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Sujeet Kumar Singh

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Assistant Professor, Operations & Supply Chain
E-mail: sujeet[at]iimj[dot]ac[dot]in
Phone: +91-7700810022
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Dr Sujeet Kumar Singh is currently working as an Assistant Professor in Operations & Supply Chain area and as  Chairperson (Research and Publication) at Indian Institute of Management (IIM) Jammu. He completed his Ph.D in Operations Research (Mathematics) from Indian Institute of Technology (IIT) Roorkee, subsequently he had worked as a Postdoctoral Research Fellow in National University of Singapore for 3 years. Dr Singh has worked with several optimization problems including polynomial optimization, multi-objective optimization, fuzzy optimization, Fractional programming, vehicle routing problem and transportation problem and supply chain optimization. He has published several journal papers in reputed journals including International journal of production research, Annals of operations research, Applied mathematical modelling, International journal of fuzzy systems etc. He is also a member of International society of global optimization; and is/was editorial board member of Modern management forum and American journal of operations management and information systems.
He also served as a reviewer in several reputed journals such as in Annals of Operations Research, IEEE Transactions on Fuzzy Systems, Computer and Industrial Engineering, International Journal of Fuzzy Systems (Springer), Journal of Intelligent and Fuzzy Systems, IEEE Transactions on Systems, Man and Cybernetics: Systems , International Journal of Machine Learning and Cybernetics, Information Sciences, IJOR, IJSAEM, IJFSA, etc

Ph.D, Indian Institute of Technology Roorkee, India, 2016

MA (Mathematics), Banaras Hindu University, India, 2011

BA(Hons) Mathematics, Vinoba Bhave University, India, 2008

Assistant Professor, Indian Institute of Management Jammu, India, June 2020- Till date

Postdoc Fellow, National University of Singapore, Singapore, 2016-2019

  • Singh, S. K. & Goh, M. (2019). Multi-objective mixed integer programming and an application in a pharmaceutical supply chain. International Journal of Production Research, 57(4), 1214-1237. (ABDC), DOI : https://doi.org/10.1080/00207543.2018.1504172
  • Singh, S. K. & Rani, D. (2019). A branching algorithm to solve binary problem in uncertain environment: An application in machine allocation problem. OPSEARCH, 56, 1007-1023. (ABDC), DOI : https://doi.org/10.1007/s12597-019-00378-z
  • Singh, V., Yadav, S. P. & Singh, S. K. (2019). Duality theory in Atanassov's intuitionistic fuzzy mathematical programming problems: Optimistic, pessimistic and mixed approaches. Annals of Operations Research, (ABDC), DOI : https://doi.org/10.1007/s10479-019-03229-8
  • Singh, S. K. & Yadav, S. P. (2018). Intuitionistic fuzzy multi-objective linear programming problem with various membership functions. Annals of Operations Research, 269(1), 693-707. (ABDC), DOI : https://doi.org/10.1007/s10479-017-2551-y
  • Singh, S. K. & Yadav, S. P. (2016). Fuzzy programming approach for solving intuitionistic fuzzy linear fractional programming problem. International Journal of Fuzzy System, 18(2), 263-269. (SCI/SSCI/ESCI), DOI : https://doi.org/10.1007/s40815-015-0108-2
  • Singh, S. K. & Yadav, S. P. (2016). novel approach for solving fully intuitionistic fuzzy transportation problem. International Journal of Operational Research, 26(4), 460-472. (ABDC), DOI : https://doi.org/10.1504/IJOR.2016.077684
  • Singh, S. K. & Yadav, S. P. (2016). Intuitionistic fuzzy transportation problem with various kinds of uncertainties in parameters and variables. International Journal of System Assurance Engineering and Management, 7(3), 262-272. (Scopus), DOI : https://doi.org/10.1007/s13198-016-0456-9
  • Singh, S. K. & Yadav, S. P. (2016). A new approach for solving intuitionistic fuzzy transportation problem of type-2. Annals of Operations Research, 243(1-2), 349-363. (ABDC), DOI : https://doi.org/10.1007/s10479-014-1724-1
  • Singh, S. K. & Yadav, S. P. (2015). Modeling and optimization of multi objective non-linear programming problem in intuitionistic fuzzy environment. Applied Mathematical Modelling, 39, 4617-4629. (ABDC), DOI : https://doi.org/10.1016/j.apm.2015.03.064
  • Singh, S. K. & Yadav, S. P. (2015). Intuitionistic fuzzy non-linear programming problem: Modeling and optimization in manufacturing systems. Journal of Intelligent and Fuzzy Systems, 28, 1421-1433. (SCI/SSCI/ESCI), DOI : DOI: 10.3233/IFS-141427
  • Singh, S. K. & Yadav, S. P. (2015). Efficient approach for solving type-1 intuitionistic fuzzy transportation problem. International Journal of System Assurance Engineering and Management, 6(3), 259-267. (Scopus), DOI : https://doi.org/10.1007/s13198-014-0274-x
  • Singh, S. K. & Yadav, S. P. (2014). Multiobjective non-linear programming problem in intuitionistic fuzzy environment. Mathematical Sciences International Research Journal: International Conference on Mathematics & Engineering Sciences Chitkara University, (pp.147-151). Chitkara University:
  • Singh, S. K. & Yadav, S. P. (2014). Fuzzy relational programming problem with intuitionistic fuzzy coefficients. Proceedings of the International Conference on Mathematical Sciences: International Conference on Mathematical Sciences Sathyabama University, (pp.430-434). Sathyabama University: Elsevier
  • Zhong, S., Singh, S. K. & Goh, M. (2019). Efficient supplier selection: one way to better inventory control, Optimization and Inventory Management (pp. 255-279 ). DOI: 10.1007/978-981-13-9698-4_15

Quantitative Methods

Statistics

Operations Research

Optimization

Operations Management

Mathematics

Workshop Attended

  1. Advanced Workshop and Tutorial on Operations Research, IIM Indore, India, Aug.22-25, 2012.
  2. Scientific Computing: Theory and Practices, Gurukula Kangri University, Haridwar, India, Oct. 8-13, 2012.

Conference Presentation

  1. Sujeet Kumar Singh and Shiv Prasad Yadav, Algorithmic Approach for solving Balanced IFTP, International Conference on Optimization Modeling and Applications, Dept. of Operational Research University of Delhi, Delhi, India, Nov. 29- Dec. 01, 2012.
  2. Sujeet Kumar Singh and Shiv Prasad Yadav, A New Approach for solving Balanced IFTP of Type-2, International Symposium on Applied Optimization and Game Theoretic Models, Indian Statistical Institute Delhi, Delhi, India, Jan. 9-11, 2013.
  3. Sujeet Kumar Singh and Shiv Prasad Yadav, Multiobjective Non Linear Programming Problem in Intuitionistic Fuzzy Environment, International Conference on Mathematics & Engineering Sciences-2014. Chitkara University, Himachal Pradesh, India, March 20-22, 2014.
  4. Sujeet Kumar Singh and Shiv Prasad Yadav, Fuzzy Relational Programming Problem with Intuitionistic Fuzzy Coefficients, International Conference on Mathematical Sciences, Sathyabama University, Chennai, India, July 17-19, 2014.

Training Course

  1. Attended a training course on AnyLogistix, Supply Chain Analytics Software, Feb 18-20, 2019, Singapore.

  1. Stood top in Mathematics honours examination of the Vinoba Bhave University, 2008.
  2. CSIR-NET-JRF and GATE qualified in Mathematics, 2011.
  3. Offer for faculty position from UIST, Macedonia, 2016, not availed.
  4. Proposed postdoc position from NTU Singapore and Mc Master University Canada, 2016, not availed.
  5. Offer for postdoc position from NUS Singapore, 2016, availed.
  6. Offer for postdoc position from University of Sydney and NTU Singapore, 2019, not availed.
  7. Offer for Senior postdoc position from NUS Singapore 2020 (could not avail due to COVID 19 lockdown).

Membership

  1. International Society of Global Optimization (http://www.globaloptimization.org/)
  2. Editorial board member, Modern Management Forum, Nov 2017-Nov 2018.
  3. Editorial board member, American Journal of Operations Management and Information Systems.