Designing a Mixed Evaluating System for Green Manufacturing of Automotive Industry
Yuhong Cao
angelcaoniuniu@sina.comSchool of Management, Shanghai University, Shanghai, 200444, China (China)
Jianxin You
School of Economics &Management, Tongji University, Shanghai, 200092, China (China)
Rui Wang
School of Economics &Management, Tongji University, Shanghai, 200092, China (China)
Yongjiang Shi
Institute for Manufacturing, University of Cambridge, CB3 0FS Cambridge, UK (United Kingdom)
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, BPANNReferences
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Authors
Yuhong Caoangelcaoniuniu@sina.com
School of Management, Shanghai University, Shanghai, 200444, China China
Authors
Jianxin YouSchool of Economics &Management, Tongji University, Shanghai, 200092, China China
Authors
Rui WangSchool of Economics &Management, Tongji University, Shanghai, 200092, China China
Authors
Yongjiang ShiInstitute for Manufacturing, University of Cambridge, CB3 0FS Cambridge, UK United Kingdom
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