Sushil Punia

According to our database, Sushil Punia authored at least 12 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

An AI-Based Framework for Interpretable Mental Health Literacy Segmentation and Decision Support.

Antara Ravindra Sarode, M. Vimala Rani, Basudeb Das, Umesh S, Sushil Punia

IEEE J. Biomed. Health Informatics, December, 2025

2024

Intermittent demand, inventory obsolescence, and temporal aggregation forecasts.

Kamal Sanguri, Sabyasachi Patra, Konstantinos Nikolopoulos, Sushil Punia

Int. J. Prod. Res., March, 2024

Forecasting and planning for a critical infrastructure sector during a pandemic: Empirical evidence from a food supply chain.

Tariq Aljuneidi, Sushil Punia, Aida Jebali, Konstantinos Nikolopoulos

Eur. J. Oper. Res., 2024

2023

Forecast reconciliation in the temporal hierarchy: Special case of intermittent demand with obsolescence.

Kamal Sanguri, Sabyasachi Patra, Sushil Punia

Expert Syst. Appl., May, 2023

2022

Predictive analytics for demand forecasting: A deep learning-based decision support system.

Sushil Punia, Sonali Shankar

Knowl. Based Syst., 2022

Hierarchical container throughput forecasting: The value of coherent forecasts in the management of ports operations.

Kamal Sanguri, Sonali Shankar, Sushil Punia, Sabyasachi Patra

Comput. Ind. Eng., 2022

2021

Deep learning-based container throughput forecasting: a triple bottom line approach.

Sonali Shankar, Sushil Punia, P. Vigneswara Ilavarasan

Ind. Manag. Data Syst., 2021

Forecasting and planning during a pandemic: COVID-19 growth rates, supply chain disruptions, and governmental decisions.

Konstantinos Nikolopoulos, Sushil Punia, Andreas Schäfers, Christos Tsinopoulos, Chrysovalantis Vasilakis

Eur. J. Oper. Res., 2021

2020

Forecasting container throughput with long short-term memory networks.

Sonali Shankar, P. Vigneswara Ilavarasan, Sushil Punia, Surya Prakash Singh

Ind. Manag. Data Syst., 2020

Deep learning with long short-term memory networks and random forests for demand forecasting in multi-channel retail.

Sushil Punia, Konstantinos Nikolopoulos, Surya Prakash Singh, Jitendra K. Madaan, Konstantia Litsiou

Int. J. Prod. Res., 2020

From predictive to prescriptive analytics: A data-driven multi-item newsvendor model.

Sushil Punia, Surya Prakash Singh, Jitendra K. Madaan

Decis. Support Syst., 2020

A cross-temporal hierarchical framework and deep learning for supply chain forecasting.

Sushil Punia, Surya Prakash Singh, Jitendra K. Madaan

Comput. Ind. Eng., 2020