ThaiBev: Efficient and Scalable Logistics Operations and Anomaly Detection Based on Large Data

Multi-national manufacturers are facing logistical complications regarding complexity and scalability as the number of independent agents operating within supply chains increases. To address these issues faced by Thai Beverage Logistics (TBL), researchers from CMKL University and Carnegie Mellon University have developed a scalable abstraction modeler for large logistics operations in collaboration with ThaiBev. Known as Smart Logistics, the software is used to cut logistics costs by maintaining more accurate inventory, save transportation costs by identifying the most efficient shipping routes, and provide more timely updates following anomaly detection. By addressing suboptimal processes in logistics operations, Smart Logistics will significantly reduce operational costs while improving performance and efficiency.

Researcher
Senbo Fu
Ke Wang
Jittinat Nartnorakij
Software Engineer
CMKL University
Athiyut Ratchatajaroenchaikul
Research Assistant
CMKL University
Wachirawit Siripakthanakorn
Research Assistant
CMKL University
Advisor
Hyong Kim
Professor
Carnegie Mellon University
Akkarit Sangpetch
Assistant Professor
CMKL University
Orathai Sangpetch
Assistant Professor
CMKL University
Teerapan Luengnaruemitchai
Thai Beverage Public Company Limited
Nuntakrit Vattanaliangjai
Juthamas Chaiprem
Thai Beverage Public Company Limited
Arajabhorn Chantavali
Totrakool Khongsap