Supply Chain Innovation Lab

The main objective of this project is to evaluate the capabilities of Jabil’s current transportation management system (MercuryGate) to provide upstream visibility to customers by enabling online, on-demand visibility of inbound parts deliveries from suppliers with varying levels of sophistication (i.e., large multi-nationals to small regional job shops). In addition, the project will look to investigate the value to Jabil’s customers of the potential implementation of extending visibility of inbound parts deliveries in terms of the enhancing the customer experience and customer loyalty.

The objective of this project is to extensively reengineer supply chain models to capture truer to actual estimates of key supply chain metrics not previously available with provided data from baseline optimization scenarios.  First mile/last mile can prospectively alter metrics by upwards of 60% as previous research suggests.

The goal of this research project is to identify the locations with high LAC development potential within Florida for future enhancement of successful Logistics Activity Center development while taking into account Florida’s particular conditions and factors.

• http://fcit.usf.edu/florida/maps/land_use/landcovr.htm
• http://fcit.usf.edu/florida/maps/pages/11800/f11852/f11852.htm

The objective of the research project is to identify the locations in Florida with empty backhauling using FDOT Weigh-in-Motion (WIM) data and to also provide recommendations on alternative modes of transportation (i.e. barge, rail, etc.) for specific industries. Florida has high potential for growth to alleviate empty truck backhauling.

The objective of the resilience component of this project was to conduct resiliency analysis of selected optimization scenarios.  Acquire federal data and explore potential hazards to pertinent supply chain scenarios, based upon most likely risks.  Employ multi-stage coding methodology.  Process and analyze scenarios in cooperation with USDOT Volpe Center to determine operational impact on supply chain under varying challenges.