Mathematical modeling of transport of machines in production forests

Name: GIOVANNI CORREIA VIEIRA

Publication date: 29/05/2018
Advisor:

Namesort descending Role
GILSON FERNANDES DA SILVA Advisor *

Examining board:

Namesort descending Role
ADRIANO RIBEIRO DE MENDONÇA Internal Examiner *
GILSON FERNANDES DA SILVA Advisor *
NILTON CESAR FIEDLER Internal Examiner *

Summary: Harvesting and forest transport account for most of the costs of pulpwood in the pulp industry's yard. Efficient planning can reduce the production costs of companies in this segment. In this sense, operational research has the potential to be used in the optimal solution of a recurring problem in forestry companies, which is the need for efficiency in the transportation logistics of forestry machines, in order to avoid as much as possible the waiting time for transport. Therefore, the objective of this work is to propose a model of programming and routing of the transport of forest machines using operational research techniques. It is a multiobjective problem that seeks to determine the shortest distance route, the minimum possible delay and the ideal number of vehicles for the transport of forest machines. The problem also presents constraints to be met, such as a specific time for the transportation of each machine, a heterogeneous fleet to meet the machines that have different dimensions. The modeling methodology was based on the problem of routing vehicles with collection and delivery, time windows and heterogeneous fleet - PRVCEJTFH with modifications to meet the objectives of this study. As a method of solution, the exact method using the Branch and Bound algorithm was used. The model of optimization of the transport of forest machines made it possible to find an optimal solution to determine the transport route with the lowest distance weighted by the quality of the road and minimized the number of vehicles used to transport the machines. These solutions are directly related to the costs associated with the transportation of forest machines. In situations of high demand the company minimized the delay. In these circumstances the manager can decide to reduce the delays regardless of the number of vehicles needed to transport the machines. This decision should be made considering economic and technical aspects. The proposed model shows effectiveness and efficiency, making it possible to obtain the best possible solution in each situation and in an acceptable time.

Keywords: Planning, logistics, optimization, operational research, forest management.

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