Lineage Logistics Oct 2019 - Oct 2019
Technical Project Manager, Data Science
Lineage Oct 2019 - Oct 2019
Technical Project Manager, Data Science
Toyota North America Sep 2016 - Sep 2018
Logistics Operations Analyst
Toyota North America Jul 2014 - Sep 2016
Operations Leader
Toyota North America Jul 2013 - Jul 2014
Logistics Management Trainee
Education:
California State University, Long Beach Jan 1, 2009 - Dec 31, 2013
Bachelors, Bachelor of Science, Business Administration, Supply Chain Management
Skills:
Event Management Event Planning Social Media Marketing Management Operations Management Sales Toyota Production System Toyota Way Kaizen Logistics Supply Chain Management Leadership Lean Tqm Continuous Improvement Project Management Process Improvement 5S Diversity and Inclusion Public Speaking Training Sports Microsoft Excel Customer Service Microsoft Office Business Process Improvement
- Irvine CA, US Michael Lingzhi Li - Cambridge MA, US Elliott Gerard Wolf - Oakland CA, US Chloe Mawer - San Francisco CA, US Caitlin Voegele - San Francisco CA, US Zhou Daisy Fang - Durham NC, US Maya Ileana Choudhury - Winter Park FL, US Julia Long - Durham NC, US Sudarsan Thattai - Palos Verdes Estates CA, US Jeffrey Alvarez Rivera - Northville MI, US
International Classification:
G06Q 10/08 G06Q 50/28 G06N 20/00 B65G 1/137
Abstract:
A computer-based technology is provided to optimize a warehouse space, such as warehouse racks. The technology determines a storage duration of a pallet in a warehouse, and further determines an optimal storage location for the pallet in the warehouse. For example, the technology can determine how long an inbound pallet will stay in a warehouse, and locate an optimal area of the warehouse to store the pallet. Such an optimal pallet storage area is selected to reduce labor costs in transporting the pallet in, within, and out of the warehouse and further optimize the management of multiple pallets in the warehouse as a whole. In addition, the technology can consider the size of the pallet in determining the optimal storage location in the warehouse.
- Irvine CA, US Michael Lingzhi Li - Cambridge MA, US Elliott Gerard Wolf - Oakland CA, US Chloe Mawer - San Francisco CA, US Caitlin Voegele - San Francisco CA, US Zhou Daisy Fang - Durham NC, US Maya Ileana Choudhury - Winter Park FL, US Julia Long - Durham NC, US Sudarsan Thattai - Palos Verdes Estates CA, US Jeffrey Alvarez Rivera - Northville MI, US
International Classification:
G06Q 10/08 G06Q 50/28 G06N 20/00 B65G 1/137
Abstract:
A computer-based technology is provided to optimize a warehouse space, such as warehouse racks. The technology determines a storage duration of a pallet in a warehouse, and further determines an optimal storage location for the pallet in the warehouse. For example, the technology can determine how long an inbound pallet will stay in a warehouse, and locate an optimal area of the warehouse to store the pallet. Such an optimal pallet storage area is selected to reduce labor costs in transporting the pallet in, within, and out of the warehouse and further optimize the management of multiple pallets in the warehouse as a whole. In addition, the technology can consider the size of the pallet in determining the optimal storage location in the warehouse.
- Irvine CA, US Julia Long - Durham NC, US Peter Greskoff - Boston MA, US Chloe Mawer - San Francisco CA, US Caitlin Voegele - San Francisco CA, US Daniel Walet - Oakland CA, US Elliott Gerard Wolf - San Francisco CA, US
International Classification:
G06Q 10/08 G06Q 10/06
Abstract:
This specification generally discloses technology for optimizing the loading of pallets on trucks and other sorts of vehicles. A pallet loading technique includes receiving pallet information for a shipment, the pallet information describing pallets to be included in the shipment, receiving vehicle constraint information for a vehicle, the vehicle constraint information describing rules for loading pallets on the vehicle, and determining candidate solutions for loading the pallets on the vehicle, each candidate solution (i) satisfying the rules for loading pallets on the vehicle, and (ii) defining, for each pallet to be included in the shipment, a respective position and orientation of the pallet on the vehicle. At least some of the candidate solutions are evaluated, one of the candidate solutions is selected, and the vehicle is loaded according to the selected candidate solution.
Profiling Pallets And Goods In A Warehouse Environment
- Irvine CA, US - Arlington TX, US Chris McMurrough - Arlington TX, US James Staud - Arlington TX, US Caitlin Voegele - San Francisco CA, US Tony Taurone - Sunnyvale TX, US Daniel Thomas Wintz - San Francisco CA, US Maxwell Micali - Berkeley CA, US Charles Inokon - Raleigh NC, US Michael Buenger - Sunnyvale TX, US Elliott Gerard Wolf - Oakland CA, US
In one implementation, a system for automatically profiling pallets includes a frame defining an opening that is sized and shaped for a pallet to pass through, and cameras mounted to the frame, the cameras being configured to capture images of a pallet as it passes through the frame. The system further includes a profiling computer system that is configured to receive the images captured by the cameras and to automatically profile the pallet based, at least in part, on analysis of the images. Automatically profiling the pallet includes generating a point cloud representing the pallet based on the images, determining a size of the pallet based on the point cloud generated from images of the pallet, identifying contents of the pallet based on the images, and providing pallet information identifying, at least, the size and contents of the pallet to a warehouse management system in association with the pallet.