His scientific interests lie mostly in Mathematical optimization, Operations research, Transport engineering, Vehicle routing problem and Scheduling. His study in the field of Genetic algorithm, Heuristic and Exact algorithm is also linked to topics like Time windows and Pickup. His Operations research research includes elements of Public transport, Paratransit, Heuristics and Heuristic.
His work in Transport engineering tackles topics such as Service which are related to areas like Transit. His Vehicle routing problem research incorporates themes from Robust optimization and Tabu search. His Scheduling research is multidisciplinary, incorporating perspectives in Length of hospitalization, Integer programming and Bus bunching.
His main research concerns Mathematical optimization, Transport engineering, Operations research, Scheduling and Vehicle routing problem. Mathematical optimization and Algorithm are frequently intertwined in his study. Maged Dessouky has researched Transport engineering in several fields, including Truck and Service.
His work on Operations research is being expanded to include thematically relevant topics such as Service. In general Scheduling, his work in Job shop scheduling is often linked to Time windows linking many areas of study. Vehicle routing problem is a primary field of his research addressed under Routing.
The scientist’s investigation covers issues in Truck, Mathematical optimization, Traffic congestion, Routing and Operations research. The Truck study combines topics in areas such as TRIPS architecture, Transport engineering, Reuse, Zero emission and Scheduling. His Scheduling research includes themes of Freight trains and Algorithm.
His Mathematical optimization study integrates concerns from other disciplines, such as Vehicle routing problem, Warehouse and Order. Maged Dessouky studied Routing and Fuel efficiency that intersect with Time delays, Traffic conditions and Travel time. His study focuses on the intersection of Operations research and fields such as Incentive with connections in the field of Distributed algorithm and Transportation demand management.
Maged Dessouky spends much of his time researching Mathematical optimization, Incentive, Consolidation, Travel time and Truck. His Mathematical optimization study frequently links to related topics such as Vehicle routing problem. His study in Incentive is interdisciplinary in nature, drawing from both Bidding, Industrial organization, Economic efficiency and Mechanism design.
His study explores the link between Travel time and topics such as Load balancing that cross with problems in Operations research. His Truck research is multidisciplinary, incorporating perspectives in Time delays and Transport engineering. His Heuristic study integrates concerns from other disciplines, such as Branch and bound, Schedule, Heuristics, Rail freight transport and Scheduling.
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Ridesharing: the state-of-the-art and future directions
Masabumi Furuhata;Maged Dessouky;Fernando Ordóñez;Marc-Etienne Brunet.
A modeling framework for facility location of medical services for large-scale emergencies
Hongzhong Jia;Fernando Ordóñez;Maged Dessouky.
Solution approaches for facility location of medical supplies for large-scale emergencies
Hongzhong Jia;Fernando Ordóñez;Maged M. Dessouky.
A new regret insertion heuristic for solving large-scale dial-a-ride problems with time windows
Marco Diana;Maged M. Dessouky.
A robust optimization approach for the capacitated vehicle routing problem with demand uncertainty
Ilgaz Sungur;Fernando Ordóñez;Maged Dessouky.
Facility location under demand uncertainty: Response to a large-scale bio-terror attack
Pavankumar Murali;Fernando Ordóñez;Maged M. Dessouky.
Bus dispatching at timed transfer transit stations using bus tracking technology
Maged Dessouky;Randolph Hall;Ali Nowroozi;Karen Mourikas.
A new insertion-based construction heuristic for solving the pickup and delivery problem with time windows
Quan Lu;Maged M. Dessouky.
An Exact Algorithm for the Multiple Vehicle Pickup and Delivery Problem
Quan Lu;Maged Dessouky.
REAL-TIME CONTROL OF BUSES FOR SCHEDULE COORDINATION AT A TERMINAL
Maged Dessouky;Randolph Hall;Lei Zhang;Ajay Singh.
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