Explanipedia

Decoding Agricultural Drought Resilience: A Triple-Validated Random Forest Framework Integrating Multi-Source Remote Sensing for High-Resolution Monitoring in the North China Plain Open

Xianyong Meng, Song Zhang, Guoqing Wang, Jianli Ding, Chengbin Chu , et al. · 2025

Agricultural drought poses a severe threat to food security in the North China Plain, necessitating accurate and timely monitoring approaches. This study presents a novel drought assessment framework that innovatively integrates multiple r…

Spatiotemporal evolution of droughts and floods in the Yellow River Basin: A novel approach combining CMADS-L evaluation, hydroclimatic zonation and CNN-LSTM prediction Open

Xianyong Meng, Lin Chen, Jianli Ding, Guoqing Wang, Jianyun Zhang , et al. · 2025

Study Region: Yellow River Basin, China, a region of critical ecological and economic significance. Study Focus: This research presents a novel integrated framework for regional drought-flood analysis and precipitation forecasting by evalu…

Risk-averse Dynamic Bayesian Network for Supply Chain Risk Evaluation under Ripple Effects and Risk Dispersion Open

Ming Liu, Zhongzheng Liu, Feng Chu, Feifeng Zheng, Chengbin Chu · 2025

International audience

Dynamic structural reconfiguration for building supply chain viability under labor shortage Open

Ming Liu, Jiawei Zhang, Feng Chu, Feifeng Zheng, Chengbin Chu · 2025

International audience

Scheduling robotic cells with fixed processing times or time windows: Classification, solution approaches, polynomial algorithms and complexity Open

Jianguang Feng, Ada Che, Chengbin Chu, Eugene Levner, Vladimir Kats · 2024

Robotic cell scheduling has received considerable attention from researchers. Several existing review papers have presented then-existing studies on robotic cell scheduling and related fields from different perspectives. Since the latest r…

Special issue in memory of Dr. Jean-Marie Proth (7.12.1938–17.06.2021) Open

Chengbin Chu, Feng Chu, Alexandre Dolgui, Rakesh Nagi, Xiaolan Xie · 2024

Issues 1 and 2 of 2024 are composed of papers selected for the special section in memory of Dr Jean-Marie Proth. Some papers are extended versions of articles presented at the 10th IFAC MIM 2022 conference (hub.imtatlantique.fr/mim2022/) i…

A real-life batch-sizing and sequencing problem with buffer & sequence-dependent setup times Open

N. La Palombara, Walid Behiri, Sana Belmokhtar-Berraf, Chengbin Chu, Mustapha Sali · 2023

International audience

A new and general stochastic parallel machine ScheLoc problem with limited location capacity and customer credit risk Open

Ming Liu, Tao Lin, Feng Chu, Feifeng Zheng, Chengbin Chu · 2023

Scheduling-Location (ScheLoc) problem considering machine location and job scheduling simultaneously is a relatively new and hot topic. The existing works assume that only one machine can be placed at a location, which may not be suitable …

A linear time series analysis of carbon price via a complex network approach Open

Yuxia Hu, Chengbin Chu, Peng Wu, Jun Hu · 2022

Identifying the essential characteristics and forecasting carbon prices is significant in promoting green transformation. This study transforms the time series into networks based on China’s pilots by using the visibility graph, mining mor…

Joint optimization of lot-sizing and pricing with backlogging Open

Ming Liu, Hao Tang, Feng Chu, Feifeng Zheng, Chengbin Chu · 2022

Integrated inventory management, supplier selection, disruption risk assessment problem under ripple effect Open

Ming Liu, Zhongzheng Liu, Feng Chu, Feifeng Zheng, Chengbin Chu · 2022

International audience

Minimax Relative Regret Approach for Resilient Supply Chain Design Open

Ming Liu, Yueyu Ding, Feng Chu, Feifeng Zheng, Chengbin Chu · 2022

International audience

A general robust dynamic Bayesian network method for supply chain disruption risk estimation under ripple effect Open

Ming Liu, Tao Lin, Feng Chu, Feifeng Zheng, Chengbin Chu · 2022

International audience

A Reinforcement Learning Variable Neighborhood Search for the Robust Dynamic Bayesian Network Optimization Problem under the Supply Chain Ripple Effect Open

Ming Liu, Hao Tang, Feng Chu, Feifeng Zheng, Chengbin Chu · 2022

International audience

A New Stochastic Bi-level Optimization Model for Post-disaster Relief Scheduling Problem in Sustainable Humanitarian Supply Chains with Uncertain Relief Supplies and Demands Open

Ming Liu, Tao Lin, Feng Chu, Feifeng Zheng, Chengbin Chu · 2022

International audience

New MDP Model and Learning Algorithm for Bus Scheduling Problem with Conditional Signal Priority Open

Ming Liu, Yecheng Zhao, Feng Chu, Feifeng Zheng, Chengbin Chu · 2022

International audience

Critical Terrorist Organizations and Terrorist Organization Alliance Networks Based on Key Nodes Founding Open

Jun Hu, Chengbin Chu, Ling Xu, Peng Wu, Hui-jia Lia · 2021

The past years have witnessed increasingly widespread terrorism, violently destroying world peace and regional prosperity. Therefore, uncovering terrorist plots has become the most crucial step for eliminating terrorist attacks. However, w…

Stochastic Integrated Supplier Selection and Disruption Risk Assessment Under Ripple Effect Open

Ming Liu, Zhongzheng Liu, Feng Chu, Feifeng Zheng, Chengbin Chu · 2021

Electric Bus Charging Scheduling Strategy with Stochastic Arrival Time and State of Charge Open

Ming Liu, Yueyu Ding, Feng Chu, Feifeng Zheng, Chengbin Chu · 2021

A New Robust Dynamic Bayesian Network Model with Bounded Deviation Budget for Disruption Risk Evaluation Open

Ming Liu, Tao Lin, Feng Chu, Feifeng Zheng, Chengbin Chu · 2021

A Mathematical Model for Bus Scheduling with Conditional Signal Priority Open

Ming Liu, Yecheng Zhao, Feng Chu, Feifeng Zheng, Chengbin Chu · 2021

A new bi-objective optimization model for bus priority network design Open

Jin Chen, Peng Wu, Feng Chu, Chengbin Chu · 2020

International audience

Stochastic Check-in Employee Scheduling Problem Open

Ming Liu, Bian Liang, Maoran Zhu, Chengbin Chu · 2020

This work addresses the problem of assigning airline check-in employees to tasks related to departing flights under uncertain circumstance at an international terminal of a large airport. The uncertainty of flight departing time mainly ste…

Approximation Algorithms for Multitasking Scheduling Problems Open

Feifeng Zheng, Zhaojie Wang, Ming Liu, Chengbin Chu · 2020

In this work, we incorporate human factors and real-life operations into newly proposed multitasking scheduling problems with periodic shift activities. It is motivated by personnel resource scheduling with periodic work shifts under the r…

Stochastic Runway Scheduling Problem With Partial Distribution Information of Random Parameters Open

Ming Liu, Bian Liang, Maoran Zhu, Chengbin Chu · 2020

Air traffic flow management is one of the most important operations in terminal airports heavily relying on advanced intelligence transportation techniques. This work considers a two-stage runway scheduling problem given a set of flights w…

The multi-plant perishable food production routing with packaging consideration Open

Yantong Li, Feng Chu, Jean‐François Côté, Leandro C. Coelho, Chengbin Chu · 2019

Owning or sharing autonomous vehicles: comparing different ownership and usage scenarios Open

Abood Mourad, Jakob Puchinger, Chengbin Chu · 2019

Distributionally robust inventory routing problem to maximize the service level under limited budget Open

Ming Liu, Xin Liu, Feng Chu, Feifeng Zheng, Chengbin Chu · 2019

International audience

A survey of models and algorithms for optimizing shared mobility Open

Abood Mourad, Jakob Puchinger, Chengbin Chu · 2019

Distribution-Free Model for Ambulance Location Problem with Ambiguous Demand Open

Feng Chu, Lu Wang, Xin Liu, Chengbin Chu, Yang Sui · 2018

Ambulance location problem is a key issue in Emergency Medical Service (EMS) system, which is to determine where to locate ambulances such that the emergency calls can be responded efficiently. Most related researches focus on deterministi…

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