Mukund Nilakantan Janardhanan
Mukund Nilakantan Janardhanan
Lecturer in Engineering Management, University of Leicester
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TitleCited byYear
An investigation on minimizing cycle time and total energy consumption in robotic assembly line systems
JM Nilakantan, GQ Huang, SG Ponnambalam
Journal of Cleaner Production 90, 311-325, 2015
An effective hybrid cuckoo search and genetic algorithm for constrained engineering design optimization
G Kanagaraj, SG Ponnambalam, N Jawahar, JM Nilakantan
Engineering Optimization 46 (10), 1331-1351, 2014
Robotic U-shaped assembly line balancing using particle swarm optimization
J Mukund Nilakantan, SG Ponnambalam
Engineering Optimization 48 (2), 231-252, 2016
Bio-inspired search algorithms to solve robotic assembly line balancing problems
JM Nilakantan, SG Ponnambalam, N Jawahar, G Kanagaraj
Neural Computing and Applications 26 (6), 1379-1393, 2015
Comprehensive review and evaluation of heuristics and meta-heuristics for two-sided assembly line balancing problem
Z Li, I Kucukkoc, JM Nilakantan
Computers & Operations Research 84, 146-161, 2017
Co-evolutionary particle swarm optimization algorithm for two-sided robotic assembly line balancing problem
Z Li, MN Janardhanan, Q Tang, P Nielsen
Advances in Mechanical Engineering 8 (9), 1687814016667907, 2016
Multi-objective co-operative co-evolutionary algorithm for minimizing carbon footprint and maximizing line efficiency in robotic assembly line systems
JM Nilakantan, Z Li, Q Tang, P Nielsen
Journal of cleaner production 156, 124-136, 2017
Task scheduling system for UAV operations in indoor environment
Y Khosiawan, Y Park, I Moon, JM Nilakantan, I Nielsen
Neural Computing and Applications, 1-29, 2018
An efficient PSO for type II robotic assembly line balancing problem
JM Nilakantan, SG Ponnambalam
2012 IEEE International Conference on Automation Science and Engineering …, 2012
Design of energy efficient RAL system using evolutionary algorithms
MJ Nilakantan, SG Ponnambalam, N Jawahar
Engineering Computations 33 (2), 580-602, 2016
Mathematical model and metaheuristics for simultaneous balancing and sequencing of a robotic mixed-model assembly line
Z Li, MN Janardhanan, Q Tang, P Nielsen
Engineering Optimization 50 (5), 877-893, 2018
Differential evolution algorithm for solving RALB problem using cost-and time-based models
JM Nilakantan, I Nielsen, SG Ponnambalam, S Venkataramanaiah
The International Journal of Advanced Manufacturing Technology 89 (1-4), 311-332, 2017
Material supply scheduling in a ubiquitous manufacturing system
I Nielsen, NAD Do, ZA Banaszak, MN Janardhanan
Robotics and Computer-Integrated Manufacturing 45, 21-33, 2017
Minimizing energy consumption in a U-shaped robotic assembly line
JM Nilakantan, SG Ponnambalam, GQ Huang
2015 International Conference on Advanced Mechatronic Systems (ICAMechS …, 2015
Scheduling system for multiple unmanned aerial vehicles in indoor environments using the CSP approach
Y Park, Y Khosiawan, I Moon, MN Janardhanan, I Nielsen
International Conference on Intelligent Decision Technologies, 77-87, 2016
Artificial bee colony algorithms for two-sided assembly line worker assignment and balancing problem
MN Janardhanan, Z Li, P Nielsen, Q Tang
International Symposium On Distributed Computing and Artificial Intelligence …, 2017
Application of particle swarm optimization to maximize efficiency of straight and U-shaped robotic assembly lines
MN Janardhanan, P Nielsen, SG Ponnambalam
Distributed Computing and Artificial Intelligence, 13th International …, 2016
Traffic flow routing and scheduling in a food supply network
G Bocewicz, MN Janardhanan, D Krenczyk, Z Banaszak
Industrial Management & Data Systems 117 (9), 1972-1994, 2017
Tool speed and polarity effects in micro-EDM drilling of 316L stainless steel
J Cyril Pilligrin, P Asokan, J Jerald, G Kanagaraj, J Mukund Nilakantan, ...
Production & Manufacturing Research 5 (1), 99-117, 2017
Redesign of an in-market food processor for manufacturing cost reduction using DFMA methodology
A Harlalka, CD Naiju, MN Janardhanan, I Nielsen
Production & Manufacturing Research 4 (1), 209-227, 2016
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