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S Srivatsa Srinivas

Personal Details

First Name:S
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Last Name:Srivatsa Srinivas
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RePEc Short-ID:psr84
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Affiliation

Indian Institute of Technology Jodhpur

https://iitj.ac.in/
Jodhpur

Research output

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Jump to: Working papers Articles

Working papers

  1. Zakaria El Hathat & V. G. Venkatesh & V. Raja Sreedharan & Tarik Zouadi & Arunmozhi Manimuthu & Yangyan Shi & S. Srivatsa Srinivas, 2024. "Leveraging Greenhouse Gas Emissions Traceability in the Groundnut Supply Chain: Blockchain-Enabled Off-Chain Machine Learning as a Driver of Sustainability," Post-Print hal-04888405, HAL.

Articles

  1. Sivanandham, S. & Srivatsa Srinivas, S., 2025. "Enhancing food security at the last-mile: A light-weight and scalable decision support system for the public distribution system in India," Socio-Economic Planning Sciences, Elsevier, vol. 98(C).
  2. S Srivatsa Srinivas, 2023. "To increase or to decrease the price? Managing public transport queues during COVID-19 in the presence of strategic commuters," Public Transport, Springer, vol. 15(1), pages 275-285, March.
  3. Srivatsa Srinivas, S. & Marathe, Rahul R., 2021. "Averting adverse selection: The Government of India's scheme to distribute affordable medicines," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
  4. S. Srivatsa Srinivas & Rahul R. Marathe, 2020. "Using queue to signal quality in primary care: The need for further empirical investigation," International Journal of Health Planning and Management, Wiley Blackwell, vol. 35(1), pages 394-396, January.
  5. S. Srivatsa Srinivas & Rahul R. Marathe, 2020. "Equilibrium in a finite capacity M/M/1 queue with unknown service rates consisting of strategic and non-strategic customers," Queueing Systems: Theory and Applications, Springer, vol. 96(3), pages 329-356, December.
  6. S. Srivatsa Srinivas & V. Raja Sreedharan, 2018. "Failure analysis of automobile spares in a manufacturing supply chain distribution centre using Six Sigma DMAIC framework," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 29(3), pages 359-372.
  7. S. Srivatsa Srinivas & M. S. Gajanand, 2017. "Vehicle routing problem and driver behaviour: a review and framework for analysis," Transport Reviews, Taylor & Francis Journals, vol. 37(5), pages 590-611, September.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Zakaria El Hathat & V. G. Venkatesh & V. Raja Sreedharan & Tarik Zouadi & Arunmozhi Manimuthu & Yangyan Shi & S. Srivatsa Srinivas, 2024. "Leveraging Greenhouse Gas Emissions Traceability in the Groundnut Supply Chain: Blockchain-Enabled Off-Chain Machine Learning as a Driver of Sustainability," Post-Print hal-04888405, HAL.

    Cited by:

    1. Antoine Harfouche & Mohammad I. Merhi & Abdullah Albizri & Denis Dennehy & Jason Bennett Thatcher, 2024. "Sustainable Development Through Technological Innovations and Data Analytics," Information Systems Frontiers, Springer, vol. 26(6), pages 1989-1996, December.

Articles

  1. S Srivatsa Srinivas, 2023. "To increase or to decrease the price? Managing public transport queues during COVID-19 in the presence of strategic commuters," Public Transport, Springer, vol. 15(1), pages 275-285, March.

    Cited by:

    1. Jiping Fang & Howard Wong & Taku Fujiyama, 2025. "Modelling distributions of heterogeneous boarders and alighters on metro platforms," Public Transport, Springer, vol. 17(3), pages 835-870, October.
    2. Hiroaki Nishiuchi & Kohei Nishimura & An Minh Ngoc & Charitha Dias, 2024. "Identifying the relationship between intention to use flat-rate public transport and trip frequency by a discrete-continuous model," Public Transport, Springer, vol. 16(2), pages 485-504, June.
    3. Michal Zajfert, 2025. "Urban transport during the COVID-19 pandemic: a case study of Poland," Public Transport, Springer, vol. 17(1), pages 153-176, March.

  2. S. Srivatsa Srinivas & Rahul R. Marathe, 2020. "Equilibrium in a finite capacity M/M/1 queue with unknown service rates consisting of strategic and non-strategic customers," Queueing Systems: Theory and Applications, Springer, vol. 96(3), pages 329-356, December.

    Cited by:

    1. Gabi Hanukov & Efrat Perel & Nir Perel, 2025. "On strategic customers in the group-merging Israeli queue," Queueing Systems: Theory and Applications, Springer, vol. 109(2), pages 1-26, June.
    2. Wei Sun & Xumeng Xie & Zhiyuan Zhang & Shiyong Li, 2024. "Customer joining strategies in Markovian queues with B-limited service rule and multiple vacations," 4OR, Springer, vol. 22(2), pages 211-233, June.
    3. S Srivatsa Srinivas, 2023. "To increase or to decrease the price? Managing public transport queues during COVID-19 in the presence of strategic commuters," Public Transport, Springer, vol. 15(1), pages 275-285, March.
    4. Sylia Abdoun & Samira Taleb, 2025. "Efficiency of a markovian queue with non homogeneous vacations and strategic customers under partial vacation interruption," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 88(2), pages 1-18, June.

  3. S. Srivatsa Srinivas & M. S. Gajanand, 2017. "Vehicle routing problem and driver behaviour: a review and framework for analysis," Transport Reviews, Taylor & Francis Journals, vol. 37(5), pages 590-611, September.

    Cited by:

    1. Zhe Li & Lu Chen & Xiaoni Li, 2026. "A branch-and-price algorithm for the last-mile delivery problem considering drivers’ experience," Operational Research, Springer, vol. 26(2), pages 1-24, June.
    2. Dieter, Peter & Caron, Matthew & Schryen, Guido, 2023. "Integrating driver behavior into last-mile delivery routing: Combining machine learning and optimization in a hybrid decision support framework," European Journal of Operational Research, Elsevier, vol. 311(1), pages 283-300.
    3. Álvarez, Pablo & Serrano-Hernandez, Adrian & Lerga, Iosu & Faulin, Javier, 2024. "Optimizing freight delivery routes: The time-distance dilemma," Transportation Research Part A: Policy and Practice, Elsevier, vol. 190(C).
    4. An, Heungjo, 2019. "Optimal daily scheduling of mobile machines to transport cellulosic biomass from satellite storage locations to a bioenergy plant," Applied Energy, Elsevier, vol. 236(C), pages 231-243.
    5. Zhilan Lou & Wanchen Jie & Shuzhu Zhang, 2020. "Multi-Objective Optimization for Order Assignment in Food Delivery Industry with Human Factor Considerations," Sustainability, MDPI, vol. 12(19), pages 1-17, September.
    6. Myroslav OLISKEVYCH & Stepan KOVALYSHYN & Myron MAGATS & Viktor SHEVCHUK & Oleh SUKACH, 2020. "The Optimization Of Trucks Fleet Schedule In View Of Their Interaction And Restrictions Of The European Agreement Of Work Of Crews," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 15(2), pages 157-170, June.
    7. Quirion-Blais, Olivier & Chen, Lu, 2021. "A case-based reasoning approach to solve the vehicle routing problem with time windows and drivers’ experience," Omega, Elsevier, vol. 102(C).

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