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SEMINAR SERIES ON SUPPLY CHAIN MANAGEMENT Minimize    

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The University of Texas at El Paso
College of Business Administration
and College of Engineering

3.00 - 4.20 pm, Tuesday, March 29th, 2005
Venue: BUSN 302    

  Inventory Management Challenges at Global  
  Harness Systems de Mexico
  



Mr.Fred Tovar
Materials Manager




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The University of Texas at El Paso
College of Business Administration
and College of Engineering

10.30 - 11.50pm, Monday, March 28th, 2005
Venue: El Paso  Natuaral Gas Center

Supply Chain Strategy and Customer Delivery at Dell

Mr. Fred Montoya                                    
Vice President
WW fullfillment & logistcs

Mr.Arun Kumar
Director - Customer Delivery
   
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The University of Texas at El Paso
College of Business Administration
and College of Engineering

6.00 - 6.50 pm, Monday, March 14th, 2005
Venue: UGLC 116

       Engineering Value Through The Suuply Chain


Mr.Michael R. Hull
Raytheon Company
   
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The University of Texas at El Paso
College of Engineering
Civil Engineering and Industrial Engineering

4.30 to 5.50 pm, Wednesday, March 9th, 2005
UGLC 116

An Integrated Decision Support Tool For Airlines Schedule Recovery During Irregular Operation Condition


                  Dr. Khaled Abdelghany

  
                                                
 

Dr. Abdelghany is an assistant professor of Environmental and Civil Engineering at Southern Methodist University. Khaled got his Ph.D. from the University of Texas Austin. Prior to Joining SMU, he worked as part of the research and development group at United Airlines. His work at United Airlines concentrates on the development of decision support tools for the airport/airlines management during irregular operations. His research in the area of airport/airlines management has been published in several international journals. He has also contributed to the area of urban transportation planning and advanced traffic management systems with concentration on intermodal network modeling.


Service reliability and on-time performance of airlines schedule is key factor in maintaining satisfaction of current customers and attracting new ones. This requires clever management of the different airlines resources to limit flight delays/cancellations during irregular operations. We present a decision support tool which automates airlines schedule recovery during irregular operations. We implement a greedy simulation-optimization approach in a rolling framework. The approach integrates a flight simulation model and a resource assignment optimization model. The flight simulation model predicts the list of disrupted flights in the system as function of resources availability and legality. The optimization model combines different actions in one efficient plan to recover the projected list of disrupted flights. An example that illustrates the application of the tool on a hypothetical airlines network is also presented.


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