Dr Mukund Nilakantan Janardhanan

Contact Details
Lecturer in Engineering Management
Programme Director- Engineering Design and Management
CEng MIMechE FHEA

Contact Details:

School of Engineering
University Road | Leicester | LE1 7RH | UK

Office: Michael Atiyah 135

t: +44 (0)116 229 7905

Email: mukund.janardhanan@leicester.ac.uk

ORCID ID: ORCID icon http://orcid.org/0000-0002-8170-2738

Google Scholar Profile: Google Scholar


Personal details

Dr Mukund Nilakantan Janardhanan is a Lecturer in Engineering Management. I graduated with a PhD degree in Manufacturing Optimization from Monash University in 2015 supervised by Prof. S.G.Ponnambalam. Prior to joining the University of Leicester, I was a postdoctoral fellow in Aalborg University, Denmark. During my PhD, I had an opportunity to be a visiting scholar to University of Hong Kong and worked under the supervision of Prof. George Huang. While working at Aalborg University, I worked on two industry related projects in the area of drones and schedule optimisation. Supervised many student projects in collaboration with manufacturing and production industries in Denmark.

Research Interests

  • Robotic assembly line balancing
  • Modelling and optimization of manufacturing systems
  • Energy efficient manufacturing systems
  • Evolutionary computation and Intelligent algorithms

Teaching

  • EG7302 Engineering with Management dissertation
  • EG2006 Business Simulation
  • EG7323: Cost Engineering
  • EG7312: Systems Engineering

Selected Publications

Zixiang Li, Mukund Nilakantan Janardhanan & Humyun Fuad Rahman. 2021 Enhanced beam search heuristic for U-shaped assembly line balancing problems, Engineering Optimization, 53:4, 594-608,  DOI: 10.1080/0305215X.2020.1741569

Seenu, N., RM, K.C., Ramya, M.M. and Janardhanan, M.N., 2020. Review on state-of-the-art dynamic task allocation strategies for multiple-robot systems. Industrial Robot: the international journal of robotics research and application. Vol. 47 No. 6, pp. 929-942. https://doi.org/10.1108/IR-04-2020-0073

Li, Z., Janardhanan, M.N. and Ponnambalam, S.G., 2020. Cost-oriented robotic assembly line balancing problem with setup times: multi-objective algorithms. Journal of Intelligent Manufacturing, https://doi.org/10.1007/s10845-020-01598-7

Li, Z., Janardhanan, M.N., Tang, Q. and Ponnambalam, S.G., 2019. Model and metaheuristics for robotic two-sided assembly line balancing problems with setup times. Swarm and Evolutionary Computation, 50, p.100567.

Li, Z., Janardhanan, M.N., Ashour, A.S. and Dey, N., 2019. Mathematical models and migrating birds optimization for robotic U-shaped assembly line balancing problem. Neural Computing and Applications, 31(12), pp.9095-9111.

Janardhanan, M.N., Li, Z. and Nielsen, P., 2019. Model and migrating birds optimization algorithm for two-sided assembly line worker assignment and balancing problem. Soft Computing23(21), pp.11263-11276.

Marinelli, M., Deshmukh, A.-A., Janardhanan, M. & Nielsen I. 2021, Lean manufacturing and Industry 4.0 combinative application: Practices and perceived benefits, 17th IFAC Symposium on Information Control Problems in Manufacturing, 7-9 June 2021.

Ayodimeji, Z.A., Janardhanan, M., Marinelli, M., & Patel, I (2020), Adoption of Smart Homes in the UK: Customers’ Perspective, 2nd International Conference on Future Learning Aspects of Mechanical Engineering (FLAME 2020), ‘Lecture notes in Mechanical Engineering.

Marinelli, M., Janardhanan, M. & Koumi, N. (2020),  An explorative analysis of the IoT applications in Cold Chain Logistics, 2nd International Conference on Future Learning Aspects of Mechanical Engineering (FLAME 2020), ‘Lecture notes in Mechanical Engineering.

Rajaram, R., Jawahar, N., Ponnambalam, S.G. and Janardhanan, M.N., 2019. Multi-Objective Optimization of Economic and Environmental Aspects of a Three-Echelon Supply Chain. In Industry 4.0 and Hyper-Customized Smart Manufacturing Supply Chains (pp. 127-158). IGI Global.

Rahman, H.F., Janardhanan, M.N. and Nielsen, P.A., 2019. Smart Make-to-Order Production in a Flow Shop Environment for Industry 4.0. In Industry 4.0 and Hyper-Customized Smart Manufacturing Supply Chains (pp. 210-243). IGI Global.

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