By Dr Ripon Kumar Chakrabortty

Journal articles

Habibi F; Chakrabortty RK; Abbasi A, 2023, 'Maximizing projects’ profitability, environmental score, and quality: a multi-project scheduling and material ordering problem', Environmental Science and Pollution Research, 30, pp. 59925 - 59962, http://dx.doi.org/10.1007/s11356-023-26361-2

Hossain MS; Chakrabortty RK; Elsawah S; Ryan MJ, 2023, 'Modelling and application of hierarchical joint optimisation for modular product family and supply chain architecture', International Journal of Advanced Manufacturing Technology, 126, pp. 947 - 971, http://dx.doi.org/10.1007/s00170-023-11102-z

Pandey K; Mishra AR; Rani P; Ali J; Chakrabortty R, 2023, 'SELECTING FEATURES BY UTILIZING INTUITIONISTIC FUZZY ENTROPY METHOD', Decision Making Applications in Management and Engineering, 6, pp. 111 - 133, http://dx.doi.org/10.31181/dmame07012023p

Chakrabortty RK; Abdel-Basset M; Ali AM, 2023, 'A multi-criteria decision analysis model for selecting an optimum customer service chatbot under uncertainty', Decision Analytics Journal, 6, http://dx.doi.org/10.1016/j.dajour.2023.100168

Sanowar Hossain M; Chakrabortty RK; El Sawah S; Ryan MJ, 2023, 'A multi-objective Bi-level leader-follower joint optimization for concurrent design of product family and assembly system', Computers and Industrial Engineering, 177, http://dx.doi.org/10.1016/j.cie.2023.109035

Mishra AR; Rani P; Saha A; Hezam IM; Cavallaro F; Chakrabortty RK, 2023, 'An extended DNMA-based multi-criteria decision-making method and its application in the assessment of sustainable location for a lithium-ion batteries’ manufacturing plant', Heliyon, 9, http://dx.doi.org/10.1016/j.heliyon.2023.e14244

Chakrabortty RK; Rahman MHF; Ding W, 2023, 'Guest Editorial: Special Section on Developing Resilient Supply Chains in a Post-COVID Pandemic Era: Application of Artificial Intelligent Technologies for Emerging Industry 5.0', IEEE Transactions on Industrial Informatics, 19, pp. 3296 - 3299, http://dx.doi.org/10.1109/TII.2023.3246645

Uddin M; Ansari MF; Adil M; Chakrabortty RK; Ryan MJ, 2023, 'Modeling Vehicle Insurance Adoption by Automobile Owners: A Hybrid Random Forest Classifier Approach', Processes, 11, http://dx.doi.org/10.3390/pr11020629

Bassiouni MM; Chakrabortty RK; Hussain OK; Rahman HF, 2023, 'Advanced deep learning approaches to predict supply chain risks under COVID-19 restrictions', Expert Systems with Applications, 211, http://dx.doi.org/10.1016/j.eswa.2022.118604

Eldrandaly BK; Ali AA; Chakrabortty RK; Abdel-Basset M, 2023, 'An efficient framework for evaluating the usability of academic websites: Calibration, validation, analysis, and methods', Neutrosophic Sets and Systems, 53, pp. 179 - 201, http://dx.doi.org/10.5281/zenodo.7536001

Asadujjaman M; Rahman HF; Chakrabortty RK; Ryan MJ, 2023, 'AN Integrated Multi-project Scheduling, Materials Ordering and Suppliers Selection Problem', Procedia Computer Science, 219, pp. 1609 - 1616, http://dx.doi.org/10.1016/j.procs.2023.01.453

Habibi F; Abbasi A; Chakrabortty RK, 2023, 'Designing an efficient vaccine supply chain network using a two-phase optimization approach: a case study of COVID-19 vaccine', International Journal of Systems Science Operations and Logistics, 10, http://dx.doi.org/10.1080/23302674.2022.2121623

Nimmy SF; Hussain OK; Chakrabortty RK; Hussain FK; Saberi M, 2023, 'Interpreting the antecedents of a predicted output by capturing the interdependencies among the system features and their evolution over time', Engineering Applications of Artificial Intelligence, 117, http://dx.doi.org/10.1016/j.engappai.2022.105596

Jaigirdar SM; Das S; Chowdhury AR; Ahmed S; Chakrabortty RK, 2023, 'Multi-objective multi-echelon distribution planning for perishable goods supply chain: a case study', International Journal of Systems Science Operations and Logistics, 10, http://dx.doi.org/10.1080/23302674.2021.2020367

Rahman HF; Servranckx T; Chakrabortty RK; Vanhoucke M; El Sawah S, 2022, 'Manufacturing project scheduling considering human factors to minimize total cost and carbon footprints', Applied Soft Computing, 131, http://dx.doi.org/10.1016/j.asoc.2022.109764

Biswas TK; Abbasi A; Chakrabortty RK, 2022, 'An improved clustering based multi-objective evolutionary algorithm for influence maximization under variable-length solutions', Knowledge Based Systems, 256, http://dx.doi.org/10.1016/j.knosys.2022.109856

Mashud AHM; Roy D; Chakrabortty RK; Tseng ML; Pervin M, 2022, 'An optimum balance among the reduction in ordering cost, product deterioration and carbon emissions: a sustainable green warehouse', Environmental Science and Pollution Research, 29, pp. 78029 - 78051, http://dx.doi.org/10.1007/s11356-022-21008-0

Abdel-Basset M; Mohamed R; Sallam KM; Chakrabortty RK, 2022, 'Light Spectrum Optimizer: A Novel Physics-Inspired Metaheuristic Optimization Algorithm', Mathematics, 10, http://dx.doi.org/10.3390/math10193466

Gad AG; Sallam KM; Chakrabortty RK; Ryan MJ; Abohany AA, 2022, 'Correction to: An improved binary sparrow search algorithm for feature selection in data classification (Neural Computing and Applications, (2022), 34, 18, (15705-15752), 10.1007/s00521-022-07203-7)', Neural Computing and Applications, 34, pp. 15753, http://dx.doi.org/10.1007/s00521-022-07546-1

Sarfaraz A; Chakrabortty RK; Essam DL, 2022, 'The implications of blockchain-coordinated information sharing within a supply chain: A simulation study', Blockchain Research and Applications, pp. 100110 - 100110, http://dx.doi.org/10.1016/j.bcra.2022.100110

Azad T; Rahman HF; Chakrabortty RK; Ryan MJ, 2022, 'Optimization of integrated production scheduling and vehicle routing problem with batch delivery to multiple customers in supply chain', Memetic Computing, http://dx.doi.org/10.1007/s12293-022-00372-x

Mousavirad SJ; Oliva D; Chakrabortty RK; Zabihzadeh D; Hinojosa S, 2022, 'Population-based self-adaptive Generalised Masi Entropy for image segmentation: A novel representation', Knowledge Based Systems, 245, http://dx.doi.org/10.1016/j.knosys.2022.108610

Biswas S; Ali I; Chakrabortty RK; Turan HH; Elsawah S; Ryan MJ, 2022, 'Dynamic modeling for product family evolution combined with artificial neural network based forecasting model: A study of iPhone evolution', Technological Forecasting and Social Change, 178, http://dx.doi.org/10.1016/j.techfore.2022.121549

Mishra AR; Pamučar D; Hezam IM; Chakrabortty RK; Rani P; Božanić D; Ćirović G, 2022, 'Interval-Valued Pythagorean Fuzzy Similarity Measure-Based Complex Proportional Assessment Method for Waste-to-Energy Technology Selection', Processes, 10, http://dx.doi.org/10.3390/pr10051015

El-Dahshan E-SA; Bassiouni MM; Hagag A; Chakrabortty RK; Loh H; Acharya RU, 2022, 'RESCOVIDTCNnet: A residual neural network-based framework for COVID-19 detection using TCN and EWT with chest X-ray images', Expert Systems with Applications, pp. 117410 - 117410, http://dx.doi.org/10.1016/j.eswa.2022.117410

Gad A; Sallam K; Chakrabortty R; Ryan M; Abohany AA, 2022, 'An improved binary sparrow search algorithm for feature selection in data classification', Neural Computing and Applications, http://dx.doi.org/10.1007/s00521-022-07203-7

Mahmud S; Chakrabortty RK; Abbasi A; Ryan MJ, 2022, 'Switching strategy-based hybrid evolutionary algorithms for job shop scheduling problems', Journal of Intelligent Manufacturing, http://dx.doi.org/10.1007/s10845-022-01940-1

Biswas TK; Abbasi A; Chakrabortty RK, 2022, 'A two-stage VIKOR assisted multi-operator differential evolution approach for Influence Maximization in social networks', Expert Systems with Applications, 192, http://dx.doi.org/10.1016/j.eswa.2021.116342

Akl AM; El Sawah S; Chakrabortty RK; Turan HH, 2022, 'A Joint Optimization of Strategic Workforce Planning and Preventive Maintenance Scheduling: A Simulation–Optimization Approach', Reliability Engineering and System Safety, 219, http://dx.doi.org/10.1016/j.ress.2021.108175

Pervez I; Sarwar A; Alam A; Tariq M; Chakrabortty R; Ryan M, 2022, 'An MPPT method using hybrid Radial Movement Optimization with teaching-learning based optimization under Fluctuating Atmospheric Conditions', Journal of Intelligent and Fuzzy Systems, pp. 1 - 10, http://dx.doi.org/10.3233/JIFS-189750

Anees MA; Lodi KA; Tariq M; Alam M; Chakrabortty R; Ryan M, 2022, 'Reactive power compensation for grid by Packed-U-Cell inverter using Model Predictive Control Strategy with intelligent Multi-objective scheme', Journal of Intelligent and Fuzzy Systems, pp. 1 - 14, http://dx.doi.org/10.3233/JIFS-189749

Asadujjaman M; Rahman MHF; Chakrabortty R; Ryan M, 2022, 'Multi-operator Immune Genetic Algorithm for Project Scheduling with Discounted Cash Flows', Expert Systems with Applications, 195, http://dx.doi.org/10.1016/j.eswa.2022.116589

Paul SK; Chowdhury P; Chakrabortty RK; Ivanov D; Sallam K, 2022, 'A mathematical model for managing the multi-dimensional impacts of the COVID-19 pandemic in supply chain of a high-demand item', Annals of Operations Research, http://dx.doi.org/10.1007/s10479-022-04650-2

Mondal R; Shaikh AA; Bhunia AK; Hezam IM; Chakrabortty RK, 2022, 'Impact of trapezoidal demand and deteriorating preventing technology in an inventory model in interval uncertainty under backlogging situation', Mathematics, 10, http://dx.doi.org/10.3390/math10010078

Berrell R; Chakrabortty RK, 2022, 'Improving the availability of Australian hospitals' critical medical devices', IFAC Papersonline, 55, pp. 1278 - 1283, http://dx.doi.org/10.1016/j.ifacol.2022.09.566

McIvor L; Chakrabortty RK, 2022, 'Multi-Criteria Decision Making in A Multi-Method Framework with Application in Capability Acquisition and Enhancement', IFAC Papersonline, 55, pp. 1816 - 1821, http://dx.doi.org/10.1016/j.ifacol.2022.09.662

Rahman HF; Chakrabortty RK; Paul SK; Elsawah S, 2022, 'Optimising vaccines supply chains to mitigate the COVID-19 pandemic', International Journal of Systems Science: Operations and Logistics, 10, http://dx.doi.org/10.1080/23302674.2022.2122757

Khalifa NE; Loey M; Chakrabortty RK; Taha MHN, 2022, 'Within the Protection of COVID-19 Spreading: A Face Mask Detection Model Based on the Neutrosophic RGB with Deep Transfer Learning', Neutrosophic Sets and Systems, 50, pp. 320 - 335

Mahmud S; Abbasi A; Chakrabortty RK; Ryan MJ, 2022, 'A self-adaptive hyper-heuristic based multi-objective optimization approach for integrated supply chain scheduling problems', Knowledge-Based Systems, pp. 109190 - 109190, http://dx.doi.org/10.1016/j.knosys.2022.109190

Sorour SE; Abdelkader HE; Sallam KM; Chakrabortty RK; Ryan MJ; Abohany A, 2022, 'An analytical code quality methodology using Latent Dirichlet Allocation and Convolutional Neural Networks', Journal of King Saud University - Computer and Information Sciences, http://dx.doi.org/10.1016/j.jksuci.2022.01.013

Gamal A; Abdel-Basset M; Chakrabortty RK, 2022, 'Intelligent model for contemporary supply chain barriers in manufacturing sectors under the impact of the COVID-19 pandemic', Expert Systems with Applications, pp. 117711 - 117711, http://dx.doi.org/10.1016/j.eswa.2022.117711

Mashud AHM; Miah S; Daryanto Y; Chakrabortty RK; Mahmudul Hasan SM; Tseng M-L, 2022, 'Inventory decisions on the transportation system and carbon emissions under COVID-19 effects: A sensitivity analysis', Computers and Industrial Engineering, pp. 108393 - 108393, http://dx.doi.org/10.1016/j.cie.2022.108393

Ahmed SS; Chakrabortty RK; Essam DL; Ding W, 2022, 'Poly-linear regression with augmented long short term memory neural network: Predicting time series data', Information Sciences, 606, pp. 573 - 600, http://dx.doi.org/10.1016/j.ins.2022.05.078

Mahmud S; Chakrabortty RK; Abbasi A; Ryan MJ, 2022, 'Swarm intelligent based metaheuristics for a bi-objective flexible job shop integrated supply chain scheduling problems', Applied Soft Computing, pp. 108794 - 108794, http://dx.doi.org/10.1016/j.asoc.2022.108794

Rahman MHF; Chakrabortty R; El Sawah S; Ryan M, 2021, 'Energy-Efficient Project Scheduling with Supplier Selection in Manufacturing Projects', Expert Systems with Applications, http://dx.doi.org/10.1016/j.eswa.2021.116446

Sharma A; Sharma A; Malhotra R; Singh P; Chakrabortty RK; Mahajan S; Pandit AK, 2021, 'An accurate artificial intelligence system for the detection of pulmonary and extra pulmonary Tuberculosis', Tuberculosis, 131, http://dx.doi.org/10.1016/j.tube.2021.102143

Raian S; Ali SM; Sarker MR; Sankaranarayanan B; Kabir G; Paul SK; Chakrabortty R, 2021, 'Assessing sustainability risks in the supply chain of the textile industry under uncertainty', Resources, Conservation and Recycling, 177, http://dx.doi.org/10.1016/j.resconrec.2021.105975

Nimmy SF; Hussain OK; Chakrabortty R; Hussain FK; Saberi M, 2021, 'Explainability in Supply Chain Operational Risk Management: A Systematic Literature Review', Knowledge-Based Systems, http://dx.doi.org/10.1016/j.knosys.2021.107587

Adil M; Ansari MF; Alahmadi A; Wu JZ; Chakrabortty RK, 2021, 'Solving the problem of class imbalance in the prediction of hotel cancelations: A hybridized machine learning approach', Processes, 9, http://dx.doi.org/10.3390/pr9101713

Adil M; Wu J-Z; Chakrabortty R; Alahmadi A; Ansari MF; Ryan M, 2021, 'Attention-Based STL-BiLSTM Network to Forecast Tourist Arrival', Processes, 9, http://dx.doi.org/10.3390/pr9101759

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