Hybrid Conferencee

International Conference on Data Analytics in Logistics and Supply Chain (ICDALSC - 27)

11th - 12th January 2027 | Florida, USA
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Conference Programme

Tentative Conference Agenda

Explore the proposed two-day programme developed around the conference Session Tracks and aligned United Nations Sustainable Development Goals.

Conference Format Hybrid Conference In-person and virtual participation
Programme 2 Days 11–12 January 2027
Academic Scope 11 Tracks Conference Session Tracks
Research Scope 20 Areas Call for Papers themes
SDG Alignment 5 SDGs SDGs 9, 11, 12, 16 and 17
Tentative Agenda & Timings

Session timings, sequence, track grouping and allocations are tentative and subject to change. Final timings will be confirmed closer to the conference. All timings follow the local time of the conference location.

Day 01

Opening, Keynote & Technical Sessions

11 JAN 2027 HYBRID
  1. 09:00 AM 09:30 AM

    Registration, Welcome Kit Collection & Virtual Check-in

    Participant arrival, credential verification and virtual lobby access.

    HYBRID
  2. 09:30 AM 09:45 AM

    Networking Tea & Digital Welcome

    Informal networking for on-site and virtual participants.

    HYBRID
  3. 09:45 AM 10:30 AM

    Welcome Address, Opening Plenary & Keynote Presentation I

    Opening of the conference and introduction to its research focus.

    PLENARY
  4. 10:30 AM 12:30 PM

    Concurrent Technical Session I

    3 TRACKS
    Track 01
    Innovations in Circular Economy Practices
    12911
    Track Overview

    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.

    Track 02
    Data-Driven Decision Support Systems
    9
    Track Overview

    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.

    Track 03
    Predictive Analytics in Supply Chain Management
    91217
    Track Overview

    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.

  5. 12:30 PM 01:30 PM

    Lunch & Networking Break

    Refreshment interval and networking opportunity.

    BREAK
  6. 01:30 PM 03:30 PM

    Concurrent Technical Session II

    3 TRACKS
    Track 04
    Optimization Techniques for Logistics Operations
    912
    Track Overview

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

    Track 05
    Real-Time Monitoring in Supply Chains
    911
    Track Overview

    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.

    Track 06
    AI Applications in Logistics and Supply Chain
    91217
    Track Overview

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

  7. 03:30 PM 04:00 PM

    Interactive Q&A, Day 1 Summary & Group Photo

    Closing interaction and key takeaways from the first day.

    CLOSING
View Day 02 Schedule →
Day 02

Keynote, Technical Sessions & Awards

12 JAN 2027 HYBRID
  1. 09:00 AM 09:15 AM

    Participant Check-in & Day 2 Welcome

    On-site attendance confirmation and virtual lobby access.

    HYBRID
  2. 09:15 AM 10:00 AM

    Keynote Presentation II

    Expert address on the future of the conference research domain.

    PLENARY
  3. 10:00 AM 12:00 PM

    Concurrent Technical Session III

    3 TRACKS
    Track 07
    Enhancing Resource Efficiency through Data Analytics
    129
    Track Overview

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

    Track 08
    Process Improvement Strategies in Supply Chains
    912
    Track Overview

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

    Track 09
    Supply Chain Visibility and Transparency
    916
    Track Overview

    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.

  4. 12:00 PM 01:00 PM

    Lunch & Networking Break

    Refreshment interval and professional networking.

    BREAK
  5. 01:00 PM 03:00 PM

    Concurrent Technical Session IV

    2 TRACKS
    Track 10
    Big Data Analytics for Logistics Optimization
    912
    Track Overview

    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.

    Track 11
    Operational Metrics for Supply Chain Success
    912
    Track Overview

    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.

  6. 03:00 PM 03:30 PM

    Publications, Best Paper & Best Presentation Awards

    Publication guidance and recognition of outstanding research contributions.

    AWARDS
  7. 03:30 PM 04:00 PM

    Valedictory Session, Closing Remarks & Group Photo

    Conference summary, acknowledgements and formal conclusion.

    CLOSING
← Back to Day 01 Schedule
Aligned SDGs
9 Industry, Innovation and Infrastructure 11 Sustainable Cities and Communities 12 Responsible Consumption and Production 16 Peace, Justice and Strong Institutions 17 Partnerships for the Goals

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