Prof Michael Mutingi

Biography

Brief Career Summary

• 2018+ Associate Professor, Industrial Engineering, Namibia University of Science and Technology
• 2017+ Visiting Associate Professor, University of Johannesburg
• 2014-2018 Senior Lecturer, Industrial Engineering, Namibia University of Science and Technology
• 2011-2014 Lecturer, Industrial Engineering, University of Botswana
• 2011-2011 Research Associate, Electrical and Computer Engineering, National University of Singapore
• 2004-2010 Lecturer, Industrial & Manufacturing Engineering, National University of Science and Technology, Zimbabwe
• 2002-2003 Lecturer, Mechanical Engineering, Bulawayo Polytechnic, Zimbabwe
• 2000-2002 Production Engineer, Olivine Industries Ltd, Zimbabwe
• 1998-1999 Research Fellow, Industrial and Manufacturing Engineering, National University of Science and Technology, Zimbabwe

Professional Affilliations

• ECSA TBC

Research Focus Areas

• Operations Management, Industry 4.0
• Bio-inspired optimisation algorithms in manufacturing and service systems
• Systems thinking, system dynamics simulation and design

Courses Currently Teaching

• Industrial Engineering Methods
• Work Science (Human Factors Engineering)
• Business Analysis
• Optimisation Methods
• Research Techniques and Methodology

Selected Publications

Peer-Reviewed Articles

• Gwangwava N., Mutingi, M. (2018).  E-Manufacturing and E-Service Strategies in Contemporary Organizations, IGI Global, USA ISBN 13 9781522536284
• Mutingi, M. and Mbohwa C. (2017). Grouping Genetic Algorithms: Advances and Applications, Springer, UK, ISBN 978-3-319-44394-2
• Mutingi, M. and Mbohwa C. (2016). Healthcare Staff Scheduling: Emerging Fuzzy Heuristic Approaches, Taylor & Francis Group, USA, ISBN 9781498707961
• Iyambo T., Mutingi, M., Chakraborty, A & Vashishth A. (2021). Perceived Performance of Gasoline Supply Chains: Empirical Evidences from Namibia. Global Business Review (Accepted)
• Muchaendepi W., Mbohwa C., Kanyepe J., Mutingi M. (2019). Challenges faced by the mining sector in implementing sustainable supply chain management in Zimbabwe. Procedia Manufacturing 33, pp. 493–500
• Mutingi, M. and Chakraborty, A. (2019). Quality management practices in Namibian SMEs: An empirical investigation. Global Business Review, pp. 1-15
• Chakraborty, A. and Mutingi, M. and Vashishth, A. (2019). Quality Management Practices in SMEs: A Comparative Study between India and Namibia. Benchmarking: An International Journal, pp. 1463-5771
• Sony, M., Antony, J., Park, S. and Mutingi, M. (2019). Key Criticisms of Six Sigma: A Systematic Literature Review. IEEE Transactions on Engineering Management, pp. 1-13
• Muchaendepi W., Mbohwa C., Kanyepe J. and Mutingi, M. (2019). Challenges faced by the mining sector in implementing sustainable supply chain management in Zimbabwe. Procedia Manufacturing 33, pp. 493–500
• Silombela, T., Mutingi, M., Mashauri, D. and Charkraborty, A. (2018). Impact of quality management tools and techniques – Case of Namibian Municipal Water Distributors. Journal of Quality in Maintenance Engineering 24 (1), pp. 2-21
• Isack H., Mutingi M. and Chakraborty, A., Kandjeke H. (2018). Exploring the adoption of Lean principles in medical laboratory industry: Empirical evidences from Namibia. International Journal of Lean Six Sigma 9 (1), pp.133-155
• Mutingi, M., Mbohwa, C. and Kommula V.P. (2017). System dynamics approaches to energy policy modelling and simulation. Energy Procedia, 141 (2017), pp. 532 - 539.
• Mutingi, M., Mbohwa, C., and Dube P. (2017). System dynamics archetypes for capacity management of energy systems. Energy Procedia, 141 (2017), pp. 199–205.
• Mutingi, M, Dube P, and Mbohwa, C. (2017). A modular product design approach for sustainable manufacturing in a fuzzy environment. Procedia Manufacturing, pp. 471 – 478.
• Mutesi J. Mutingi, M. and Charkraborty, A. (2016). Service quality assessment for internet banking: Empirical evidences from Namibia. e-Service Journal, 10 (1), pp. 42-65
• Mutingi, M., Mbohwa, C. and Kommula, V.P. (2016). Multi-criteria reliability optimization for a complex system with a bridge structure in a fuzzy environment: A fuzzy multi-criteria genetic algorithm approach. Maintenance and Reliability, vol.18 (3), pp. 450-456,
• Mutingi, M. (2016). A fuzzy multi-objective genetic algorithm for system reliability optimization. International Journal of Industrial and Systems Engineering, 22 (1), pp. 1-16
• Mutingi, M., Mbohwa, C. (2015). Nurse Scheduling: A Fuzzy multi-criteria simulated metamorphosis approach. Engineering Letters 23 (3), pp. 222-231
• Mutingi M. (2015). Enhancing decision support in healthcare systems through mHealth. Mobile Health (mHealth): Multidisciplinary Verticals. In Sasan Adib (Ed.), CRC Press, Taylor & Francis, pp 508-522.
• Mutingi M. and Mbohwa C. (2015). Developing multi-agent systems for mHealth drug delivery. Mobile Health (mHealth): A Technology Road Map. In Sasan Adib (Ed.), Springer, vol. 5, 2015, pp 671-683
• Mutingi, M. and Mbohwa, C. (2014). Multi-Objective homecare worker scheduling - A fuzzy simulated evolution algorithm approach. IIE Transactions on Healthcare Systems Engineering, 4 (4), pp. 209-216
• Mutingi, M. and Mbohwa, C. (2014). A Fuzzy-based particle swarm optimization approach for task assignment in home healthcare. South African Journal of Industrial Engineering 25 (3), pp 84-95