Intelligent planning and scheduling system
This paper will document the front-end development of various Vehicle Routing Problem (VRP), i.e., Classical VRP (VRP), VRP with capacity constraints (CVRP), VRP with pick-up and delivery constraints (VRPDP), and VRP with time window constraints (VRPTW). The main goal is to visualize and animate th...
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Nanyang Technological University
2023
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sg-ntu-dr.10356-1657402023-04-14T15:37:27Z Intelligent planning and scheduling system Hwang, Krystal Yan Lin Zhang Jie School of Computer Science and Engineering ZhangJ@ntu.edu.sg Engineering::Computer science and engineering This paper will document the front-end development of various Vehicle Routing Problem (VRP), i.e., Classical VRP (VRP), VRP with capacity constraints (CVRP), VRP with pick-up and delivery constraints (VRPDP), and VRP with time window constraints (VRPTW). The main goal is to visualize and animate the various VRP solutions through Hyper-Text Markup Language (HTML). The solution of the various VRPs will be saved in JavaScript Object Notation (JSON) format from Python for front-end to consume. The front-end which consists of HTML and JavaScript will process the solution and make use of Google Application Programming Interface (Google API) and OR tools to allow users to have an interactive view of shipment points and path routes taken by individual vehicles. Bachelor of Engineering (Computer Science) 2023-04-10T04:40:21Z 2023-04-10T04:40:21Z 2023 Final Year Project (FYP) Hwang, K. Y. L. (2023). Intelligent planning and scheduling system. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/165740 https://hdl.handle.net/10356/165740 en PSCSE21-0012 application/pdf Nanyang Technological University |
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Engineering::Computer science and engineering Hwang, Krystal Yan Lin Intelligent planning and scheduling system |
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This paper will document the front-end development of various Vehicle Routing Problem (VRP), i.e., Classical VRP (VRP), VRP with capacity constraints (CVRP), VRP with pick-up and delivery constraints (VRPDP), and VRP with time window constraints (VRPTW).
The main goal is to visualize and animate the various VRP solutions through Hyper-Text Markup Language (HTML).
The solution of the various VRPs will be saved in JavaScript Object Notation (JSON) format from Python for front-end to consume. The front-end which consists of HTML and JavaScript will process the solution and make use of Google Application Programming Interface (Google API) and OR tools to allow users to have an interactive view of shipment points and path routes taken by individual vehicles. |
author2 |
Zhang Jie |
author_facet |
Zhang Jie Hwang, Krystal Yan Lin |
format |
Final Year Project |
author |
Hwang, Krystal Yan Lin |
author_sort |
Hwang, Krystal Yan Lin |
title |
Intelligent planning and scheduling system |
title_short |
Intelligent planning and scheduling system |
title_full |
Intelligent planning and scheduling system |
title_fullStr |
Intelligent planning and scheduling system |
title_full_unstemmed |
Intelligent planning and scheduling system |
title_sort |
intelligent planning and scheduling system |
publisher |
Nanyang Technological University |
publishDate |
2023 |
url |
https://hdl.handle.net/10356/165740 |
_version_ |
1764208090228457472 |