Supply Chain and Data Analytics Lab

The hub for applied research that equips students and professionals with tools, methods, and strategic insights for building intelligent, ethical, and resilient supply chains – anchored in sustainability, analytics, AI, and emerging technologies.

The Supply Chain and Analytics Laboratory advances research, education, and innovation in supply chain management and data analytics through industry collaboration and data-driven solutions. SCAL promotes experiential learning and ethical, sustainable practices to prepare researchers in developing efficient and strategic supply chain systems.

Vision

SCAL envisions itself to be a world-class hub for supply chain solutions, strategies, and research supported by subject matter experts and a highly-engaged student body.

Mission

SCAL develops supply chain solutions using industrial engineering methods, information systems, analytics, and more.

CORE RESEARCH THEMES

Co-creating intelligent, sustainable, and user-responsive supply chain solutions through data-driven research and participatory design

Regular Activities

Meet the group

Laboratory Heads

Laboratory Fellows