scholarly journals A real-time Decision Support System for Big Data Analytic: A case of Dynamic Vehicle Routing Problems

2020 ◽  
Vol 176 ◽  
pp. 938-947
Author(s):  
Ines Sbai ◽  
Saoussen Krichen
Keyword(s):  
Big Data ◽  
Decision Support ◽  
Decision Support System ◽  
Vehicle Routing ◽  
Real Time ◽  
Support System ◽  
Vehicle Routing Problems ◽  
Dynamic Vehicle Routing ◽  
Routing Problems ◽  
Data Analytic

Study of Solution Approach for Dynamic Vehicle Routing Problems with Real-Time Information

2003 ◽  
Vol 1857 (1) ◽  
pp. 102-108 ◽  
Author(s):  
Ta-Yin Hu ◽  
Tsai-Yun Liao ◽  
Ying-Chih Lu
Keyword(s):  
Vehicle Routing ◽  
Real Time ◽  
Information Technologies ◽  
Vehicle Routing Problems ◽  
Dynamic Vehicle Routing ◽  
Routing Problems ◽  
Solution Approach ◽  
Traffic Conditions ◽  
Real Time Information ◽  
Time Information

Recent advances in commercial vehicle operations (CVO), especially in communication and information technologies, allow the study of dynamic vehicle routing problems under new and updated information, such as traffic conditions and new customers. Two major operational benefits of CVO include ( a) dynamically assigning vehicles to time-sensitive demands, and ( b) efficiently rerouting vehicles according to current traffic conditions. In this research, stochastic vehicle routing problems (SVRP) are considered and extended to incorporate real-time information for dynamic vehicle routing problems. The SVRP model is formulated by a chance-constrained model and is solved by CPLEX with branch-and-bound techniques. Numerical experiments are conducted in a Taichung city network to investigate dynamic vehicle routing strategies under real-time information supply strategies and to assess the effectiveness of such strategies in a dynamic perspective.

scholarly journals Individually Optimized Commercial Road Transport: A Decision Support System for Customizable Routing Problems

2019 ◽  
Vol 11 (20) ◽  
pp. 5544 ◽  
Author(s):  
Max Leyerer ◽  
Marc-Oliver Sonneberg ◽  
Maximilian Heumann ◽  
Tim Kammann ◽  
Michael H. Breitner
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Vehicle Routing ◽  
Support System ◽  
Real World ◽  
Environmental Sustainability ◽  
Route Planning ◽  
Road Transportation ◽  
Routing Problems ◽  
Routing Problem

The Vehicle Routing Problem (VRP) in its manifold variants is widely discussed in scientific literature. We investigate related optimization models and solution methods to determine the state of research for vehicle routing attributes and their combinations. Most of these approaches are idealized and focus on single problem-tailored routing applications. Addressing this research gap, we present a customizable VRP for optimized road transportation embedded into a Decision Support System (DSS). It integrates various model attributes and handles a multitude of real-world routing problems. In the context of urban logistics, practitioners of different industries and researchers are assisted in efficient route planning that allows for minimizing driving distances and reducing vehicle emissions. Based on the design science research methodology, we evaluate the DSS with computational benchmarks and real-world simulations. Results indicate that our developed DSS can compete with problem-tailored algorithms. With our solution-oriented DSS as final artifact, we contribute to an enhanced economic and environmental sustainability in urban logistic applications.

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