AISUCMA 2024: Artificial intelligence in supply chain management
19-20 October 2024, Santiago de Compostela, Spain
The workshop aims to provide participants with a comprehensive understanding of how AI
technologies are revolutionizing the field of supply chain management. Through a
combination of theoretical insights and practical applications, attendees will delve into the
various facets of AI integration, including predictive analytics, machine learning algorithms,
and automation tools. The workshop will explore how AI enhances decision-making
processes, optimizes inventory management, and streamlines logistics operations.
Participants will gain hands-on experience through case studies and interactive sessions,
enabling them to grasp the practical implications of implementing AI solutions in their supply
chain workflows. By the end of the workshop, attendees will be equipped with the knowledge
and skills to harness the power of AI for driving efficiency, agility, and innovation within their
respective supply chain environments.
The workshop invites high-quality abstracts and papers covering all aspects at the use of Artificial Intelligence
in supply chain management. The topics of this workshop include, but are not limited to:
- Applications of Machine Learning in Supply Chain Optimization
- Predictive Analytics for Demand Forecasting
- Robotics and Automation in Warehousing
- Digital Twins for Supply Chain Simulation and Optimization
- Blockchain Technology for Transparent and Secure Supply Chains
- AI-driven Inventory Management Strategies
- Cognitive Computing for Supplier Relationship Management
- Natural Language Processing in Supply Chain Communication
- IoT (Internet of Things) Integration for Real-time Monitoring
- Data Analytics for Route Optimization and Transportation Management
- AI-based Predictive Maintenance in Supply Chain Equipment
- Cloud Computing Solutions for Scalable Supply Chain Operations
- Risk Management and Mitigation using AI
- Ethical Considerations in AI-driven Supply Chain Decision-Making
- Human-AI Collaboration in Supply Chain Processes
- Adaptive Supply Chain Planning with AI
- Sustainable and Green Supply Chain Practices with AI
- AI-enhanced Customer Relationship Management in Supply Chains
- Explainable AI for Transparent Decision Support
- Augmented Reality (AR) and Virtual Reality (VR) in Supply Chain Visualization
- Cognitive Robotic Process Automation in Supply Chain Workflows
- Integration of AI with ERP (Enterprise Resource Planning) Systems
- Supply Chain Resilience and Continuity with AI
- Cybersecurity in AI-enabled Supply Chain Networks
- Evolution of AI in Supply Chain Logistics
- AI-driven Compliance and Regulatory Management
- Dynamic Pricing Strategies using AI in Supply Chains
- Industry 4.0 and the Future of AI in Supply Chain
- Case Studies on Successful AI Implementation in Supply Chain Management
Audience
The workshop is designed to cater to a diverse audience primarily composed of research groups actively engaged in advancing knowledge and innovations within the field. The target participants include academic researchers, scholars, and industry professionals with a keen interest in the intersection of artificial intelligence and supply chain management. The workshop anticipates attracting participants from universities, research institutions, and industry organizations. Potential attendees may have backgrounds in computer science, operations research, logistics, and business management. The expected number of submissions for the workshop is estimated to be around 20-30, with a range of research papers, case studies, and practical applications exploring the latest developments and challenges in the utilization of AI technologies within the supply chain domain. This diverse and engaged group of participants will contribute to vibrant discussions, knowledge exchange, and collaborative initiatives during the workshop.
Important Dates
Submission Details
The submissions to this workshop must follow these rules:
- Submissions must be written in english.
- Submissions must be in PDF format.
- Submissions must be prepared for double-blind review.
Besides, we will accept the following submission types:
Papers (max. 7 pages not considering refs):
Papers must follow ECAI rules for submission. This implies to follow the following rules:
- The ECAI Latex Template must be used.
- Papers extension cannot exceed 7 pages (plus at most 1 extra page for references).
Abstracts (1-2 pages not considering refs):
The type of works presented in the abstracts can be one of the following:
- Articles already published in a journal in the last two years.
- Preliminary results about a current research.
- Work already developed that could be presented in the workshop.
Schedule
The AISUCMA 2024 workshop will take place on Sunday, October 20th, 2024, from 9:00 to 12:30. Each talk consists of 30 minutes, including the talk itself, questions, and discussions. You can find a detailed program below:
- 9:00 - 9:10: Introduction
- 9:10 - 9:40: Case study in supplier relationship management: Assisting buyers with sustainability insights using generative AI technology
- 9:40 - 10:10: Reinforcement Learning for Efficient Returns Management
- 10:10 - 11:00: Coffee break
- 11:00 - 11:30: Predicting demand and seasonal patterns of waste production to improve waste collection planning
- 11:30 - 12:00: A Versatile Multi-Agent Reinforcement Learning Benchmark for Inventory Management
- 12:00 - 12:30: Optimizing port operations with machine learning-driven ETA predictions
You can access to the presentation slides using this link
Organization
The AISUCMA 2024 workshop is organized by:
Christopher Expósito-Izquierdo
PhD. C. Expósito-Izquierdo is a researcher who has dedicated his career to advancing the fields of maritime and land transportation. With a profound understanding of the complexities within these domains, he has made significant contributions to optimizing transportation systems and fostering sustainable practices. At the same time, as Chief Technology Officer of Kaizten Analytics, he leads a dynamic team in the development of cutting-edge software that harnesses the power of AI algorithms. His visionary approach and innovative solutions have positioned Kaizten Analytics at the forefront of the industry, transforming how businesses leverage technology for efficient and intelligent transportation management. PhD. C. Expósito-Izquierdo commitment to bridging research and practical applications underscores his pivotal role in shaping the future of transportation through the integration of artificial intelligence.
Israel López-Plata
PhD. I. López-Plata has focused his scholarly efforts on the exploration and refinement of design optimization techniques within the realm of supply chain management. His body of work encompasses the intricate analysis and enhancement of processes crucial to the efficient functioning of supply chains. With a commitment to advancing the field, he has delved into the complexities of optimizing design structures to streamline the various elements of supply chain management, aiming to improve overall effectiveness and responsiveness. Through his dedicated research, he has contributed valuable insights to the ongoing discourse surrounding the optimization of design strategies in the context of supply chain dynamics.
Airam Expósito-Márquez
PhD. A. Expósito-Márquez focuses his research efforts on the development of machine algorithms specifically tailored for land transportation and logistics. His work is centered on designing computational systems that enhance the efficiency, reliability, and overall performance of transportation processes on roads. Through meticulous exploration and analysis, he endeavors to create algorithms that address the complex challenges within the realm of land transportation, aiming to optimize routes, streamline logistics, and contribute to the advancement of this critical sector.
International Programme Committee
The AISUCMA 2024 workshop has the following International Programme Committee:
To be determined.
