INVESTIGADORES
MONTAGNA Jorge Marcelo
congresos y reuniones científicas
Título:
Optimal forest supply chain design considering clusters conformation and production scale influence
Autor/es:
VANZETTI, NICOLÁS; MONTAGNA, JORGE MARCELO; CORSANO, GABRIELA
Lugar:
Santiago de Chile
Reunión:
Congreso; XVIII CLAIO, Congreso Latino-Iberoamericano de Investigación Operativa; 2016
Institución organizadora:
ALIO
Resumen:
The supply chain (SC) is formed by a large number of participants, including production units, suppliers and customers. Its successful operation depends on the agreement and coordination of the involved facilities. Therefore, it is necessary to consider aspects such as the harvesting and distribution of raw materials, products and by-products, so as to ensure that products are produced and distributed correctly. In particular, the forest SC has a large number of participants, which by its heterogeneity, poses interesting integration challenges to be faced.In the Argentinean context, the forest industry is one of the most important topics of interest, as defined by MINCyT (the local Ministry of Science and Technology). It turns out to be a sector of high economic attractiveness that has great potential for growth, mainly due to the possibilities of increasing and improving productivity through the application of various types of technologies. Moreover, the continuous increase in energy requirements and the need of new sources of environmentally friendly energy has driven the development of bioenergy, in particular second generation biofuels, those produced from raw materials that do not compete with the food sector. Considering these matters and the large amount of wastes generated by the forest industry, biofuel production is an attractive option for adding value to the forest SC.Taking into account the characteristics of the involved industries in supply chain, the scale of production of various factories is a critical topic when selecting the location and sizing of the production plants. The installation of large size plants reduces the fixed and operative costs, but it increases the transportation costs due to the movements of high volume of raw materials, residues and products. Therefore, there is a tradeoff between industry scale and transportation issues. In this way, the option of smaller size plants located near to raw material sites seems to be more attractive.Another key element to be considered is the integration among the involved plants. In the forest industry there are several relations among the different production plants, as well as an important competition for the use of raw materials, residues and byproduct. In this sense, grouping plants forming clusters can be a good option to improve resource sharing and its use, and thus reducing costs. This is a particular feature of this industry, which states several alternative integration scenarios and that it is worth to be studied. Mathematical programming represents a useful tool for designing and planning the operations involved in the SC. The aim of this work is to present a mixed integer linear programming model for the optimal design and strategic planning of a forest SC.The model considers different production plants (sawmills, woodboards, pellets, and biorefineries) with the possibility of being installed in different places. Raw materials will be acquired from various sites with different species of trees and qualities. Each factory will produce diverse types of products to be distributed in several areas of consumption. Different decisions such as facilities location and size, material flows, alternative uses of the materials, etc. are effectively considered and the optimal integration of the SC is attained. Thus, the simultaneous optimization allows analyzing and assessing the different involved tradeoffs and the network performance in a comprehensive way.Installation of clusters is compared with the individual factories. A detailed analysis of has on the transportation and production cost, and residues, by-products and products production and distribution, as well as the effect of the production scale in the chain, is presented.