Yıl 2024,
Cilt: 8 Sayı: 2, 442 - 458, 31.12.2024
Elif Kılıç Delice
,
Elif Akviran
Kaynakça
- Adali, E.A., Öztaş, G.Z., Öztaş, T. & Tuş, A. (2022). Assessment of European Cities from a Smartness Perspective:
An Integrated Grey MCDM Approach. Sustainable Cities and Society. 84, 104021.
https://doi.org/10.1016/j.scs.2022.104021
- Ali, T., Sunny, M.R., Aghaloo, K. & Wang, K. (2024). Planning off-grid hybrid energy system using technoeconomic
optimization and wins in league theory-based multi-criteria decision-making method in the wetland
areas of developing countries. Energy Conversion and Management, 313, 118587.
https://doi.org/10.1016/j.enconman.2024.118587
- Ayan, B., Abacıoğlu, S. & Basilio, MP. A. (2023). A Comprehensive Review of the Novel Weighting Methods
for Multi-Criteria Decision-Making. Information, 14(5), 285. https://doi.org/10.3390/info14050285
- Ayçin, E. (2023). Çok Kriterli Karar Problemlerinde LBWA Yöntemi İle Kriterlerin Önem Ağırlıklarının
Hesaplanmasına Yönelik Bir Uygulama: LBWA-Solver, İktısadı ve İdarı Bilimlerde Uluslararası Araştırma ve
Değerlendirmeler, Serüven Yayınevi, 83-93.
https://www.seruvenyayinevi.com/Webkontrol/uploads/Fck/iktisat1aralik2023_2.pdf
Ayough, A., Shargh, SB. & Khorshidvand, B. (2023). A new integrated approach based on base-criterion and
utility additive methods and its application to supplier selection problem. Expert Systems with Applications, 221,
119740. https://doi.org/10.1016/j.eswa.2023.119740
- Ayrım, Y., & Can, G. F. (2017). Risk değerlendirmesinde crıtıc metodu ile sektörlerin karşılaştırması. Journal of
Turkish Operations Management, 1(1), 67-78.
- Aytekin, A., Korucuk, S., Bedirhanoğlu, Ş.B. & Vladimir, S. (2024) Selecting the ideal sustainable green strategy
for logistics companies using a T-spherical fuzzy-based methodology, Engineering Applications of Artificial
Intelligence, 127, 107347. https://doi.org/10.1016/j.engappai.2023.107347
- Bayram, E. (2022). Talep yönetiminde üretim önceliğinin belirlenmesi için çok kriterli karar verme tabanlı
bütünleşik bir yaklaşım (Master’s Thesis). Atatürk Universty, Erzurum. Retrieved from:
https://tez.yok.gov.tr/UlusalTezMerkezi/tezDetay.jsp?id=NvNxiLfiIIp4n6IHVihaJA&no=M1kRqLG7j_tLf9e0K
ruXjA
- Biswas, S. and Pamučar, D. (2020). Facility Location Selection for B-Schools in Indian Context: A Multi-Criteria
Group Decision Based Analysis. Axioms, 9 (3): 77. https://doi.org/10.3390/axioms9030077
- Biswas, S., Pamučar, D., Božanic, D. & Halder, B. (2022a). A New Spherical Fuzzy LBWA-MULTIMOOSRAL
Framework: Application in Evaluation of Leanness of MSMEs in India. Mathematical Problems in Engineering,
1–17. https://doi.org/10.1155/2022/5480848
- Biswas, S., Pamučar, D. & Mukhopadhyaya, J.N. (2022b). A Multi-Criteria-Based Analytical Study of the Impact
of COVID-19 on ELSS Fund Performance. International Journal of Management and Decision Making, 21, 339–
378. https://doi.org/10.1504/IJMDM.2022.10048438
Božanic, D., Jurišic, D. & Erkic, D. (2020a). LBWA–Z-MAIRCA Model Supporting Decision Making in the
Army. Operational Research in Engineering Sciences: Theory and Applications, 3, 87–110.
https://doi.org/10.31181/oresta2003087b
- Božanić, D., Ranđelović, A., Radovanović & Tešić, M. D. (2020b). A hybrid LBWA- IR-MAIRCA multi-criteria
decision-making model for determination of constructive elements of weapons. Facta Universitatis-Series
Mechanical Engineering, 18 (3), 399-418. https://doi.org/10.22190/FUME200528033B
Çelikyay, S. (2002). Çok amaçlı savaş uçağı seçiminde çok ölçütlü karar verme yöntemlerinin uygulanması
(Yüksek Lisans Tezi). Erişim adresi: https://tez.yok.gov.tr/UlusalTezMerkezi/tezSorguSonucYeni.jsp
Das, M.C., Sarkar, B. & Ray, S. (2013). On the performance of Indian technical institutions: a combined SOWIAMOORA
approach. OPSEARCH, 50(3), 319–333. https://doi.org/10.1007/s12597-012-0116-z
- Demir, G. (2020). LBWA Method. Çok Kriterli Karar Verme Problemlerinde Kriter Ağırlıklandırma Yöntemleri,
Nobel Yayınevi, Ankara, 137-158.
- Diakoulaki, D., Mavrotas, G. & Papayannakis, L. (1995). Determining objective weights in multiple criteria
problems: The CRITIC method. Computers & Operations Research, 22(7), 763-770. https://doi.org/10.1016/0305-
0548(94)00059-H
Ecer, F. (2020). Çok Kriterli Karar Verme Geçmişten Günümüze Kapsamlı Bir Yaklaşım. Seçkin Yayıncılık,
Ankara.
Ecer, F., Pamučar, D., Mardani, A. &Alrasheedi, M. (2021). Assessment of Renewable Energy Resources Using
New Interval Rough Number Extension of the Level Based Weight Assessment and Combinative Distance-Based
Assessment. Renew Energy, 170, 1156–1177. https://doi.org/10.1016/j.renene.2021.02.004
- Erdogan, M. & Ayyildiz, E. (2022). Comparison of hospital service performances under COVID-19 pandemics
for pilot regions with low vaccination rates, Expert Systems with Applications, 206, 117773.
https://doi.org/10.1016/j.eswa.2022.117773
Farid, H.M.A., Miletic, S.D., Riaz, M., Simic, V. & Pamučar, D. (2024). Prioritization of sustainable approaches
for smart waste management of automotive fuel cells of road freight vehicles using the q-rung orthopair fuzzy
CRITIC-EDAS method. Information Sciences, 661, 120162. https://doi.org/10.1016/j.ins.2024.120162
- Görçün, Ö.F. & Küçükönder, H. (2021). An integrated MCDM approach for evaluating the Ro-Ro marine port
selection process: a case study in black sea region, Australian Journal of Maritime & Ocean Affairs, 13(3), 203-
223. https://doi.org/10.1080/18366503.2021.1878872
- Gupta, S., Kushwaha, P.S., Badhera, U. & Singh, R.K. (2024). Managing tourism and hospitality industry during
pandemic: analysis of challenges and strategies for survival, Benchmarking: An International Journal, early
access https://doi.org/10.1108/BIJ-11-2023-0806
- Hristov, N., Pamučar, D. & Amine, M. (2021). Application of a D Number Based LBWA Model and an Interval
MABAC Model in Selection of an Automatic Cannon for Integration into Combat Vehicles. Defence Science
Journal, 71 (1), 34–45. https://doi.org/10.14429/dsj.71.15738
- Jakovljevic, V., Zizovic, M., Pamučar, D., Stevic, Ž. & Albijanic, M. (2021). Evaluation of Human Resources in
Transportation Companies Using Multi-Criteria Model for Ranking Alternatives by Defining Relations between
Ideal and Anti-Ideal Alternative (RADERIA). Mathematics, 9 (9), 976. https://doi.org/10.3390/math9090976
- Keskin, Z.B, & Delice E.K., (2023). Determining the effectiveness of countries in combating pandemics: COVID-
19 case. RAIRO Operations Research,57, 2151–2176. https://doi.org/10.1051/ro/2023077
Krishnan, AR. (2024).Research trends in criteria importance through intercriteria correlation (CRITIC) method: a
visual analysis of bibliographic data using the Tableau software, Information Discovery And Delivery, early access.
https://doi.org/10.1108/idd-02-2024-0030
- Korucuk, S., Aytekin, A., Ecer, F., Pamučar, D.S.S. & Karamaşa, Ç. (2022). Assessment of Ideal Smart Network
Strategies for Logistics Companies Using an Integrated Picture Fuzzy LBWA–CoCoSo Framework. Management
- Decision, 61, 1434–1462. https://doi.org/10.1108/MD-12-2021-1621
Kumari, M., & Kulkarni, M. S. (2019).Single-Measure and Multi-Measure Approach of Predictive Manufacturing
Control: A Comparative Study. Computers & Industrial Engineering, 127, 182–195.
https://doi.org/10.1016/j.cie.2018.12.018
- Li, Y., Su, D.A. & Mardani, A., (2023). Digital twins and blockchain technology in the industrial Internet of Things
(IIoT) using an extended decision support system model: Industry 4.0 barriers perspective, Technological
Forecasting and Social Change, 195, 122794. https://doi.org/10.1016/j.techfore.2023.122794
- Mishra, A. R., Rani, Pratibha Ravi Sundar Prajapati (2021a). Multi-criteria weighted aggregated sum product
assessment method for sustainable biomass crop selection problem using single-valued neutrosophic sets, Applied
Soft Computing, 113, 108038. https://doi.org/10.1016/j.asoc.2021.108038
- Mishra, AR, Rani, P & Saha, A. (2021b). Single-valued neutrosophic similarity measure-based additive ratio
assessment framework for optimal site selection of electric vehicle charging station, Internatıonal Journal of
Intelligent System, 36 (10), 5573-5604. https://doi.org/10.1002/int.22523
- Narayanamoorthy, S., Annapoorani, V., Kang, D., Baleanu, D., Jeon, J., Kureethara, J.V. & Ramya, L. (2020). A
novel assessment of bio-medical waste disposal methods using integrating weighting approach and hesitant fuzzy
MOOSRA, Journal of Cleaner Production, 275, 122587. https://doi.org/10.1016/j.jclepro.2020.122587
- Narayanamoorthy, S., Brainy, J.V., Shalwala, R.A., Alsenani, T.R., Ahmadian, A. & Daekook K., (2023). An
enhanced fuzzy decision making approach for the assessment of sustainable energy storage systems. Sustainable
Energy, Grids and Networks, 33, 100962. https://doi.org/10.1016/j.segan.2022.100962
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ülkelerin karşılaştırılması (Master’s Thesis). Marmara Universty, İstanbul. Retrieved from:
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wXNhSjuE-DyWw
- Ögel, İ.Y., Ecer, F. & Özgöz, A.A. (2022). Identifying the Leading Retailer-Based Food Waste Causes in Different
Perishable Fast-Moving Consumer Goods’ Categories: Application of the F-LBWA Methodology. Environmental
Science and Pollution Research, 30, 32656–32672. https: //doi.org/10.1007/s11356-022-24500-9
- Pamučar, D., Žižović, M., Marinković, D., Doljanica, D., Jovanović, SV. & Brzaković P. (2020). Development of
a Multi-Criteria Model for Sustainable Reorganization of a Healthcare System in an Emergency Situation Caused
by the COVID-19 Pandemic. Sustainability, 12(18),7504. https://doi.org/10.3390/su12187504
- Pamučar, D., Behzad, M. , Božanić, D. & Behzad, M. (2021). Decision making to support sustainable energy
policies corresponding to agriculture sector: Case study in Iran’s Caspian Sea coastline. Journal of Cleaner
Production, 292, 125302. https://doi.org/10.1016/j.jclepro.2020.125302
- Pamučar, D. & Görçün, Ö.F. (2022). Evaluation of the European Container Ports Using a New Hybrid Fuzzy
LBWA-CoCoSo’B Techniques. Expert Systems with Applications, 203, 117463.
https://doi.org/10.1016/j.eswa.2022.117463
- Pamučar, D., Gokasar, I., Torkayesh, A.E., Deveci, M., Martínez, L. & Wu, Q. (2023). Prioritization of Unmanned
Aerial Vehicles in Transportation Systems Using the Integrated Stratified Fuzzy Rough Decision-Making
Approach with the Hamacher Operator. Information Sciences, 622, 374–404.
https://doi.org/10.1016/j.ins.2022.11.143
- Peng, X. & Huang, H. (2020). Fuzzy decision making method based on CoCoSo with CRITIC for financial risk
evaluation. Technological and Economic Development of Economy, 26 (6),1199-1215.
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multiattribute decision making method. Energies, 13(12),3120. https://doi.org/10.3390/en13123120
- Razzaq, A., Riaz, M. & Aslam, M. (2024). Efficient picture fuzzy soft CRITIC-CoCoSo framework for supplier
selection under uncertainties in Industry 4.0. AIMS Mathematics, 9(1), 665-701.
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- Shang, C., Saeidi, P. & Goh, C.F. (2022), “Evaluation of circular supply chains barriers in the era of industry 4.0
transition using an extended decision-making approach”, Journal of Enterprise Information Management, Vol. 35
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sustainable production and consumption in the food sector: A circular economy perspective. Sustainable
Production And Consumption, 39, 203-215. https://doi.org/10.1016/j.spc.2023.04.002
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integrated multi-criteria decision making approach. Sustainable Development, 27:50–60.
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Framework for Evaluation of Healthcare Sectors in Eastern Europe. Socio-Economic Planning Sciences, 78,
101052. https://doi.org/10.1016/j.seps.2021.101052
- Torkayesh, A. E. & Torkayesh, S. E., (2021). Evaluation of information and communication technology
development in G7 countries: An integrated MCDM approach. Technology in Society, 66, 101670.
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değerlendirme: demiryolu sektöründe bir uygulama. Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık
Fakültesi Dergisi, 30(3),412-430. https://doi.org/10.31796/ogummf.1068384
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barriers to the digital transformation in the energy sector using the Fermatean cubic fuzzy method. Applied Energy,
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linguistic multiple attribute group decision making based on the GRA and CRITIC method: application to location
planning of electric vehicle charging stations. Economic Research-Ekonomska Istraživanja, 33(1), 828–846.
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Selection Model under Uncertainty. Operations Management Research, 15, 116–145.
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(LBWA) model. Decision Making: Applications in Management and Engineering, 2(2), 1-20.
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International Journal of Scientific & Technology Research, 7(3), 44-54. Corpus ID: 116022924
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probabilistic linguistic integrated EDAS method. Granular Computing, 9, 27. https://doi.org/10.1007/s41066-
024-00453-x
Zhu, L., Lei,G. & Gao, J. (2023). Research
A New Integrated Criteria Weighting Approach for Determining Production Priority in Demand Management
Yıl 2024,
Cilt: 8 Sayı: 2, 442 - 458, 31.12.2024
Elif Kılıç Delice
,
Elif Akviran
Öz
In the demand management process; it is tried to balance the customers' needs with the company's supply possibilities. Effective demand management starts with effective stock control and tracking of customer orders and ends with customer satisfaction. Correctly determining production priorities is one of the ways to increase customer satisfaction. In this context, a new approach has been developed to determine the production priority needed in the demand management process. A new integrated approach based on Multi-Criteria Decision Making (MCDM) is proposed to determine production priorities. In the first stage of this three-stage approach, customer alternatives are determined. In the second stage, production priority criteria are determined depending on customer characteristics. In the third stage; with LBWA (Level Based Weight Assessment) and CRITIC (The Criteria Importance Through Intercriteria Correlation) methods, objective and subjective criterion weights are calculated by considering expert opinions and real data. Then, integrated criterion weights are determined with the SOWIA (Subjective and Objective Weight Integrated Approach) method using objective and subjective criterion weights. In the literature; few studies determine production priority using the MCDM method. Additionally, no study has been found in the literature in which quantitative and qualitative methods are used integrated in the ceramic industry. Therefore, it is thought that this study will contribute to the literature.
Teşekkür
SEMIT 2023 kongresi tarafından yönlendirilmiş makaledir.
Kaynakça
- Adali, E.A., Öztaş, G.Z., Öztaş, T. & Tuş, A. (2022). Assessment of European Cities from a Smartness Perspective:
An Integrated Grey MCDM Approach. Sustainable Cities and Society. 84, 104021.
https://doi.org/10.1016/j.scs.2022.104021
- Ali, T., Sunny, M.R., Aghaloo, K. & Wang, K. (2024). Planning off-grid hybrid energy system using technoeconomic
optimization and wins in league theory-based multi-criteria decision-making method in the wetland
areas of developing countries. Energy Conversion and Management, 313, 118587.
https://doi.org/10.1016/j.enconman.2024.118587
- Ayan, B., Abacıoğlu, S. & Basilio, MP. A. (2023). A Comprehensive Review of the Novel Weighting Methods
for Multi-Criteria Decision-Making. Information, 14(5), 285. https://doi.org/10.3390/info14050285
- Ayçin, E. (2023). Çok Kriterli Karar Problemlerinde LBWA Yöntemi İle Kriterlerin Önem Ağırlıklarının
Hesaplanmasına Yönelik Bir Uygulama: LBWA-Solver, İktısadı ve İdarı Bilimlerde Uluslararası Araştırma ve
Değerlendirmeler, Serüven Yayınevi, 83-93.
https://www.seruvenyayinevi.com/Webkontrol/uploads/Fck/iktisat1aralik2023_2.pdf
Ayough, A., Shargh, SB. & Khorshidvand, B. (2023). A new integrated approach based on base-criterion and
utility additive methods and its application to supplier selection problem. Expert Systems with Applications, 221,
119740. https://doi.org/10.1016/j.eswa.2023.119740
- Ayrım, Y., & Can, G. F. (2017). Risk değerlendirmesinde crıtıc metodu ile sektörlerin karşılaştırması. Journal of
Turkish Operations Management, 1(1), 67-78.
- Aytekin, A., Korucuk, S., Bedirhanoğlu, Ş.B. & Vladimir, S. (2024) Selecting the ideal sustainable green strategy
for logistics companies using a T-spherical fuzzy-based methodology, Engineering Applications of Artificial
Intelligence, 127, 107347. https://doi.org/10.1016/j.engappai.2023.107347
- Bayram, E. (2022). Talep yönetiminde üretim önceliğinin belirlenmesi için çok kriterli karar verme tabanlı
bütünleşik bir yaklaşım (Master’s Thesis). Atatürk Universty, Erzurum. Retrieved from:
https://tez.yok.gov.tr/UlusalTezMerkezi/tezDetay.jsp?id=NvNxiLfiIIp4n6IHVihaJA&no=M1kRqLG7j_tLf9e0K
ruXjA
- Biswas, S. and Pamučar, D. (2020). Facility Location Selection for B-Schools in Indian Context: A Multi-Criteria
Group Decision Based Analysis. Axioms, 9 (3): 77. https://doi.org/10.3390/axioms9030077
- Biswas, S., Pamučar, D., Božanic, D. & Halder, B. (2022a). A New Spherical Fuzzy LBWA-MULTIMOOSRAL
Framework: Application in Evaluation of Leanness of MSMEs in India. Mathematical Problems in Engineering,
1–17. https://doi.org/10.1155/2022/5480848
- Biswas, S., Pamučar, D. & Mukhopadhyaya, J.N. (2022b). A Multi-Criteria-Based Analytical Study of the Impact
of COVID-19 on ELSS Fund Performance. International Journal of Management and Decision Making, 21, 339–
378. https://doi.org/10.1504/IJMDM.2022.10048438
Božanic, D., Jurišic, D. & Erkic, D. (2020a). LBWA–Z-MAIRCA Model Supporting Decision Making in the
Army. Operational Research in Engineering Sciences: Theory and Applications, 3, 87–110.
https://doi.org/10.31181/oresta2003087b
- Božanić, D., Ranđelović, A., Radovanović & Tešić, M. D. (2020b). A hybrid LBWA- IR-MAIRCA multi-criteria
decision-making model for determination of constructive elements of weapons. Facta Universitatis-Series
Mechanical Engineering, 18 (3), 399-418. https://doi.org/10.22190/FUME200528033B
Çelikyay, S. (2002). Çok amaçlı savaş uçağı seçiminde çok ölçütlü karar verme yöntemlerinin uygulanması
(Yüksek Lisans Tezi). Erişim adresi: https://tez.yok.gov.tr/UlusalTezMerkezi/tezSorguSonucYeni.jsp
Das, M.C., Sarkar, B. & Ray, S. (2013). On the performance of Indian technical institutions: a combined SOWIAMOORA
approach. OPSEARCH, 50(3), 319–333. https://doi.org/10.1007/s12597-012-0116-z
- Demir, G. (2020). LBWA Method. Çok Kriterli Karar Verme Problemlerinde Kriter Ağırlıklandırma Yöntemleri,
Nobel Yayınevi, Ankara, 137-158.
- Diakoulaki, D., Mavrotas, G. & Papayannakis, L. (1995). Determining objective weights in multiple criteria
problems: The CRITIC method. Computers & Operations Research, 22(7), 763-770. https://doi.org/10.1016/0305-
0548(94)00059-H
Ecer, F. (2020). Çok Kriterli Karar Verme Geçmişten Günümüze Kapsamlı Bir Yaklaşım. Seçkin Yayıncılık,
Ankara.
Ecer, F., Pamučar, D., Mardani, A. &Alrasheedi, M. (2021). Assessment of Renewable Energy Resources Using
New Interval Rough Number Extension of the Level Based Weight Assessment and Combinative Distance-Based
Assessment. Renew Energy, 170, 1156–1177. https://doi.org/10.1016/j.renene.2021.02.004
- Erdogan, M. & Ayyildiz, E. (2022). Comparison of hospital service performances under COVID-19 pandemics
for pilot regions with low vaccination rates, Expert Systems with Applications, 206, 117773.
https://doi.org/10.1016/j.eswa.2022.117773
Farid, H.M.A., Miletic, S.D., Riaz, M., Simic, V. & Pamučar, D. (2024). Prioritization of sustainable approaches
for smart waste management of automotive fuel cells of road freight vehicles using the q-rung orthopair fuzzy
CRITIC-EDAS method. Information Sciences, 661, 120162. https://doi.org/10.1016/j.ins.2024.120162
- Görçün, Ö.F. & Küçükönder, H. (2021). An integrated MCDM approach for evaluating the Ro-Ro marine port
selection process: a case study in black sea region, Australian Journal of Maritime & Ocean Affairs, 13(3), 203-
223. https://doi.org/10.1080/18366503.2021.1878872
- Gupta, S., Kushwaha, P.S., Badhera, U. & Singh, R.K. (2024). Managing tourism and hospitality industry during
pandemic: analysis of challenges and strategies for survival, Benchmarking: An International Journal, early
access https://doi.org/10.1108/BIJ-11-2023-0806
- Hristov, N., Pamučar, D. & Amine, M. (2021). Application of a D Number Based LBWA Model and an Interval
MABAC Model in Selection of an Automatic Cannon for Integration into Combat Vehicles. Defence Science
Journal, 71 (1), 34–45. https://doi.org/10.14429/dsj.71.15738
- Jakovljevic, V., Zizovic, M., Pamučar, D., Stevic, Ž. & Albijanic, M. (2021). Evaluation of Human Resources in
Transportation Companies Using Multi-Criteria Model for Ranking Alternatives by Defining Relations between
Ideal and Anti-Ideal Alternative (RADERIA). Mathematics, 9 (9), 976. https://doi.org/10.3390/math9090976
- Keskin, Z.B, & Delice E.K., (2023). Determining the effectiveness of countries in combating pandemics: COVID-
19 case. RAIRO Operations Research,57, 2151–2176. https://doi.org/10.1051/ro/2023077
Krishnan, AR. (2024).Research trends in criteria importance through intercriteria correlation (CRITIC) method: a
visual analysis of bibliographic data using the Tableau software, Information Discovery And Delivery, early access.
https://doi.org/10.1108/idd-02-2024-0030
- Korucuk, S., Aytekin, A., Ecer, F., Pamučar, D.S.S. & Karamaşa, Ç. (2022). Assessment of Ideal Smart Network
Strategies for Logistics Companies Using an Integrated Picture Fuzzy LBWA–CoCoSo Framework. Management
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