Diagnosis of the production and sales sectors of materials in... Brazilian house construction production chain: contributions for
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Diagnosis of the production and sales sectors of materials in the Brazilian house construction production chain: contributions for the development of technological foresight studies The Brazilian construction sector has recently been showing intense growth, and its dynamism is due to institutional changes and evolution in the macroeconomic scenario. The increasing volume of new constructions has put pressure on the construction materials sectors and some consequences of this situation have already been noticed, such as local supply problems and variation in the price of some materials. This explorative research is inserted in this scenario and aims to make a diagnosis of the production and sales sectors of materials in the house construction production chain, using a method based on the concept of technological foresight. First diagnostic step Characterization of the building materials sector This part of the research, which aims to establish a structure model of the building materials sector in Brazil, was based on the analysis of the classifications of this industrial sector and on fundamental concepts used in the technological foresight studies of Castro & Lima. ORGANIZATIONAL AND INSTITUTIONAL ENVIRONMENT BASIC MATERIALS MANUFACTURE EXTRACTION AND BENEFICIATION COMPONENTS INDUSTRIALIZATION SAND AGGREGATE CEMENT LIMESTONE ASSOCIATION AND Premolded concrete elements CLAY Prefabricated facades WHITE CERAMIC RED CERAMIC Flat glass GLASS Plywood (concrete form) WOOD CHAINS outside the construction complex The method is based on bibliographical and descriptive researches, also using field data collection to gather up-to-date information. The data were obtained in a review of the bibliography and of specific data about production and sales in the sector; interviews were also conducted with representatives of the production chains of the materials under analysis. The conceptual model proposed by Castro & Lima (2001) of technological foresight method for production chain analysis was adopted. SECTOR Division WOOD panels IRON Industrial plywood (construction) WOOD door and window frames STEEL structures Bars and frames STEEL frames ALUMINUM ALLUMINUM frames Wires and cables COPPER Ironware ZINC PETROCHEMICAL PVC tubes Paints PVC frames Figure 1. Basic structure model of the building materials sector Table 1: Critical Factors and forces Degree Critical factors of impact Sand And Aggregate H Forces Cr* Transportation cost Informality index Productive capacity (general) Government-level planning (+) Excessive environmental requirements (-) Ef Productive capacity of the machine and equipment sector (+) and environmental requirements (-) Government-level planning (+) Poor managerial and entrepreneurial capacity (-) Government incentives for reforestation (+) Excessive environmental requirements (-) Ef Wood H Transportation cost Product quality for construction Productive capacity Productive capacity Limestone H M H Transportation cost Conformity index Availability of energy materials High taxes (-) Index of participants in quality programs (+) Energy matrix (+) Ef/C Gypsum H Transportation cost (logistics) Investments on transportation infrastructure (+) Ef Ceramic Red H Transportation cost Operational costs High taxes (-) Ceramic White M Transportation cost (logistics) Investments on transportation infrastructure (+) Ef M Transportation cost Investments on infrastructure Ef M Transportation cost High taxes (-) Productive capacity (specific regions) Availability of credit for the purchase of machines to Productive capacity (new plants) expand productive capacity (+) Excessive environmental requirements (-) Ef M Transportation cost (logistics) Investments on transportation infrastructure (+) Ef Transportation cost (logistics) Investments on transportation infrastructure (+) Transportation cost (logistics) Investments on transportation infrastructure (+) Glass Cement Iron Bars and frames Building stones M Ef/C Ef Aluminum Door and window frames L Copper Wires L Transportation cost Investments on infrastructure Ef Zinc Ironware L Transportation cost Investments on infrastructure Ef Chemical and Petrochemical PVC L Lack of raw material (from the petrochemical sector) Energy matrix (+) Paints L Lack of raw material (monomers of chemical sector and packaging) Energy matrix (+) Transportation cost (logistics) Worker turnover Speculative purchase Investments on transportation infrastructure (+) Rigidity of labor laws (-) Mechanisms to avoid speculation (+) Sales (in general) Heitor Cesar R. Haga Department of Civil Construction Engineering, Escola Politécnica of Universidade de São Paulo - Brazil Tel. +55 11 3091 5459 • Fax +55 11 3091 5715 http://heitorhaga.pcc.usp.br/ E-mail: [email protected] © European Communities, 2007 Prefabricated structures Building stones The objective of this poster is to describe the application of this method and to present some main results, like the performance analysis, identification of critical factors, their respective driving and restrictive forces. These results are elements to be used in prospective studies in this sector. Contact ASSEMBLY Prefabricated toilets Cement mass and industrialized concrete GYPSUM Conclusions The research shows that all segments of the Brazilian construction sector are focusing their efforts to obtain production capacity efficiency, so as to guarantee the supply of their products. The scarcity of data and knowledge regarding the distribution of building materials leads to the conclusion that the exercise undertaken in this research study - containing important pointers for undertaking further diagnostic and prognostic studies - could certainly provide valuable information for formulating strategies for the development of the housing construction production chain and its components/sectors in Brazil. It can be concluded that the adopted method shows strong potential to be used to analyze production chains in the construction materials industry for developing countries. SUBSYSTEMS 2008 INTERNATIONAL CONFERENCE Ef Ef Ef Ef