A Comprehensive Review of Multiple Criteria Decision-Making (MCDM) Methods: Advancements, Applications, and Future Directions
DOI:
https://doi.org/10.31181/dma1120237Keywords:
MCDM, Fuzzy MCDM, Literature Review, Multi-Objective MethodsAbstract
This research paper presents a comprehensive review of Multiple Criteria Decision-Making (MCDM) methods, encompassing their advancements, applications, and future directions. The study begins with an introduction emphasizing the significance of MCDM in complex decision-making scenarios. Through a systematic literature review, recent developments in MCDM techniques are examined, including multi-objective methods, fuzzy-based approaches, data-driven models, and hybrid methodologies. The strengths and limitations of each method are critically analyzed. Furthermore, the paper investigates the diverse applications of MCDM in domains such as business, engineering, environment, healthcare, and public policy, highlighting the practical implications through real-world case studies. The study then identifies emerging trends and challenges in MCDM research, discussing the integration of MCDM with emerging technologies, enhancing robustness and adaptability, addressing uncertainty, and identifying unexplored domains for potential application. This comprehensive review serves as a valuable resource for decision-makers and researchers, providing insights into the advancements, applications, and future directions of MCDM methods.
Downloads
References
Ananda, J., & Herath, G. (2009). A critical review of multi-criteria decision making methods with special reference to forest management and planning. Ecological economics, 68(10), 2535-2548. https://doi.org/10.1016/j.ecolecon.2009.05.010
Alvarez, P. A., Ishizaka, A., & Martinez, L. (2021). Multiple-criteria decision-making sorting methods: A survey. Expert Systems with Applications, 183, 115368. https://doi.org/10.1016/j.eswa.2021.115368
Khan, S. A. R., Yu, Z., Golpira, H., Sharif, A., & Mardani, A. (2021). A state-of-the-art review and meta-analysis on sustainable supply chain management: Future research directions. Journal of Cleaner Production, 278, 123357. https://doi.org/10.1016/j.jclepro.2020.123357
Goswami, S. S., & Behera, D. K. (2023). Developing Fuzzy-AHP-Integrated Hybrid MCDM System of COPRAS-ARAS for Solving an Industrial Robot Selection Problem. International Journal of Decision Support System Technology, 15(1), 1-38. http://doi.org/10.4018/IJDSST.324599
Zare, M., Pahl, C., Rahnama, H., Nilashi, M., Mardani, A., Ibrahim, O., & Ahmadi, H. (2016). Multi-criteria decision making approach in E-learning: A systematic review and classification. Applied Soft Computing, 45, 108-128. https://doi.org/10.1016/j.asoc.2016.04.020
Hasan, M. G., Ashraf, Z., & Khan, M. F. (2022). Multi‐choice best‐worst multi‐criteria decision‐making method and its applications. International Journal of Intelligent Systems, 37(2), 1129-1156. https://doi.org/10.1002/int.22663
Li, T., Li, A., & Guo, X. (2020). The sustainable development-oriented development and utilization of renewable energy industry-A comprehensive analysis of MCDM methods. Energy, 212, 118694. https://doi.org/10.1016/j.energy.2020.118694
Sahoo, S., & Goswami, S. (2024). Theoretical framework for assessing the economic and environmental impact of water pollution: A detailed study on sustainable development of India. Journal of Future Sustainability, 4(1), 23-34. http://dx.doi.org/10.5267/j.jfs.2024.1.003
Gebre, S. L., Cattrysse, D., Alemayehu, E., & Van Orshoven, J. (2021). Multi-criteria decision making methods to address rural land allocation problems: A systematic review. International Soil and Water Conservation Research, 9(4), 490-501. https://doi.org/10.1016/j.iswcr.2021.04.005
Pelissari, R., Khan, S. A., & Ben-Amor, S. (2022). Application of Multi-Criteria Decision-Making Methods in Sustainable Manufacturing Management: A Systematic Literature Review and Analysis of the Prospects. International Journal of Information Technology & Decision Making, 21(02), 493-515. https://doi.org/10.1142/S0219622021300020
Yenugula, M., Sahoo, S., & Goswami, S. (2024). Cloud computing for sustainable development: An analysis of environmental, economic and social benefits. Journal of Future Sustainability, 4(1), 59-66. http://dx.doi.org/10.5267/j.jfs.2024.1.005
Supriya, Y., & Gadekallu, T. R. (2023). A Survey on Soft Computing Techniques for Federated Learning-Applications, Challenges and Future Directions. ACM Journal of Data and Information Quality. https://doi.org/10.1145/3575810
Vatankhah, S., Darvishmotevali, M., Rahimi, R., Jamali, S. M., & Ale Ebrahim, N. (2023). Assessing the application of multi-criteria decision making techniques in hospitality and tourism research: a bibliometric study. International Journal of Contemporary Hospitality Management. https://doi.org/10.1108/IJCHM-05-2022-0643
Yenugula, M., Sahoo, S., & Goswami, S. (2023). Cloud computing in supply chain management: Exploring the relationship. Management Science Letters, 13(3), 193-210. http://dx.doi.org/10.5267/j.msl.2023.4.003
Goswami, S., & Mitra, S. (2020). Selecting the best mobile model by applying AHP-COPRAS and AHP-ARAS decision making methodology. International Journal of Data and Network Science, 4(1), 27-42. http://dx.doi.org/10.5267/j.ijdns.2019.8.004
Goswami, S. S., & Behera, D. K. (2021). An Analysis for Selecting Best Smartphone Model by AHP-TOPSIS Decision-Making Methodology. International Journal of Service Science, Management, Engineering, and Technology, 12(3), 116-137. http://doi.org/10.4018/IJSSMET.2021050107
Goswami, S. S. (2020). Outranking methods: PROMETHEE I and PROMETHEE II. Foundations of Management, 12(1), 93-110. https://doi.org/10.2478/fman-2020-0008
Mitra, S., & Goswami, S. S. (2019). Application of simple average weighting optimization method in the selection of best desktop computer model. Advanced Journal of Graduate Research, 6(1), 60-68. https://doi.org/10.21467/ajgr.6.1.60-68
Goswami, S. S., Behera, D. K., & Mitra, S. (2020). A comprehensive study of weighted product model for selecting the best product in our daily life. Brazilian Journal of Operations & Production Management, 17(2), 1-18. https://doi.org/10.14488/BJOPM.2020.017
Goswami, S. S., & Behera, D. K. (2021). Evaluation of the best smartphone model in the market by integrating fuzzy-AHP and PROMETHEE decision-making approach. Decision, 48, 71-96. https://doi.org/10.1007/s40622-020-00260-8
Goswami, S. S., Behera, D. K., Afzal, A., Razak Kaladgi, A., Khan, S. A., Rajendran, P., Subbiah, R., & Asif, M. (2021). Analysis of a robot selection problem using two newly developed hybrid MCDM models of TOPSIS-ARAS and COPRAS-ARAS. Symmetry, 13(8), 1331. https://doi.org/10.3390/sym13081331
Sharma, M., & Sehrawat, R. (2020). A hybrid multi-criteria decision-making method for cloud adoption: Evidence from the healthcare sector. Technology in Society, 61, 101258. https://doi.org/10.1016/j.techsoc.2020.101258
Coban, A., Ertis, I. F., & Cavdaroglu, N. A. (2018). Municipal solid waste management via multi-criteria decision making methods: A case study in Istanbul, Turkey. Journal of Cleaner Production, 180, 159-167. https://doi.org/10.1016/j.jclepro.2018.01.130
Agrawal, N. (2022). Multi-criteria decision-making toward supplier selection: Exploration of PROMETHEE II method. Benchmarking: An International Journal, 29(7), 2122-2146. https://doi.org/10.1108/BIJ-02-2021-0071
Cai, Y., Jin, F., Liu, J., Zhou, L., & Tao, Z. (2023). A survey of collaborative decision-making: Bibliometrics, preliminaries, methodologies, applications and future directions. Engineering Applications of Artificial Intelligence, 122, 106064. https://doi.org/10.1016/j.engappai.2023.106064
Liao, H., Wang, J., Tang, M., & Al-Barakati, A. (2023). An Overview of Interval Analysis Techniques and Their Fuzzy Extensions in Multi-Criteria Decision-Making: What’s Going on and What’s Next?. International Journal of Fuzzy Systems, 1-28. https://doi.org/10.1007/s40815-022-01448-z
Erol, I., Ar, I. M., & Peker, I. (2022). Scrutinizing blockchain applicability in sustainable supply chains through an integrated fuzzy multi-criteria decision making framework. Applied Soft Computing, 116, 108331. https://doi.org/10.1016/j.asoc.2021.108331
Sousa, M., Almeida, M. F., & Calili, R. (2021). Multiple criteria decision making for the achievement of the UN sustainable development goals: A systematic literature review and a research agenda. Sustainability, 13(8), 4129. https://doi.org/10.3390/su13084129
Tan, T., Mills, G., Papadonikolaki, E., & Liu, Z. (2021). Combining multi-criteria decision making (MCDM) methods with building information modelling (BIM): A review. Automation in Construction, 121, 103451. https://doi.org/10.1016/j.autcon.2020.103451
Khoso, A. R., Yusof, A. M., Chen, Z. S., Skibniewski, M. J., Chin, K. S., Khahro, S. H., & Sohu, S. (2022). Comprehensive analysis of state-of-the-art contractor selection models in construction environment-A critical review and future call. Socio-Economic Planning Sciences, 79, 101137. https://doi.org/10.1016/j.seps.2021.101137
Khan, S. A., Gupta, H., Gunasekaran, A., Mubarik, M. S., & Lawal, J. (2023). A hybrid multi‐criteria decision‐making approach to evaluate interrelationships and impacts of supply chain performance factors on pharmaceutical industry. Journal of Multi‐Criteria Decision Analysis, 30(1-2), 62-90. https://doi.org/10.1002/mcda.1800
Chauhan, R., Singh, T., Thakur, N. S., Kumar, N., Kumar, R., & Kumar, A. (2018). Heat transfer augmentation in solar thermal collectors using impinging air jets: A comprehensive review. Renewable and Sustainable Energy Reviews, 82, 3179-3190. https://doi.org/10.1016/j.rser.2017.10.025
Liu, H. C., Yang, M., Zhou, M., & Tian, G. (2018). An integrated multi-criteria decision making approach to location planning of electric vehicle charging stations. IEEE Transactions on Intelligent Transportation Systems, 20(1), 362-373. https://doi.org/10.1109/TITS.2018.2815680
Özkan, B., Özceylan, E., Kabak, M., & Dikmen, A. U. (2021). Evaluation of criteria and COVID-19 patients for intensive care unit admission in the era of pandemic: A multi-criteria decision making approach. Computer Methods and Programs in Biomedicine, 209, 106348. https://doi.org/10.1016/j.cmpb.2021.106348
Zhou, J., Wu, Y., Dong, H., Tao, Y., & Xu, C. (2020). Proposal and comprehensive analysis of gas-wind-photovoltaic-hydrogen integrated energy system considering multi-participant interest preference. Journal of Cleaner Production, 265, 121679. https://doi.org/10.1016/j.jclepro.2020.121679
Hariri, A., Domingues, P., & Sampaio, P. (2023). Integration of multi-criteria decision-making approaches adapted for quality function deployment: an analytical literature review and future research agenda. International Journal of Quality & Reliability Management. https://doi.org/10.1108/IJQRM-02-2022-0058
Islam, M. S., Nepal, M. P., Skitmore, M., & Attarzadeh, M. (2017). Current research trends and application areas of fuzzy and hybrid methods to the risk assessment of construction projects. Advanced Engineering Informatics, 33, 112-131. https://doi.org/10.1016/j.aei.2017.06.001
Rezk, H., Mukhametzyanov, I. Z., Abdelkareem, M. A., Salameh, T., Sayed, E. T., Maghrabie, H. M., Radwan, A., Wilberforce, T., Elsaid, K., & Olabi, A. G. (2022). Multi-criteria decision making for different concentrated solar thermal power technologies. Sustainable Energy Technologies and Assessments, 52, 102118. https://doi.org/10.1016/j.seta.2022.102118
Patil, A., Soni, G., Prakash, A., & Karwasra, K. (2022). Maintenance strategy selection: a comprehensive review of current paradigms and solution approaches. International Journal of Quality & Reliability Management, 39(3), 675-703. https://doi.org/10.1108/IJQRM-04-2021-0105
Tey, D. J. Y., Gan, Y. F., Selvachandran, G., Quek, S. G., Smarandache, F., Abdel-Basset, M., & Long, H. V. (2019). A novel neutrosophic data analytic hierarchy process for multi-criteria decision making method: A case study in kuala lumpur stock exchange. IEEE Access, 7, 53687-53697. https://doi.org/10.1109/ACCESS.2019.2912913
Mardani, A., Zavadskas, E. K., Khalifah, Z., Zakuan, N., Jusoh, A., Nor, K. M., & Khoshnoudi, M. (2017). A review of multi-criteria decision-making applications to solve energy management problems: Two decades from 1995 to 2015. Renewable and Sustainable Energy Reviews, 71, 216-256. https://doi.org/10.1016/j.rser.2016.12.053
Zahraee, S. M., Shiwakoti, N., & Stasinopoulos, P. (2020). Biomass supply chain environmental and socio-economic analysis: 40-Years comprehensive review of methods, decision issues, sustainability challenges, and the way forward. Biomass and Bioenergy, 142, 105777. https://doi.org/10.1016/j.biombioe.2020.105777
Kartal, H., Oztekin, A., Gunasekaran, A., & Cebi, F. (2016). An integrated decision analytic framework of machine learning with multi-criteria decision making for multi-attribute inventory classification. Computers & Industrial Engineering, 101, 599-613. https://doi.org/10.1016/j.cie.2016.06.004
Hosouli, S., Elvins, J., Searle, J., Boudjabeur, S., Bowyer, J., & Jewell, E. (2023). A Multi-Criteria decision making (MCDM) methodology for high temperature thermochemical storage material selection using graph theory and matrix approach. Materials & Design, 227, 111685. https://doi.org/10.1016/j.matdes.2023.111685
Agyekum, E. B., Amjad, F., Mohsin, M., & Ansah, M. N. S. (2021). A bird’s eye view of Ghana's renewable energy sector environment: A Multi-Criteria Decision-Making approach. Utilities Policy, 70, 101219. https://doi.org/10.1016/j.jup.2021.101219
Garg, D., Sidhu, J., & Rani, S. (2019). Improved TOPSIS: A multi-criteria decision making for research productivity in cloud security. Computer Standards & Interfaces, 65, 61-78. https://doi.org/10.1016/j.csi.2019.02.002
Castelló-Sirvent, F., & Meneses-Eraso, C. (2022). Research Agenda on Multiple-Criteria Decision-Making: New Academic Debates in Business and Management. Axioms, 11(10), 515. https://doi.org/10.3390/axioms11100515
Alghofaili, Y., & Rassam, M. A. (2022). A trust management model for IoT devices and services based on the multi-criteria decision-making approach and deep long short-term memory technique. Sensors, 22(2), 634. https://doi.org/10.3390/s22020634
Omerali, M., & Kaya, T. (2022). Augmented reality application selection framework using spherical fuzzy COPRAS multi criteria decision making. Cogent Engineering, 9(1), 2020610. https://doi.org/10.1080/23311916.2021.2020610
Jamwal, A., Agrawal, R., Sharma, M., & Giallanza, A. (2021). Industry 4.0 technologies for manufacturing sustainability: A systematic review and future research directions. Applied Sciences, 11(12), 5725. https://doi.org/10.3390/app11125725
Ortiz-Barrios, M., Cabarcas-Reyes, J., Ishizaka, A., Barbati, M., Jaramillo-Rueda, N., & de Jesús Carrascal-Zambrano, G. (2021). A hybrid fuzzy multi-criteria decision making model for selecting a sustainable supplier of forklift filters: A case study from the mining industry. Annals of Operations Research, 307, 443-481. https://doi.org/10.1007/s10479-020-03737-y
Coelho, L. M. G., Lange, L. C., & Coelho, H. M. (2017). Multi-criteria decision making to support waste management: A critical review of current practices and methods. Waste Management & Research, 35(1), 3-28. https://doi.org/10.1177/0734242X16664024
Battaïa, O., & Dolgui, A. (2022). Hybridizations in line balancing problems: A comprehensive review on new trends and formulations. International Journal of Production Economics, 108673. https://doi.org/10.1016/j.ijpe.2022.108673
Yüksel, I. (2012). Developing a multi-criteria decision making model for PESTEL analysis. International Journal of Business and Management, 7(24), 52. https://doi.org/10.5539/ijbm.v7n24p52
Goswami, S. S., Behera, D. K., Mitra, S., Saleel, C. A., Saleh, B., Razak, A., Buradi, A., & Ketema, A. (2022). Development of entropy embedded COPRAS-ARAS hybrid MCDM model for optimizing EDM parameters while machining high carbon chromium steel plate. Advances in Mechanical Engineering, 14(10). https://doi.org/10.1177/16878132221129702
Öztürk, C., & Yildizbaşi, A. (2020). Barriers to implementation of blockchain into supply chain management using an integrated multi-criteria decision-making method: a numerical example. Soft Computing, 24, 14771-14789. https://doi.org/10.1007/s00500-020-04831-w
Goswami, S. S., & Behera, D. K. (2021). Solving material handling equipment selection problems in an industry with the help of entropy integrated COPRAS and ARAS MCDM techniques. Process Integration and Optimization for Sustainability, 5(4), 947-973. https://doi.org/10.1007/s41660-021-00192-5
Alao, M. A., Popoola, O. M., & Ayodele, T. R. (2022). Sustainable prime movers selection for biogas-based combined heat and power for a community microgrid: a hybrid fuzzy multi criteria decision-making approach with consolidated ranking strategies. Energy Conversion and Management: X, 16, 100281. https://doi.org/10.1016/j.ecmx.2022.100281
Sahoo, S. K., Das, A. K., Samanta, S., & Goswami, S. S. (2023). Assessing the Role of Sustainable Development in Mitigating the Issue of Global Warming. Journal of Process Management and New Technologies, 11(1-2), 1-21. https://doi.org/10.5937/jpmnt11-44122
Dhiman, R., Kalbar, P., & Inamdar, A. B. (2018). GIS coupled multiple criteria decision making approach for classifying urban coastal areas in India. Habitat International, 71, 125-134. https://doi.org/10.1016/j.habitatint.2017.12.002
Goswami, S. S., & Behera, D. K. (2021). Best laptop model selection by applying integrated ahp-topsis methodology. International Journal of Project Management and Productivity Assessment, 9(2), 29-47. http://doi.org/10.4018/IJPMPA.2021070102
Nguyen, N. B. T., Lin, G. H., & Dang, T. T. (2021). Fuzzy multi-criteria decision-making approach for online food delivery (OFD) companies evaluation and selection: A case study in Vietnam. Processes, 9(8), 1274. https://doi.org/10.3390/pr9081274
Goswami, S. S., Jena, S., & Behera, D. K. (2022). Selecting the best AISI steel grades and their proper heat treatment process by integrated entropy-TOPSIS decision making techniques. Materials Today: Proceedings, 60, 1130-1139. https://doi.org/10.1016/j.matpr.2022.02.286
Rasheed, J., Jamil, A., Hameed, A. A., Al-Turjman, F., & Rasheed, A. (2021). COVID-19 in the age of artificial intelligence: a comprehensive review. Interdisciplinary Sciences: Computational Life Sciences, 13, 153-175. https://doi.org/10.1007/s12539-021-00431-w
Goswami, S. S., & Behera, D. K. (2021). Implementation of ENTROPY-ARAS decision making methodology in the selection of best engineering materials. Materials Today: Proceedings, 38, 2256-2262. https://doi.org/10.1016/j.matpr.2020.06.320
Dubey, R., Gunasekaran, A., Childe, S. J., Papadopoulos, T., & Wamba, S. F. (2017). World class sustainable supply chain management: Critical review and further research directions. The International Journal of Logistics Management. https://doi.org/10.1108/IJLM-07-2015-0112
Goswami, S. S., Mohanty, S. K., & Behera, D. K. (2022). Selection of a green renewable energy source in India with the help of MEREC integrated PIV MCDM tool. Materials Today: Proceedings, 52, 1153-1160. https://doi.org/10.1016/j.matpr.2021.11.019.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Decision Making Advances
This work is licensed under a Creative Commons Attribution 4.0 International License.
