Sushil Punia

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Bullwhip Effect

Top Venues

Int. J. Prod. Res.

Comput. Ind. Eng.

Ind. Manag. Data Syst.

Eur. J. Oper. Res.

Publications

Kamal Sanguri, Sabyasachi Patra, Konstantinos Nikolopoulos, Sushil Punia
Intermittent demand, inventory obsolescence, and temporal aggregation forecasts. Int. J. Prod. Res. 62 (5) (2024)
Tariq Aljuneidi, Sushil Punia, Aida Jebali, Konstantinos Nikolopoulos
Forecasting and planning for a critical infrastructure sector during a pandemic: Empirical evidence from a food supply chain. Eur. J. Oper. Res. 317 (3) (2024)
Kamal Sanguri, Sabyasachi Patra, Sushil Punia
Forecast reconciliation in the temporal hierarchy: Special case of intermittent demand with obsolescence. Expert Syst. Appl. 218 (2023)
Kamal Sanguri, Sonali Shankar, Sushil Punia, Sabyasachi Patra
Hierarchical container throughput forecasting: The value of coherent forecasts in the management of ports operations. Comput. Ind. Eng. 173 (2022)
Sushil Punia, Sonali Shankar
Predictive analytics for demand forecasting: A deep learning-based decision support system. Knowl. Based Syst. 258 (2022)
Sonali Shankar, Sushil Punia, P. Vigneswara Ilavarasan
Deep learning-based container throughput forecasting: a triple bottom line approach. Ind. Manag. Data Syst. 121 (10) (2021)
Konstantinos Nikolopoulos, Sushil Punia, Andreas Schäfers, Christos Tsinopoulos, Chrysovalantis Vasilakis
Forecasting and planning during a pandemic: COVID-19 growth rates, supply chain disruptions, and governmental decisions. Eur. J. Oper. Res. 290 (1) (2021)
Sushil Punia, Surya Prakash Singh, Jitendra K. Madaan
From predictive to prescriptive analytics: A data-driven multi-item newsvendor model. Decis. Support Syst. 136 (2020)
Sushil Punia, Surya Prakash Singh, Jitendra K. Madaan
A cross-temporal hierarchical framework and deep learning for supply chain forecasting. Comput. Ind. Eng. 149 (2020)
Sonali Shankar, P. Vigneswara Ilavarasan, Sushil Punia, Surya Prakash Singh
Forecasting container throughput with long short-term memory networks. Ind. Manag. Data Syst. 120 (3) (2020)
Sushil Punia, Konstantinos Nikolopoulos, Surya Prakash Singh, Jitendra K. Madaan, Konstantia Litsiou
Deep learning with long short-term memory networks and random forests for demand forecasting in multi-channel retail. Int. J. Prod. Res. 58 (16) (2020)