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Considering the growing concerns and importance of environmental issues, manufacturing industrialists, in particular those in electronics manufacturing, are seeking methods to evaluate the environmental performance of their manufacturing processes. These environmental evaluation tools should be capable of performing detailed analysis on the environmental performance of each individual process unit, identifying the environmental improvement opportunity and providing adequate decision support to environmental engineers for process modification and operational change. This paper modifies and improves the environmental impact evaluation model already developed and provides directions for decision-making at various stages of the analysis. The decision algorithm in this revised model adopts a hierarchical environmental impact evaluation approach and uses five impact categories related to ecological health and seven categories related to human health to form the base of an evaluation hierarchy. The algorithm, with its evaluation results presented in all levels of the hierarchy, is proposed as a means of tracking, controlling and improving the environmental performance of a process. A printed circuit board case study shows the effectiveness and applicability of the algorithm. The results indicate that the electroless copper process has a higher impact on ecological health than on human health, and that the phosphoric acid in the waste components is the identified major source of the impact on ecological health. [ABSTRACT FROM AUTHOR]

'Green' manufacturing has become an important issue in industry, driven by regulations governing manufacturing emissions, growing worldwide environmental certification requirements (ISO 14000) and an emerging consumer preference for ecolabel products. Establishing a quantitative and effective assessment model to assess the environmental impact of manufacturing processes for a product has become important. This paper focuses on analysing the uncertainty of weighting factors in an environmental impact assessment and applying fuzzy set theory to determine the vague or fuzzy weighting factors of the various environmental impact categories. A case study demonstrates that the fuzzy set-based model can effectively account for the vagueness and uncertainty of information being used for environmental impact assessments. The proposed fuzzy model is useful, not only for evaluating the environmental impact of a manufacturing process, but also for selecting processes when environmental impact is one of the factors to be considered. [ABSTRACT FROM AUTHOR]

During the 1990s, Computer-Aided Design (CAD) and Computer-Aided Process Planning (CAPP) have emerged as effective means of improving productivity and efficiency, resulting in widespread research work related to CAD and CAPP integration in the hope of achieving seamless data flow among the relevant computer systems. Unfortunately, the efficiency of process planning systems still needs significant improvement due to the problems of design data loss or design data mis-interpretation. This paper attempts to introduce an intelligent computer-integrated system for reliable design feature recognition in order to achieve automatic process planning. Moreover, it describes a rule-based computer-integrated system for recognizing features of components stored as STEP format, analyzing the design files and designing manufacturing processes. In this approach, the STEP design file is used as the information source for generating detailed manufacturing process. The significance of this research is that the product designs with dissimilar formats from various CAD systems can now be interconnected and automatically coded for multiple manufacturing purposes. It presents an effective method that rule-based reasoning is used to create optimal process plans for metal cutting. [ABSTRACT FROM AUTHOR]