Dr. Nagesh Shukla
Dr. Nagesh Shukla
Senior Lecturer at School of Information, Systems and Modelling, University of Technology Sydney
Verified email at uts.edu.au - Homepage
Cited by
Cited by
Social media data analytics to improve supply chain management in food industries
A Singh, N Shukla, N Mishra
Transportation Research Part E: Logistics and Transportation Reviews, 2018
Big data analytics and application for logistics and supply chain management
K Govindan, TCE Cheng, N Mishra, N Shukla
Transportation Research Part E: Logistics and Transportation Review 114, 343-349, 2018
Cloud computing technology: Reducing carbon footprint in beef supply chain
A Singh, N Mishra, SI Ali, N Shukla, R Shankar
International Journal of Production Economics 164, 462-471, 2015
Genetic-algorithms-based algorithm portfolio for inventory routing problem with stochastic demand
N Shukla, MK Tiwari, D Ceglarek
International Journal of Production Research 51 (1), 118-137, 2013
Breast cancer data analysis for survivability studies and prediction
N Shukla, M Hagenbuchner, KT Win, J Yang
Computer Methods and Programs in Biomedicine, 2018
Barriers to big data analytics in manufacturing supply chains: A case study from Bangladesh
MA Moktadir, SM Ali, SK Paul, N Shukla
Computers & Industrial Engineering 128, 1063-1075, 2019
Algorithm portfolios for logistics optimization considering stochastic demands and mobility allowance
N Shukla, AK Choudhary, PKS Prakash, KJ Fernandes, MK Tiwari
International Journal of Production Economics 141 (1), 146-166, 2013
Extending the supply chain to address sustainability
F Taghikhah, A Voinov, N Shukla
Journal of Cleaner Production 229, 652-666, 2019
A fuzzy rough sets-based multi-agent analytics framework for dynamic supply chain configuration
N Shukla, S Kiridena
International Journal of Production Research, 2016
A utility-driven approach to supplier evaluation and selection: empirical validation of an integrated solution framework
A Ulutas, N Shukla, S Kiridena, P Gibson
International Journal of Production Research, dx.doi.org/10.1080/00207543 …, 2015
Key characteristics-based sensor distribution in multi-station assembly processes
N Shukla, D Ceglarek, MK Tiwari
Journal of intelligent manufacturing 26 (1), 43-58, 2015
Improved workflow modelling using role activity diagram-based modelling with application to a radiology service case study
N Shukla, JE Keast, D Ceglarek
Computer methods and programs in biomedicine 116 (3), 274-298, 2014
Modeling of CO emissions from traffic vehicles using artificial neural networks
OS Azeez, B Pradhan, HZM Shafri, N Shukla, CW Lee, HM Rizeei
Applied Sciences 9 (2), 313, 2019
Optimal design of fixture layout in a multi-station assembly using highly optimized tolerance inspired heuristic
S Tyagi, N Shukla, S Kulkarni
Applied Mathematical Modelling, 2016
Optimization of system reliability using chaos-embedded self-organizing hierarchical particle swarm optimization
M Bachlaus, N Shukla, MK Tiwari, R Shankar
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of …, 2006
Next Generation Smart Manufacturing and Service Systems using Big Data Analytics
N Shukla, MK Tiwari, G Beydoun
Computers & Industrial Engineering, 2019
Modelling variations in hospital service delivery based on real time locating information
N Shukla, J Keast, D Ceglarek
Applied Mathematical Modelling 38 (3), 878-893, 2014
Integrated model for the batch sequencing problem in a multi-stage supply chain: an artificial immune system based approach
M Shukla, N Shukla, MK Tiwari, FTS Chan
International Journal of Production Research 47 (4), 1015-1037, 2009
Improved and generalized learning strategies for dynamically fast and statistically robust evolutionary algorithms
Y Dashora, S Kumar, N Shukla, MK Tiwari
Engineering Applications of Artificial Intelligence 21 (4), 525-547, 2008
Half a century of Computer Methods and Programs in Biomedicine: A bibliometric analysis from 1970 - 2017
N Shukla, JM Merigó, T Lammers, L Miranda
Computer Methods and Programs in Biomedicine, 2020
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