Publications of SQCORU-KOLKATA

Book Chapter
  1. Prasun Das:  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
    Published, July 2026
  2. Prasun Das:  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
    Published, January 2026
  3. Prasun Das:  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.
    Published, August 2018
Journal Paper
  1. Sm. Nandini Das:  Das N. “An Overview and Comparative Analysis of Synthetic Control Charts”, International Journal of Engineering, Science and Technology, Vol. 18, No. 2, pp. 14-21.
    Published, August 2026
  2. Prasun Das:  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
    Published, July 2026
  3. Prasun Das:  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
    Published, July 2026
  4. Sm. Nandini Das:  Das N. “A new non-parametric control chart based on sequential nonparametric survival deviation (SNSD) for controlling reliability data”, International Journal of Engineering, Science and Technology, Vol. 18, No. 1, pp. 57-66
    Published, May 2026
  5. Prasun Das:  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
    Published, February 2026
  6. Prasun Das:  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
    Published, January 2026
  7. Prasun Das:  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.
    Published, January 2026
  8. Sm. Nandini Das:  Das N. “Control chart for monitoring reliability data - An overview and some comments”. International Journal of Engineering, Science and Technology, 17(4), pp. 97-102
    Published, December 2025
  9. Prasun Das:  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
    Published, June 2025
  10. Prasun Das:  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.
    Published, June 2025
  11. Prasun Das:  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.
    Published, May 2024
  12. Sm. Nandini Das:  Das N. “Multivariate control chart for controlling variability – A comparative study”. International Journal of Engineering, Science and Technology, 16(1), pp. 35-43
    Published, May 2024
  13. Prasun Das:  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.
    Published, May 2024
  14. Prasun Das:  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.
    Published, October 2023
  15. Prasun Das:  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.
    Published, May 2023
  16. Prasun Das:  S. Karmakar and P. Das (2022), An economic production quantity model with refurbishment policy in dual-channel logistics, Journal of Cleaner Production, 377.
    Published, September 2022
  17. Sm. Nandini Das:  Das N., “ Process control for categorical (ordinal) data”, International Journal of Engineering, Science and Technology, 14 (2), 34-40
    Published, September 2022
  18. Prasun Das:  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.
    Published, June 2022
  19. Prasun Das:  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.
    Published, September 2021
  20. Prasun Das:  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.
    Published, June 2021
  21. Sm. Nandini Das:  Das N. : “Supplier Selection Criteria and Methods in Supply Chain (A Statistical Approach), Advances in Economics, Business and Management Research, 149,6-10
    Published, September 2020
  22. Prasun Das:  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
    Published, February 2020
  23. Prasun Das:  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.
    Published, January 2020
  24. Prasun Das:  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.
    Published, June 2019
  25. Prasun Das:  S. Amed, S. Mukherjee, P. Das, B. Datta, (2019), Triggers of positive eWOM: exploration with web analytics, Marketing Intelligence & Planning, 37, 4, 433-450.
    Published, May 2019
  26. Prasun Das:  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.
    Published, May 2019
  27. Prasun Das:  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.
    Published, January 2019
  28. Prasun Das:  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.
    Published, October 2018
  29. Prasun Das:  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.
    Published, August 2018
  30. Prasun Das:  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.
    Published, August 2018
  31. Prasun Das:  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.
    Published, July 2018
  32. Prasun Das:  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.
    Published, April 2018
  33. Prasun Das:  P. Das (2018), Design of near-optimal irregular fractional plans satisfying multi-optimality criteria, Journal of Industrial and Production Engineering, 35, 1, 41-47.
    Published, February 2018
  34. Prasun Das:  S. K. Gauri and P. Das (2017), A framework for performance evaluation and monitoring of public health program using composite performance index, International Journal for Quality Research, 11, 4, 817-834.
    Published, September 2017
  35. Sm. Nandini Das:  Das N. and Maiti A.: Comparison study of different control charts for joint monitoring of mean and variance, Journal of nonlinear studies, 24(1), 1-9, 2017
    Published, September 2017
  36. Prasun Das:  I. Mohanty, P. Das, D. Bhattacharjee and S. Datta (2017), In Search of the Attributes Responsible for Sliver Formation in Cold Rolled Steel Sheets, J. Inst. Eng. India Ser. D, 98, 1, 59–70.
    Published, June 2017
  37. Prasun Das:  P. Das and S. Mukherjee (2017), Improvement in higher education quality of the North-East University of India, Total Quality Management & Business Excellence, 28, 7, 765 –781.
    Published, January 2017
  38. Prasun Das:  S. Mukherjee and P. Das (2016), Designing a Fuzzy Approach for Modeling the Performance Evaluation of Education Service Providers, International Journal of Services and Operations Management, 26, 1, 49-67.
    Published, December 2016
  39. Sm. Nandini Das:  Das N. and Pandey A., Use of Generalized distributions in Estimating Process Capability for Non-Normal data, International journal of Statistics and Economics, 17(2),
    Published, December 2016
  40. Prasun Das:  P. Das, S. Mukherjee and S. Dutta Roy (2016), Assessment of quality of higher education in hostile environment: an analysis on provincialised colleges under Assam University Silchar, Quality in Higher Education, 22, 1, 36-48.
    Published, March 2016
  41. Prasun Das:  P. Das and S. Mondal (2014), Optimum Formulation of Cathode Mix for a Multi-Response Set-up using Design Optimality Criteria, Int. J. Experimental Design and Process Optimization, 4,2, 143-165.
    Published, December 2014
  42. Sm. Nandini Das:  Das N. and Dwivedi P. S.*: Multivariate Process Capability Index: A Review and Some Results, Economic Quality Control, 28(2), 151-166,
    Published, December 2014
  43. Prasun Das:  P. Das, F. Pettersson and S. Dutta (2014), Pruned-bimodular neural networks for modeling of strength-ductility balance of HSLA steel plates, Int. J. Artificial Intelligence and Soft Computing, 4, 4, 354-372.
    Published, November 2014
  44. Prasun Das:  S. Mukherjee and P. Das (2014), Criteria for customer agglomeration for a new footwear retail: a case study of a regional footwear brand in India, Int. J. Business Excellence,7,5, 626-645.
    Published, September 2014
  45. Prasun Das:  P. Das and D. Bose 92014), Design of controller for mixed data type – a composite fuzzy-neural approach, Journal of Engineering Science and Technology (Special Issue on ICMTEA 2013), 1-11.
    Published, January 2014
  46. Sm. Nandini Das:  Das N. and Sachan L.: Robust Control Charts For Controlling Location Parameter, International Journal of Productivity and Quality Management (IJPQM), 12(1), 18-37
    Published, September 2013
  47. Prasun Das:  S. Ray, P. Das, B.K. Bhattacharyay and J. Antony (2013), Measuring Six-Sigma Project Effectiveness using Fuzzy Approach, Quality Reliability Engineering International, 29, 3, 417-430, https://doi.org/10.1002/qre.1391.
    Published, April 2013
  48. Prasun Das:  S. Ray and P. Das and B.K. Bhattacharyay (2013), Success factors characterization towards Six Sigma Implementation in Indian Industries, International Journal of Six Sigma and Competitive Advantage, 7(3), 181-208, https://doi.org/10.1504/IJSSCA.2012.053457.
    Published, April 2013
  49. Prasun Das:  P. Das, A. Ghosh, B.K. Bhattacharyay and S. Datta (2013), New approach for feature selection of thermomechanically processed HSLA steel using pruned-modular neural networks, J. Inst. Eng. India Ser. D, 93, 2, 73-86.
    Published, March 2013
  50. Prasun Das:  S. Mondal and P. Das (2012), A distance function approach to multi-response optimization in determining optimal factor setting, International Journal of Productivity and Quality Management, 10, 4, 498-513.
    Published, October 2012
  51. Prasun Das:  P. Das and A. Gupta (2012), Molding a solution: How Six sigma enhanced product performance at an Indian foundry, Six Sigma Forum Magazine, 9-16.
    Published, August 2012
  52. Prasun Das:  M. Kumar and P. Das (2012), Fuzzy-distance function approach for multiple criteria decision making, International Journal for Quality Research, 6, 2, 119-124.
    Published, June 2012
  53. Sm. Nandini Das:  Das N., : Performance of Control Chart using Generalized Lambda Distribution, International Journal of Productivity and Quality Management (IJPQM),10(4), 411-427,
    Published, April 2012
  54. Prasun Das:  P. Das and S. Datta (2012), Developing an unsupervised classification algorithm for characterization of steel properties, International Journal of Quality and Reliability Management, 29, 4, 368-383.
    Published, April 2012
  55. Prasun Das:  I. Banerjee and P. Das (2012), Group technology based adaptive cell formation using predator–prey genetic algorithm, Appl. Soft Comput. J., 12, 1, 559-572.
    Published, January 2012
  56. Sm. Nandini Das:  Das N., : Estimating Process Capability Indices Using Univariate g and h Distribution, Journal of Industrial and Systems Engineering, vol-5, No-2,121-128
    Published, June 2011
  57. Sm. Nandini Das:  Das N. : Control Charts for Controlling Variability of Non-Normal Processes, Economic Quality Control, 26(2), 121-131
    Published, May 2011
  58. Sm. Nandini Das:  Das N. : Control Charts Based on the g-and-h Distribution, Economic Quality Control, 26 (1), 3-14,
    Published, March 2011
  59. Sm. Nandini Das:  Das N., Ghosh A., Das P. : Mining Association Rules to Evaluate Consumer Perception: A New FP-Tree Approach, International Journal for Quality Research, 5(2), 89-102
    Published, January 2011
  60. Sm. Nandini Das:  Das N. : Monitoring time between failure of a vertical boring machine using statistical process control, International Journal of Production and Quality Engineering (IJPQE), 2(1), 49-53,
    Published, January 2011
  61. Sm. Nandini Das:  Das N. : Robust Control Chart for Controlling Variability Based on the Robust Estimators of Scale,. International Journal Of Reliability And Quality Performance, 2(2), 63-71
    Published, December 2010
  62. Sm. Nandini Das:  Mukherjee A. R. and Das N. : Sparking a Solution, statistical thinking and six sigma used in a manufacturing setting, Six Sigma Forum Magazine, 8 (4) , 18-24
    Published, September 2009
  63. Sm. Nandini Das:  Das N. : The Airport Gate Assignment Problem With Some Practical Constraints. International Journal of Applied Management Science, 1(3), 315-323,
    Published, June 2009
  64. Sm. Nandini Das:  Das N.: A New Multivariate Nonparametric Control Chart Based On Sign Test, Quality Technology and Quantitative Management (QTQM), 6(2), 155-169,
    Published, March 2009
  65. Sm. Nandini Das:  Das, N.: A Comparison study of Three Non-Parametric Control Charts to detect Shift in Location Parameter, International Journal of Advanced Manufacturing Technology, 41 (7-8), 799-807
    Published, March 2009
  66. Sm. Nandini Das:  Das N. : A Non-parametric Control Chart for Controlling Variability Based on Squared Rank test, Journal of Industrial and Systems Engineering, 2(2), 114-125,
    Published, September 2008
  67. Sm. Nandini Das:  Das, N.: A Note on Efficiency of Non parametric Control chart for Monitoring Process variability, Economic Quality Control, 23 (1), 85-93,
    Published, September 2008
  68. Sm. Nandini Das:  Das N. : Nonparametric Control Chart for Controlling Variability based on rank test, Economic Quality Control, 23(2),227-242
    Published, June 2008
  69. Sm. Nandini Das:  Das, N.: Reducing manufacturing defects through statistical investigation in an integrated aluminium industry, International Journal of Advanced Manufacturing Technology, 36, (3-4), 315-321, 2008
    Published, June 2008
  70. Sm. Nandini Das:  Das,N and Bhattacharya A.*:A new nonparametric control chart for controlling variability, Quality Technology and Quantitative Management (QTQM), 5(4), 351-361
    Published, June 2008
  71. Sm. Nandini Das:  Das, N and Prakash V.*: Interpreting the out of control signal in multivariate control chart – A comparative study, International Journal of Advanced Manufacturing Technology, 37, (9-10), 966-979
    Published, April 2008
  72. Sm. Nandini Das:  Das, N.: Developing a model for cubicles allocation problem to new employees, The vision – Journal of Management and Allied Sciences, 3(2), 1-9
    Published, June 2007
  73. Sm. Nandini Das:  Das, N.: Multivariate diagnostic tests : A review of different methods, Economic Quality Control, 21 (1), 143-153
    Published, May 2006
  74. Sm. Nandini Das:  Das, N., Gauri S. K. and Das P.: Six sigma principles in marketing : An application, International Journal of Six Sigma and Competitive Advantage, 2 (3), 243-262,
    Published, April 2006
  75. Sm. Nandini Das:  Das, N.: Two examples of a successful multivariate quantitative analysis in industry, Economic Quality Control, 20 (1), 69-79
    Published, June 2005
  76. Sm. Nandini Das:  Das, N. &Samanta N*.: Evaluation of customer satisfaction level of different projects, Quality Assurance, 11 (2), 75-84
    Published, April 2005
  77. Sm. Nandini Das:  Das, N.: Improving resistivity of resin, Economic Quality Control, 19 (1), 127-132,
    Published, June 2004
  78. Sm. Nandini Das:  Das, N.: A Study on estimating measurement error in the measurement of earing of Pilfer Proof caps, Quality Engineering , 16 (2), 265-268
    Published, June 2003
  79. Sm. Nandini Das:  Das, N.: Study on implementing control chart assuming negative binomial distribution with varying sample size in a software industry, Software Quality Professional, 6 (1), 1-7,
    Published, March 2003
  80. Sm. Nandini Das:  Das, N. and Das, P.: Optimum Sampling Plan for Bulk Material with Multi-characteristics, Quality Engineering, 10(3), 421-425
    Published, June 1998
  81. Sm. Nandini Das:  Ray, N. and A R Mukherjee.: Controlling Resistance for Improved Performance of Telecommunication cables, Quality World, Technical supplement, March, 19-22
    Published, March 1995