Dr Pankaj Sharma
Lecturer

Dr Pankaj Sharma

  • 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".

Location
Building 27, Room 205, School of Business, UNSW Canberra
  • Books | 2022
    2022, The MANTIS Book, River Publishers, http://dx.doi.org/10.1201/9781003339748
  • Book Chapters | 2020
    Campos J; Sharma P; Cañizo M; Jantunen E; Baglee D; Charramendieta S; Conde A, 2020, 'The Use of Relational and NoSQL Databases in Industrial Asset Management', in Engineering Assets and Public Infrastructures in the Age of Digitalization, Springer International Publishing, pp. 302 - 308, http://dx.doi.org/10.1007/978-3-030-48021-9_34
    Book Chapters | 2017
    2017, 'Application of Open Source Hardware to the Development of Autonomous Maintenance Support Systems', in Advances in Through-life Engineering Services, Springer International Publishing, pp. 333 - 347, http://dx.doi.org/10.1007/978-3-319-49938-3_20
  • Journal articles | 2023
    Somarin AR; Sharma P; Tiwari S; 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, 256, http://dx.doi.org/10.1016/j.ijpe.2022.108743
    Journal articles | 2023
    Tiwari S; Sharma P; Choi TM; 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, 170, http://dx.doi.org/10.1016/j.tre.2022.103012
    Journal articles | 2022
    2022, 'Big Data Analytics for Crisis Management From an Information Processing Theory Perspective: A Multimethodological Study', IEEE Transactions on Engineering Management, pp. 1 - 15, http://dx.doi.org/10.1109/TEM.2022.3209786
    Journal articles | 2020
    Campos J; Sharma P; Albano M; Ferreira LL; Larrañaga M, 2020, 'An open source framework approach to support condition monitoring and maintenance', Applied Sciences (Switzerland), 10, pp. 6360 - 6360, http://dx.doi.org/10.3390/APP10186360
    Journal articles | 2020
    Sharma P; Joshi A, 2020, 'Challenges of using big data for humanitarian relief: lessons from the literature', Journal of Humanitarian Logistics and Supply Chain Management, 10, pp. 423 - 446, http://dx.doi.org/10.1108/JHLSCM-05-2018-0031
    Journal articles | 2019
    2019, 'Energy Saving by Blockchaining Maintenance', Journal of Industrial Engineering and Management Science, 2018, pp. 63 - 88, http://dx.doi.org/10.13052/jiems2446-1822.2018.004
    Journal articles | 2017
    Arya V; Sharma P; Singh A; De Silva PTM, 2017, 'An exploratory study on supply chain analytics applied to spare parts supply chain', Benchmarking: An International Journal, 24, pp. 1571 - 1580, http://dx.doi.org/10.1108/bij-04-2016-0053
    Journal articles | 2017
    Campos J; Sharma P; Gabiria UG; Jantunen E; Baglee D, 2017, 'A Big Data Analytical Architecture for the Asset Management', Procedia CIRP, 64, pp. 369 - 374, http://dx.doi.org/10.1016/j.procir.2017.03.019
    Journal articles | 2017
    Campos J; Sharma P; Jantunen E; Baglee D; Fumagalli L, 2017, 'Business Performance Measurements in Asset Management with the Support of Big Data Technologies', Management Systems in Production Engineering, 25, pp. 143 - 149, http://dx.doi.org/10.1515/mspe-2017-0021
    Journal articles | 2017
    Sharma P; Kulkarni MS; Yadav V, 2017, 'A simulation based optimization approach for spare parts forecasting and selective maintenance', Reliability Engineering & System Safety, 168, pp. 274 - 289, http://dx.doi.org/10.1016/j.ress.2017.05.013
    Journal articles | 2017
    2017, 'Big data collection and analysis for manufacturing organisations', Big Data & Information Analytics, 2, pp. 127 - 139, http://dx.doi.org/10.3934/bdia.2017002
    Journal articles | 2017
    2017, 'Capability assessment of Army spare parts replenishment system', Benchmarking: An International Journal, 24, pp. 1166 - 1189, http://dx.doi.org/10.1108/bij-11-2015-0113
    Journal articles | 2016
    Campos J; Sharma P; Jantunen E; Baglee D; Fumagalli L, 2016, 'The Challenges of Cybersecurity Frameworks to Protect Data Required for the Development of Advanced Maintenance', Procedia CIRP, 47, pp. 222 - 227, http://dx.doi.org/10.1016/j.procir.2016.03.059
    Journal articles | 2016
    Sharma P; Kulkarni MS, 2016, 'Framework for a dynamic and responsive', International Journal of Productivity and Performance Management, 65, pp. 207 - 222, http://dx.doi.org/10.1108/ijppm-07-2014-0113
    Journal articles | 2016
    2016, 'Bayesian belief network for assessing impact of factors on army’s lean–agile replenishment system', Journal of Military Studies, 7, pp. 11 - 23, http://dx.doi.org/10.1515/jms-2016-0002
    Journal articles |
    'Digitalization & Covid-19: An Institutional-Contingency Theoretic Analysis of Supply Chain Digitalization', SSRN Electronic Journal, http://dx.doi.org/10.2139/ssrn.4264549
  • Conference Papers | 2020
    Li H; Cao X; Sharma P; Lee LH; Chew EP, 2020, 'Framework of O2DES.NET Digital Twins for Next Generation Ports and Warehouse Solutions', in Proceedings - Winter Simulation Conference, IEEE, pp. 3188 - 3199, presented at 2020 Winter Simulation Conference (WSC), 14 December 2020 - 18 December 2020, http://dx.doi.org/10.1109/WSC48552.2020.9384111
    Conference Papers | 2019
    Campos J; Sharma P; Albano M; Jantunen E; Baglee D; Ferreira LL, 2019, 'Arrowhead Framework services for condition monitoring and maintenance based on the open source approach', in 2019 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019, IEEE, pp. 697 - 702, presented at 2019 6th International Conference on Control, Decision and Information Technologies (CoDIT), 23 April 2019 - 26 April 2019, http://dx.doi.org/10.1109/CoDIT.2019.8820366
    Conference Papers | 2018
    2018, 'Open Source Analytics Solutions for Maintenance', in 2018 5th International Conference on Control, Decision and Information Technologies (CoDIT), IEEE, presented at 2018 5th International Conference on Control, Decision and Information Technologies (CoDIT), 10 April 2018 - 13 April 2018, http://dx.doi.org/10.1109/codit.2018.8394819
    Conference Papers | 2017
    2017, 'Digitalisation of maintenance', in 2017 2nd International Conference on System Reliability and Safety (ICSRS), IEEE, presented at 2017 2nd International Conference on System Reliability and Safety (ICSRS), 20 December 2017 - 22 December 2017, http://dx.doi.org/10.1109/icsrs.2017.8272846

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 Review170, 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 Economics256, 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 Management10(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 Safety168, 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 Journal24(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 Analytics2(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 Studies7(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 Management65(2), pp.207-222.

My Teaching

Logistics Management