Session Tracks

세션 트랙

Conference Session Tracks

학술대회 세션 트랙

This ICDALSC features a diverse range of session tracks designed to cover key research areas, emerging trends, and interdisciplinary innovations within the field of Circular Economy,Supply Chain,Logistics.

Each track offers researchers, academicians, industry professionals, and practitioners a platform to present their work, exchange ideas, and explore the advancements shaping the future of the domain.

본 학술대회는 주요 연구 분야, 최신 연구 동향 및 융합 연구 주제를 폭넓게 다루는 다양한 세션 트랙으로 구성되어 있습니다. 각 트랙은 연구자, 교수진, 산업 전문가 및 실무자들이 연구 성과를 발표하고 아이디어를 교류하며 해당 분야의 발전 방향을 함께 모색할 수 있는 기회를 제공합니다.

Aligned with the SDGs

지속가능발전목표(SDGs) 연계

Sustainable Development Goals
UN Sustainable Development Goals
유엔 지속가능발전목표

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals, fostering knowledge exchange, innovation, and collaborative engagement.

본 학술대회는 연구 논의와 학술 세션을 유엔 지속가능발전목표와 연계함으로써 지식 교류, 혁신 및 국제 협력을 촉진하고 글로벌 지속가능성에 기여합니다.
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 11
SDG 11 Sustainable Cities and Communities
SDG 12
SDG 12 Responsible Consumption and Production
SDG 16
SDG 16 Peace, Justice and Strong Institutions
SDG 17
SDG 17 Partnerships for the Goals

All Session Tracks

전체 세션 트랙

Browse every track scheduled for this conference.

본 학술대회의 모든 세션 트랙을 확인하실 수 있습니다.
01
Track

Innovations in Circular Economy Practices

This track explores the integration of circular economy principles within logistics and supply chain management. It emphasizes innovative practices that enhance resource efficiency and sustainability.

02
Track

Data-Driven Decision Support Systems

This session focuses on the development and implementation of data-driven decision support systems in logistics. Participants will discuss methodologies that leverage big data for improved operational metrics.

03
Track

Predictive Analytics in Supply Chain Management

This track examines the role of predictive analytics in enhancing supply chain visibility and performance. It will highlight case studies demonstrating successful applications of predictive models.

04
Track

Optimization Techniques for Logistics Operations

This session delves into advanced optimization techniques that streamline logistics operations. Topics include algorithmic approaches and their impact on efficiency and cost reduction.

05
Track

Real-Time Monitoring in Supply Chains

This track addresses the importance of real-time monitoring technologies in supply chain management. Discussions will focus on tools and strategies that enhance responsiveness and agility.

06
Track

AI Applications in Logistics and Supply Chain

This session investigates the transformative impact of artificial intelligence on logistics and supply chain processes. Participants will explore AI-driven solutions for operational challenges.

07
Track

Enhancing Resource Efficiency through Data Analytics

This track focuses on leveraging data analytics to improve resource efficiency in logistics. It will cover techniques for measuring and optimizing resource utilization.

08
Track

Process Improvement Strategies in Supply Chains

This session highlights strategies for continuous process improvement within supply chains. Emphasis will be placed on methodologies that utilize data analytics for performance enhancement.

09
Track

Supply Chain Visibility and Transparency

This track discusses the critical role of visibility and transparency in modern supply chains. Participants will share insights on technologies and practices that foster greater supply chain clarity.

10
Track

Big Data Analytics for Logistics Optimization

This session explores the application of big data analytics in optimizing logistics operations. Case studies will illustrate the benefits of data-driven insights in decision-making.

11
Track

Operational Metrics for Supply Chain Success

This track focuses on identifying and utilizing key operational metrics to drive supply chain success. Discussions will include best practices for metric selection and performance evaluation.

Take Part in the Conference

학술대회 참가하기

Submit your abstract under the most relevant session track, or complete your registration to join the conference.

가장 적합한 세션 트랙에 초록을 제출하시거나, 등록 절차를 완료하여 학술대회에 참가하실 수 있습니다.
Submit Your Abstract 초록 제출 Register Now 지금 등록하기