No abstract

Materials have very important influence on the environmental impact of the product life cycle from production to disposal and recycling. The environmental factors should be considered when product materials are selected, in order to improve the environmental friendliness of products. Due to the complexity of product material selection considering technical, economic and environmental factors, it is transformed into a decision-making problem. An integrated decision-making index system is presented, and a multi-objective decision-making framework model is established according to the index system. An algorithm integrating grey relation analysis (GRA) and analytic hierarchy process (AHP) is used to aid the decision making process. A material selection case of the housing of an electronic device is introduced, which shows the feasibility and effectiveness of the model and method presented.

To make the environmental performance measuring system a useful inspective and supervisory tool during the life cycle of a Green Manufacturing (GM) program, a measure system is presented. It includes three primary indexes corresponding to the GM program life cycle, which are fundamental construction level, application level and continuous improving level. And 19 secondary measures are subdivided, too. After that, the values of the measures are determined involving qualitative and quantitative index. And then Back Propagation Neural Network (BPNN) is applied to evaluate the environmental performance of GM programs in enterprise, in which 10 samples are used to train the measuring model with Matlab 7.0, and the data are selected from the Internet and digital library. The environmental performance evaluation of a machine tool company in Chongqing shows the effectiveness and validity of the model, and this method can be applied in industrial enterprises while implementing GM.

Selecting an appropriate strategy is very important to the Green Manufacturing implementation. Strengths, Weaknesses, Opportunities and Threats (SWOT) analysis is a commonly used tool for strategic management. Here SWOT analysis in combination with AHP is used to the selection of GM strategy. The strategic factors system of SWOT analysis for GM strategy is constructed by analyzing internal and external environments of the enterprise. Then AHP based SWOT analysis is introduced in detail. A case study demonstrates the application of AHP based SWOT analysis in GM strategy selection and shows its feasibility and validity.

Analysis of energy consumption which could explore energy saving potential is of important significance for energy saving in manufacturing enterprises. An analysis model including physical and monetary input-output models for energy consumption in manufacturing enterprises based on input-output theory is constructed. Physical and monetary energy consumption coefficient matrices are obtained from the analysis model. Then, some application ideas are proposed, including vertical and horizontal comparison of coefficient matrices elements of a manufacturing enterprise in per unit time, comparison of coefficient matrices elements of a manufacturing enterprise in different unit times, comparison of coefficient matrices elements of manufacturing enterprises within the same industry in per unit time, effect analysis of energy price change to energy consumption of a manufacturing enterprise. Finally, a case study of a heavy-machinery manufacturing enterprises validates its practicability.