Nagesh Shukla

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 23

Top Topics

Bullwhip Effect

Stochastic Model

Capacity Planning

Top Venues

Comput. Ind. Eng.

Comput. Methods Programs Biomed.

Int. J. Prod. Res.

Publications

Towfique Rahman, Sanjoy Kumar Paul, Renu Agarwal, Nagesh Shukla, Firouzeh Taghikhah
A viable supply chain model for managing panic-buying related challenges: lessons learned from the COVID-19 pandemic. Int. J. Prod. Res. 62 (10) (2024)
Adel Omar, Ghassan Beydoun, Khin Than Win, Nagesh Shukla, Herbert F. Jelinek, Hector Elias
Cultivating Expertise: Unravelling Type 2 Diabetes Associations through Incremental Knowledge-Based System Development: Ripple Down Rules or Machine Learning. ACIS (2023)
Alptekin Ulutas, Senevi B. Kiridena, Nagesh Shukla, Ayse Topal
A New Fuzzy Stochastic Integrated Model for Evaluation and Selection of Suppliers. Axioms 12 (12) (2023)
Mingshi Wan, Nagesh Shukla, Jinlin Li, Biswajeet Pradhan
Optimization of teleconsultation appointment scheduling in National Telemedicine Center of China. Comput. Ind. Eng. 183 (2023)
Michael James Horry, Subrata Chakraborty, Biswajeet Pradhan, Nagesh Shukla, Sanjoy Kumar Paul
2-speed network ensemble for efficient classification of incremental land-use/land-cover satellite image chips. CoRR (2022)
Towfique Rahman, Sanjoy Kumar Paul, Nagesh Shukla, Renu Agarwal, Firouzeh Taghikhah
Supply chain resilience initiatives and strategies: A systematic review. Comput. Ind. Eng. 170 (2022)
Subodha Dharmapriya, Senevi B. Kiridena, Nagesh Shukla
Multiagent Optimization Approach to Supply Network Configuration Problems With Varied Product-Market Profiles. IEEE Trans. Engineering Management 69 (6) (2022)
Firouzeh Taghikhah, Alexey A. Voinov, Nagesh Shukla, Tatiana Filatova, Mikhail Anufriev
Integrated modeling of extended agro-food supply chains: A systems approach. Eur. J. Oper. Res. 288 (3) (2021)
Dattatray Vishnu Kute, Biswajeet Pradhan, Nagesh Shukla, Abdullah M. Alamri
Deep Learning and Explainable Artificial Intelligence Techniques Applied for Detecting Money Laundering-A Critical Review. IEEE Access 9 (2021)
Towfique Rahman, Firouzeh Taghikhah, Sanjoy Kumar Paul, Nagesh Shukla, Renu Agarwal
An agent-based model for supply chain recovery in the wake of the COVID-19 pandemic. Comput. Ind. Eng. 158 (2021)
Abolfazl Abdollahi, Biswajeet Pradhan, Nagesh Shukla, Subrata Chakraborty, Abdullah M. Alamri
Multi-Object Segmentation in Complex Urban Scenes from High-Resolution Remote Sensing Data. Remote. Sens. 13 (18) (2021)
Michael J. Horry, Subrata Chakraborty, Manoranjan Paul, Anwaar Ulhaq, Biswajeet Pradhan, Manas Saha, Nagesh Shukla
COVID-19 Detection Through Transfer Learning Using Multimodal Imaging Data. IEEE Access 8 (2020)
Abolfazl Abdollahi, Biswajeet Pradhan, Nagesh Shukla, Subrata Chakraborty, Abdullah M. Alamri
Deep Learning Approaches Applied to Remote Sensing Datasets for Road Extraction: A State-Of-The-Art Review. Remote. Sens. 12 (9) (2020)
Nagesh Shukla, José M. Merigó, Thorsten Lammers, Luis Miranda
Half a century of computer methods and programs in biomedicine: A bibliometric analysis from 1970 to 2017. Comput. Methods Programs Biomed. 183 (2020)
Abhishek Sathyanarayana, Nagesh Shukla, Firouzeh Taghikhah
Modelling the Impact of COVID-19 Pandemic on a Hardware Retail Supply Chain. IEEM (2020)
Michelle Dunbar, Simon Belieres, Nagesh Shukla, Mehrdad Amirghasemi, Pascal Perez, Nishikant Mishra
A genetic column generation algorithm for sustainable spare part delivery: application to the Sydney DropPoint network. Ann. Oper. Res. 290 (1) (2020)
Md. Abdul Moktadir, Syed Mithun Ali, Sanjoy Kumar Paul, Nagesh Shukla
Barriers to big data analytics in manufacturing supply chains: A case study from Bangladesh. Comput. Ind. Eng. 128 (2019)
Adel Omar, Ghassan Beydoun, Khin Than Win, Nagesh Shukla
Socio-Technical Perspective on Managing Type II Diabetes. ACIS (2019)
Nagesh Shukla, Manoj Kumar Tiwari, Ghassan Beydoun
Next generation smart manufacturing and service systems using big data analytics. Comput. Ind. Eng. 128 (2019)
Kalpit Patne, Nagesh Shukla, Senevi B. Kiridena, Manoj Kumar Tiwari
Solving closed-loop supply chain problems using game theoretic particle swarm optimisation. Int. J. Prod. Res. 56 (17) (2018)
Nagesh Shukla, Markus Hagenbuchner, Khin Than Win, Jie (Jack) Yang
Breast cancer data analysis for survivability studies and prediction. Comput. Methods Programs Biomed. 155 (2018)
Anupam Keshari, Nishikant Mishra, Nagesh Shukla, Steve McGuire, Sangeeta Khorana
Multiple order-up-to policy for mitigating bullwhip effect in supply chain network. Ann. Oper. Res. 269 (1-2) (2018)
Nagesh Shukla, Vu Lam Cao, Van Hoang Phuong, Marian Shanahan, Allison Ritter, Pascal Perez
Individual-Level Simulation Model For Cost Benefit Analysis In Healthcare. ECMS (2016)
Nagesh Shukla, Dariusz Ceglarek, Manoj Kumar Tiwari
Key characteristics-based sensor distribution in multi-station assembly processes. J. Intell. Manuf. 26 (1) (2015)
Nagesh Shukla, Rohan Wickramasuriya, Andrew Miller, Pascal Perez
An approach to plan and evaluate the location of radiotherapy services and its application in the New South Wales, Australia. Comput. Methods Programs Biomed. 122 (2) (2015)
Nagesh Shukla, John E. Keast, Darek Ceglarek
Improved workflow modelling using role activity diagram-based modelling with application to a radiology service case study. Comput. Methods Programs Biomed. 116 (3) (2014)
Anoop Verma, Nagesh Shukla, Satish K. Tyagi, Nishikant Mishra
Stochastic modelling and optimisation of multi-plant capacity planning problem. Int. J. Intell. Eng. Informatics 2 (2/3) (2014)
Nagesh Shukla, Albert Munoz, Jun Ma, Nam Huynh
Hybrid agent based simulation with adaptive learning of travel mode choices for university commuters (WIP). SpringSim (TMS-DEVS) (2013)
M. R. Nagalakshmi, Mukul Tripathi, Nagesh Shukla, Manoj Kumar Tiwari
Vehicle routing problem with stochastic demand (VRPSD): optimisation by neighbourhood search embedded adaptive ant algorithm (ns-AAA). Int. J. Comput. Aided Eng. Technol. 1 (3) (2009)
Yogesh Dashora, Sanjeev Kumar, Nagesh Shukla, M. K. Tiwari
Improved and generalized learning strategies for dynamically fast and statistically robust evolutionary algorithms. Eng. Appl. Artif. Intell. 21 (4) (2008)