Dr Schalk Grobbelaar

Dr. Schalk Grobbelaar
+27 82 8858985
[email protected]

  • PhD (Engineering Management), UP
  • Government Certificate of Competency, Mechanical Engineering (Factories)
  • M.Eng (Technology Management), UP
  • B.Eng (Hon) (Management of Technology), UP
  • B.Eng (Mechanical Engineering), SU
  • Professional Engineer (Pr.Eng). Engineering Council of South Africa
  • Member of Mensa – The International High IQ Society
  • Member of ICMEESA (The Institution of Certificated Mechanical and Electrical Engineers, South Africa)
  • Member of IPMA (International Project Management Association)
  • Innovation Management
  • Technology Management
  • Risk Management
  • The adoption of Timber Construction
  • Technology & Innovation Management
  • Risk Management
  • The promotion of Timber Construction in South Africa
  • York Timbers funds multidisciplinary Chair in wood structural engineering at UP
  • Nethamba, L., & Grobbelaar, S. (2023). The development of an action priority matrix and technology roadmap for the implementation of data-driven and machine-learning-based predictive maintenance in the South African railway industry. South African Journal of Industrial Engineering, 34(3), 318-335.
  • Lekarapa, M. & Grobbelaar, S. (2022), Evaluation of Budgeting Methods for Maintenance of Heritage Buildings, South African Journal of Industrial Engineering
  • Bisschoff, R.A.D.P. & Grobbelaar, S. (2022), Evaluation of data-driven decision making implementation in the mining industry, South African Journal of Industrial Engineering
  • Loots, M., Grobbelaar, S. & Van der Lingen, E. (2022), A review of remote-sensing unmanned air vehicles in the mining industry, Journal of the Southern African Institute of Mining and Metallurgy
  • Grobbelaar, S. & Oosthuizen, R. (2022), A reflection of Southern Forests: A Journal of Forest Science using bibliometrics, Southern Forests: A Journal of Forest Science
  • Grobbelaar, S. & Visser, J.K. (2021), An Analysis of South African Sawmilling Competitiveness, Southern Forests: A Journal of Forest Science, Vol 83, No 1, pp. 28-37
  • Grobbelaar, S. & Visser, J.K. (2015), Determining the cost of predictive component replacement in order to assist with maintenance decision-making, South African Journal of Industrial Engineering, Vol 26, No 1, pp. 150-162
  • Pieterse, W., Grobbelaar, S. & Visser, J.K. (2014), Evaluating the ability of decision-makers to estimate risks effectively in industrial applications, South African Journal of Industrial Engineering, Vol 25, No 3, pp. 9-24
  • Coetsee, N. & Grobbelaar, S. (2023), WikiHouse: A Sustainable Alternative to the South African Housing Problem, 17th Built Environment Conference, 9 October – 10 October 2023, CSIR Conference Centre, Pretoria
  • Tshavhungwe, V. & Grobbelaar, S. (2023), Exploring the Tangible and Intangible Resources of the South African Sawmills: A Resource-Based View Approach, ISEM 2023 International Conference on Industrial Engineering, Systems Engineering and Engineering Management, Somerset West, South Africa, pp. [106]-1 – [106]-15
  • Maphanga, W., Visser, J.K. & Grobbelaar, S. (2023), Scoping Review - A Roadmap to the Successful Implementation of Outsourcing Maintenance Activities within the South African Pulp and Paper Industry, ISEM 2023 International Conference on Industrial Engineering, Systems Engineering and Engineering Management, Somerset West, South Africa, pp. [194]-1 – [194]-18
  • Lekarapa, M. & Grobbelaar, S. (2023), Examining the Difficulties in Budget Development for Heritage Building Projects, ISEM 2023 International Conference on Industrial Engineering, Systems Engineering and Engineering Management, Somerset West, South Africa, [47]-1 – [47]-15
  • Oosthuizen, R., & Grobbelaar, S. (2023, June). Machine Learning-Based Bibliometric Analysis of Systems Thinking Research. In 2023 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) pp. 1-9.
  • Maliehe, T. & Grobbelaar, S. (2023), Evaluating Frugal Innovation Opportunities For The South African Timber Construction Industry, IAMOT Conference, July 8-11, Porto, Portugal
  • Singh, C. & Grobbelaar, S. (2023), Innovation Patterns In Timber Design, IAMOT Conference, July 8-11, Porto, Portugal
  • Grobbelaar, S. (2022), Developing an operations research Monte Carlo simulation with Real Statistics Using Excel, 10th System Dynamics Conference
  • Grobbelaar, S. (2022), Using a Free Excel Add-in and Monte Carlo Simulations to Perform Project Risk Analysis, INCOSE SA 16TH ANNUAL Systems Engineering Conference Proceedings, pp. 177-189
  • Nethamba, L. & Gobbelaar, S. (2022), Considerations for the Development of a Data-Driven and Machine Learning-Based Predictive Maintenance Implementation Plan for The South African Railway Industry, 2022 ASEM Hybrid International Annual Conference (HIAC)

 

 

 

- Author Christopher Njaravani

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