Designing a Mixed Evaluating System for Green Manufacturing of Automotive Industry

Main Article Content

Yuhong Cao

angelcaoniuniu@sina.com

Jianxin You

angelcaoniuniu@sina.com

Rui Wang

angelcaoniuniu@sina.com

Yongjiang Shi

angelcaoniuniu@sina.com

Abstract

The article proposed, from a sustainable development perspective, an index system based on Sustainability Balanced Scorecard (SBSC), including the main index of Financial, Internal process, Customer, Learning and growth, Social and the sub- index which comprised 28 indexes to evaluate the Green Manufacturing (GM) of automotive industry. Based on the index system, an evaluation model integrates by back-propagation artificial neural network (BPANN) and genetic algorithm (GA) was introduced. Using established model and indicators evaluated GM in four automotive companies; the key result of the evaluated show that: China’s automotive manufacturing enterprises still have big room for improvement in respect of customer satisfaction, resource consumption, community service, low-carbon activities etc., so the strategy and management activities that put much pressure on these respect are necessary.

Keywords:

SBSC, GM, index system of automotive industry, GA, BPANN

References

Article Details

Cao, Y., You, J., Wang, R., & Shi, Y. (2016). Designing a Mixed Evaluating System for Green Manufacturing of Automotive Industry. Problemy Ekorozwoju, 11(1), 73–86. Retrieved from https://ph.pollub.pl/index.php/preko/article/view/4962

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