Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2005.Includes bibliographical references (leaves 121-122).The analysis of transportation contracts using optimization software may yield higher actual freight expenditures due to unplanned events during execution. This thesis explores new methods for developing robust transportation plans leading to lower total cost by developing a transportation plan minimizing unplanned events and quantifying a cost of service for use in existing optimization models. Robust transportation planning methodology requires the analysis of a variety of transactional related data, the application of analytical tools and performance measurement techniques. This the...
Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, ...
Purpose The purpose of this paper is to help shippers determine a negotiation yardstick for transpor...
In recent years, the importance of incorporating uncertainty into planning models for logistics and ...
This dissertation presents three issues encountered by a shipper in the context of truckload transpo...
In recent years, the importance of incorporating uncertainty into planning models for logistics and ...
Thesis (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division, 2013.Cataloged f...
Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, ...
Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, ...
This dissertation focuses on designing decision support systems for efficient management in trucking...
This dissertation focuses on designing decision support systems for efficient management in trucking...
This dissertation focuses on designing decision support systems for efficient management in trucking...
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, ...
Thesis: M. Eng. in Logistics, Massachusetts Institute of Technology, Engineering Systems Division, 2...
Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, ...
Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, ...
Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, ...
Purpose The purpose of this paper is to help shippers determine a negotiation yardstick for transpor...
In recent years, the importance of incorporating uncertainty into planning models for logistics and ...
This dissertation presents three issues encountered by a shipper in the context of truckload transpo...
In recent years, the importance of incorporating uncertainty into planning models for logistics and ...
Thesis (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division, 2013.Cataloged f...
Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, ...
Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, ...
This dissertation focuses on designing decision support systems for efficient management in trucking...
This dissertation focuses on designing decision support systems for efficient management in trucking...
This dissertation focuses on designing decision support systems for efficient management in trucking...
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, ...
Thesis: M. Eng. in Logistics, Massachusetts Institute of Technology, Engineering Systems Division, 2...
Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, ...
Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, ...
Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, ...
Purpose The purpose of this paper is to help shippers determine a negotiation yardstick for transpor...
In recent years, the importance of incorporating uncertainty into planning models for logistics and ...