Araştırma Makalesi
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Yıl 2024, Cilt: 8 Sayı: 2, 442 - 458, 31.12.2024

Öz

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
  • Orhan, M. (2013). Karar alma problemlerinde AHP'nin yeri ve kalkınmışlık kriterleriyle Avrupa Birliği üyesi ülkelerin karşılaştırılması (Master’s Thesis). Marmara Universty, İstanbul. Retrieved from: https://tez.yok.gov.tr/UlusalTezMerkezi/tezDetay.jsp?id=T0uALLN8tVzNEGdEm-taSA&no=EXwoGD24- 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. https://doi.org/10.3846/tede.2020.11920
  • Piasecki, M. & Kostyrko, K. (2020).Development of weighting scheme for indoor air quality model using a 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. https://doi.org/10.3934/math.2024035
  • 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 Nos 4/5, pp. 1100-1128.
  • Sharma,M., Joshi,S. & Govindan,K. (2023). Overcoming barriers to implement digital technologies to achieve 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
  • Sreekumar, V. & Rajmohan, M. (2019). Supply chain strategy decisions for sustainable development using an integrated multi-criteria decision making approach. Sustainable Development, 27:50–60. https://doi.org/10.1002/sd.1861
  • Torkayesh, A.E., Pamučar, D., Ecer, F. & Chatterjee, P. (2021a). An Integrated BWM-LBWA-CoCoSo 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. https://doi.org/10.1016/j.techsoc.2021.101670
  • Tuş, A., & Aytaç, A., E. (2019). The new combination with CRITIC and WASPAS methods for the time and attendance software selection problem. OPSEARCH, 56, 528–538. https://doi.org/10.1007/s12597-019-00371-6
  • Uluskan, M., Topuz, D. & Çimen, C. (2020). AHP, bulanık AHP, LBWA VE COPRAS yöntemleri ile tedarikçi değerlendirme: demiryolu sektöründe bir uygulama. Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi, 30(3),412-430. https://doi.org/10.31796/ogummf.1068384
  • Wang, W., Chen, Y., Wang, Y., Deveci,M., Moslem, S. & Coffman, D. (2024). Unveiling the implementation barriers to the digital transformation in the energy sector using the Fermatean cubic fuzzy method. Applied Energy, 360,122756. https://doi.org/10.1016/j.apenergy.2024.122756
  • Wei, G., Lei, F., Lin, R., Wang, R., Wei, Y., Wu, J., & Wei, C. (2020). Algorithms for probabilistic uncertain 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. https://doi.org/10.1080/1331677X.2020.1734851
  • Yazdani, M., Pamučar, D., Chatterjee, P. & Torkayesh, A.E. (2022). A Multi-Tier Sustainable Food Supplier Selection Model under Uncertainty. Operations Management Research, 15, 116–145. https://doi.org/10.1007/s12063-021-00186-z
  • Žižović, M. & Pamučar, D. (2019). New model for determining criteria weights: level-based weight assessment (LBWA) model. Decision Making: Applications in Management and Engineering, 2(2), 1-20. https://doi.org/10.31181/dmame1902102z
  • Zaher, H., Khalifa, H. A. & Mohamed, S. (2018). On Rough Interval Multi Criteria Decision Making. International Journal of Scientific & Technology Research, 7(3), 44-54. Corpus ID: 116022924
  • Zeng, S., Gao, L. & Wu, J. (2024). Data literacy evaluation of undergraduate in business majors based on 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

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
  • 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
  • Orhan, M. (2013). Karar alma problemlerinde AHP'nin yeri ve kalkınmışlık kriterleriyle Avrupa Birliği üyesi ülkelerin karşılaştırılması (Master’s Thesis). Marmara Universty, İstanbul. Retrieved from: https://tez.yok.gov.tr/UlusalTezMerkezi/tezDetay.jsp?id=T0uALLN8tVzNEGdEm-taSA&no=EXwoGD24- 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. https://doi.org/10.3846/tede.2020.11920
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  • Wang, W., Chen, Y., Wang, Y., Deveci,M., Moslem, S. & Coffman, D. (2024). Unveiling the implementation barriers to the digital transformation in the energy sector using the Fermatean cubic fuzzy method. Applied Energy, 360,122756. https://doi.org/10.1016/j.apenergy.2024.122756
  • Wei, G., Lei, F., Lin, R., Wang, R., Wei, Y., Wu, J., & Wei, C. (2020). Algorithms for probabilistic uncertain 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. https://doi.org/10.1080/1331677X.2020.1734851
  • Yazdani, M., Pamučar, D., Chatterjee, P. & Torkayesh, A.E. (2022). A Multi-Tier Sustainable Food Supplier Selection Model under Uncertainty. Operations Management Research, 15, 116–145. https://doi.org/10.1007/s12063-021-00186-z
  • Žižović, M. & Pamučar, D. (2019). New model for determining criteria weights: level-based weight assessment (LBWA) model. Decision Making: Applications in Management and Engineering, 2(2), 1-20. https://doi.org/10.31181/dmame1902102z
  • Zaher, H., Khalifa, H. A. & Mohamed, S. (2018). On Rough Interval Multi Criteria Decision Making. International Journal of Scientific & Technology Research, 7(3), 44-54. Corpus ID: 116022924
  • Zeng, S., Gao, L. & Wu, J. (2024). Data literacy evaluation of undergraduate in business majors based on 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
Toplam 48 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Endüstri Mühendisliği
Bölüm Araştırma Makalesi
Yazarlar

Elif Kılıç Delice 0000-0002-3051-0496

Elif Akviran 0000-0003-2776-2374

Yayımlanma Tarihi 31 Aralık 2024
Gönderilme Tarihi 27 Aralık 2023
Kabul Tarihi 12 Ekim 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 8 Sayı: 2

Kaynak Göster

APA Kılıç Delice, E., & Akviran, E. (2024). A New Integrated Criteria Weighting Approach for Determining Production Priority in Demand Management. Journal of Turkish Operations Management, 8(2), 442-458.
AMA Kılıç Delice E, Akviran E. A New Integrated Criteria Weighting Approach for Determining Production Priority in Demand Management. JTOM. Aralık 2024;8(2):442-458.
Chicago Kılıç Delice, Elif, ve Elif Akviran. “A New Integrated Criteria Weighting Approach for Determining Production Priority in Demand Management”. Journal of Turkish Operations Management 8, sy. 2 (Aralık 2024): 442-58.
EndNote Kılıç Delice E, Akviran E (01 Aralık 2024) A New Integrated Criteria Weighting Approach for Determining Production Priority in Demand Management. Journal of Turkish Operations Management 8 2 442–458.
IEEE E. Kılıç Delice ve E. Akviran, “A New Integrated Criteria Weighting Approach for Determining Production Priority in Demand Management”, JTOM, c. 8, sy. 2, ss. 442–458, 2024.
ISNAD Kılıç Delice, Elif - Akviran, Elif. “A New Integrated Criteria Weighting Approach for Determining Production Priority in Demand Management”. Journal of Turkish Operations Management 8/2 (Aralık 2024), 442-458.
JAMA Kılıç Delice E, Akviran E. A New Integrated Criteria Weighting Approach for Determining Production Priority in Demand Management. JTOM. 2024;8:442–458.
MLA Kılıç Delice, Elif ve Elif Akviran. “A New Integrated Criteria Weighting Approach for Determining Production Priority in Demand Management”. Journal of Turkish Operations Management, c. 8, sy. 2, 2024, ss. 442-58.
Vancouver Kılıç Delice E, Akviran E. A New Integrated Criteria Weighting Approach for Determining Production Priority in Demand Management. JTOM. 2024;8(2):442-58.

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