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2023, Multi-Criteria Decision Making Theory and Applications in Sustainable Healthcare
,2023, Application of Advanced Optimization Techniques for Healthcare Analytics, CRC Press
,2023, Soft Computing for Smart Environments Techniques and Applications, CRC Press
,2025, 'Developing Long-Term Business Strategies by Leveraging Infeasible Recommendations of the Counterfactual Explanation Model', in Lecture Notes on Data Engineering and Communications Technologies, pp. 177 - 187, http://dx.doi.org/10.1007/978-3-031-87769-8_16
,2025, 'Project scheduling with resource considerations', in Reference Module in Social Sciences, Elsevier, http://dx.doi.org/10.1016/b978-0-443-28993-4.00189-x
,2024, 'Bayesian network based on cross bow-tie to analyze differential effects of internal and external risks on sustainable supply chain', in Paul S; Kautish S (ed.), Computational Intelligence Techniques for Sustainable Supply Chain Management, Academic Press, Elsevier, pp. 331 - 382, http://dx.doi.org/10.1016/B978-0-443-18464-2.00005-4
,2024, 'Predictive big data analytics for supply chain demand forecasting', in Paul SK; Kautish S (ed.), Computational Intelligence Techniques for Sustainable Supply Chain Management, Academic Press, Elsevier, pp. 301 - 330, http://dx.doi.org/10.1016/B978-0-443-18464-2.00011-X
,2024, 'Chapter twelve Bayesian network based on cross bow-tie to analyze differential effects of internal and external risks on sustainable supply chain', in Computational Intelligence Techniques for Sustainable Supply Chain Management, Elsevier, pp. 331 - 381, http://dx.doi.org/10.1016/b978-0-443-18464-2.00005-4
,2023, 'Surrogate-assisted Genetic Algorithm for Multi-project Scheduling', in , pp. 87 - 97, http://dx.doi.org/10.1007/978-3-031-19958-5_9
,2022, 'COVID-19 Chest X-rays Classification Through the Fusion of Deep Transfer Learning and Machine Learning Methods', in Lecture Notes on Data Engineering and Communications Technologies, pp. 1 - 11, http://dx.doi.org/10.1007/978-981-19-2948-9_1
,2018, 'A Comparative Study of Different Integer Linear Programming Approaches for Resource-Constrained Project Scheduling Problems', in Data and Decision Sciences in Action, Lecture Notes in Management and Industrial Engineering, Springer, Cham, pp. 227 - 242, http://dx.doi.org/10.1007/978-3-319-55914-8_17
,2017, 'Resource Constrained Multi-project Scheduling: A Priority Rule Based Evolutionary Local Search Approach', in Intelligent and Evolutionary Systems, Springer, Canberra, Australia, pp. 75 - 86, http://dx.doi.org/10.1007/978-3-319-49049-6_6
,Makkar S; Ravindran G; Chakrabortty R; Pal A, (eds.), 2024, Handbook of Artificial Intelligence for Smart City Development: Management Systems and Technology Challenges, CRC Press, Taylor & Francis, Boca Raton, http://dx.doi.org/10.1201/9781003225317
2025, 'IRAF-BRB: An explainable AI framework for enhanced interpretability in project risk assessment', Expert Systems with Applications, 285, http://dx.doi.org/10.1016/j.eswa.2025.127979
,2025, 'Optimizing multinational manufacturing supply chains under diverse carbon policies using carbon gaming', Transportation Research Part E: Logistics and Transportation Review, 198, http://dx.doi.org/10.1016/j.tre.2025.104091
,2025, 'A Multi-Module Explainable Artificial Intelligence Framework for Project Risk Management: Enhancing Transparency in Decision-making', Engineering Applications of Artificial Intelligence, 148, http://dx.doi.org/10.1016/j.engappai.2025.110427
,2025, 'Explainable Artificial Intelligence (XAI) in glaucoma assessment: Advancing the frontiers of machine learning algorithms', Knowledge-Based Systems, 316, http://dx.doi.org/10.1016/j.knosys.2025.113333
,2025, 'Artificial intelligence applications for supply chain risk management considering interconnectivity, external events exposures and transparency: a systematic literature review', Modern Supply Chain Research and Applications, http://dx.doi.org/10.1108/mscra-10-2024-0041
,2025, 'A machine learning predictive model for bushfire ignition and severity: The Study of Australian black summer bushfires', Decision Analytics Journal, 14, http://dx.doi.org/10.1016/j.dajour.2024.100529
,2025, 'Project portfolio selection and scheduling problem under material supply uncertainty', Operations Management Research, 18, pp. 226 - 256, http://dx.doi.org/10.1007/s12063-024-00532-x
,2025, 'A novel metaheuristic population algorithm for optimising the connection weights of neural networks', Evolving Systems, 16, http://dx.doi.org/10.1007/s12530-024-09641-1
,2025, 'Quantifying the trustworthiness of explainable artificial intelligence outputs in uncertain decision-making scenarios', Engineering Applications of Artificial Intelligence, 141, http://dx.doi.org/10.1016/j.engappai.2024.109678
,2025, 'Synchronizing production and delivery in flow shops with time-of-use electricity pricing', Annals of Operations Research, 345, pp. 371 - 403, http://dx.doi.org/10.1007/s10479-024-06430-6
,2025, 'Investigating disruption propagation and resilience of supply chain networks: interplay of tiers and connections', International Journal of Production Research, http://dx.doi.org/10.1080/00207543.2025.2470348
,2024, 'A switching based forecasting approach for forecasting sales data in supply chains', Applied Soft Computing, 167, http://dx.doi.org/10.1016/j.asoc.2024.112419
,2024, 'Generalized hop-based approaches for identifying influential nodes in social networks', Expert Systems, 41, http://dx.doi.org/10.1111/exsy.13649
,2024, 'Deep learning approaches to identify order status in a complex supply chain', Expert Systems with Applications, 250, http://dx.doi.org/10.1016/j.eswa.2024.123947
,2024, 'Supply chain integrated resource-constrained multi-project scheduling problem', Computers and Industrial Engineering, 194, http://dx.doi.org/10.1016/j.cie.2024.110380
,2024, 'Optimal power flow considering intermittent solar and wind generation using multi-operator differential evolution algorithm', Electric Power Systems Research, 232, http://dx.doi.org/10.1016/j.epsr.2024.110377
,2024, 'A cost-effective seed selection model for multi-constraint influence maximization in social networks', Decision Analytics Journal, 11, http://dx.doi.org/10.1016/j.dajour.2024.100474
,2024, 'Reducing emissions from production and distribution in three-echelon supply chains', International Journal of Production Economics, 271, http://dx.doi.org/10.1016/j.ijpe.2024.109181
,2024, 'Multi-objective-based differential evolution for balancing production cost, diversity and aggregated performance attributes in product family design', Flexible Services and Manufacturing Journal, 36, pp. 175 - 223, http://dx.doi.org/10.1007/s10696-022-09480-9
,2024, 'A chance-constrained programming method with credibility measure for solving the multi-skill multi-mode resource-constrained project scheduling problem', International Journal of Construction Management, 24, pp. 1090 - 1106, http://dx.doi.org/10.1080/15623599.2023.2252255
,2024, 'An assets maintenance-workforce planning problem under uncertainty: A chance constraints assisted simulation-optimization approach', Simulation Modelling Practice and Theory, 130, http://dx.doi.org/10.1016/j.simpat.2023.102839
,2024, 'Welcome Message from the Conference Chairs', Proceedings of International Conference on Computers and Industrial Engineering, CIE, 2024-December
,2023, 'An integrated differential evolution algorithm for reconfigurable manufacturing systems', Applied Soft Computing, 149, http://dx.doi.org/10.1016/j.asoc.2023.111025
,2023, 'An optimal ambulance routing model using simulation based on patient medical severity', Healthcare Analytics, 4, http://dx.doi.org/10.1016/j.health.2023.100256
,2023, 'Hierarchical joint optimization of modular product family and supply chain architectures considering sustainability', Sustainable Production and Consumption, 43, pp. 15 - 33, http://dx.doi.org/10.1016/j.spc.2023.10.010
,2023, 'AccessChain: An access control framework to protect data access in blockchain enabled supply chain', Future Generation Computer Systems, 148, pp. 380 - 394, http://dx.doi.org/10.1016/j.future.2023.06.009
,2023, 'Optimized Forecasting Model to Improve the Accuracy of Very Short-Term Wind Power Prediction', IEEE Transactions on Industrial Informatics, 19, pp. 10145 - 10159, http://dx.doi.org/10.1109/TII.2022.3230726
,2023, 'A multi-criteria decision-making tool for the screening of Asperger syndrome', Multimedia Tools and Applications, 82, pp. 34095 - 34111, http://dx.doi.org/10.1007/s11042-023-14996-9
,2023, 'Consideration of uncertainties in a dynamic modeling system integrated with a deep learning based forecasting approach', CIRP Journal of Manufacturing Science and Technology, 44, pp. 27 - 44, http://dx.doi.org/10.1016/j.cirpj.2023.04.003
,2023, 'Evaluating supply chain network resilience considering disruption propagation', Computers and Industrial Engineering, 183, http://dx.doi.org/10.1016/j.cie.2023.109531
,2023, 'Towards facing uncertainties in biofuel supply chain networks: a systematic literature review', Environmental Science and Pollution Research, 30, pp. 100360 - 100390, http://dx.doi.org/10.1007/s11356-023-29331-w
,2023, 'An optimized Belief-Rule-Based (BRB) approach to ensure the trustworthiness of interpreted time-series decisions', Knowledge-Based Systems, 271, http://dx.doi.org/10.1016/j.knosys.2023.110552
,2023, 'Reputation based proof of cooperation: an efficient and scalable consensus algorithm for supply chain applications', Journal of Ambient Intelligence and Humanized Computing, 14, pp. 7795 - 7811, http://dx.doi.org/10.1007/s12652-023-04592-y
,2023, 'Robust Influence Maximization Under Both Aleatory and Epistemic Uncertainty', ACM Transactions on Knowledge Discovery from Data, 17, http://dx.doi.org/10.1145/3587100
,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
,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
,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
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