Total Publications :
30
Journal Paper
Published
February 2018
P. Das (2018), Design of near-optimal irregular fractional plans satisfying multi-optimality criteria, Journal of Industrial and Production Engineering, 35, 1, 41-47.
Journal Paper
Published
April 2018
S. Saha, S. Sekhar, S. Sadhukhan, P. Das (2018), An Analytics Dashboard Visualization for Flood Decision Support System, Journal of Visualization, 21, 2, 295–307.
Journal Paper
Published
July 2018
S. Roy, S. Bhattacharya, P. Das (2018), Learning nuggets, personalized eLearning (PeL) and product training for professionals with niche skills: a case study from India, Development and Learning in Organizations, ISSN: 1477-7282, 32, 4, 18-21.
Journal Paper
Published
August 2018
A. Paul, D. P. Mukherjee, P. Das, A. Ganguly, A. R. Chintha, S. Kundu (2018), Improved Random Forest for Classification, IEEE Transactions on Image Processing, 27, 8, 4012-4024.
Journal Paper
Published
August 2018
A. Paul, A. Gangopadhyay, A. R. Chintha, D. P. Mukherjee, P. Das, S. Kundu (2018), Calculation of Phase Fraction in Steel Microstructure Images Using Random Forest Classifier, IET Image Processing , 12, 8, 1370-1377.
Book Chapter
Published
August 2018
S. Sadhukhan, S. Banerjee, P. Das and A. K. Sangaiah (2018), Producing Better Disaster Management Plan in Post-Disaster Situation Using Social Media Mining, published in Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications, Academic Press (Elsevier), ISBN: 978-0-12-813314-9, edited by A.K. Sangaiah, M. Sheng and Z. Zhang, Ch.9, 171-183.
Journal Paper
Published
October 2018
A. K. Mollah, S. Sadhukhan, P. Das and Md. Z. Anis (2018), A Cost Optimization Model and Solutions for Shelter Allocation and Relief Distribution in Flood Scenario, International Journal of Disaster Risk Reduction 31, 1187-1198.
Journal Paper
Published
January 2019
S. Chakraborty, P. Das, K. N. Kumar, P. Chattopadhyay, S. Datta (2019), MCDM towards knowledge incorporation in ANN models for phase transformation in continuous cooling of steel, Multidiscipline Modeling in Materials and Structures, 15, 1, 170-186.
Journal Paper
Published
June 2019
P. Das, S.K. Gauri, A. Das, D. Chatterjee (2019), Modeling HSLA Steel Product Quality under Multi-Stage Manufacturing Set Up using Multi-Block Partial Least Square Regression, International Journal of Productivity and Quality Management, 27, 2, 177-195.
Journal Paper
Published
May 2019
P. Manna, M.Z. Anis, P. Das, S. Banerjee (2019), Probabilistic Modeling of Flood Hazard and its Risk Assessment for Eastern Region, Risk Analysis, 39, 7, 1615-1633.
Journal Paper
Published
May 2019
S. Amed, S. Mukherjee, P. Das, B. Datta, (2019), Triggers of positive eWOM: exploration with web analytics, Marketing Intelligence & Planning, 37, 4, 433-450.
Journal Paper
Published
February 2020
S. Jha, P. Das and T. Antczake (2020), Exponential type duality for η-approximated variational problems, Yugoslav Journal of Operations Research, 30, 1, 19-43
Journal Paper
Published
January 2020
S. Roy, S. Bhattacharya, P. Das (2020), Learning clusters, MOOCs, free videos and organization learning: a case study from Indian SMEs, Development and Learning in Organizations: ISSN: 1477-7282, 34, 1, 16-20.
Journal Paper
Published
June 2021
S. Jha, P. Das and S. Bandyopadhyay (2021), Multitime multiobjective variational problems via η-approximation method, Yugoslav Journal of Operations Research, (Online), ISSN 2334-6043. DOI: https://doi.org/10.2298/YJOR201115015J.
Journal Paper
Published
September 2021
S. Jha, P. Das and S. Bandyopadhyay (2021), Characterization of LU-efficiency and saddle-point criteria for F-approximated multiobjective interval-valued variational problems, Results in Control and Optimizaton, 4, https://doi.org/10.1016/j.rico.2021.100044.
Journal Paper
Published
June 2022
S. Jha, P. Das, S. Bandyopadhyay and S. Treanta (2022), Well-posedness for multi-time variational inequality problems via monotonicity and for variational problems with multi-time variational inequality constraints, Journal of Computational and Applied Mathematics, 407, https://doi.org/10.1016/j.cam.2021.114033.
Journal Paper
Published
September 2022
S. Karmakar and P. Das (2022), An economic production quantity model with refurbishment policy in dual-channel logistics, Journal of Cleaner Production, 377.
Journal Paper
Published
May 2023
P. Das and S. Ghosh (2023), Multi-Stage Optimization under Uncertainty in Reverse Logistics Operations: An Industrial Scenario, International Journal of Engineering Science and Technology, 15, 2, 1-13.
Journal Paper
Published
October 2023
M. Masanta, B. Giri and P. Das (2023), Green consideration in a closed-loop supply chain model with imperfect inspection under learning impact, Journal of Cleaner Production, 428.
Journal Paper
Published
May 2024
A. Kundu, M. Masanta, P. Das and A. Bhattacharyya (2024), A Classical and Simulated Approach of Cost Optimization in Reverse Logistics Process for E-Commerce Business, International Journal of Procurement Management, 21, 4, 498-524, https://doi.org/10.1504/IJPM.2024.142790.
Journal Paper
Published
May 2024
S.K. Dey, K. Kundu and P. Das (2024), Digital technology based game-theoretic pricing strategies in a three-tier perishable food supply chain, Annals of Operations Research, https://doi.org/10.1007/s10479-024-06021-5.
Journal Paper
Published
June 2025
S. Dey, P. Das and I. Mukherjee (2025), Data Monetization through Cross Industry collaboration in Retail Banking, International Journal of Mathematical, Engineering and Management Sciences, 10, 3, 729-753, https://doi.org/10.33889/IJMEMS.2024.10.3.037.
Journal Paper
Published
June 2025
M. Masanta, S. Das and P. Das (2025), Optimizing a green supply chain with reverse logistics using queuing system under uncertainties, Journal of Management Analytics, Published online: 28 Jun 2025, 12, 4, 797-848, 2025, https://doi.org/10.1080/23270012.2025.2498345
Journal Paper
Published
January 2026
M. Masanta, U. P. Singh, K. Selvan and P. Das (2026), Optimization of green logistics network in a multi-echelon multi-product supply chain, Journal of Industrial and Production Engineering, 43, 1, 1-21, https://doi.org/10.1080/21681015.2025.2509909.
Journal Paper
Published
January 2026
S. K. Dey, K. Kundu and P. Das (2026). Analyzing the impact of digital technologies in supply chain management: a discrete event simulation-based case study, International Journal of Computer Integrated Manufacturing, Published online: 23 Jan 2026, 1–21, https://doi.org/10.1080/0951192X.2026.2619783
Book Chapter
Published
January 2026
S. Dey, I. Mukherjee and P. Das (2026). Quantification of Customer Experience in Retail Banking. In: Maiti, J., Jenamani, M., Jha, J.K., Kumar, A., Roychowdhury, S., Sen, G. (eds) Operations Research and Data Analytics: Current Trends and Future Perspectives. Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-96-8327-7_3
Journal Paper
Published
February 2026
D. Basu, M. Masanta and P. Das (2026), A dual greening three-echelon CLSC model under a stochastic environment, Journal of the Operational Research Society, Published online: 18 Feb 2026, https://doi.org/10.1080/01605682.2026.2624010
Journal Paper
Published
July 2026
S. K. Dey, K. Kundu and P. Das (2026), Digital and greening strategies for financial resilience in a three-echelon supply chain, International Transactional in Operations Research, 33, 4, 2289-2324, July 2026, https://doi.org/10.1111/itor.70072
Journal Paper
Published
July 2026
S. Pramanick, S. K. Dey, K. Kundu and P. Das (2026), Impact of blockchain on supply chain finance system considering information transaction costs, International Journal of Production Economics, 301, 2026, 110125, ISSN 0925-5273, https://doi.org/10.1016/j.ijpe.2026.110125
Book Chapter
Published
July 2026
P. Das, S.B. Sarbadhikary (2026). An Integrated Data Analytic Approach for Achieving Operational Excellence in Supply Chain. In: Mukherjee, I., Sengupta, R.N., Basu, B., Jha, J.K. (eds) Decision Sciences for Quality and Productivity Improvement. Springer Nature, Singapore, 11 July 2026, https://doi.org/10.1007/978-981-95-7545-9_10
