System of automated planning of passenger transportation logistics
Students Name: Stepaniuk Yaroslav Oleksandrovych
Qualification Level: magister
Speciality: Software Engineering
Institute: Institute of Computer Science and Information Technologies
Mode of Study: full
Academic Year: 2022-2023 н.р.
Language of Defence: англійська
Abstract: The complexity of the logistics of passenger transportation increases in emergency situations. There is a need to develop a software system for automating the distribution of transport resources and finding the optimal route. This will allow to quickly and efficiently calculate sets of road transport for logistic transportation and plan a route taking into account information about obstacles on the route. In the course of the work, the problems of resource allocation for various classes of logistics tasks and the problem of finding the optimal route were analyzed. Optimization algorithms for calculating the distribution of logistics resources and methods for finding optimal routes were studied. A model for the logistics problem in the form of a nonlinear optimization problem is proposed. Optimization algorithms for calculating the distribution of logistics resources and methods for finding optimal routes were studied. The software architecture of the logistics system consisting of two applications has been developed. A desktop application and a web application were developed to automate resource allocation calculations, with the implementation of optimization algorithms using Gekko and MS Solver modules. The following technologies were used to develop the system: for the web application – Django and Vue, Python and JavaScript programming languages, HTML markup language, and CSS styles, for the desktop application – VBA UserForms, Visual Basic programming language, MS Excel software. The obtained results were studied to check the effectiveness of solving the logistics problem. Studies have shown good characteristics of the software in terms of accuracy and speed of calculations of the distribution of logistics resources. The volume of work is 58 pages.