Dr. Nila B

@cusat.ac.in

Post Doctoral Researcher, Department of Mathematics
Cochin University of Science and Technology

Dr. Nila B


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https://researchid.co/nilab04

RESEARCH, TEACHING, or OTHER INTERESTS

Decision Sciences, Management Science and Operations Research
6

Scopus Publications

201

Scholar Citations

5

Scholar h-index

4

Scholar i10-index

Scopus Publications

  • Integrating LOPCOW-DOBI method and possibilistic programming for two-stage decision making in resilient food supply chain network
    Pavan Sharma, B. Nila, Dragan Pamucar, Jagannath Roy
    Journal of Industrial Information Integration, 2025
    This study focuses on resilient supplier selection and order allocation — two crucial aspects of modern supply chain management (SCM). Globalization and strategic sourcing expose supply chains to disruptions, making resilient sourcing strategies essential for adapting to fluctuations in supply and demand. This paper proposes a novel integrated hybrid model that combines multi-attribute decision-making (MADM) with a possibilistic multi-objective programming model (PMOPM) to enhance decision-making in supply chain resilience (SCR). In the first stage, we present an MADM model that integrates the LOgarithmic Percentage Change-driven Objective Weighting (LOPCOW) and DOmbi Bonferroni (DOBI) methods. The LOPCOW-DOBI method enables decision-makers (e.g., purchasing team) to evaluate and rank multiple suppliers based on normal business criteria ( N B C ) and resilient pillars ( R P s ). In the second stage, a PMOPM is employed to determine optimal order allocations when supply, demand, and cost parameters are fuzzy in nature. The quantitative and qualitative evaluation of decision-makers’ opinions is integrated into mathematical optimization by combining the MADM output with PMOPM. Using the ϵ -constraint method, the model was optimized to obtain Pareto solutions , with the final solution identified via the global criteria method. A real-world food industry case study validated the MADM-PMOPM model. Our results show that suppliers with higher resilience performance receive larger orders. Sensitivity analysis confirms that the two-stage model consistently delivers stable and adaptable solutions. Comparative analysis further demonstrates that the proposed approach is effective and reliable for rational decision-making.
  • Evaluation of Resilient 4PL Provider for Online Plant Store: An Intuitionistic Fuzzy DOBI Approach
    B. Nila, Jagannath Roy
    International Series in Operations Research and Management Science, 2025
  • Analysing the Key Success Factors of Logistics Center 4.0 Implementation Using Improved Pythagorean Fuzzy DEMATEL Method
    B. Nila, Jagannath Roy
    Arabian Journal for Science and Engineering, 2024
  • Analysis of Critical Success Factors of Logistics 4.0 using D-number based Pythagorean Fuzzy DEMATEL method
    Bindu Nila, Jagannath Roy
    Decision Making Advances, 2024
    Logistics 4.0 is a concept related to Industry 4.0, encompassing skills and notions of supply chain organization, integrating logistics with advanced technology in order to satisfy consumer demand for customized goods and services. Industry 4.0 is transforming businesses and supply chains through advanced technologies like analytics, big data, Internet of things, and cyber-physical systems, enhancing warehousing, manufacturing, and logistics. Logistics 4.0 can be regulated by properly analyzing specific Critical Success Factors using a Multi-Criteria Decision Making model in uncertain or ambiguous circumstances. Hence, it is necessary to explore the CSFs while bringing logistics 4.0 into action. These CSFs are interlinked, and this interlinkage is examined through the D-number-based Pythagorean fuzzy Decision Making Trial and Evaluation Laboratory method, which is suitable for group decision-making in incomplete and uncertain data. The proposed research paradigm incorporates the abilities of Trapezoidal Pythagorean Fuzzy Numbers for dealing with fuzziness and D-Numbers for getting an improved and further precise decision from a heterogeneous group of decision-makers using their linguistic choices. Additionally, it is adaptive and versatile in managing the intrinsic uncertainty brought on by ambiguous and subjective information.
  • Designing and analyzing drone-based city logistics solutions for Kochi using a Fuzzy Multi-Criteria decision making framework
    B. Nila, Dragan Pamucar, Jagannath Roy
    Environment Development and Sustainability, 2024
  • A new hybrid MCDM framework for third-party logistics provider selection under sustainability perspectives
    Nila B., Jagannath Roy
    Expert Systems with Applications, 2023

RECENT SCHOLAR PUBLICATIONS

  • Evaluation of Resilient 4PL Provider for Online Plant Store: An Intuitionistic Fuzzy DOBI Approach
    B Nila, J Roy
    Outsourcing Using Operations Research and Management Science Methods: From … , 2025
    2025
  • Fuzzy DOBI Approach
    B Nila, J Roy
    Outsourcing Using Operations Research and Management Science Methods: From … , 2025
    2025
  • Integrating LOPCOW-DOBI method and possibilistic programming for two-stage decision making in resilient food supply chain network
    P Sharma, B Nila, D Pamucar, J Roy
    Journal of Industrial Information Integration 46, 100847 , 2025
    2025
    Citations: 10
  • Designing and analyzing drone-based city logistics solutions for Kochi using a Fuzzy Multi-Criteria decision making framework
    B Nila, D Pamucar, J Roy
    Environment, Development and Sustainability, 1-36 , 2024
    2024
    Citations: 9
  • Analysis of Critical Success Factors of Logistics 4.0 using D-number based Pythagorean Fuzzy DEMATEL method
    B Nila, J Roy
    Decision Making Advances 2 (1), 92-104 , 2024
    2024
    Citations: 37
  • Analysing the Key Success Factors of Logistics Center 4.0 Implementation Using Improved Pythagorean Fuzzy DEMATEL Method
    B Nila, J Roy
    Arabian Journal for Science and Engineering 49, 11883-11905 , 2023
    2023
    Citations: 21
  • A new hybrid MCDM framework for third-party logistic provider selection under sustainability perspectives
    B Nila, J Roy
    Expert Systems with Applications 234, 121009 , 2023
    2023
    Citations: 124

MOST CITED SCHOLAR PUBLICATIONS

  • A new hybrid MCDM framework for third-party logistic provider selection under sustainability perspectives
    B Nila, J Roy
    Expert Systems with Applications 234, 121009 , 2023
    2023
    Citations: 124
  • Analysis of Critical Success Factors of Logistics 4.0 using D-number based Pythagorean Fuzzy DEMATEL method
    B Nila, J Roy
    Decision Making Advances 2 (1), 92-104 , 2024
    2024
    Citations: 37
  • Analysing the Key Success Factors of Logistics Center 4.0 Implementation Using Improved Pythagorean Fuzzy DEMATEL Method
    B Nila, J Roy
    Arabian Journal for Science and Engineering 49, 11883-11905 , 2023
    2023
    Citations: 21
  • Integrating LOPCOW-DOBI method and possibilistic programming for two-stage decision making in resilient food supply chain network
    P Sharma, B Nila, D Pamucar, J Roy
    Journal of Industrial Information Integration 46, 100847 , 2025
    2025
    Citations: 10
  • Designing and analyzing drone-based city logistics solutions for Kochi using a Fuzzy Multi-Criteria decision making framework
    B Nila, D Pamucar, J Roy
    Environment, Development and Sustainability, 1-36 , 2024
    2024
    Citations: 9
  • Evaluation of Resilient 4PL Provider for Online Plant Store: An Intuitionistic Fuzzy DOBI Approach
    B Nila, J Roy
    Outsourcing Using Operations Research and Management Science Methods: From … , 2025
    2025
  • Fuzzy DOBI Approach
    B Nila, J Roy
    Outsourcing Using Operations Research and Management Science Methods: From … , 2025
    2025