New Developments in Logistics & Transportation Planning

SA35.1 Planning Virtual Inventories

• Apostolos N. Burnetas; Case Western Reserve University, Dept. of Ops., WSOM, 10900 Euclid Ave., Cleveland, OH 44106-7235; atb4@po.cwru.edu
• Ronald H. Ballou; Case Western Reserve University, Dept. of Operations, WSOM, Cleveland, OH 44106; rhb4@po.cwru.edu

Supplying customer demand from alternate inventory locations when an item is out of stock at its primary stocking point creates a virtual inventory for that item. The expectation is that if more inventories can be drawn upon, the inventory for an item would be lower, the fill rate would be higher, or both. While generally true for safety stock, regular stocks, on the other hand, rise with such cross filling of demand...

SA35.2 Capacity & Flexibility Assessment of Transportation Systems

• Denny Cho; University of Pennsylvania, Dept. of Systems Eng., Philadelphia, PA 19104-6315; denny@seas.upenn.edu
• Edward K. Morlok; University of Pennsylvania, Dept. of Systems Eng., Philadelphia, PA 19104-6315; morlok@seas.upenn.edu
• Zhi-Long Chen; University of Pennsylvania, Dept. of Systems Eng., 220 South 33rd St., Philadelphia, PA 19104-6315; zlchen@seas.upenn.edu

We review existing models and approaches for assessing capacity and flexibility of a transportation system. New models, metrics and solution approaches based on optimization and simulation will be presented.

SA35.3 Supply Chain Networks with Competition

• Anna Nagurney; University of Massachusetts, Isenberg Sch. of Mgmt., Amherst, MA 01003; nagurney@gbfin.umass.edu
• June Dong; SUNY, Coll. of Bus., Oswego, NY 13126; dong@oswego.edu
• Ding Zhang; SUNY, Sch. of Business, Oswego, NY 13126; zhang@oswego.edu

We develop a framework for the formulation, analysis and computation of solutions to supply chain network problems with competition. We identify the network structure of the supply chain problem in equilibrium and utilize the variational inequality formulation for the prediction of the prices and shipments.

SA35.4 Vehicle Routing with Cross Docking

• Zhi-Long Chen; University of Pennsylvania, Dept. of Systems Eng., 220 South 33rd St., Philadelphia, PA 19104-6315; zlchen@seas.upenn.edu
• Hang Xu; ;

We consider vehicle routing problems where there are some cross docks available in the underlying network. An order can be either directly delivered without using a cross dock or delivered through a cross dock. We propose heuristics for solving such problems and analyze their asymptopic performance.