Zlatar Ski Center has an extremely high potential as a ski resort that could be among the most visited ones in Serbia. What characterizes this center is the proximity of Kokin Brod Lake, the Tara River and the like. Therefore, Zlatar should be considered both as a ski center and in terms of other diversities. The aim of this paper is to analyze the possibility of expanding the capacity of ski resorts by increasing the possible flow of skiers on new ski lifts and ski slopes. The methods used in this paper belong to operational research, specifically, the geometric interpretation of linear programming. It is also shown how to optimize the extended capacities. If the capacities of ski slopes are to be increased, it would initiate greater investment in accommodation capacities in the area of the municipality of Nova Varoš, which would affect its improvement in terms of tourism.
The paper presents the analysis of the transport plan by applying the geometric interpretation of linear programming, dual approach and simplex method to the optimization of the transport plan. The goal is to optimize the transport plan from the aspect of choosing the type of transport task, type and scope of engagement of transport means, in order to maximize the functions of the goal that represents the earnings. The approach to analysis is illustrated by a characteristic task that is solved in the paper in the described way. The main difference between this and the tasks analyzed so far is that the imposed restrictions represent a system of inequalities which, by introducing fictitious variables, is transformed into a system of equations to which the standard maximum problem is applied. The benefit of this approach is a simpler but also more comprehensive approach to the analysis of the transport plan. It is especially suitable for relatively small transport systems when there are a number of limitations and where it is not convenient to buy and use software packages. The emphasis in the paper is on maximizing earnings while meeting the imposed limits. The analysis yielded identical results in all three ways.
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.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.