The paper examines the problem of decision-making by a team of volunteers in transport logistics tasks under conditions of dynamic changes in the external environment. Transport logistics is a system of organizing cargo delivery to the place of need along a certain route. The task of transport logistics, during dynamic changes in the external environment, is a task of multi-criteria selection due to consideration of various criteria. Solving the problems of transport logistics requires the construction of a conceptual model of decision-making support, regarding the choice of the best route, taking into account all the factors that influence decision-making, and the choice of the decision-making method. The multi-criteria decision-making methods which are used in the transport sector are analyzed. A conceptual model of decision-making support for choosing the optimal route in the transport logistics problem is proposed. Verification of the proposed model was carried out, for which the task of choosing the best route of cargo transportation in the transport logistics problem was set and solved. When finding a solution, the multi-criteria decision-making methods were used: Analytic Hierarchy Process method, Multiplicative Analytic Hierarchy Process method, Simple Multi-Attribute Rating Technique method, improved Simple Multi-Attribute Rating Technique method. The criteria used to evaluate alternative routes for cargo transportation were identified based on volunteer surveys. In order to evaluate the alternatives according to the established criteria, volunteer experts were involved, since during dynamic changes in the conditions of cargo transportation, the involvement of professional experts is a difficult task. To establish the reliability of the evaluations of alternatives according to the criteria obtained from volunteer experts, the Kendall and Spearman correlation coefficients were calculated. Analytic Hierarchy Process method, Multiplicative Analytic Hierarchy Process method, and the improved Simple Multi-Attribute Rating Technique method are found to provide the most reliable results, but the Analytic Hierarchy Process method and Multiplicative Analytic Hierarchy Process methods are more time-consuming during data input than the improved Smart method
The work is devoted to the issue of designing the architecture of a mobile system for choosing the route of cargo transportation and passenger transportation by a team of volunteers under martial law. The system provides support to the decision-maker -the coordinator of the volunteer team in conditions of information uncertainty and dynamic changes in the external environment. The system allows you to receive and take into account operational information about the state of the route segments, which is provided by experts in the role of volunteers.The architecture of the mobile system for the volunteer team in the conditions of dynamic changes is client-server. The client sends data entered by volunteer experts to the server using a mobile phone or Internet connection. The volunteer team coordinator's mobile device is the server of the volunteer team's mobile decision support system. The server has a three-tier architecture: the presentation tier, the application logic tier, and the data tier. At the program logic level, a decision-making subsystem based on the multi-criteria modified Smart method is implemented. As a backup, data from the database on the volunteer team coordinator's device is uploaded to the database located on a remote web server.Based on the developed architecture, a mobile system for building a recommended route for a team of volunteers was developed in Java in Android Studio. As an application of the developed mobile system, a practical example of determining the best of five existing cargo transportation routes is considered
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.