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Dr. Ranu

Dr. Ranu Sheoran

  • Email: ranu@niilmuniversity.ac.in
  • Designation: Assistant professor
About

NIILM University is a prestigious institution dedicated to academic excellence, research, and innovation. It offers a wide range of undergraduate, postgraduate, and doctoral programs across disciplines like science, technology, management, humanities, and more. With world-class infrastructure, experienced faculty, and strong industry links, the university nurtures future leaders and global professionals.

Professional Activities

Professional Development Activities

(Faculty Development Programmes (FDPs) / Short-Term Courses

  • Participated in STC on Data Science using R, organized by NITTTR, Chandigarh, 17–21 July 2023.

  • Attended One-Week ICT Course on “Applied Mathematics with MATHEMATICA”, organized by NITTTR, Chandigarh, 15–19 July 2024.

  • Participated in FDP on Research Methodology and Scientific Components for an Empirical Study, organized by Genesis of Educational Impressions, Roorkee, 15–21 April 2021.

  • Participated in FDP on Advanced Tools and Techniques for Scientific Research Writing and Publication (ATTSRWP-2022), University of Engineering & Management, Jaipur, 12–18 September 2022.

  • Participated in Integrated Computational Mathematics, Data Science, and Statistical Modelling (ICMDSM-2025), University of Engineering & Management, Jaipur, 08–12 December 2025.

Workshops / Webinars

  • Attended National Seminar on Teacher Empowerment via Quality Enhancement, Shah Satnam Ji College of Education, 30 January 2014.

  • Participated in International Workshop on “Plagiarism & Reference Management using AI Tools & Mendeley”, A2Z EduLearningHub, 02–03 October 2025.

  • Attended National Webinar on Integrated Approach in Science and Technology for a Sustainable Future, Gandhi Memorial National College, Ambala Cantt, 11 February 2022.

  • Participated in Workshop on Materials and Manufacturing: Insights to Modern Technologies (MMIMT-2022), BIT Sindri, Dhanbad, 01–05 August 2022.

  • Attended Wolfram Mathematica Version-12 Training Tutorial, 27 July 2022.

  • Participated in Internship & Skill Enhancement Workshop, organized by NEP Cell, Chaudhary Ranbir Singh University, Jind, 06 February 2025.

  • Participated in the International Workshop on “Plagiarism & References Management using AI Tools & Mendeley" organized by Department of Research & Publications, A2Z EduLearningHub on 2nd & 3rd October 2025.

  • Participated in IP Awareness/Training program under National Intellectual Property Awareness Mission on September 09, 2025

MOOCs / Online Certification Courses

  • Successfully completed SWAYAM Course on “E-Content Development”, NITTTR Chennai (3 credits), July 2022.

  • Successfully completed SWAYAM Course on “Essential Mathematics for Machine Learning”, IIT Roorkee (3 credits), October 2023.

  • Successfully completed SWAYAM Course on “Introduction to Machine Learning”, IIT Delhi (3 credits), October 2023.

  • Completed Certification Course on “Optimization with Python: Solved Operations Research Problems”, Udemy, January 2023.

Conference Participation & Research Presentations

1.     An Inventory Model for the Association Between Retailer and Supplier for a Finite Planning Horizon with Carbon Emission-Dependent Demand, International AIP Conference on Materials for Emerging Technologies-2021 (ICMET-21), Volume 2800, Issue 1, 09/08/2023, 10.1063/5.0162943

2.   An Inventory Model for Perishable Items with Exponential Demand, International AIP Conference on Materials for Emerging Technologies-2021 (ICMET-21), Volume 2800, Issue 1, 09/08/2023, 10.1063/5.0162923

3.    Single Supplier- Retailer Inventory Model for Deteriorating Items with Linear Decreasing Demand, International AIP Conference on Materials for Emerging Technologies-2021 (ICMET-21), Volume 2800, Issue 1, 09/08/2023, 10.1063/5.0162939

 

Books/ Patents/ Projects

Book Chapters

  •  
  • Sheoran, R. (Year). Carbon Emission Policy Integration: A Comprehensive Review of Supply Chain Management Strategies. In Advancements in Computational Mathematics (ISBN: 978-81-19334-65-0).
  • Deshmukh, S., Barmavatu, P., Sheoran, R., Kumar, R. V., et al. (2026). Computational Fluid Dynamics and Neural Networks for Combustion Systems. In: Artificial Intelligence and Machine Learning in Heat Transfer Optimization for Sustainable Energy Systems. CRC Press. https://doi.org/10.1201/9781003647782-7
  • Aishwarya, M., Heeraman, J., Babu, B. S., Bindu, G. H., Sheoran, R., et al. (2026). Hybrid Artificial Intelligence Techniques for Multiphysics Heat Transfer Problems. In: Artificial Intelligence and Machine Learning in Heat Transfer Optimization for Sustainable Energy Systems. CRC Press. https://doi.org/10.1201/9781003647782-15
  • Ranu, Mishra, N. K., Namwad, R. S., Heeraman, J., & Jain, P. (Accepted). Optimizing Supply Chain Efficiency with Mathematica: Mathematical and Statistical Methods for Finite Planning Horizons. In: Integrative Approaches to Quality, Data Analysis, and Interdisciplinary Research. Apple Academic Press (ISBN: 9781779641007).
  • Sheoran, R. (Accepted). Exploring Decentralized Inventory Strategies: A Study. In: Integrative Approaches to Quality, Data Analysis, and Interdisciplinary Research. Apple Academic Press (ISBN: 9781779641007).

Book Published:

1.    Dr. Ranu Sheoran, Dr. Renuka Sheshrao Namwad, and Anshu Sheoran. Computer Programming with MATLAB. Notion Press, 2026. ISBN 979-8902965268.

2.  Dr. Ranu Sheoran, Dr. Renuka Sheshrao Namwad, and Anshu Sheoran. Mathematics Formula Book. Notion Press, 2026. ISBN 9798902695998.

3.     Dr. Anshu Sheoran, Renuka Sheshrao Namwad, and Dr. Prerna Jain. Applied Mathematics. Notion Press, 2026. ISBN-979-8903427840

  1.  

Copyrights (Intellectual Property Rights)

  • A Program in Mathematica to Find an Optimal Inventory Replenishment Schedule with a Breakeven Point between Producer and Retailer,
    Copyright No.: L-125636/2023, Diary No.: 3622/2023-CO/L.

  • The Inventory Management Model for Deteriorating Items Considering Payment Options and Carbon Tax and Cap Policy,
    Copyright No.: L-127806/2023, Diary No.: 10698/2023-CO/L.

  • A Model for Carbon Regulations Leveraging Advertisement Efforts to Enhance Supply Chain Efficiency,
    Copyright No.: L-127808/2023, Diary No.: 11222/2023-CO/L.

  • Inventory Supply Chain Management Incorporating Carbon Emission Policies within Finite Planning Horizon,
    Copyright No.: L-134211/2023, Diary No.: 18504/2023-CO/L. 

Published Research Articles (Scopus Indexed)

  1. Mishra, N.K., Ranu. (2022). “A supply chain inventory model for deteriorating products with carbon emission-dependent demand, advanced payment, carbon tax and cap policy.” Mathematical Modelling of Engineering Problems, Vol. 9, No. 3, pp. 615-627. https://doi.org/10.18280/mmep.090308. ISSN:  2369-0739 (print); 2369-0747 (online) Q2 Scopus-Indexed.
  1. Ranu, Mishra, N.K. (2023). “A collaborating supply chain inventory model including linear time-dependent, inventory, and advertisement-dependent demand considering carbon regulations.” Mathematical Modelling of Engineering Problems, Vol. 10, No. 1, pp. 227-235. https://doi.org/10.18280/mmep.100126.  ISSN:  2369-0739 (print); 2369-0747 (online) Q2 Scopus-Indexed.
  1. Mishra, N.K., Ranu. (2023).  “Analyse the carbon regulation for a production system with rework process of defective production under a finite planning horizon (FPH)”. European Chemical Bulletin, Vol. 12, No. 3, pp. 1718-1748. ISSN 2063-5346, Q3 Scopus-Indexed. DOI 10.31838/ecb/2023.12.3.126
  1. Mishra, N.K., Ranu. (2023). A supply chain inventory model for a deteriorating material under a finite planning horizon with the carbon tax and shortage in all cycles. Journal Européen des Systèmes Automatisés, Vol. 56, No. 2, pp. 221-230. https://doi.org/10.18280/jesa.560206 ISSN:1269-6935 and E-ISSN:2116-7087, Q3 Scopus-Indexed.
  1. Nitin Kumar Mishra, Ajay Pratap Singh, Ranu, and Sakshi Sharma “To analyse Weibull demand in the production inventory model under a finite planning horizon” European Chemical Bulletin, Vol. 12, No. 3, pp. 1571-1583. ISSN 2063-5346. doi: 10.31838/ecb/2023.12.3.117
  1. Nitin Kumar Mishra, Anushka Sharma, Ranu, and Renuka S Namwad, “Formulating a finite planning horizon model for Inventory Management, incorporating Linear Demand, Exponential Deterioration, and Trade Credit Policy.” European Chemical Bulletin, ISSN 2063-5346.   10.48047/ecb/2023.12.4.186
  1. Namwad, R.S., Mishra, N.K., Ranu. (2023). Trade credit and preservation technologies: An inventory replenishment model for a sustainable supply chain. Journal Européen des Systèmes Automatisés, Vol. 56, No. 6, pp. 1027-1041. https://doi.org/10.18280/jesa.560613  
  1. Mishra, N.K., Jain, P., Ranu. (2024). Blockchain-enhanced inventory management in decentralized supply chains for finite planning horizons. Journal Européen des Systèmes Automatisés, Vol. 57, No. 1, pp. 263-272. https://doi.org/10.18280/jesa.570125
  1. Mishra, N.K., Jain, P., Ranu, Tiwari, A. (2024). Inventory models under carbon tax and cap-and-trade policies: A comparative analysis of decentralized and centralized approaches. Journal Européen des Systèmes Automatisés, Vol. 57, No. 2, pp. 505-516.  https://doi.org/10.18280/jesa.570220

10.  Mishra, N.K., Namwad, R.S., Ranu. (2024). A replenishment policy for an inventory model with price-sensitive demand with linear and quadratic back order in a finite planning horizon. Mathematical Modelling of Engineering Problems, Vol. 11, No. 6, pp. 1537-1546. https://doi.org/10.18280/mmep.110614

11.  Namwad, R.S., Mishra, N.K., Ranu, Jain, P. (2024). Optimizing inventory management with seasonal demand forecasting in a fuzzy environment. Journal Européen des Systèmes Automatisés, Vol. 57, No. 4, pp. 1091-1102. https://doi.org/10.18280/jesa.570416

12.  Ranu, Mishra, N.K. A Three-Level Refrigeration Supply Chain Inventory Model Including Linear Time-Dependent Demand for Temperature-Sensitive Items Considering Carbon Tax Regulations. Oper. Res. Forum 6, 74 (2025). https://doi.org/10.1007/s43069-025-00470-9

 13.  Prerna Jain, Nitin Kumar Mishra, Ranu Sheoran, and Renuka S. Namwad, Optimizing Inventory Management with a Stackelberg Game Approach: A Retailer-Manufacturer Model, Advances in Applied Operations Research and Analytics for Business Intelligence, DOI: 10.1007/978-981-95-5429-4_4

 

 

Professional Affiliations:

No professional affiliations available.

Qualifications: Phd

Work Experience: 2

Research Interest: Applied Mathematics

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