014.11.002.
17. Mardani, A., Zavadskas, E. K., Khalifah, Z., Jusoh, A., Nor, K. M. Multiple criteria decision-making techniques in transportation systems: A systematic review of the state of the art literature. Transport, 2016, Vol. 31, Iss. 3, pp. 359–385. DOI: https://doi.org/10.3846/16484142.2015.1121517.
18. Wątróbski, J. Outline of multicriteria decisionmaking in green logistics. Transportation Research Procedia, 2016, Vol. 16, pp. 537–552. DOI: 10.1016/j.trpro.2016.11.051.
19. De Oliveira, U. R., Espindola, L. S., Da Silva, I. R., Da Silva, I. N., Rocha, H. M. A systematic literature review on green supply chain management: research implications and future perspectives. Journal of Cleaner Production, 2018, Vol. 187, pp. 537–561. DOI: 10.1016/j.jclepro.2018.03.083.
20. Zhang, L.-J.; Liu, R.; Liu, H.-C.; Shi, H. Green supplier evaluation and selections: a state-of-the-art literature review of models, methods, and applications. Mathematical Problems in Engineering, 2020, Iss. 4, pp. 1–25.
21. Hwang, Ching-Lai; Masud, Abu Syed Md. Multiple Objective Decision Making – Methods and Applications: A State-of-the-Art Survey. Berlin, Heidelberg, Springer, 1979, 354 p. ISBN 978-3-642-45511-7. [Electronic resource]: https://link.springer.com/content/pdf/bfm%3A978-3-642-45511-7%2F1.pdf. Last accessed 06.07.2021.
22. Hwang, Ching-Lai; Yoon, Kwangsun. Multiple Attribute Decision Making: Methods and Applications. A State-of-the-Art Survey. Berlin, Heidelberg, Springer, 1981, 262 p. ISBN 978-3-642-48318-9. [Electronic resource]: https://link.springer.com/content/pdf/bfm%3A978-3-642-48318-9%2F1.pdf. Last accessed 06.07.2021.
23. Multiple-Criteria Decision Making (MCDM) Techniques for Business Processes Information Management. Ed. by E. K. Zavadskas, J. Antucheviciene, P. Chatterjee. Basel, MDPI, 2019, 322 p. ISBN 978-3-03897-642-4. DOI: 10.3390/books978-3-03897-643-1.
24. Zardari, N. H., Ahmed, K., Shirazi, S. M., Yusop, Z. B. Methods and their Effects on Multi-Criteria Decision Making Model Outcomes in Water Resources Management. Weighting Cham, Springer International Publishing, 2015, 166 p. DOI: 10.1007/978-3-319-12586-2.
25. Guitouni, A., Martel, J.-M. Tentative guidelines to help choosing an appropriate MCDA method. European Journal of Operational Research, 1998, Vol. 109, Iss. 2, pp. 501–521. [Electronic resource]: https://ideas.repec.org/a/eee/ejores/v109y1998i2p501-521.html#download. Last accessed 06.07.2021.
26. Valipour, A., Sarvari, H., Tamošaitiene, J. Risk Assessment in PPP Projects by Applying Different MCDM Methods and Comparative Results Analysis. Administrative Sciences, 2018, Vol. 8, Iss. 4, p. 80. DOI: 10.3390/admsci8040080.
27. Wątróbski, J., Jankowski, J., Ziemba, P., Karczmarczyk, A., Zioło, M. Generalised framework for multi-criteria method selection. Omega, 2019, Vol. 86, Iss. 1, pp. 107–124. [Electronic resource]: https://ideas.repec.org/a/eee/jomega/v86y2019icp107-124.html#download. Last accessed 06.07.2021.
28. Banasik, A., Bloemhof-Ruwaard, J. M., Kanellopoulos, A., Claassen, G. D. H., van der Vorst, J. G. A. J. Multi-criteria decision making approaches for green supply chains: a review. Flexible Services and Manufacturing Journal, 2018, Vol. 30, Iss. 3, pp. 366–396. [Electronic resource]: https://ideas.repec.org/a/spr/flsman/v30y2018i3d10.1007_s10696-016-9263-5.html#download. Last accessed 06.07.2021.
29. Macharis, C., De Witte, A., Turcksin, L. The MultiActor Multi-Criteria Analysis (MAMCA) application in the Flemish long-term decision making process on mobility and logistics. Transport Policy, 2010, Vol. 17, Iss. 5, pp. 303–311. [Electronic resource]: https://ideas.repec.org/a/eee/trapol/v17y2010i5p303-311.html#download. Last accessed 06.07.2021.
30. Rakhmangulov, A., Sładkowski, A., Osintsev, N., Muravev, D. Green logistics: A system of methods and instruments. Part 2. Naše more, 2018, Vol. 65, Iss. 1, pp. 49–55. [Electronic resource]: https://www.nasemore.com/wp-content/uploads/2018/04/7_Rakhmangulov_Sladkowski_Osintsev_Muravev.pdf. Last accessed 06.07.2021.
31. Osintsev N. Concept of the management system of logistics flows in «green» supply chains [Kontseptsiya sistemy upravleniya logisticheskikimi potokami v «zelenykh» tsepyakh postavok]. Bulletin of Ural State Transport University, 2020, Iss. 2, pp. 81–92. DOI: 10.20291/2079-0392-2020-2-81-92.
32. Osintsev N., Rakhmangulov A., Sladkovsky A. Ranging of «green» logistics tools using the combined Fuzzy AHP-TOPSIS method [Ranzhirovanie instrumentov «zelenoi» logistiki kombinirovannym metodom Fuzzy AHPTOPSIS]. Transport Urala, 2020, Vol. 64, Iss. 1, pp. 3–14. DOI: 10.20291/1815-9400-2020-1-3-14.
33. Churchman, C. W., Ackoff, R. L. An Approximate Measure of Value. Journal of the Operations Research Society of America, 1954, Vol. 2, Iss. 2, pp. 172–187. [Electronic resource]: https://ideas.repec.org/a/inm/oropre/v2y1954i2p172-187.html#download.
34. Last accessed 06.07.2021. 34. Brans, J. P., Vincke, P. Note – a preference ranking organization method. Management Science, 1985, Vol. 31, Iss. 6, pp. 647–656. [Electronic resource]: https://ideas.repec.org/a/inm/ormnsc/v31y1985i6p647-656.html#download. Last accessed 06.07.2021.
35. Zavadskas, E. K., Kaklauskas, A., Sarka, V. The new method of multicriteria complex proportional assessment of projects. Technological and Economic Development of Economy, 1994, Vol. 1, Iss. 3, pp. 131–139. [Electronic resource]: https://www.researchgate.net/profile/ArturasKaklauskas/publication/285902199_The_new_method_of_multicriteria_complex_proportional_assessment_of_projects/links/6076cdaea020ab5f21733a0b/The-newmethod-of-multicriteria-complex-proportional-assessmentof-projects.pdf. Last accessed 06.07.2021.
36. Zavadskas, E. K., Turskis, Z. A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technological and Economic Development of Economy, 2010, Vol. 16, Iss. 2, pp. 159–172. DOI: 10.3846/tede.2010.10.
37. Zavadskas, E. K., Turskis, Z., Antucheviciene, J. Optimization of Weighted Aggregated Sum Product Assessment. Electronics and Electrical Engineering, 2012, Vol. 122, Iss. 6, pp. 3–6. DOI: 10.5755/j01.eee.122.6.1810.
38. Pamučar, D., Vasin, L., Lukovac, V. Selection of railway level crossing for investing in security equipment using hybrid DEMATEL-MAIRCA: Application of a new method of multi-criteria decision-making. 16th ScientificExpert Conference on Railways, RAILCON 2014. Bane, Faculty of Mechanical Engineering, pp. 89–92. DOI: 10.13140/2.1.2707.6807.
39. Keshavarz-Ghorabaee, M., Zavadskas, E. K., Olfat, L., Turskis, Z. Multi-Criteria Inventory Classification Using a New Method of Evaluation Based on Distance from Average Solution (EDAS). Informatica, 2015, Vol. 26, Iss. 3, pp. 435–451. DOI: 10.15388/Informatica.2015.57.
40. Pamučar, D., Ćirović, G. The selection of transport and handling resources in logistics centers using multiattributive border approximation area comparison (MABAC). Expert Systems with Applications, 2015, Vol. 42, Iss. 6, pp. 3016–3028. DOI: 10.1016/j.eswa.2014.11.057.
41. Keshavarz-Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. A New Combinative DistanceBased Assessment (Codas) Method for Multi-Criteria Decision-Making. Economic Computation & Economic Cybernetics Studies & Research, 2016, Vol. 50, Iss. 3, pp. 25–44. [Electronic resource]: https://ideas.repec.org/a/cys/ecocyb/v50y2016i3p25-44.html#download. Last accessed 06.07.2021.
42. Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P. Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to compromise solution (MARCOS). Computers & Industrial Engineering, 2020, pp. 106231. DOI: 10.1016/j.cie.2019.106231.
43. Conover, W. J. Practical nonparametric statistics. Ed. 3rd. New York, Chichester, John Wiley, 1999, 608 p. ISBN 978-0-471-16068-7.
44. Aytekin, A. Comparative Analysis of the Normalization Techniques in the Context of MCDM Problems. Decision Making: Applications in Management and Engineering, 2021, Vol. 4, Iss. 2, pp. 1–25. DOI: 10.31181/dmame210402001a.
45. Zavadskas, E. K., Turskis, Z., Kildienė, S. State of art surveys of overviews on MCDM/MADM methods. Technological and Economic Development of Economy, 2014 , Vo l. 20, Iss. 1, pp. 165–179. DOI: 10.3846/20294913.2014.892037.
Review
For citations:
Osintsev N.A. Multi-Criteria Decision-Making Methods in Green Logistics. World of Transport and Transportation. 2021;19(5):105-114. https://doi.org/10.30932/1992-3252-2021-19-5-13