Rajesh Piplani

About Rajesh Piplani

Rajesh Piplani, With an exceptional h-index of 25 and a recent h-index of 16 (since 2020), a distinguished researcher at Nanyang Technological University, specializes in the field of Supply Chain Design and Planning, Machine Learning for planning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Integrated scheduling and vehicle routing at cross-dock distribution centre: a simulated annealing approach

A deep multi-agent reinforcement learning approach to solve dynamic job shop scheduling problem

Optimized distribution of halal products using tabu search

Deep reinforcement learning for dynamic scheduling of a flexible job shop

An optimal data-splitting algorithm for aircraft sequencing on a single runway

Machine Learned Prediction of Runway Configuration Transition Times for Capacity Analysis

A decision-tree based continuous learning framework for real-time prediction of runway capacities

A review of dynamic scheduling: Context, techniques and prospects

Rajesh Piplani Information

University

Position

Singapore

Citations(all)

2768

Citations(since 2020)

811

Cited By

2208

hIndex(all)

25

hIndex(since 2020)

16

i10Index(all)

33

i10Index(since 2020)

19

Email

University Profile Page

Google Scholar

Rajesh Piplani Skills & Research Interests

Supply Chain Design and Planning

Machine Learning for planning

Top articles of Rajesh Piplani

Title

Journal

Author(s)

Publication Date

Integrated scheduling and vehicle routing at cross-dock distribution centre: a simulated annealing approach

International Journal of Industrial and Systems Engineering

Shikhar Saxena

Rajesh Piplani

2023

A deep multi-agent reinforcement learning approach to solve dynamic job shop scheduling problem

arXiv preprint arXiv:2003.08353

Marc Brittain

Xuxi Yang

Peng Wei

2020/3/17

Optimized distribution of halal products using tabu search

Journal of Islamic Marketing

Dwi Agustina Kurniawati

Asfin Handoko

Rajesh Piplani

Rianna Rosdiahti

2023/3/10

Deep reinforcement learning for dynamic scheduling of a flexible job shop

International Journal of Production Research

Renke Liu

Rajesh Piplani

Carlos Toro

2022/7/3

An optimal data-splitting algorithm for aircraft sequencing on a single runway

Annals of Operations Research

Rakesh Prakash

Jitamitra Desai

Rajesh Piplani

2022/2/1

Machine Learned Prediction of Runway Configuration Transition Times for Capacity Analysis

Lam Jun Guang Andy

Sameer Alam

Nimrod Lilith

Imen Dhief

Rajesh Piplani

2022

A decision-tree based continuous learning framework for real-time prediction of runway capacities

Lam Jun Guang Andy

Sameer Alam

Rajesh Piplani

Nimrod Lilith

Imen Dhief

2021/4/19

A review of dynamic scheduling: Context, techniques and prospects

Liu Renke

Rajesh Piplani

Carlos Toro

2021

Dynamic capacity and variable runway configurations in airport slot allocation

Computers & Industrial Engineering

Wai Lun Cheung

Rajesh Piplani

Sameer Alam

Lionel Bernard-Peyre

2021/9/1

Responsible & sustainable manufacturing

Surendra M Gupta

Aşkıner Güngör

Kannan Govindan

Eren Özceylan

Can Berk Kalaycı

...

2020/12/1

See List of Professors in Rajesh Piplani University(Nanyang Technological University)

Co-Authors

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