UPS NAAFN - Truck Scheduling for the North American Air Freight Network (NAAFN) Division of United Parcel Service (UPS)

Please use this identifier to cite or link to this item: http://hdl.handle.net/1853/22327

Title:	UPS NAAFN - Truck Scheduling for the North American Air Freight Network (NAAFN) Division of United Parcel Service (UPS)
Author:	Dhabliwala, Jessel ; Patrick, Megan ; Pelling, Tom ; Petty, Nathan ; Venugopal, Vikas ; Yilmaz, Selin
Description:	The UPS NAAFN team members included Jessel Dhabliwala, Megan Patrick, Tom Pelling, Nathan Petty, Vikas Venugopal, and Selin Yilmaz with adviser Alan Erera. In their project titled, Truck Scheduling for the North American Air Freight Network (NAAFN) Division of United Parcel Service (UPS), the team developed new methods for scheduling truck capacity for the NAAFN, minimizing total weekly scheduled and unscheduled trucking costs. Currently, truckload schedules are derived from average weekly demand. In this project, methodology was first developed to estimate day-of-week truckload demand distributions for all lanes. Stochastic scheduling models were then developed to determine truck schedules minimizing expected weekly costs. Results indicate that the new truck schedules may yield cost savings of 10%, or $6M annually. Runtime: 16:00
Type:	Presentation Video
URI:	http://hdl.handle.net/1853/22327
Date:	2008-04-30
Contributor:	Georgia Institute of Technology. School of Industrial and Systems Engineering
Publisher:	Georgia Institute of Technology
Subject:	Stochastic models Demand distributions Combinatorial auctions
Advisor:	Erera, Alan

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ups_naafn.mp4	50.73Mb	MPEG-4 video	View/ Open	Download Video
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