Data Merging and Data Analysis to Estimate Supply Chain Fluidity
Date and Time: Wednesday, September 20: 1:00 PM - 2:30 PM
Location: Keck 103
Mario Monsreal
Texas A&M Transportation Institute
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Biography
Dr. Monsreal is a full-time Senior Research Scientist at the Texas A&M Transportation Institute. He has done extensive work on topics such as: statistical analyses in logistics operations, supply chain network, long-haul, first and last-mile planning, demand planning and forecasting, inventory management, reverse logistics, risk assessment in global supply chains, urban distribution, AutoID integrated systems, object tracking and tracing, order variability, routing schemes, data coding and standardization, and logistics corridors. He also leads technology implementation initiatives and work on cross-border and data intensive analyses, agent-based simulation and modeling, freight fluidity performance measures and freight strategies implementations.
Dr. Monsreal accounts for More than 20 years of hands-on and managing experience in logistics and supply chain operations and management, in companies such as BEPENSA Coca-Cola (Beverages Industry), Reckitt & Colman (Retail and FMCG Industry), Holcim (Cement Industry) and FEMSA (Beverages Industry) among others.
He has been the technical lead for European projects at the Auto Identification Department at the Zaragoza Logistics Center, Spain, collaborating directly with companies such as Intermec, Sun Microsystems, NEORIS, Siemens, TNO, DHL, and ISL among others; he also had responsibilities as manager for Latin America projects within the same institution (ZLC).
He was the Director of the Latin-American Center of Logistics Innovation-México (CLI-México), and led projects with national and international organizations. He also was a postdoctoral researcher at the Institut für Seeverkehrswirtschaft und Logistik (ISL), Bremen, Germany.
He is member of the National Academies of Science´s Transportation Research Board (TRB) Standing Committee on Freight Transportation Data, and the Committee Research Coordinator Council (CRC), U.S.A.
Co-presenter Biography
Data Merging and Data Analysis to Estimate Supply Chain Fluidity
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