ICCL26: INTERNATIONAL CONFERENCE ON COMPUTATIONAL LOGISTICS

This page contains an index consisting of author-provided keywords.

A
Academic–Industry	Academic–Industry Challenges and Opportunities in Operations Research and Logistics
Adaptive Large Neighborhood Search (ALNS)	A Matheuristic Approach for Aircraft Refueling Scheduling under Time Window Constraints
Adaptive Operator Selection	A Self-adaptive Reinforcement Learning-Driven Tabu Search for the Electric Vehicle Scheduling Problem
Agentic Generative AI	The Next Stage of Operations Research, Logistics, and Business Analytics in the Era of Agentic Generative AI
AI	Mapping the AI Revolution in Vehicle Routing Research with Claimed Real-World Applicability: A Bibliometric Review"
Aircraft refueling scheduling	A Matheuristic Approach for Aircraft Refueling Scheduling under Time Window Constraints
Airport ground operations	A Matheuristic Approach for Aircraft Refueling Scheduling under Time Window Constraints
angular/radial sweep procedure	Inventory-Control-Driven Design of an Integrated Distribution Network with Capacitated Facilities and Vehicle Routing: An Angular / Radial Sweep Application
Annual capacity planning	Modeling and Optimizing the Annual Capacity of Professional Driver Training Centers via Integer Linear Programming
arctic shipping	Integrating Arctic Routes into Global Shipping Networks
Artificial Intelligence	Mapping Research on AI and Sustainable Supply Chains: A Bibliometric Study
B
Behavioural modelling	Behaviour-Aware Pricing for Sustainable Congestion Management in Container Terminal Truck Operations
Berth Allocation	Integrated Sustainable Planning of Berths and Quay Cranes in Container Terminals: A Comparative Analysis
Bibliometric Analysis	Mapping Research on AI and Sustainable Supply Chains: A Bibliometric Study
Bibliometrics	Mapping the AI Revolution in Vehicle Routing Research with Claimed Real-World Applicability: A Bibliometric Review"
Business Analytics	The Next Stage of Operations Research, Logistics, and Business Analytics in the Era of Agentic Generative AI
C
capacitated facility location problem	Inventory-Control-Driven Design of an Integrated Distribution Network with Capacitated Facilities and Vehicle Routing: An Angular / Radial Sweep Application
capacitated vehicle routing problem	Learning Structured Destroy Operators for Large Neighborhood Search in Capacitated Vehicle Routing Inventory-Control-Driven Design of an Integrated Distribution Network with Capacitated Facilities and Vehicle Routing: An Angular / Radial Sweep Application
Carbon Border Adjustment Mechanism	Navigating the Zero-Emission Freight Transition in India: A Tripartite Framework Integrating Stochastic Econometrics, AI-Driven Logistics, and Mechanism Design for Public Policy
Carbon-emission reduction	Data-Driven Incentive Mechanism Design for Sustainable Intermodal Freight Transport
cargo urgency	The influence of cargo urgency and feedback framing on customers’ preferences of logistics services
Circular Economy	Mapping Research on AI and Sustainable Supply Chains: A Bibliometric Study
Circular reconstruction	POST-WAR WASTE MANAGEMENT LOGISTICS AND RECONSTRUCTION: A FRAMEWORK FOR GAZA
Clarke and Wright Savings	A Synergistic Neuro-Hybrid Heuristic Framework for Hazardous Healthcare Waste Collection using Multi-Head Attention
Classification	From network to demand: To what extent can OD matrices be estimated from network topology ?
Cleansing	Damped Oscillatory Behavior in Forecast Errors
Combinatorial Optimization	Graph-Coarsening Approach for the Capacitated Vehicle Routing Problem with Time Windows Learning Container Selection under Vessel Loading Requirements Hybrid Matheuristic Approach for the Integrated Facility Location-Routing Problem under Corporate Mergers and Consolidations
Computational logistics	Auditing Logistics Hallucinations in Maritime AI: A Knowledge-Graph and Optimization-Based Framework Data-Driven IT Infrastructure Allocation for University Networks: A PLS-SEM-Calibrated Multi-Objective Optimisation Framework (Morocco) A Matheuristic Approach for Aircraft Refueling Scheduling under Time Window Constraints
Computer Vision	Artificial Intelligence and Computer Vision for Sustainable Port Operations: Novel Frameworks and a Roadmap for Green Port Transformation
congestion management	Behaviour-Aware Pricing for Sustainable Congestion Management in Container Terminal Truck Operations
congestion pricing	Behaviour-Aware Pricing for Sustainable Congestion Management in Container Terminal Truck Operations
Construction Consolidation Center	Optimizing Delivery Routing and Scheduling in Urban Construction Logistics via a Consolidation Center
Construction logistics	Optimizing Delivery Routing and Scheduling in Urban Construction Logistics via a Consolidation Center Continuous Interval Selection Problem with Machine Availability: a Case Study in Construction Waste Transportation
Container retrieval	Learning Container Selection under Vessel Loading Requirements
Container Terminal	Integrated Sustainable Planning of Berths and Quay Cranes in Container Terminals: A Comparative Analysis
Container terminal operations	Learning Container Selection under Vessel Loading Requirements
Cross-Attention	A Hierarchical Decision Framework with Reinforcement Learning for Large-Scale Port Tug Scheduling
CVRP	A Synergistic Neuro-Hybrid Heuristic Framework for Hazardous Healthcare Waste Collection using Multi-Head Attention
CVRPTW	Graph-Coarsening Approach for the Capacitated Vehicle Routing Problem with Time Windows
D
Data-driven logistics	Behaviour-Aware Pricing for Sustainable Congestion Management in Container Terminal Truck Operations
Decentralized battery-swapping strategy	A Single-Truck-Single-Drone Collaborative Routing under a Decentralized Battery-Swapping Strategy
Decision Support Systems	Data-Driven IT Infrastructure Allocation for University Networks: A PLS-SEM-Calibrated Multi-Objective Optimisation Framework (Morocco) Interpretable Machine Learning for Predictive Energy-Balance Monitoring and Decision Support in Industrial Energy Logistics: A Case Study of OCP JFC4
Deep Learning	Artificial Intelligence and Computer Vision for Sustainable Port Operations: Novel Frameworks and a Roadmap for Green Port Transformation
Deep Reinforcement Learning	A Synergistic Neuro-Hybrid Heuristic Framework for Hazardous Healthcare Waste Collection using Multi-Head Attention Preference-Based Sparse Router for Multi-Objective Combinatorial Optimization Mapping the AI Revolution in Vehicle Routing Research with Claimed Real-World Applicability: A Bibliometric Review"
Demand forecasting	Selective LLM Revision with Statistical Calibration for Sparse Demand Forecasting in Retail Supply Chains
demand management	Behaviour-Aware Pricing for Sustainable Congestion Management in Container Terminal Truck Operations
Descrete Choice Theory	Behaviour-Aware Pricing for Sustainable Congestion Management in Container Terminal Truck Operations
Digital governance	Digital Governance in Emergency Procurement under Uncertainty: A Stochastic Decision-Support Perspective
Disruption-aware rolling scheduling	Disruption-Aware Rolling Scheduling of Feeder Transport with Flexible Hub Assignment
distribution network design	Inventory-Control-Driven Design of an Integrated Distribution Network with Capacitated Facilities and Vehicle Routing: An Angular / Radial Sweep Application
Distributional influence	Damped Oscillatory Behavior in Forecast Errors
Driver Scheduling	Vehicle Routing and Truck Driver Scheduling: Alignment with Practice
Driver training	A Variable Neighborhood Search for the Professional Driver Training Timetabling Problem Modeling and Optimizing the Annual Capacity of Professional Driver Training Centers via Integer Linear Programming
E
Economic Order Quantity	Inventory-Control-Driven Design of an Integrated Distribution Network with Capacitated Facilities and Vehicle Routing: An Angular / Radial Sweep Application
Electric Vehicle Routing	Computational Simulation on Multi-Objective Stochastic Electric Vehicle Routing with Time Windows
Electric vehicles	A Self-adaptive Reinforcement Learning-Driven Tabu Search for the Electric Vehicle Scheduling Problem
Emergency procurement	Digital Governance in Emergency Procurement under Uncertainty: A Stochastic Decision-Support Perspective
Emission capture system barge	A Multi-Agent Reinforcement Learning Approach for Emission Capture System Barge Routing Problem
Emission reduction	A Multi-Agent Reinforcement Learning Approach for Emission Capture System Barge Routing Problem
Energy Management Systems	Interpretable Machine Learning for Predictive Energy-Balance Monitoring and Decision Support in Industrial Energy Logistics: A Case Study of OCP JFC4
F
feedback framing	The influence of cargo urgency and feedback framing on customers’ preferences of logistics services
Feeder transport scheduling	Disruption-Aware Rolling Scheduling of Feeder Transport with Flexible Hub Assignment
Flexible hub assignment	Disruption-Aware Rolling Scheduling of Feeder Transport with Flexible Hub Assignment
Forecast error	Damped Oscillatory Behavior in Forecast Errors
Formal verification	Auditing Logistics Hallucinations in Maritime AI: A Knowledge-Graph and Optimization-Based Framework
Freight electrification	Navigating the Zero-Emission Freight Transition in India: A Tripartite Framework Integrating Stochastic Econometrics, AI-Driven Logistics, and Mechanism Design for Public Policy
G
Gaza	POST-WAR WASTE MANAGEMENT LOGISTICS AND RECONSTRUCTION: A FRAMEWORK FOR GAZA
Generative AI	Auditing Logistics Hallucinations in Maritime AI: A Knowledge-Graph and Optimization-Based Framework
Goal Programming	Industry 5.0 Human Capability Framework: A Non-Compensatory Assessment Approach
Gradient boosting	Tabular Foundation Models for Transportation Prediction: A Dataset-Scaling Study
Graph Coarsening	Graph-Coarsening Approach for the Capacitated Vehicle Routing Problem with Time Windows
Green economics	Navigating the Zero-Emission Freight Transition in India: A Tripartite Framework Integrating Stochastic Econometrics, AI-Driven Logistics, and Mechanism Design for Public Policy
Green Port Intelligence Maturity Model	Artificial Intelligence and Computer Vision for Sustainable Port Operations: Novel Frameworks and a Roadmap for Green Port Transformation
Green Supply Chain	Mapping Research on AI and Sustainable Supply Chains: A Bibliometric Study
Greenhouse Gas Emissions	Artificial Intelligence and Computer Vision for Sustainable Port Operations: Novel Frameworks and a Roadmap for Green Port Transformation
H
Hazardous Healthcare Waste	A Synergistic Neuro-Hybrid Heuristic Framework for Hazardous Healthcare Waste Collection using Multi-Head Attention
Heuristic optimization	A Variable Neighborhood Search for the Professional Driver Training Timetabling Problem
Hours-of-Service Regulations	Vehicle Routing and Truck Driver Scheduling: Alignment with Practice
Human-Centric	Industry 5.0 Human Capability Framework: A Non-Compensatory Assessment Approach
Humanitarian operations	Digital Governance in Emergency Procurement under Uncertainty: A Stochastic Decision-Support Perspective
hybrid forecasting	Selective LLM Revision with Statistical Calibration for Sparse Demand Forecasting in Retail Supply Chains
I
Incentive mechanism design	Data-Driven Incentive Mechanism Design for Sustainable Intermodal Freight Transport
Industrial Energy Analytics	Interpretable Machine Learning for Predictive Energy-Balance Monitoring and Decision Support in Industrial Energy Logistics: A Case Study of OCP JFC4
Industry 4.0	Mapping Research on AI and Sustainable Supply Chains: A Bibliometric Study
Industry 5.0	Industry 5.0 Human Capability Framework: A Non-Compensatory Assessment Approach
Integer linear programming	Modeling and Optimizing the Annual Capacity of Professional Driver Training Centers via Integer Linear Programming
Integrated BACAP	Integrated Sustainable Planning of Berths and Quay Cranes in Container Terminals: A Comparative Analysis
Intermodal freight transport	Data-Driven Incentive Mechanism Design for Sustainable Intermodal Freight Transport
Interval Scheduling	Continuous Interval Selection Problem with Machine Availability: a Case Study in Construction Waste Transportation
IT infrastructure allocation	Data-Driven IT Infrastructure Allocation for University Networks: A PLS-SEM-Calibrated Multi-Objective Optimisation Framework (Morocco)
K
Kernel Search	Continuous Interval Selection Problem with Machine Availability: a Case Study in Construction Waste Transportation
Knowledge graph	Auditing Logistics Hallucinations in Maritime AI: A Knowledge-Graph and Optimization-Based Framework
L
laboratory experiment	The influence of cargo urgency and feedback framing on customers’ preferences of logistics services
large language models	Selective LLM Revision with Statistical Calibration for Sparse Demand Forecasting in Retail Supply Chains
Large Neighborhood Search	Learning Structured Destroy Operators for Large Neighborhood Search in Capacitated Vehicle Routing
Linear programming	Auditing Logistics Hallucinations in Maritime AI: A Knowledge-Graph and Optimization-Based Framework
liner shipping	Integrating Arctic Routes into Global Shipping Networks
Liner shipping network evaluation	Estimating the Reliability of Ocean Network Designs Prior to Execution
Load-aware power consumption	A Single-Truck-Single-Drone Collaborative Routing under a Decentralized Battery-Swapping Strategy
Location-Routing Problem (LRP)	Hybrid Matheuristic Approach for the Integrated Facility Location-Routing Problem under Corporate Mergers and Consolidations
Logistics	POST-WAR WASTE MANAGEMENT LOGISTICS AND RECONSTRUCTION: A FRAMEWORK FOR GAZA Academic–Industry Challenges and Opportunities in Operations Research and Logistics The Next Stage of Operations Research, Logistics, and Business Analytics in the Era of Agentic Generative AI
Logistics hallucination	Auditing Logistics Hallucinations in Maritime AI: A Knowledge-Graph and Optimization-Based Framework
Logistics of container terminals	Behaviour-Aware Pricing for Sustainable Congestion Management in Container Terminal Truck Operations
logistics services	The influence of cargo urgency and feedback framing on customers’ preferences of logistics services
M
M5 dataset	Selective LLM Revision with Statistical Calibration for Sparse Demand Forecasting in Retail Supply Chains
Machine Learning	Interpretable Machine Learning for Predictive Energy-Balance Monitoring and Decision Support in Industrial Energy Logistics: A Case Study of OCP JFC4 Mapping the AI Revolution in Vehicle Routing Research with Claimed Real-World Applicability: A Bibliometric Review" Mapping Research on AI and Sustainable Supply Chains: A Bibliometric Study
Maritime logistics	Auditing Logistics Hallucinations in Maritime AI: A Knowledge-Graph and Optimization-Based Framework Integrating Arctic Routes into Global Shipping Networks
Maritime logistics and port operations	Behaviour-Aware Pricing for Sustainable Congestion Management in Container Terminal Truck Operations
Maritime transportation	Bi-Objective Weather Routing for Vessels with Wind Propulsion
Mathematical modeling	Modeling and Optimizing the Annual Capacity of Professional Driver Training Centers via Integer Linear Programming
Matheuristics	A Matheuristic Approach for Aircraft Refueling Scheduling under Time Window Constraints Hybrid Matheuristic Approach for the Integrated Facility Location-Routing Problem under Corporate Mergers and Consolidations
Metaheuristics	Mapping the AI Revolution in Vehicle Routing Research with Claimed Real-World Applicability: A Bibliometric Review"
MILP	Continuous Interval Selection Problem with Machine Availability: a Case Study in Construction Waste Transportation
Mixed-integer linear programming (MILP)	A Matheuristic Approach for Aircraft Refueling Scheduling under Time Window Constraints
Modal shift	Data-Driven Incentive Mechanism Design for Sustainable Intermodal Freight Transport
Monte Carlo Simulation	Estimating the Reliability of Ocean Network Designs Prior to Execution Computational Simulation on Multi-Objective Stochastic Electric Vehicle Routing with Time Windows
Multi-agent reinforcement learning	A Multi-Agent Reinforcement Learning Approach for Emission Capture System Barge Routing Problem
Multi-Head Attention	A Synergistic Neuro-Hybrid Heuristic Framework for Hazardous Healthcare Waste Collection using Multi-Head Attention
Multi-Objective Combinatorial Optimization	Preference-Based Sparse Router for Multi-Objective Combinatorial Optimization
Multi-objective metaheuristics	Data-Driven Incentive Mechanism Design for Sustainable Intermodal Freight Transport
Multi-Objective Optimization	Computational Simulation on Multi-Objective Stochastic Electric Vehicle Routing with Time Windows
Multinomial logit	Behaviour-Aware Pricing for Sustainable Congestion Management in Container Terminal Truck Operations
N
Network Re-engineering	Hybrid Matheuristic Approach for the Integrated Facility Location-Routing Problem under Corporate Mergers and Consolidations
Neural Combinatorial Optimization	Learning Structured Destroy Operators for Large Neighborhood Search in Capacitated Vehicle Routing
Neuro Heuristics	A Synergistic Neuro-Hybrid Heuristic Framework for Hazardous Healthcare Waste Collection using Multi-Head Attention
NSGA-II	Computational Simulation on Multi-Objective Stochastic Electric Vehicle Routing with Time Windows
O
Ocean transport reliability	Estimating the Reliability of Ocean Network Designs Prior to Execution
OD flows	From network to demand: To what extent can OD matrices be estimated from network topology ?
OD matrix	From network to demand: To what extent can OD matrices be estimated from network topology ?
Operations Research	Academic–Industry Challenges and Opportunities in Operations Research and Logistics The Next Stage of Operations Research, Logistics, and Business Analytics in the Era of Agentic Generative AI
Optimization repair	Auditing Logistics Hallucinations in Maritime AI: A Knowledge-Graph and Optimization-Based Framework
OR planning and decision support	Behaviour-Aware Pricing for Sustainable Congestion Management in Container Terminal Truck Operations
P
policy-space characterization	Selective LLM Revision with Statistical Calibration for Sparse Demand Forecasting in Retail Supply Chains
Port Environmental Digital Twin	Artificial Intelligence and Computer Vision for Sustainable Port Operations: Novel Frameworks and a Roadmap for Green Port Transformation
Post-conflict	POST-WAR WASTE MANAGEMENT LOGISTICS AND RECONSTRUCTION: A FRAMEWORK FOR GAZA
Preference-Aware Routing	Preference-Based Sparse Router for Multi-Objective Combinatorial Optimization
Preference-Conditioned Transformer	Preference-Based Sparse Router for Multi-Objective Combinatorial Optimization
Proximal Policy Optimization	A Hierarchical Decision Framework with Reinforcement Learning for Large-Scale Port Tug Scheduling
Q
Quality decay dynamics	A Single-Truck-Single-Drone Collaborative Routing under a Decentralized Battery-Swapping Strategy
Quantum Annealing	Graph-Coarsening Approach for the Capacitated Vehicle Routing Problem with Time Windows
Quay Crane Scheduling	Integrated Sustainable Planning of Berths and Quay Cranes in Container Terminals: A Comparative Analysis
R
random forest	Behaviour-Aware Pricing for Sustainable Congestion Management in Container Terminal Truck Operations
Regression	From network to demand: To what extent can OD matrices be estimated from network topology ?
Reinforcement Learning	A Hierarchical Decision Framework with Reinforcement Learning for Large-Scale Port Tug Scheduling A Self-adaptive Reinforcement Learning-Driven Tabu Search for the Electric Vehicle Scheduling Problem Learning Container Selection under Vessel Loading Requirements Learning Structured Destroy Operators for Large Neighborhood Search in Capacitated Vehicle Routing Navigating the Zero-Emission Freight Transition in India: A Tripartite Framework Integrating Stochastic Econometrics, AI-Driven Logistics, and Mechanism Design for Public Policy
Resilience	Computational Simulation on Multi-Objective Stochastic Electric Vehicle Routing with Time Windows
Resource allocation	A Variable Neighborhood Search for the Professional Driver Training Timetabling Problem Modeling and Optimizing the Annual Capacity of Professional Driver Training Centers via Integer Linear Programming
retail supply chain	Selective LLM Revision with Statistical Calibration for Sparse Demand Forecasting in Retail Supply Chains
Robust policy evaluation	Data-Driven Incentive Mechanism Design for Sustainable Intermodal Freight Transport
S
Safety stock	Damped Oscillatory Behavior in Forecast Errors
Scheduling	A Self-adaptive Reinforcement Learning-Driven Tabu Search for the Electric Vehicle Scheduling Problem
Scheduling optimization	A Matheuristic Approach for Aircraft Refueling Scheduling under Time Window Constraints
SHAP	Interpretable Machine Learning for Predictive Energy-Balance Monitoring and Decision Support in Industrial Energy Logistics: A Case Study of OCP JFC4
Span of history	Damped Oscillatory Behavior in Forecast Errors
sparse demand	Selective LLM Revision with Statistical Calibration for Sparse Demand Forecasting in Retail Supply Chains
Sparse Mixture-of-Experts	Preference-Based Sparse Router for Multi-Objective Combinatorial Optimization
stochastic decision-making	Digital Governance in Emergency Procurement under Uncertainty: A Stochastic Decision-Support Perspective
Stochastic Programming	Computational Simulation on Multi-Objective Stochastic Electric Vehicle Routing with Time Windows
Strait of Hormuz	Auditing Logistics Hallucinations in Maritime AI: A Knowledge-Graph and Optimization-Based Framework
Supply chain	POST-WAR WASTE MANAGEMENT LOGISTICS AND RECONSTRUCTION: A FRAMEWORK FOR GAZA
Sustainability	Integrated Sustainable Planning of Berths and Quay Cranes in Container Terminals: A Comparative Analysis Mapping Research on AI and Sustainable Supply Chains: A Bibliometric Study Behaviour-Aware Pricing for Sustainable Congestion Management in Container Terminal Truck Operations
Sustainability Intelligence Loop	Artificial Intelligence and Computer Vision for Sustainable Port Operations: Novel Frameworks and a Roadmap for Green Port Transformation
Sustainable Port Operations	Artificial Intelligence and Computer Vision for Sustainable Port Operations: Novel Frameworks and a Roadmap for Green Port Transformation
Systematic Literature Review	Artificial Intelligence and Computer Vision for Sustainable Port Operations: Novel Frameworks and a Roadmap for Green Port Transformation
T
TabPFN	Tabular Foundation Models for Transportation Prediction: A Dataset-Scaling Study
Tabu search	A Self-adaptive Reinforcement Learning-Driven Tabu Search for the Electric Vehicle Scheduling Problem
Tabular foundation models	Tabular Foundation Models for Transportation Prediction: A Dataset-Scaling Study
Time Windows	Continuous Interval Selection Problem with Machine Availability: a Case Study in Construction Waste Transportation
Timetabling	A Variable Neighborhood Search for the Professional Driver Training Timetabling Problem
Topology	From network to demand: To what extent can OD matrices be estimated from network topology ?
Total cost of ownership	Navigating the Zero-Emission Freight Transition in India: A Tripartite Framework Integrating Stochastic Econometrics, AI-Driven Logistics, and Mechanism Design for Public Policy
Transport network	From network to demand: To what extent can OD matrices be estimated from network topology ?
Transport Planning Practice	Vehicle Routing and Truck Driver Scheduling: Alignment with Practice
Transportation prediction	Tabular Foundation Models for Transportation Prediction: A Dataset-Scaling Study
Truck-drone collaborative routing	A Single-Truck-Single-Drone Collaborative Routing under a Decentralized Battery-Swapping Strategy
Tug Scheduling	A Hierarchical Decision Framework with Reinforcement Learning for Large-Scale Port Tug Scheduling
V
Variable Neighborhood Search	A Variable Neighborhood Search for the Professional Driver Training Timetabling Problem
Vehicle Routing	Graph-Coarsening Approach for the Capacitated Vehicle Routing Problem with Time Windows
Vehicle Routing Problem	Vehicle Routing and Truck Driver Scheduling: Alignment with Practice Optimizing Delivery Routing and Scheduling in Urban Construction Logistics via a Consolidation Center
VRP	Mapping the AI Revolution in Vehicle Routing Research with Claimed Real-World Applicability: A Bibliometric Review"
W
Waste Management	Continuous Interval Selection Problem with Machine Availability: a Case Study in Construction Waste Transportation
Weather routing	Bi-Objective Weather Routing for Vessels with Wind Propulsion
Wind propulsion	Bi-Objective Weather Routing for Vessels with Wind Propulsion
Z
Zero-emission trucks	Navigating the Zero-Emission Freight Transition in India: A Tripartite Framework Integrating Stochastic Econometrics, AI-Driven Logistics, and Mechanism Design for Public Policy
«
« alibaba »	Artificial Intelligence and Supply Chain Resilience: Comparative Case Studies of Amazon and Alibaba
« amazon »	Artificial Intelligence and Supply Chain Resilience: Comparative Case Studies of Amazon and Alibaba
« Artificial Intelligence »	Artificial Intelligence and Supply Chain Resilience: Comparative Case Studies of Amazon and Alibaba
« digital transformation »	Artificial Intelligence and Supply Chain Resilience: Comparative Case Studies of Amazon and Alibaba
« Logistics »	Artificial Intelligence and Supply Chain Resilience: Comparative Case Studies of Amazon and Alibaba
« Supply Chain Resilience »	Artificial Intelligence and Supply Chain Resilience: Comparative Case Studies of Amazon and Alibaba

Disclaimer | Powered by EasyChair Smart Program