Argentine cigarette industry: technological profile and behaviour

Includes bibliography

From infant industry to technology exports: the Argentine experience in the international sale of industrial plants and engineering works

Includes bibliography

Competition, oligopoly and technological change in the construction industry: the Argentine case

Includes bibliography

Mexican cement industry (technology, market structure and growth)

Includes bibliography

Argentine cement industry (technology, market structure and growth)

Includes bibliography

Exporting and the saga for competitiveness of Brazilian industry: 1992

Includes bibliography

The dynamic of employment in Chilean industry

Includes bibliography

Analysing green supply chain management practices in Brazil's electrical/electronics industry using interpretive structural modelling

Industries need to adopt the environmental management concepts in the traditional supply chain management. The green supply chain management (GSCM) is an established concept to ensure environment-friendly activities in industry. This paper identifies the relationship of driving and dependence that exists between GSCM practices with regard to their adoption within Brazilian electrical/electronic industry with the help of interpretive structural modelling (ISM). From the results, we infer that cooperation with customers for eco-design practice is driving other practices, and this practice acts as a vital role among other practices. Commitment to GSCM from senior managers and cooperation with customers for cleaner production occupy the highest level. © 2013 Copyright Taylor and Francis Group, LLC.

Anaerobic digestion of stillage to produce bioenergy in the sugarcane-to-ethanol industry

Stillage is the main wastewater from ethanol production, containing a high chemical oxygen demand in addition to acidic and corrosive characteristics. Though stillage may be used as a soil fertilizer, its land application may be considered problematic due its high polluting potential. Anaerobic digestion represents an effective alternative treatment to reduce the pollution load of stillage. In addition, the methane gas produced within the process may be converted to energy, which can be directly applied to the treatment plant. The objective of this paper was to investigate the energetic potential of anaerobic digestion applied to stillage in the sugarcane ethanol industry. An overall analysis of the results indicates energy recovery capacity (ERC) values for methane ranging from 3.5% to 10%, respectively, for sugarcane juice and molasses. The processes employed to obtain the fermentable broth, as well as the distillation step, represent the main limiting factors to the energetic potential feasibility. Considering financial aspects the annual savings could reach up to US$ 30 million due to anaerobic digestion of stillage in relatively large-scale distilleries (365,000 m3 of ethanol per year). The best scenarios were verified for the association between anaerobic digestion of stillage and combustion of bagasse. In this case, the fossil fuels consumption in distilleries could be fully ceased, such the ERC of methane could reach values ranging from 140% to 890%. © 2013 Taylor & Francis.

Technical and industrial aspects of regional integration and specialization in the Latin American automotive industry

Information Paper, No 13

Cost-volume ratios in the motor-vehicle industry; final assembly

Information Paper, No 19

Upgrading value chains through professional and supporting services: Lessons from three agro-industry chains in El Salvador and Guatemala

Includes bibliography

The impact of China’s incursion into the North American Free Trade Agreement (NAFTA) on intra-industry trade

China has become a major player in world trade. Although it has not signed any trade agreements with the countries of the North American Free Trade Agreement (NAFTA), China has been gaining ground as a supplier of goods, making vigorous inroads into this area. One of the dominant trends in economic integration has been the development of intra-industry trade, which has flourished in the nafta signatory countries. This paper focuses on the analysis of intra-industry trade in the context of this free trade area, where the production structure of the countries involved has changed significantly since trade liberalization, revealing the internationalization of production chains. Lastly, changes in the trade structure induced by the growing presence of China in the nafta region are captured. Trade within this area works like a radiated wheel, with the United States acting as the axis, while China, Canada and Mexico operate as the spokes.

Transmission Expansion Planning Via a Constructive Heuristic Algorithm in Restructured Electricity Industry

The transmission expansion planning problem in modern power systems is a large-scale, mixed-integer, nonlinear and non-convex problem. this paper presents a new mathematical model and a constructive heuristic algorithm (CHA) for solving transmission expansion planning problem under new environment of electricity restructuring. CHA finds an acceptable solution in an iterative process, where in each step a circuit is chosen using a sensitivity index and added to the system. The proposed model consider multiple generation scenarios therefore the methodology finds high quality solution in which it allows the power system operate adequacy in an environment with multiple generators scenarios. Case studies and simulation results using test systems show possibility of using Constructive heuristic algorithm in an open access system.

Integrated cutting machine programming and lot sizing in furniture industry

In this paper a mathematical model that combines lot-sizing and cutting-stock problems applied to the furniture industry is presented. The model considers the usual decisions of the lot sizing problems, as well as operational decisions related to the cutting machine programming. Two sets of a priori generated cutting patterns are used, industry cutting patterns and a class of n-group cutting patterns. A strategy to improve the utilization of the cutting machine is also tested. An optimization package was used to solve the model and the computational results, using real data from a furniture factory, show that a small subset of n-group cutting patterns provides good results and that the cutting machine utilization can be improved by the proposed strategy.