Dr Pankaj Sharma
Senior Lecturer
- PhD, Department of Mechanical Engineering, Indian Institute of Technology, Delhi, India. Thesis Topic: Modelling a Dynamic Time-Separated Lean-Agile Spare Parts Replenishment System for the Army
- M.Tech. in Industrial Engineering, Department of Mechanical Engineering, Indian Institute of Technology, Delhi, India
- B.Tech. in Mechanical Engineering, Jawaharlal Nehru University Delhi, India
UNSW Canberra
School of Business
I am a Senior Lecturer in the School of Business at UNSW Canberra. I obtained my PhD (Industrial Engineering) from the Indian Institute of Technology Delhi in 2017. I have over 21 years of experience handling complex logistics and maintenance operations in the Army. I was a Senior Research Fellow from 2018-2023 in the Centre for Next Generation Logistics (C4NGL) at the National University of Singapore working on the Project "Digital Twin of the Next Generation Warehouse".
E-mail
Location
Building 27, Room 205, School of Business, UNSW Canberra
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- Engagement
- Teaching and Supervision
My research areas are Asset Management, Logistics and Supply Chain Management, Humanitarian Logistics, Spare parts supply management and Advanced technologies in Logistics. The selected list of my publications is below.
Tiwari, S., Sharma, P., Choi, T.M. and Lim, A., 2023. Blockchain and third-party logistics for global supply chain operations: Stakeholders’ perspectives and decision roadmap. Transportation Research Part E: Logistics and Transportation Review,Ìý170, p.103012.
Somarin, A.R., Sharma, P., Tiwari, S. and Chen, S., 2023. Stock reallocation policy for repairable service parts in case of supply disruptions due to extreme weather events. International Journal of Production Economics,Ìý256, p.108743.
Sharma, P., Tiwari, S., Choi, T.M. and Kaul, A., 2022. Big Data Analytics for Crisis Management From an Information Processing Theory Perspective: A Multimethodological Study. IEEE Transactions on Engineering Management.
Li, H., Cao, X., Sharma, P., Lee, L.H. and Chew, E.P., 2020, December. Framework of O 2 DES. NET Digital Twins for Next Generation Ports and Warehouse Solutions. In 2020 Winter Simulation Conference (WSC) (pp. 3188-3199). IEEE.
Sharma, P. and Joshi, A., 2020. Challenges of using big data for humanitarian relief: lessons from the literature. Journal of Humanitarian Logistics and Supply Chain Management,Ìý10(4), pp.423-446.
Sharma, P., Kulkarni, M.S. and Yadav, V., 2017. A simulation-based optimization approach for spare parts forecasting and selective maintenance. Reliability Engineering & System Safety,Ìý168, pp.274-289.
Arya, V., Sharma, P., Singh, A. and De Silva, P.T.M., 2017. An exploratory study on supply chain analytics applied to spare parts supply chain. Benchmarking: An International Journal.
Sharma, P., Kulkarni, M.S. and Parlikad, A., 2017. Capability assessment of Army spare parts replenishment system: Suitability for a dynamic time separated lean-agile supply. Benchmarking: An International Journal,Ìý24(5), pp.1166-1189.
Sharma, P., Baglee, D., Campos, J. and Jantunen, E., 2017. Big data collection and analysis for manufacturing organisations. Big Data and Information Analytics,Ìý2(2), pp.127-139.
Sharma, P. and Kulkarni, M.S., 2016. Bayesian belief network for assessing impact of factors on army’s lean–agile replenishment system. Journal of Military Studies,Ìý7(1), pp.11-23.
Sharma, P. and Kulkarni, M.S., 2016. Framework for a dynamic and responsive: Time separated–lean-agile spare parts replenishment system in army. International Journal of Productivity and Performance Management,Ìý65(2), pp.207-222.
My Teaching
Logistics Management