Open AccessOptimizing the location for the enterprise recycling the forestry production waste
Author(s) -
N. Tyurin,
L. Ya Gromskaya,
Т.С. Антонова,
V. A. Kalyashov,
V. N. Artemiev
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/786/1/012035
Subject(s) - production (economics) , raw material , renewable energy , process (computing) , finished good , supply chain , pellets , facility location problem , environmental economics , business , computer science , engineering , operations research , economics , chemistry , organic chemistry , electrical engineering , macroeconomics , operating system , oceanography , marketing , geology
The article discusses the optimization of the location of the enterprise for recycling the wood waste from logging and wood processing industries. A promising area of waste recycling is the production of wood-fuel pellets as an alternative renewable energy source. The raw material supply of pellet production means a lot of collection activities, in which transport costs play a decisive role. Sources of raw materials and consumers of finished products are distributed over vast territories. The paper proposes an integrated approach to solving the problems of the territorial location of the recycling plant based on logistic methods and the use of geographic information systems. The paper presents a mathematical model and a technique for optimizing the territorial distribution of pellet production by the criterion of the minimum transportation costs for raw materials. The developed methodology takes into account the existing infrastructure. It involves the full use of sources of raw materials, and also allows us to choose the best option for the location of the enterprise, taking into account the social and economic possibilities of construction. The technique has great versatility, which allows it to be used to place enterprises of various fields of activity. It clearly reflects the results of the problem solution, which simplifies the decision-making process on the location of enterprises.