| CÔNG TRÌNH KHOA HỌC TIÊU BIỂU
a. Bài báo khoa học
Journal articles
- Cao, T. B. O., Nguyen, D. D., & Le, T. D. C. (2025). Optimising biomass re-collection centre locations for Vietnam’s growing bioenergy industry: An integrated DEMATL and GRA approach. Renewable Energy Focus, 100740.
- Luong, T.K., Pham, N.T.D., Nguyen, D.T., Hoang, T.A.T. and Nguyen, D.D. (2024) ‘Possibilistic programming for designing reverse logistics networks to handle e-commerce returns under uncertainty’, Int. J. Integrated Supply Management (Accepted)
- Ho, A.L.N., Mai, H.Q.K., Truong, T.P., Nguyen, G.H., Thach, N.D. and Nguyen, D.D. (2024) ‘Optimisation model for city healthcare vehicle routing problems with fuzzy time windows: a case study in Vietnam’, Int. J. Logistics Systems and Management (Accepted)
- Phan Ha, N. N., Nguyen, D. D., & Le, S. T. Q. (2024). Sustainable supplier selection in the apparel industry: an integrated AHP-TOPSIS model for multi-criteria decision analysis. Research Journal of Textile and Apparel.
- Hao, D. Q., Do, N. H., & Nguyen, D. D. (2024). New product development in the fast fashion industry: a case study in Vietnam. International Journal of Services and Operations Management, 48(1), 136-154.
- Nguyen, L. T. T., Nguyen, T. H. T., & Nguyen, D. D. (2024). An integrated FAHP and TOPSIS for supplier selection under uncertainty: a case study in electrical explosion protection and sensor company. International Journal of Applied Management Science, 16(3), 304-328.
- Wang C-N, Cao T-B-O, Duy Nguyen D, Dang T-T. Bi-objective optimisation modelling for biomass supply chain planning. Measurement and Control. 2024;57(8):1087-1098.
- Nguyen N. Q., Nguyen, D. D., Nguyen V. H., Do N.-H. (2023), “The designing of warehouse management information system: a case study in helmet company”, Int. J. of Services and Operations Management. (Accepted)
- Duc, D. N., & Nananukul, N. (2023). An integrated methodology based on machine-learning algorithms for biomass supply chain optimisation. International Journal of Logistics Systems and Management, 46(1), 47-75.
- Le, T. D. C., Nguyen, D. D., Oláh, J., & Pakurár, M. (2022). Clustering algorithm for a vehicle routing problem with time windows. Transport, 37(1), 17-27.
- Duc, D. N., Meejaroen, P., & Nananukul, N. (2021). Multi-objective models for biomass supply chain planning with economic and carbon footprint consideration. Energy Reports, 7, 6833-6843.
- Duy Nguyen Duc and Narameth Nananukul (2019). “Advanced Methodologies for Biomass Supply Chain Planning.” Processes 7(10): 659, 2019.
- Duy Nguyen Duc and Narameth Nananukul. “A Hybrid Methodology Based on Machine Learning for a Supply Chain Optimization Problem.” Journal of Physics: Conference Series. Vol. 1624. No. 5. IOP Publishing, 2020.
- Duy Nguyen Duc, Thong Tran Huu, & Narameth Nananukul. A Dynamic Route-Planning System Based on Industry 4.0 Technology. Algorithms, 13(12), 308, 2020.
- Thong Tran Huu, Duy Nguyen Duc, and Narameth Nananukul. “Machine Learning Model for a Dynamic Path Planning Problem.” Journal of Physics: Conference Series. Vol. 1624. No. 2. IOP Publishing, 2020.
- Le, T. D. C., Nguyen, D. D., Oláh, J., & Pakurár, M. Optimal vehicle route schedules in picking up and delivering cargo containers considering time windows in logistics distribution networks: A case study, Production Engineering Archives, 26(4), 174-184, 2020.
Book chapters
- Nguyen Thu Ngan Pham, Tran Anh Thu Ho, Thi Diem Chau Le and Duc Duy Nguyen (2024, December). A Task Allocation Optimization Model Considering Parallel Workstations and Task-Paralleling. In EAI International Conference on Renewable Energy and Sustainable Manufacturing. Cham: Springer Nature Switzerland.
- Phat-Tai Nguyen, Duc Duy Nguyen and Thi Diem-Chau Le (2024, December). Optimization Model for Make-Or-Buy Decisions: A Case Study In the Packaging Industry. In EAI International Conference on Renewable Energy and Sustainable Manufacturing. Cham: Springer Nature Switzerland.
- Gia Bao Phung, Thuy Hien Le, Nguyen Nhat Minh Tang, Nguyen Dan Truong Pham, Thi Diem-Chau Le and Duc Duy Nguyen. Improved Demand Forecasting using Artificial Neural Networks: Incorporating Economy Indicators through Feature Construction. In Computational Intelligence Methods for Green Technology and Sustainable Development. GTSD 2024. Lecture Notes in Networks and Systems, Springer, Cham.
- Nguyen, T. D., Do, N. H., & Nguyen, D. D. (2023, December). Weighted Max-Min Model for Fuzzy Multi-objective Biomass Power Plants Location Optimization Problem. In EAI International Conference on Renewable Energy and Sustainable Manufacturing (pp. 205-220). Cham: Springer Nature Switzerland.
- Le, Q. A., Bui, D. X. B., Ho, D. T., Nguyen, T. H., Tran, S. N., Do, N. H., & Nguyen, D. D. (2023, December). Sustainable Cold Storage Warehouse Site Selection in Vietnam: A TOPSIS Approach. In EAI International Conference on Renewable Energy and Sustainable Manufacturing (pp. 637-653). Cham: Springer Nature Switzerland.
- Huynh, H. D., Nguyen, D. D., Do, N. H., & Nguyen, K. V. (2023, December). A Clustering Algorithm for Storage Location Assignment Problems in E-commerce Warehouses. In EAI International Conference on Renewable Energy and Sustainable Manufacturing (pp. 251-265). Cham: Springer Nature Switzerland.
- Nguyen, D.D.K. et al. (2023). Seam Puckering Level Classification Using AIoT Technology. In: Dao, NN., Thinh, T.N., Nguyen, N.T. (eds). Intelligence of Things: Technologies and Applications. ICIT 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 188. Springer, Cham.
- Nguyen, D.D., Lohrmann, C., Luukka, P. (2023). A Comparison of Feature Construction Methods in the Context of Supervised Feature Election for Classification. In: Huang, YP., Wang, WJ., Quoc, H.A., Le, HG., Quach, HN. (eds) Computational Intelligence Methods for Green Technology and Sustainable Development. GTSD 2022. Lecture Notes in Networks and Systems, vol 567. Springer, Cham.
Conference Proceedings
- Trung Kien Luong, Pham Nguyen Thanh Danh, Dat Truong Nguyen, Hoang Tran Anh Thu and Duc Duy Nguyen. A Multi-Objective Model for Sustainable Reverse Logistics Networks in E-commerce. In 2024 International Conference on Logistics and Industrial Engineering (ICLIE-2024). IEEE.
- Quang Nhat Pham, Tran Hong Phuong Pham, Thi Yen Vi Ngo and Duc Duy Nguyen. A novel optimization model for apparel closed-loop supply chain planning. In 2024 International Conference on Logistics and Industrial Engineering (ICLIE-2024). IEEE.
- Khai Kien Lao, Duc Duy Nguyen, Thai Vuong Nguyen, Quang Nhat Pham, Tran Hong Phuong Pham, Tran Anh Thu Ho. Optimizing Resource Allocation and Routing in FMCG Logistics: A Clustering and Simulated Annealing Approach. In 2024 International Conference on Logistics and Industrial Engineering (ICLIE-2024). IEEE.
- Le, S. T. Q., & Nguyen, D. D. (2024, July). Artificial Intelligence Models for Overall Equipment Effectiveness Prediction: A Case Study in an Assembly Manufacturing Company. In 2024 7th International Conference on Green Technology and Sustainable Development (GTSD) (pp. 67-71). IEEE.
- Thi Bao Tram Nguyen, Duc Duy Nguyen, Thi Diem Chau Le, and Ngoc-Hien Do, “Lean Six Sigma Application in Automotive Component Manufacturing: A Case Study”, Inter. Conf. on Logistics and Industrial Engineering, November 2022, pp. 119-127.
- Thi Uyen Linh Tran, Duc Duy Nguyen, Thi Diem Chau Le, and Ngoc-Hien Do, “Lean Manufacturing Implementation: A Case Study in a Helmet Company – Vietnam,” Inter. Conf. on Logistics and Industrial Engineering, November 2022, pp.128-137.
- Duy Nguyen Duc & Narameth Nananukul. A hybrid methodology for renewable energy supply chain management in Vietnam. In proceedings 48th Int. Conf. on Computer and Industrial Engineering (CIE48 2-5 December 2018) (pp. 36.1- 36.14).
- Duy Nguyen Duc & Narameth Nananukul. Supply chain model for renewable energy resource from biomass in Vietnam. 5th Int. Conf. on Industrial Engineering and Applications (ICIEA), 2018. IEEE, 520-525.
b. Giáo trình, tài liệu tham khảo
c. Đề tài, dự án tiêu biểu
- Ứng dụng phương pháp khởi đầu nâng cao nhằm nâng cao hiệu quả giải quyết bài toán định tuyến.
- Ứng dụng trí tuệ nhân tạo trong việc tối ưu giao hàng chặng cuối xem xét đa dạng loại xe trong thời đại nền công nghiệp 4.0
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