Abstract

Many documents containing information about green supply chain are available in various journal, technical and online news reports. With the rising need of improved environmental performance, it is important that companies implement green supply chain. In this research, we built an experimental system to extract information on green supply chain from electronic documents semi-automatically. This information includes various chemical data, green supply chain standards and strategies. We studied the green supply chain practices of three companies and compared them with the general environment standards set by the U.S. Environmental Protection Agency. Collocation analysis is being used for scientific research. In this paper, we used collocation analysis to evaluate the importance of the green supply chain terms that appear in the files of the three companies with those of the standards.

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Evaluating Best Practices in Green Supply Chain

Many documents containing information about green supply chain are available in various journal, technical and online news reports. With the rising need of improved environmental performance, it is important that companies implement green supply chain. In this research, we built an experimental system to extract information on green supply chain from electronic documents semi-automatically. This information includes various chemical data, green supply chain standards and strategies. We studied the green supply chain practices of three companies and compared them with the general environment standards set by the U.S. Environmental Protection Agency. Collocation analysis is being used for scientific research. In this paper, we used collocation analysis to evaluate the importance of the green supply chain terms that appear in the files of the three companies with those of the standards.